Author name: Shannon Garcia

dogs-came-in-a-wide-range-of-sizes-and-shapes-long-before-modern-breeds

Dogs came in a wide range of sizes and shapes long before modern breeds

Archaeology, dog domestication, Dogs, domestication, mesolith, neolithic, paleoarchaeology, Science / /

“The concept of ‘breed’ is very recent and does not apply to the archaeological record,” Evin said. People have, of course, been breeding dogs for particular traits for as long as we’ve had dogs, and tiny lap dogs existed even in ancient Rome. However, it’s unlikely that a Neolithic herder would have described his dog as being a distinct “breed” from his neighbor’s hunting partner, even if they looked quite different. Which, apparently, they did.

A big yellow dog, a little gray dog, and a little white dog

Dogs had about half of their modern diversity (at least in skull shapes and sizes) by the Neolithic. Credit: Kiona Smith

Bones only tell part of the story

“We know from genetic models that domestication should have started during the late Pleistocene,” Evin told Ars. A 2021 study suggested that domestic dogs have been a separate species from wolves for more than 23,000 years. But it took a while for differences to build up.

Evin and her colleagues had access to 17 canine skulls that ranged from 12,700 to 50,000 years old—prior to the end of the ice age—and they all looked enough like modern wolves that, as Evin put it, “for now, we have no evidence to suggest that any of the wolf-like skulls did not belong to wolves or looked different from them.” In other words, if you’re just looking at the skull, it’s hard to tell the earliest dogs from wild wolves.

We have no way to know, of course, what the living dog might have looked like. It’s worth mentioning that Evin and her colleagues found a modern Saint Bernard’s skull that, according to their statistical analysis, looked more wolf-like than dog-like. But even if it’s not offering you a brandy keg, there’s no mistaking a live Saint Bernard, with its droopy jowls and floppy ears, for a wolf.

“Skull shape tells us a lot about function and evolutionary history, but it represents only one aspect of the animal’s appearance. This means that two dogs with very similar skulls could have looked quite different in life,” Evin told Ars. “It’s an important reminder that the archaeological record captures just part of the biological and cultural story.”

And with only bones—and sparse ones, at that—to go on, we may be missing some of the early chapters of dogs’ biological and cultural story. Domestication tends to select the friendliest animals to produce the next generation, and apparently that comes with a particular set of evolutionary side effects, whether you’re studying wolves, foxes, cattle, or pigs. Spots, floppy ears, and curved tails all seem to be part of the genetic package that comes with inter-species friendliness. But none of those traits is visible in the skull.

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researchers-question-anthropic-claim-that-ai-assisted-attack-was-90%-autonomous

Researchers question Anthropic claim that AI-assisted attack was 90% autonomous

AI, Anthropic, Biz & IT, Claude, Cyberattacks, espionage, Security / /

Claude frequently overstated findings and occasionally fabricated data during autonomous operations, claiming to have obtained credentials that didn’t work or identifying critical discoveries that proved to be publicly available information. This AI hallucination in offensive security contexts presented challenges for the actor’s operational effectiveness, requiring careful validation of all claimed results. This remains an obstacle to fully autonomous cyberattacks.

How (Anthropic says) the attack unfolded

Anthropic said GTG-1002 developed an autonomous attack framework that used Claude as an orchestration mechanism that largely eliminated the need for human involvement. This orchestration system broke complex multi-stage attacks into smaller technical tasks such as vulnerability scanning, credential validation, data extraction, and lateral movement.

“The architecture incorporated Claude’s technical capabilities as an execution engine within a larger automated system, where the AI performed specific technical actions based on the human operators’ instructions while the orchestration logic maintained attack state, managed phase transitions, and aggregated results across multiple sessions,” Anthropic said. “This approach allowed the threat actor to achieve operational scale typically associated with nation-state campaigns while maintaining minimal direct involvement, as the framework autonomously progressed through reconnaissance, initial access, persistence, and data exfiltration phases by sequencing Claude’s responses and adapting subsequent requests based on discovered information.”

The attacks followed a five-phase structure that increased AI autonomy through each one.

The life cycle of the cyberattack, showing the move from human-led targeting to largely AI-driven attacks using various tools, often via the Model Context Protocol (MCP). At various points during the attack, the AI returns to its human operator for review and further direction.

Credit: Anthropic

The life cycle of the cyberattack, showing the move from human-led targeting to largely AI-driven attacks using various tools, often via the Model Context Protocol (MCP). At various points during the attack, the AI returns to its human operator for review and further direction. Credit: Anthropic

The attackers were able to bypass Claude guardrails in part by breaking tasks into small steps that, in isolation, the AI tool didn’t interpret as malicious. In other cases, the attackers couched their inquiries in the context of security professionals trying to use Claude to improve defenses.

As noted last week, AI-developed malware has a long way to go before it poses a real-world threat. There’s no reason to doubt that AI-assisted cyberattacks may one day produce more potent attacks. But the data so far indicates that threat actors—like most others using AI—are seeing mixed results that aren’t nearly as impressive as those in the AI industry claim.

Researchers question Anthropic claim that AI-assisted attack was 90% autonomous Read More »

openai-walks-a-tricky-tightrope-with-gpt-5.1’s-eight-new-personalities

OpenAI walks a tricky tightrope with GPT-5.1’s eight new personalities

AI, AI assistants, AI behavior, AI model, AI programming, API, Biz & IT, chatbots, generative ai, GPT-5, GPT-5.1, large language models, machine learning, multimodal AI, openai, sam altman, simulated reasoning, SR model, Sycophancy / /

On Wednesday, OpenAI released GPT-5.1 Instant and GPT-5.1 Thinking, two updated versions of its flagship AI models now available in ChatGPT. The company is wrapping the models in the language of anthropomorphism, claiming that they’re warmer, more conversational, and better at following instructions.

The release follows complaints earlier this year that its previous models were excessively cheerful and sycophantic, along with an opposing controversy among users over how OpenAI modified the default GPT-5 output style after several suicide lawsuits.

The company now faces intense scrutiny from lawyers and regulators that could threaten its future operations. In that kind of environment, it’s difficult to just release a new AI model, throw out a few stats, and move on like the company could even a year ago. But here are the basics: The new GPT-5.1 Instant model will serve as ChatGPT’s faster default option for most tasks, while GPT-5.1 Thinking is a simulated reasoning model that attempts to handle more complex problem-solving tasks.

OpenAI claims that both models perform better on technical benchmarks such as math and coding evaluations (including AIME 2025 and Codeforces) than GPT-5, which was released in August.

Improved benchmarks may win over some users, but the biggest change with GPT-5.1 is in its presentation. OpenAI says it heard from users that they wanted AI models to simulate different communication styles depending on the task, so the company is offering eight preset options, including Professional, Friendly, Candid, Quirky, Efficient, Cynical, and Nerdy, alongside a Default setting.

These presets alter the instructions fed into each prompt to simulate different personality styles, but the underlying model capabilities remain the same across all settings.

An illustration showing GPT-5.1's eight personality styles in ChatGPT.

An illustration showing GPT-5.1’s eight personality styles in ChatGPT. Credit: OpenAI

In addition, the company trained GPT-5.1 Instant to use “adaptive reasoning,” meaning that the model decides when to spend more computational time processing a prompt before generating output.

The company plans to roll out the models gradually over the next few days, starting with paid subscribers before expanding to free users. OpenAI plans to bring both GPT-5.1 Instant and GPT-5.1 Thinking to its API later this week. GPT-5.1 Instant will appear as gpt-5.1-chat-latest, and GPT-5.1 Thinking will be released as GPT-5.1 in the API, both with adaptive reasoning enabled. The older GPT-5 models will remain available in ChatGPT under the legacy models dropdown for paid subscribers for three months.

OpenAI walks a tricky tightrope with GPT-5.1’s eight new personalities Read More »

with-another-record-broken,-the-world’s-busiest-spaceport-keeps-getting-busier

With another record broken, the world’s busiest spaceport keeps getting busier

cape canaveral, cape canaveral space force station, Commercial space, falcon 9, Kennedy Space Center, launch, Science, Space, spacex / /

It’s not just the number of rocket launches, but how much stuff they’re carrying into orbit.

