🤖 GPT-6.1 Terra is OpenAI's new mid-tier workhorse, and it draws a solid pelican
OpenAI's new model is aimed at forms, proposals and video editing. Simon Willison ran it through his pelican test, and the "max" setting cost 11.3 