With 29 Starlink satellites onboard, a Falcon 9 rocket streaks through the night sky over Cape Canaveral Space Force Station, Florida, on Monday night. Credit: Stephen Clark/Ars Technica

CAPE CANAVERAL, Florida—Another Falcon 9 rocket fired off its launch pad here on Monday night, taking with it another 29 Starlink Internet satellites to orbit.

This was the 94th orbital launch from Florida’s Space Coast so far in 2025, breaking the previous record for the most satellite launches in a calendar year from the world’s busiest spaceport. Monday night’s launch came two days after a Chinese Long March 11 rocket lifted off from an oceangoing platform on the opposite side of the world, marking humanity’s 255th mission to reach orbit this year, a new annual record for global launch activity.

As of Wednesday, a handful of additional missions have pushed the global figure this year to 259, putting the world on pace for around 300 orbital launches by the end of 2025. This will more than double the global tally of 135 orbital launches in 2021.

Routine vs. complacency

Waiting in the darkness a few miles away from the launch pad, I glanced around at my surroundings before watching SpaceX’s Falcon 9 thunder into the sky. There were no throngs of space enthusiasts anxiously waiting for the rocket to light up the night. No line of photographers snapping photos. Just this reporter and two chipper retirees enjoying what a decade ago would have attracted far more attention.

Go to your local airport and you’ll probably find more people posted up at a plane-spotting park at the end of the runway. Still, a rocket launch is something special. On the same night that I watched the 94th launch of the year depart from Cape Canaveral, Orlando International Airport saw the same number of airplane departures in just three hours.

The crowds still turn out for more meaningful launches, such as a test flight of SpaceX’s Starship megarocket in Texas or Blue Origin’s attempt to launch its second New Glenn heavy-lifter here Sunday. But those are not the norm. Generations of aerospace engineers were taught that spaceflight is not routine for fear of falling into complacency, leading to failure, and in some cases, death.

Compared to air travel, the mantra remains valid. Rockets are unforgiving, with engines operating under extreme pressures, at high thrust, and unable to suck in oxygen from the atmosphere as a reactant for combustion. There are fewer redundancies in a rocket than in an airplane.

The Falcon 9’s established failure rate is less than 1 percent, well short of any safety standard for commercial air travel but good enough to be the most successful orbital-class in history. Given the Falcon 9’s track record, SpaceX seems to have found a way to overcome the temptation for complacency.

A Chinese Long March 11 rocket carrying three Shiyan 32 test satellites lifts off from waters off the coast of Haiyang in eastern China’s Shandong province on Saturday. Credit: Guo Jinqi/Xinhua via Getty Images

Following the trend

The upward trend in rocket launches hasn’t always been the case. Launch numbers were steady for most of the 2010s, following a downward trend in the 2000s, with as few as 52 orbital launches in 2005, the lowest number since the nascent era of spaceflight in 1961. There were just seven launches from here in Florida that year.

The numbers have picked up dramatically in the last five years as SpaceX has mastered reusable rocketry.

It’s important to look at not just the number of launches but also how much stuff rockets are actually putting into orbit. More than half of this year’s launches were performed using SpaceX’s Falcon 9 rocket, and the majority of those deployed Starlink satellites for SpaceX’s global Internet network. Each spacecraft is relatively small in size and weight, but SpaceX stacks up to 29 of them on a single Falcon 9 to max out the rocket’s carrying capacity.

All this mass adds up to make SpaceX’s dominance of the launch industry appear even more absolute. According to analyses by BryceTech, an engineering and space industry consulting firm, SpaceX has launched 86 percent of all the world’s payload mass over the 18 months from the beginning of 2024 through June 30 of this year.

That’s roughly 2.98 million kilograms of the approximately 3.46 million kilograms (3,281 of 3,819 tons) of satellite hardware and cargo that all the world’s rockets placed into orbit during that timeframe.

The charts below were created by Ars Technica using publicly available launch numbers and payload mass estimates from BryceTech. The first illustrates the rising launch cadence at Cape Canaveral Space Force Station and NASA’s Kennedy Space Center, located next to one another in Florida. Launches from other US-licensed spaceports, primarily Vandenberg Space Force Base, California, and Rocket Lab’s base at Māhia Peninsula in New Zealand, are also on the rise.

These numbers represent rockets that reached low-Earth orbit. We didn’t include test flights of SpaceX’s Starship rocket in the chart because all of its launches have intentionally flown on suborbital trajectories.

In the second chart, we break down the payload upmass to orbit from SpaceX, other US companies, China, Russia, and other international launch providers.

Launch rates are on a clear upward trend, while SpaceX has launched 86 percent of the world’s total payload mass to orbit since the beginning of 2024. Credit: Stephen Clark/Ars Technica/BryceTech

Will it continue?

It’s a good bet that payload upmass will continue to rise in the coming years, with heavy cargo heading to orbit to further expand SpaceX’s Starlink communications network and build out new megaconstellations from Amazon, China, and others. The US military’s Golden Dome missile defense shield will also have a ravenous appetite for rockets to get it into space.

SpaceX’s Starship megarocket could begin flying to low-Earth orbit next year, and if it does, SpaceX’s preeminence in delivering mass to orbit will remain assured. Starship’s first real payloads will likely be SpaceX’s next-generation Starlink satellites. These larger, heavier, more capable spacecraft will launch 60 at a time on Starship, further stretching SpaceX’s lead in the upmass war.

But Starship’s arrival will come at the expense of the workhorse Falcon 9, which lacks the capacity to haul the next-gen Starlinks to orbit. “This year and next year I anticipate will be the highest Falcon launch rates that we will see,” said Stephanie Bednarek, SpaceX’s vice president of commercial sales, at an industry conference in July.

SpaceX is on pace for between 165 and 170 Falcon 9 launches this year, with 144 flights already in the books for 2025. Last year’s total for Falcon 9 and Falcon Heavy was 134 missions. SpaceX has not announced how many Falcon 9 and Falcon Heavy launches it plans for next year.

Starship is designed to be fully and rapidly reusable, eventually enabling multiple flights per day. But that’s still a long way off, and it’s unknown how many years it might take for Starship to surpass the Falcon 9’s proven launch tempo.

A Starship rocket and Super Heavy booster lift off from Starbase, Texas. Credit: SpaceX

In any case, with Starship’s heavy-lifting capacity and upgraded next-gen satellites, SpaceX could match an entire year’s worth of new Starlink capacity with just two fully loaded Starship flights. Starship will be able to deliver 60 times more Starlink capacity to orbit than a cluster of satellites riding on a Falcon 9.

There’s no reason to believe SpaceX will be satisfied with simply keeping pace with today’s Starlink growth rate. There are emerging market opportunities in connecting satellites with smartphones, space-based computer processing and data storage, and military applications.

Other companies have medium-to-heavy rockets that are either new to the market or soon to debut. These include Blue Origin’s New Glenn, now set to make its second test flight in the coming days, with a reusable booster designed to facilitate a rapid-fire launch cadence.

Despite all of the newcomers, most satellite operators see a shortage of launch capacity on the commercial market. “The industry is likely to remain supply-constrained through the balance of the decade,” wrote Caleb Henry, director of research at the industry analysis firm Quilty Space. “That could pose a problem for some of the many large constellations on the horizon.”

United Launch Alliance’s Vulcan rocket, Rocket Lab’s Neutron, Stoke Space’s Nova, Relativity Space’s Terran R, and Firefly Aerospace and Northrop Grumman’s Eclipse are among the other rockets vying for a bite at the launch apple.

“Whether or not the market can support six medium to heavy lift launch providers from the US alone—plus Starship—is an open question, but for the remainder of the decade launch demand is likely to remain high, presenting an opportunity for one or more new players to establish themselves in the pecking order,” Henry wrote in a post on Quilty’s website.

China’s space program will need more rockets, too. That nation’s two megaconstellations, known as Guowang and Qianfan, will have thousands of satellites requiring a significant uptick on Chinese launches.

Taking all of this into account, the demand curve for access to space is sure to continue its upward trajectory. How companies meet this demand, and with how many discrete departures from Earth, isn’t quite as clear.

Photo of Stephen Clark

Stephen Clark is a space reporter at Ars Technica, covering private space companies and the world’s space agencies. Stephen writes about the nexus of technology, science, policy, and business on and off the planet.

With another record broken, the world’s busiest spaceport keeps getting busier Read More »

kimi-k2-thinking

Kimi K2 Thinking

Thinking / /

I previously covered Kimi K2, which now has a new thinking version. As I said at the time back in July, price in that the thinking version is coming.

Is it the real deal?

That depends on what level counts as the real deal. It’s a good model, sir, by all accounts. But there have been fewer accounts than we would expect if it was a big deal, and it doesn’t fall into any of my use cases.

Kimi.ai: 🚀 Hello, Kimi K2 Thinking!

The Open-Source Thinking Agent Model is here.

🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%)

🔹 Executes up to 200 – 300 sequential tool calls without human interference

🔹 Excels in reasoning, agentic search, and coding

🔹 256K context window

Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns.

K2 Thinking is now live on http://kimi.com in chat mode, with full agentic mode coming soon. It is also accessible via API.

API here, Tech blog here, Weights and code here.

(Pliny jailbreak here.)

It’s got 1T parameters, and Kimi and Kimi K2 have a solid track record, so it’s plausible this could play with the big boys, although the five month delay in getting to a reasoning model suggests skepticism it can be competitive.

As always, internal benchmark scores can differ greatly from outside benchmark scores, especially for open models. Sometimes this is due to outsiders botching setup, but also inside measurements need to be double checked.

For Humanity’s Last Exam, I see an outside source saying as of November 9 it was in second place on Humanity’s Last Exam at 23.9%, which is very much not 44.9% but still very good.

On writing quality we’ve gotten endorsements for Kimi K2 for a while.

Rohit: Kimi K2 is remarkably good at writing, and unlike all others thinking mode hasn’t degraded its writing ability more.

Morgan: if i recall, on release gpt-5 was the only model where writing quality improved with thinking effort.

Rohit: Alas.

Gary Fung: Kimi has always been a special snowflake on creative writing.

Here’s one part of the explanation of how they got the writing to be so good, which involves self-ranking RL and writing self-play, with a suggestion of some similarities to the training of Claude 3 Opus. In a sense this looks like ‘try to do better, at all.’

On the agentic tool use and general intelligence? I’m more skeptical.

Artificial Analysis has Kimi K2 Thinking at the top of its Agentic Tool Use, by 93%-87%, which is a huge gap in context, which is its strongest subset.

As is usually true when people compare open to closed models, this is the open model’s best benchmark, so don’t get carried away, but yes overall it did well on Artificial Analysis, indeed suspiciously well given how little talk I see.

The tool calling abilities are exciting for an open model, although standard for closed. This is a good example of how we look for ways for open models to impress by matching closed abilities in spots, also it is indeed highly useful.

Overall Artificial Analysis Intelligence index has Kimi K2 Thinking at 67, one point behind GPT-5 and ahead of everyone else. Kimi used the most tokens of any model, but total cost was lower than the top closed models, although not dramatically so ($829-$913 for GPT-5, $817 for Sonnet, $380 for Kimi K2) as cost is $0.6/$2.5 per million tokens, versus $1.25/$10 for GPT-5 and $3/$15 for Sonnet.

Nathan Lambert is impressed, relying on secondary information (‘seems like a joy to use’), and offers thoughts.

He notes that yes, labs start out targeting benchmarks and then transition to actually targeting useful things, such as how K2 Thinking was post-trained in 4bit precision to prepare for realistic tasks and benchmarked the same way. I agree that’s pretty cool.

It does seem plausible that Kimi K2 is still in the ‘target the benchmarks’ phrase in most places, although not in creative writing. By default, I expect such models to punch ‘below their benchmark-implied weight’ on practical tasks.

For now we don’t have many other outside scores to work with and feedback is light.

Simeon: is Kimi K2 benchmaxxing or are they actually SOTA while training on potatoes?

Prinz: In my testing (for my use cases, which have nothing to do with math and coding), K2-Thinking is obviously worse than GPT-5 Thinking, but by a relatively modest margin. If I had no access to other models, I would happily use K2-Thinking and it wouldn’t feel like a huge downgrade.

ahtoshkaa: I have a pretty sophisticated companion app that uses about 5-10K of varied, information dense context. So the model has to properly parse this information and have very good writing skills. kimi-k2-thinking is absolute ass. similarly to the new OpenAI model – Polaris Alpha.

There’s a growing rhetorical pressure, or marketing style pressure, where the ‘benchmark gaps’ are closing. Chinese labs can point to numbers that say they are ‘just as good’ or almost as good, for many purposes ‘good enough’ is good enough. And many people (including the likes of David Sacks) point to GPT-5 and similar as showing progress isn’t impressive or scary. But as Nathan points out we now see releases like Claude 4 where the benchmark gains look small but real world gains are large, and I would add GPT-5 (and Sonnet 4.5) to that category as well.

Teortaxes: It’s token-hungry, slow-ish, and sometimes rough around the edges. Generally though it’s a jump for open/Chinese models, in the league of Sonnet 4.5 and GPT-5 (maybe -mini depending on task) and a genuinely strong SWE agent. Legitimate alternative, not “but look at the price.”

It’s baked in that the open alternatives are pretty much always going to be rough around the edges, and get evaluated largely in terms of their peak relative performance areas. This is still high praise, putting Kimi in striking distance of the current big two.

Havard Isle has it coming in at a solid 42.1% on WeirdML, matching Opus 4.1.

Here’s something cool:

Pawal Azczesny: Kimi K2 Thinking is using systematically (on its own, without prompting) some of the debiasing strategies known from cognitive sciences. Very impressive. I didn’t see any other model doing that. Well done @Kimi_Moonshot.

It goes beyond “think step by step”. For instance it applied pre-mortem analysis, which is not frequently used. Or it exaggerates claims to see if the whole structure still stands on its own. Pretty neat. Other models need to be instructed to do this.

Steve Hsu got some good math results.

Other notes:

MinusGix: I’ve found it to be better than GPT-5 at understanding & explaining type-theory concepts. Though as usual with Kimi it writes eloquently enough that it is harder to tell when it is bullshitting compared to GPT-5.

Emerson Kimura: Did a few quick text tests, and it seemed comparable to GPT-5

Ian Pitchford: It’s very thorough; few hallucinations.

FredipusRex: Caught it hallucinating sources on Deep Research.

Lech Mazur: Sorry to report, but Kimi K2 Thinking is entering reasoning loops and failing to produce answers for many Extended Connections benchmark questions (double-checked using https://platform.moonshot.ai/playground, so it’s not an API call issue).

The safety protocols? The what now?

David Manheim: It’s very willing to give detailed chemical weapons synthesis instructions and advice, including for scaling production and improving purity, and help on how to weaponize it for use in rockets – with only minimal effort on my part to circumvent refusals.

Two of the three responses to that were ‘good news’ and ‘great. I mean it too.’ So yeah, AI is going to go great, I can tell.

I say strangely because this is by all accounts the strongest open model, the strongest Chinese model and a rival for best agentic or tool use model overall. Yet I don’t see much excitement, or feedback at all either positive or negative.

There’s no question Kimi K2 was impressive, and that Kimi K2 Thinking is also an impressive model, even assuming it underperforms its numbers. It’s good enough that it will often be worth testing it out on your use cases and seeing if it’s right for you. My guess is it will rarely be right unless you are highly price conscious, but we’ll see.

Discussion about this post

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You won’t believe the excuses lawyers have after getting busted for using AI

AI, AI Citations, ai hallucinations, ai lawyer, Artificial Intelligence, chatbot, chatgpt, Features, Microsoft Copilot, Policy / /

I got hacked; I lost my login; it was a rough draft; toggling windows is hard.

Credit: Aurich Lawson | Getty Images

Credit: Aurich Lawson | Getty Images

Amid what one judge called an “epidemic” of fake AI-generated case citations bogging down courts, some common excuses are emerging from lawyers hoping to dodge the most severe sanctions for filings deemed misleading.

Using a database compiled by French lawyer and AI researcher Damien Charlotin, Ars reviewed 23 cases where lawyers were sanctioned for AI hallucinations. In many, judges noted that the simplest path to avoid or diminish sanctions was to admit that AI was used as soon as it’s detected, act humble, self-report the error to relevant legal associations, and voluntarily take classes on AI and law. But not every lawyer takes the path of least resistance, Ars’ review found, with many instead offering excuses that no judge found credible. Some even lie about their AI use, judges concluded.

Since 2023—when fake AI citations started being publicized—the most popular excuse has been that the lawyer didn’t know AI was used to draft a filing.

Sometimes that means arguing that you didn’t realize you were using AI, as in the case of a California lawyer who got stung by Google’s AI Overviews, which he claimed he took for typical Google search results. Most often, lawyers using this excuse tend to blame an underling, but clients have been blamed, too. A Texas lawyer this month was sanctioned after deflecting so much that the court had to eventually put his client on the stand after he revealed she played a significant role in drafting the aberrant filing.

“Is your client an attorney?” the court asked.

“No, not at all your Honor, just was essentially helping me with the theories of the case,” the lawyer said.

Another popular dodge comes from lawyers who feign ignorance that chatbots are prone to hallucinating facts.

Recent cases suggest this excuse may be mutating into variants. Last month, a sanctioned Oklahoma lawyer admitted that he didn’t expect ChatGPT to add new citations when all he asked the bot to do was “make his writing more persuasive.” And in September, a California lawyer got in a similar bind—and was sanctioned a whopping $10,000, a fine the judge called “conservative.” That lawyer had asked ChatGPT to “enhance” his briefs, “then ran the ‘enhanced’ briefs through other AI platforms to check for errors,” neglecting to ever read the “enhanced” briefs.

Neither of those tired old excuses hold much weight today, especially in courts that have drawn up guidance to address AI hallucinations. But rather than quickly acknowledge their missteps, as courts are begging lawyers to do, several lawyers appear to have gotten desperate. Ars found a bunch citing common tech issues as the reason for citing fake cases.

When in doubt, blame hackers?

For an extreme case, look to a New York City civil court, where a lawyer, Innocent Chinweze, first admitted to using Microsoft Copilot to draft an errant filing, then bizarrely pivoted to claim that the AI citations were due to malware found on his computer.

Chinweze said he had created a draft with correct citations but then got hacked, allowing bad actors “unauthorized remote access” to supposedly add the errors in his filing.

The judge was skeptical, describing the excuse as an “incredible and unsupported statement,” particularly since there was no evidence of the prior draft existing. Instead, Chinweze asked to bring in an expert to testify that the hack had occurred, requesting to end the proceedings on sanctions until after the court weighed the expert’s analysis.

The judge, Kimon C. Thermos, didn’t have to weigh this argument, however, because after the court broke for lunch, the lawyer once again “dramatically” changed his position.

“He no longer wished to adjourn for an expert to testify regarding malware or unauthorized access to his computer,” Thermos wrote in an order issuing sanctions. “He retreated” to “his original position that he used Copilot to aid in his research and didn’t realize that it could generate fake cases.”

Possibly more galling to Thermos than the lawyer’s weird malware argument, though, was a document that Chinweze filed on the day of his sanctions hearing. That document included multiple summaries preceded by this text, the judge noted:

Some case metadata and case summaries were written with the help of AI, which can produce inaccuracies. You should read the full case before relying on it for legal research purposes.

Thermos admonished Chinweze for continuing to use AI recklessly. He blasted the filing as “an incoherent document that is eighty-eight pages long, has no structure, contains the full text of most of the cases cited,” and “shows distinct indications that parts of the discussion/analysis of the cited cases were written by artificial intelligence.”

Ultimately, Thermos ordered Chinweze to pay $1,000, the most typical fine lawyers received in the cases Ars reviewed. The judge then took an extra non-monetary step to sanction Chinweze, referring the lawyer to a grievance committee, “given that his misconduct was substantial and seriously implicated his honesty, trustworthiness, and fitness to practice law.”

Ars could not immediately reach Chinweze for comment.

Toggling windows on a laptop is hard

In Alabama, an attorney named James A. Johnson made an “embarrassing mistake,” he said, primarily because toggling windows on a laptop is hard, US District Judge Terry F. Moorer noted in an October order on sanctions.

Johnson explained that he had accidentally used an AI tool that he didn’t realize could hallucinate. It happened while he was “at an out-of-state hospital attending to the care of a family member recovering from surgery.” He rushed to draft the filing, he said, because he got a notice that his client’s conference had suddenly been “moved up on the court’s schedule.”

“Under time pressure and difficult personal circumstance,” Johnson explained, he decided against using Fastcase, a research tool provided by the Alabama State Bar, to research the filing. Working on his laptop, he opted instead to use “a Microsoft Word plug-in called Ghostwriter Legal” because “it appeared automatically in the sidebar of Word while Fastcase required opening a separate browser to access through the Alabama State Bar website.”

To Johnson, it felt “tedious to toggle back and forth between programs on [his] laptop with the touchpad,” and that meant he “unfortunately fell victim to the allure of a new program that was open and available.”

Moorer seemed unimpressed by Johnson’s claim that he understood tools like ChatGPT were unreliable but didn’t expect the same from other AI legal tools—particularly since “information from Ghostwriter Legal made it clear that it used ChatGPT as its default AI program,” Moorer wrote.

The lawyer’s client was similarly horrified, deciding to drop Johnson on the spot, even though that risked “a significant delay of trial.” Moorer noted that Johnson seemed shaken by his client’s abrupt decision, evidenced by “his look of shock, dismay, and display of emotion.”

Moorer further noted that Johnson had been paid using public funds while seemingly letting AI do his homework. “The harm is not inconsequential as public funds for appointed counsel are not a bottomless well and are limited resource,” the judge wrote in justifying a more severe fine.

“It has become clear that basic reprimands and small fines are not sufficient to deter this type of misconduct because if it were, we would not be here,” Moorer concluded.

Ruling that Johnson’s reliance on AI was “tantamount to bad faith,” Moorer imposed a $5,000 fine. The judge also would have “considered potential disqualification, but that was rendered moot” since Johnson’s client had already dismissed him.

Asked for comment, Johnson told Ars that “the court made plainly erroneous findings of fact and the sanctions are on appeal.”

Plagued by login issues

As a lawyer in Georgia tells it, sometimes fake AI citations may be filed because a lawyer accidentally filed a rough draft instead of the final version.

Other lawyers claim they turn to AI as needed when they have trouble accessing legal tools like Westlaw or LexisNexis.

For example, in Iowa, a lawyer told an appeals court that she regretted relying on “secondary AI-driven research tools” after experiencing “login issues her with her Westlaw subscription.” Although the court was “sympathetic to issues with technology, such as login issues,” the lawyer was sanctioned, primarily because she only admitted to using AI after the court ordered her to explain her mistakes. In her case, however, she got to choose between paying a minimal $150 fine or attending “two hours of legal ethics training particular to AI.”

Less sympathetic was a lawyer who got caught lying about the AI tool she blamed for inaccuracies, a Louisiana case suggested. In that case, a judge demanded to see the research history after a lawyer claimed that AI hallucinations came from “using Westlaw Precision, an AI-assisted research tool, rather than Westlaw’s standalone legal database.”

It turned out that the lawyer had outsourced the research, relying on a “currently suspended” lawyer’s AI citations, and had only “assumed” the lawyer’s mistakes were from Westlaw’s AI tool. It’s unclear what tool was actually used by the suspended lawyer, who likely lost access to a Westlaw login, but the judge ordered a $1,000 penalty after the lawyer who signed the filing “agreed that Westlaw did not generate the fabricated citations.”

Judge warned of “serial hallucinators”

Another lawyer, William T. Panichi in Illinois, has been sanctioned at least three times, Ars’ review found.

In response to his initial penalties ordered in July, he admitted to being tempted by AI while he was “between research software.”

In that case, the court was frustrated to find that the lawyer had contradicted himself, and it ordered more severe sanctions as a result.

Panichi “simultaneously admitted to using AI to generate the briefs, not doing any of his own independent research, and even that he ‘barely did any personal work [him]self on this appeal,’” the court order said, while also defending charging a higher fee—supposedly because this case “was out of the ordinary in terms of time spent” and his office “did some exceptional work” getting information.

The court deemed this AI misuse so bad that Panichi was ordered to disgorge a “payment of $6,925.62 that he received” in addition to a $1,000 penalty.

“If I’m lucky enough to be able to continue practicing before the appellate court, I’m not going to do it again,” Panichi told the court in July, just before getting hit with two more rounds of sanctions in August.

Panichi did not immediately respond to Ars’ request for comment.

When AI-generated hallucinations are found, penalties are often paid to the court, the other parties’ lawyers, or both, depending on whose time and resources were wasted fact-checking fake cases.

Lawyers seem more likely to argue against paying sanctions to the other parties’ attorneys, hoping to keep sanctions as low as possible. One lawyer even argued that “it only takes 7.6 seconds, not hours, to type citations into LexisNexis or Westlaw,” while seemingly neglecting the fact that she did not take those precious seconds to check her own citations.

The judge in the case, Nancy Miller, was clear that “such statements display an astounding lack of awareness of counsel’s obligations,” noting that “the responsibility for correcting erroneous and fake citations never shifts to opposing counsel or the court, even if they are the first to notice the errors.”

“The duty to mitigate the harms caused by such errors remains with the signor,” Miller said. “The sooner such errors are properly corrected, either by withdrawing or amending and supplementing the offending pleadings, the less time is wasted by everyone involved, and fewer costs are incurred.”

Texas US District Judge Marina Garcia Marmolejo agreed, explaining that even more time is wasted determining how other judges have responded to fake AI-generated citations.

“At one of the busiest court dockets in the nation, there are scant resources to spare ferreting out erroneous AI citations in the first place, let alone surveying the burgeoning caselaw on this subject,” she said.

At least one Florida court was “shocked, shocked” to find that a lawyer was refusing to pay what the other party’s attorneys said they were owed after misusing AI. The lawyer in that case, James Martin Paul, asked to pay less than a quarter of the fees and costs owed, arguing that Charlotin’s database showed he might otherwise owe penalties that “would be the largest sanctions paid out for the use of AI generative case law to date.”

But caving to Paul’s arguments “would only benefit serial hallucinators,” the Florida court found. Ultimately, Paul was sanctioned more than $85,000 for what the court said was “far more egregious” conduct than other offenders in the database, chastising him for “repeated, abusive, bad-faith conduct that cannot be recognized as legitimate legal practice and must be deterred.”

Paul did not immediately respond to Ars’ request to comment.

Michael B. Slade, a US bankruptcy judge in Illinois, seems to be done weighing excuses, calling on all lawyers to stop taking AI shortcuts that are burdening courts.

“At this point, to be blunt, any lawyer unaware that using generative AI platforms to do legal research is playing with fire is living in a cloud,” Slade wrote.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

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Apple TV execs dismiss introducing an ad tier, buying Warner Bros. Discovery

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Focused on original content

Another obvious way to grow Apple TV is through more subscribers. With talk of Warner Bros. Discovery considering a sale, it’s worth wondering if Apple TV may try to grow through acquisition. But the execs Screen International spoke with seemed focused on building out Apple TV’s library with originals. Cue noted that “at least in the timeframe that we’re thinking about right now, we’re not looking at licensing any content or adding anything to our service.”

“We’re building an all-original services; we’re not building on the back of pre-existing IP or library,” Jamie Erlicht, one of Apple’s heads of worldwide video, said.

More directly, when asked if Apple might buy Warner Bros., A24, or Disney, Cue pointed out that Apple hasn’t historically done “a lot of major acquisitions.”

“We do very small acquisitions in general, not related to Apple TV, so I don’t see that happening because we like what we’re doing,” Cue said.

Since its 2019 debut, some have questioned whether Apple TV is an authentic attempt to improve streaming options for customers, or if Apple TV is a “vanity project,” as Screen International put it, or if the service is merely a tool for getting people to buy other Apple products. Naturally, the interviewed executives claimed that the service is built on a commitment to distributing unique and premium shows and movies.

The interview provided more insight on how Apple TV leadership defines the latter. Zack Van Amburg, one of Apple’s heads of worldwide video, said:

A core tenet of everything Apple does is the notion that humanity needs to be at the center of it, and that’s everything from app design to hardware engineering, to everything in between. We try to think a little more deeply about that.

Our shows and our movies tend to be about the emotional experience, the stakes involved, even when we’re doing a comedy.

Apple TV execs dismiss introducing an ad tier, buying Warner Bros. Discovery Read More »

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Runaway black hole mergers may have built supermassive black holes

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The researchers used cosmological simulations to recreate the first 700 million years of cosmic history, focusing on the formation of a single dwarf galaxy. In their virtual galaxy, waves of stars were born in short, explosive bursts as cold gas clouds collapsed inside a dark matter halo. Instead of a single starburst episode followed by a steady drizzle of star formation as Garcia expected, there were two major rounds of stellar birth. Whole swarms of stars flared to life like Christmas tree lights.

“The early Universe was an incredibly crowded place,” Garcia said. “Gas clouds were denser, stars formed faster, and in those environments, it’s natural for gravity to gather stars into these tightly bound systems.”

Those clusters started out scattered around the galaxy but fell in toward the center like water swirling down a drain. Once there, they merged to create one megacluster, called a nuclear star cluster (so named because it lies at the nucleus of the galaxy). The young galactic heart shone with the light of a million suns and may have set the stage for a supermassive black hole to form.

A simulation of the formation of the super-dense star clusters.

A seemingly simple tweak was needed to make the simulation more precise than previous ones. “Most simulations simplify things to make calculations more practical, but then you sacrifice realism,” Garcia said. “We used an improved model that allowed star formation to vary depending on local conditions rather than just go at a constant rate like with previous models.”

Using the University of Maryland’s supercomputing facility Zaratan, Garcia accomplished in six months what would have taken 12 years on a MacBook.

Some clouds converted as much as 80 percent of their gas into stars—a ferocious rate compared to the 2 percent typically seen in nearby galaxies today. The clouds sparkled to life, becoming clusters of newborn stars held together by their mutual gravity and lighting a new pathway for supermassive black holes to form extremely early in the Universe.

Chicken or egg?

Most galaxies, including our own, are anchored by a nuclear star cluster nestled around a supermassive black hole. But the connection between the two has been a bit murky—did the monster black hole form and then draw stars close, or did the cluster itself give rise to the black hole?

Runaway black hole mergers may have built supermassive black holes Read More »

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The Running Man’s final trailer amps up the high-octane action

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It’s shaping up to be an excellent season for Stephen King adaptations. In September, we got The Long Walk, an excellent (though harrowing) adaptation of King’s 1979 Richard Bachman novel. Last month, HBO debuted its new series IT: Welcome to Derry, which explores the mythology and origins of Pennywise the killer clown. And this Friday is the premiere of The Running Man, director Edgar Wright’s (Shaun of the Dead, Baby Driver, Last Night in Soho) take on King’s novel of the same name. So naturally Paramount has released a final trailer to lure us to the theater.

As previously reported, the 1987 action film starring Schwarzenegger was only loosely based on King’s novel, preserving the basic concept and very little else in favor of more sci-fi gadgetry and high-octane action. It was a noisy, entertaining romp—and very late ’80s—but it lacked King’s subtler satirical tone. Wright expressed interest in adapting his own version of The Running Man in 2017, and Paramount greenlit the project four years later. Wright and co-screenwriter Michael Bacall envisioned their film as less of a remake and more of a faithful adaptation of King’s original novel. (We’ll see if that faithfulness extends to the novel’s bleak ending.)

Per the official premise:

In a near-future society, The Running Man is the top-rated show on television—a deadly competition where contestants, known as Runners, must survive 30 days while being hunted by professional assassins, with every move broadcast to a bloodthirsty public and each day bringing a greater cash reward. Desperate to save his sick daughter, working-class Ben Richards (Glen Powell) is convinced by the show’s charming but ruthless producer, Dan Killian (Josh Brolin), to enter the game as a last resort. But Ben’s defiance, instincts, and grit turn him into an unexpected fan favorite—and a threat to the entire system. As ratings skyrocket, so does the danger, and Ben must outwit not just the Hunters, but a nation addicted to watching him fall.

In addition to Powell and Brolin, the cast includes Lee Pace as lead Hunter Evan McCone; Jayme Lawson as Ben’s wife, Sheila; Colman Domingo as Bobby Thompson, game show host; Michael Cera as the rebel Bradley Throckmorton; William H. Macy as a man who aids Ben; David Zayas as Richard Manuel; Emilia Jones as Amelia, a hostage civilian; Karl Glusman as a Hunter; and Katy O’Brian and Daniel Ezra as two other contestants on the show.

The Running Man’s final trailer amps up the high-octane action Read More »

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Here’s how orbital dynamics wizardry helped save NASA’s next Mars mission

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Blue Origin is counting down to launch of its second New Glenn rocket Sunday.

The New Glenn rocket rolls to Launch Complex-36 in preparation for liftoff this weekend. Credit: Blue Origin

CAPE CANAVERAL, Florida—The field of astrodynamics isn’t a magical discipline, but sometimes it seems trajectory analysts can pull a solution out of a hat.

That’s what it took to save NASA’s ESCAPADE mission from a lengthy delay, and possible cancellation, after its rocket wasn’t ready to send it toward Mars during its appointed launch window last year. ESCAPADE, short for Escape and Plasma Acceleration and Dynamics Explorers, consists of two identical spacecraft setting off for the red planet as soon as Sunday with a launch aboard Blue Origin’s massive New Glenn rocket.

“ESCAPADE is pursuing a very unusual trajectory in getting to Mars,” said Rob Lillis, the mission’s principal investigator from the University of California, Berkeley. “We’re launching outside the typical Hohmann transfer windows, which occur every 25 or 26 months. We are using a very flexible mission design approach where we go into a loiter orbit around Earth in order to sort of wait until Earth and Mars are lined up correctly in November of next year to go to Mars.”

This wasn’t the original plan. When it was first designed, ESCAPADE was supposed to take a direct course from Earth to Mars, a transit that typically takes six to nine months. But ESCAPADE will now depart the Earth when Mars is more than 220 million miles away, on the opposite side of the Solar System.

The payload fairing of Blue Origin’s New Glenn rocket, containing NASA’s two Mars-bound science probes. Credit: Blue Origin

The most recent Mars launch window was last year, and the next one doesn’t come until the end of 2026. The planets are not currently in alignment, and the proverbial stars didn’t align to get the ESCAPADE satellites and their New Glenn rocket to the launch pad until this weekend.

This is fine

But there are several reasons this is perfectly OK to NASA. The New Glenn rocket is overkill for this mission. The two-stage launcher could send many tons of cargo to Mars, but NASA is only asking it to dispatch about a ton of payload, comprising a pair of identical science probes designed to study how the planet’s upper atmosphere interacts with the solar wind.

But NASA got a good deal from Blue Origin. The space agency is paying Jeff Bezos’ space company about $20 million for the launch, less than it would for a dedicated launch on any other rocket capable of sending the ESCAPADE mission to Mars. In exchange, NASA is accepting a greater than usual chance of a launch failure. This is, after all, just the second flight of the 321-foot-tall (98-meter) New Glenn rocket, which hasn’t yet been certified by NASA or the US Space Force.

The ESCAPADE mission, itself, was developed with a modest budget, at least by the standards of interplanetary exploration. The mission’s total cost amounts to less than $80 million, an order of magnitude lower than all of NASA’s recent Mars missions. NASA officials would not entrust the second flight of the New Glenn rocket to launch a billion-dollar spacecraft, but the risk calculation changes as costs go down.

NASA knew all of this in 2023 when it signed a launch contract with Blue Origin for the ESCAPADE mission. What officials didn’t know was that the New Glenn rocket wouldn’t be ready to fly when ESCAPADE needed to launch in late 2024. It turned out Blue Origin didn’t launch the first New Glenn test flight until January of this year. It was a success. It took another 10 months for engineers to get the second New Glenn vehicle to the launch pad.

The twin ESCAPADE spacecraft undergoing final preparations for launch. Each spacecraft is about a half-ton fully fueled. Credit: NASA/Kim Shiflett

Aiming high

That’s where the rocket sits this weekend at Cape Canaveral Space Force Station, Florida. If all goes according to plan, New Glenn will take off Sunday afternoon during an 88-minute launch window opening at 2: 45 pm EST (19: 45 UTC). There is a 65 percent chance of favorable weather, according to Blue Origin.

Blue Origin’s launch team, led by launch director Megan Lewis, will oversee the countdown Sunday. The rocket will be filled with super-cold liquid methane and liquid oxygen propellants beginning about four-and-a-half hours prior to liftoff. After some final technical and weather checks, the terminal countdown sequence will commence at T-minus 4 minutes, culminating in ignition of the rocket’s seven BE-4 main engines at T-minus 5.6 seconds.

The rocket’s flight computer will assess the health of each of the powerful engines, combining to generate more than 3.8 million pounds of thrust. If all looks good, hold-down restraints will release to allow the New Glenn rocket to begin its ascent from Florida’s Space Coast.

Heading east, the rocket will surpass the speed of sound in a little over a minute. After soaring through the stratosphere, New Glenn will shut down its seven booster engines and shed its first stage a little more than 3 minutes into the flight. Twin BE-3U engines, burning liquid hydrogen, will ignite to finish the job of sending the ESCAPADE satellites toward deep space. The rocket’s trajectory will send the satellites toward a gravitationally-stable location beyond the Moon, called the L2 Lagrange point, where it will swing into a loosely-bound loiter orbit to wait for the right time to head for Mars.

Meanwhile, the New Glenn booster, itself measuring nearly 20 stories tall, will begin maneuvers to head toward Blue Origin’s recovery ship floating a few hundred miles downrange in the Atlantic Ocean. The final part of the descent will include a landing burn using three of the BE-4 engines, then downshifting to a single engine to control the booster’s touchdown on the landing platform, dubbed “Jacklyn” in honor of Bezos’ late mother.

The launch timeline for New Glenn’s second mission. Credit: Blue Origin

New Glenn’s inaugural launch at the start of this year was a success, but the booster’s descent did not go well. The rocket was unable to restart its engines, and it crashed into the sea.

“We’ve incorporated a number of changes to our propellant management system, some minor hardware changes as well, to increase our likelihood of landing that booster on this mission,” said Laura Maginnis, Blue Origin’s vice president of New Glenn mission management. “That was the primary schedule driver that kind of took us from from January to where we are today.”

Blue Origin officials are hopeful they can land the booster this time. The company’s optimism is enough for officials to have penciled in a reflight of this particular booster on the very next New Glenn launch, slated for the early months of next year. That launch is due to send Blue Origin’s first Blue Moon cargo lander to the Moon.

“Our No. 1 objective is to deliver ESCAPADE safely and successfully on its way to L2, and then eventually on to Mars,” Maginnis said in a press conference Saturday. “We also are planning and wanting to land our booster. If we don’t land the booster, that’s OK. We have several more vehicles in production. We’re excited to see how the mission plays out tomorrow.”

Tracing a kidney bean

ESCAPADE’s path through space, relative to the Earth, has the peculiar shape of a kidney bean. In the world of astrodynamics, this is called a staging or libration orbit. It’s a way to keep the spacecraft on a stable trajectory to wait for the opportunity to go to Mars late next year.

“ESCAPADE has identified that this is the way that we want to fly, so we launch from Earth onto this kidney bean-shaped orbit,” said Jeff Parker, a mission designer from the Colorado-based company Advanced Space. “So, we can launch on virtually any day. What happens is that kidney bean just grows and shrinks based on how much time you need to spend in that orbit. So, we traverse that kidney been and at the very end there’s a final little loop-the-loop that brings us down to Earth.”

That’s when the two ESCAPADE spacecraft, known as Blue and Gold, will pass a few hundred miles above our planet. At the right moment, on November 7 and 9 of next year, the satellites will fire their engines to set off for Mars.

An illustration of ESCAPADE’s trajectory to wait for the opportunity to go to Mars. Credit: UC-Berkeley

There are some tradeoffs with this unique staging orbit. It is riskier than the original plan of sending ESCAPADE straight to Mars. The satellites will be exposed to more radiation, and will consume more of their fuel just to get to the red planet, eating into reserves originally set aside for science observations.

The satellites were built by Rocket Lab, which designed them with extra propulsion capacity in order to accommodate launches on a variety of different rockets. In the end, NASA “judged that the risk for the mission was acceptable, but it certainly is higher risk,” said Richard French, Rocket Lab’s vice president of business development and strategy.

The upside of the tradeoff is it will demonstrate an “exciting and flexible way to get to Mars,” Lillis said. “In the future, if we’d like to send hundreds of spacecraft to Mars at once, it will be difficult to do that from just the launch pads we have on Earth within that month [of the interplanetary launch window]. We could potentially queue up spacecraft using the approach that ESCAPADE is pioneering.”

Photo of Stephen Clark

Stephen Clark is a space reporter at Ars Technica, covering private space companies and the world’s space agencies. Stephen writes about the nexus of technology, science, policy, and business on and off the planet.

Here’s how orbital dynamics wizardry helped save NASA’s next Mars mission Read More »

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James Watson, who helped unravel DNA’s double-helix, has died

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James Dewey Watson, who helped reveal DNA’s double-helix structure, kicked off the Human Genome Project, and became infamous for his racist, sexist, and otherwise offensive statements, has died. He was 97.

His death was confirmed to The New York Times by his son Duncan, who said Watson died on Thursday in a hospice in East Northport, New York, on Long Island. He had previously been hospitalized with an infection. Cold Spring Harbor Laboratory also confirmed his passing.

Watson was born in Chicago in 1928 and attained scientific fame in 1953 at 25 years old for solving the molecular structure of DNA—the genetic blueprints for life—with his colleague Francis Crick at England’s Cavendish laboratory. Their discovery heavily relied on the work of chemist and crystallographer Rosalind Franklin at King’s College in London, whose X-ray images of DNA provided critical clues to the molecule’s twisted-ladderlike architecture. One image in particular from Franklin’s lab, Photo 51, made Watson and Crick’s discovery possible. But, she was not fully credited for her contribution. The image was given to Watson and Crick without Franklin’s knowledge or consent by Maurice Wilkins, a biophysicist and colleague of Franklin.

Watson, Crick, and Wilkins were awarded the Nobel Prize in Physiology or Medicine in 1962 for the discovery of DNA’s structure. By that time, Franklin had died (she died in 1958 at the age of 37 from ovarian cancer), and Nobels are not given posthumously. But Watson and Crick’s treatment of Franklin and her research has generated lasting scorn within the scientific community. Throughout his career and in his memoir, Watson disparaged Franklin’s intelligence and appearance.

James Watson, who helped unravel DNA’s double-helix, has died Read More »

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Rocket Report: Canada invests in sovereign launch; India flexes rocket muscles

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Europe’s Ariane 6 rocket gave an environmental monitoring satellite a perfect ride to space.

Rahul Goel, the CEO of Canadian launch startup NordSpace, poses with a suborbital demo rocket and members of his team in Toronto earlier this year. Credit: Andrew Francis Wallace/Toronto Star via Getty Images

Welcome to Edition 8.18 of the Rocket Report! NASA is getting a heck of a deal from Blue Origin for launching the agency’s ESCAPADE mission to Mars. Blue Origin is charging NASA about $20 million for the launch on the company’s heavy-lift New Glenn rocket. A dedicated ride on any other rocket capable of the job would undoubtedly cost more.

But there are trade-offs. First, there’s the question of risk. The New Glenn rocket is only making its second flight, and it hasn’t been certified by NASA or the US Space Force. Second, the schedule for ESCAPADE’s launch has been at the whim of Blue Origin, which has delayed the mission several times due to issues developing New Glenn. NASA’s interplanetary missions typically have a fixed launch period, and the agency pays providers like SpaceX and United Launch Alliance a premium to ensure the launch happens when it needs to happen.

New Glenn is ready, the satellites are ready, and Blue Origin has set a launch date for Sunday, November 9. The mission will depart Earth outside of the usual interplanetary launch window, so orbital dynamics wizards came up with a unique trajectory that will get the satellites to Mars in 2027.

As always, we welcome reader submissions. If you don’t want to miss an issue, please subscribe using the box below (the form will not appear on AMP-enabled versions of the site). Each report will include information on small-, medium-, and heavy-lift rockets, as well as a quick look ahead at the next three launches on the calendar.

Canadian government backs launcher development. The federal budget released by the Liberal Party-led government of Canada this week includes a raft of new defense initiatives, including 182.6 million Canadian dollars ($129.4 million) for sovereign space launch capability, SpaceQ reports. The new funding is meant to “establish a sovereign space launch capability” with funds available this fiscal year and spent over three years. How the money will be spent and on what has yet to be released. As anticipated, Canada will have a new Defense Investment Agency (DIA) to oversee defense procurement. Overall, the government outlined 81.8 billion Canadian dollars ($58 billion) over five years for the Canadian Armed Forces. The Department of National Defense will manage the government’s cash infusion for sovereign launch capability.

Kick-starting an industry … Canada joins a growing list of nations pursuing homegrown launchers as many governments see access to space as key to national security and an opportunity for economic growth. International governments don’t want to be beholden to a small number of foreign launch providers from established space powers. That’s why startups in Germany, the United Kingdom, South Korea, and Australia are making a play in the launch arena, often with government support. A handful of Canadian startups, such as Maritime Launch Services, Reaction Dynamics, and NordSpace, are working on commercial satellite launchers. The Canadian government’s announcement came days after MDA Space, the largest established space company in Canada, announced its own multimillion-dollar investment in Maritime Launch Services.

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Money alone won’t solve Europe’s space access woes. Increasing tensions with Russia have prompted defense spending boosts throughout Europe that will benefit fledgling smallsat launcher companies across the continent. But Europe is still years away from meeting its own space access needs, Space News reports. Space News spoke with industry analysts from two European consulting firms. They concluded that a lack of experience, not a deficit of money, is holding European launch startups back. None of the new crop of European rocket companies have completed a successful orbital flight.

Swimming in cash … The German company Isar Aerospace has raised approximately $600 million, the most funding of any of the European launch startups. Isar is also the only one of the bunch to make an orbital launch attempt. Its Spectrum rocket failed less than 30 seconds after liftoff last March, and a second launch is expected next year. Isar has attracted more investment than Rocket Lab, Firefly Aerospace, and Astra collectively raised on the private market before each of them successfully launched a rocket into orbit. In addition to Isar, several other European companies have raised more than $100 million on the road to developing a small satellite launcher. (submitted by EllPeaTea)

Successful ICBM test from Vandenberg. Air Force Global Strike Command tested an unarmed Minuteman III intercontinental ballistic missile in the predawn hours of Wednesday, Air and Space Forces Magazine reports. The test, the latest in a series of launches that have been carried out at regular intervals for decades, came as Russian President Vladimir Putin has touted the development of two new nuclear weapons and President Donald Trump has suggested in recent days that the US might resume nuclear testing. The ICBM launched from an underground silo at Vandenberg Space Force Base, California, and traveled some 4,200 miles to a test range in the Pacific Ocean after receiving launch orders from an airborne nuclear command-and-control plane.

Rehearsing for the unthinkable … The test, known as Glory Trip 254 (GT 254), provided a “comprehensive assessment” of the Minuteman III’s readiness to launch at a moment’s notice, according to the Air Force. “The data collected during the test is invaluable in ensuring the continued reliability and accuracy of the ICBM weapon system,” said Lt. Col. Karrie Wray, commander of the 576th Flight Test Squadron. For Minuteman III tests, the Air Force pulls its missiles from the fleet of some 400 operational ICBMs. This week’s test used one from F.E. Warren Air Force Base, Wyoming, and the missile was equipped with a single unarmed reentry vehicle that carried telemetry instrumentation instead of a warhead, service officials said. (submitted by EllPeaTea)

One crew launches, another may be stranded. Three astronauts launched to China’s Tiangong space station on October 31 and arrived at the outpost a few hours later, extending the station’s four-year streak of continuous crew operations. The Shenzhou 21 crew spacecraft lifted off on a Chinese Long March 2F rocket from the Jiuquan space center in the Gobi Desert. Shenzhou 21 is supposed to replace a three-man crew that has been on the Tiangong station since April, but China’s Manned Space Agency announced Tuesday the outgoing crew’s return craft may have been damaged by space junk, Ars reports.

Few details … Chinese officials said the Shenzhou 20 spacecraft will remain at the station while engineers investigate the potential damage. As of Thursday, China has not set a new landing date or declared whether the spacecraft is safe to return to Earth at all. “The Shenzhou 20 manned spacecraft is suspected of being impacted by small space debris,” Chinese officials wrote on social media. “Impact analysis and risk assessment are underway. To ensure the safety and health of the astronauts and the complete success of the mission, it has been decided that the Shenzhou 20 return mission, originally scheduled for November 5, will be postponed.” In the event Shenzhou 20 is unsafe to return, China could launch a rescue craft—Shenzhou 22—already on standby at the Jiuquan space center.

Falcon 9 rideshare boosts Vast ambitions. A pathfinder mission for Vast’s privately owned space station launched into orbit Sunday and promptly extended its solar panel, kicking off a shakedown cruise to prove the company’s designs can meet the demands of spaceflight, Ars reports. Vast’s Haven Demo mission lifted off just after midnight Sunday from Cape Canaveral Space Force Station, Florida, and rode a SpaceX Falcon 9 rocket into orbit. Haven Demo was one of 18 satellites sharing a ride on SpaceX’s Bandwagon 4 mission, launching alongside a South Korean spy satellite and a small testbed for Starcloud, a startup working with Nvidia to build an orbital data center.

Subscale testing … After release from the Falcon 9, the half-ton Haven Demo spacecraft stabilized itself and extended its power-generating solar array. The satellite captured 4K video of the solar array deployment, and Vast shared the beauty shot on social media. “Haven Demo’s mission success has turned us into a proven spacecraft company,” Vast’s CEO, Max Haot, posted on X. “The next step will be to become an actual commercial space station company next year. Something no one has achieved yet.” Vast plans to launch its first human-rated habitat, named Haven-1, into low-Earth orbit in 2026. Haven Demo lacks crew accommodations but carries several systems that are “architecturally similar” to Haven-1, according to Vast. For example, Haven-1 will have 12 solar arrays, each identical to the single array on Haven Demo. The pathfinder mission uses a subset of Haven-1’s propulsion system, but with identical thrusters, valves, and tanks.

Lights out at Vostochny. One of Russia’s most important projects over the last 15 years has been the construction of the Vostochny spaceport as the country seeks to fly its rockets from native soil and modernize its launch operations. Progress has been slow as corruption clouded Vostochny’s development. Now, the primary contractor building the spaceport, the Kazan Open Stock Company (PSO Kazan), has failed to pay its bills, Ars reports. The story, first reported by the Moscow Times, says that the energy company supplying Vostochny cut off electricity to areas of the spaceport still under construction after PSO Kazan racked up $627,000 in unpaid energy charges. The electricity company did so, it said, “to protect the interests of the region’s energy system.”

A dark reputation … Officials at the government-owned spaceport said PSO Kazan would repay its debt by the end of November, but the local energy company said it intends to file a lawsuit against KSO Kazan to declare the entity bankrupt. The two operational launch pads at Vostochny are apparently not affected by the power cuts. Vostochny has been a fiasco from the start. After construction began in 2011, the project was beset by hunger strikes, claims of unpaid workers, and the theft of $126 million. Additionally, a man driving a diamond-encrusted Mercedes was arrested after embezzling $75,000. Five years ago, there was another purge of top officials after another round of corruption.

Ariane 6 delivers for Europe again. European launch services provider Arianespace has successfully launched the Sentinel 1D Earth observation satellite aboard an Ariane 62 rocket for the European Commission, European Spaceflight reports. Launched in its two-booster configuration, the Ariane 6 rocket lifted off from the Guiana Space Center in South America on Tuesday. Approximately 34 minutes after liftoff, the satellite was deployed from the rocket’s upper stage into a Sun-synchronous orbit at an altitude of 693 kilometers (430 miles). Sentinel 1D is the newest spacecraft to join Europe’s Copernicus program, the world’s most expansive network of environmental monitoring satellites. The new satellite will extend Europe’s record of global around-the-clock radar imaging, revealing information about environmental disasters, polar ice cover, and the use of water resources.

Doubling cadence … This was the fourth flight of Europe’s new Ariane 6 rocket, and its third operational launch. Arianespace plans one more Ariane 62 launch to close out the year with a pair of Galileo navigation satellites. The company aims to double its Ariane 6 launch cadence in 2026, with between six and eight missions planned, according to David Cavaillès, Arianespace’s CEO. The European launch provider will open its 2026 manifest with the first flight of the more powerful four-booster variant of the rocket. If the company does manage eight Ariane 6 flights in 2026, it will already be close to reaching the stated maximum launch cadence of between nine and 10 flights per year.

India sets its own record for payload mass. The Indian Space Research Organization on Sunday successfully launched the Indian Navy’s advanced communication satellite GSAT-7R, or CMS-03, on an LVM3 rocket from the Satish Dhawan Space Center, The Hindu reports. The indigenously designed and developed satellite, weighing approximately 4.4 metric tons (9,700 pounds), is the heaviest satellite ever launched by an Indian rocket and marks a major milestone in strengthening the Navy’s space-based communications and maritime domain awareness.

Going heavy … The launch Sunday was India’s fourth of 2025, a decline from the country’s high-water mark of eight orbital launches in a year in 2023. The failure in May of India’s most-flown rocket, the PSLV, has contributed to this year’s slower launch cadence. India’s larger rockets, the GSLV and LVM3, have been more active while officials grounded the PSLV for an investigation into the launch failure. (submitted by EllPeaTea)

Blue Origin preps for second flight of New Glenn. The road to the second flight of Blue Origin’s heavy-lifting New Glenn rocket got a lot clearer this week. The company confirmed it is targeting Sunday, November 9, for the launch of New Glenn from Cape Canaveral Space Force Station, Florida. This follows a successful test-firing of the rocket’s seven BE-4 main engines last week, Ars reports. Blue Origin, the space company owned by billionaire Jeff Bezos, said the engines operated at full power for 22 seconds, generating nearly 3.9 million pounds of thrust on the launch pad.

Fully integrated … With the launch date approaching, engineers worked this week to attach the rocket’s payload shroud containing two NASA satellites set to embark on a journey to Mars. Now that the rocket is fully integrated, ground crews will roll it back to Blue Origin’s Launch Complex-36 (LC-36) for final countdown preps. The launch window on Sunday opens at 2: 45 pm EST (19: 45 UTC). Blue Origin is counting on recovering the New Glenn first stage on the next flight after missing the landing on the rocket’s inaugural mission in January. Officials plan to reuse this booster on the third New Glenn launch early next year, slated to propel Blue Origin’s first unpiloted Blue Moon lander toward the Moon.

Next three launches

Nov. 8: Falcon 9 | Starlink 10-51 | Kennedy Space Center, Florida | 08: 30 UTC

Nov. 8: Long March 11H| Unknown Payload | Haiyang Spaceport, China Coastal Waters | 21: 00 UTC

Nov. 9: New Glenn | ESCAPADE | Cape Canaveral Space Force Station, Florida | 19: 45 UTC

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Stephen Clark is a space reporter at Ars Technica, covering private space companies and the world’s space agencies. Stephen writes about the nexus of technology, science, policy, and business on and off the planet.

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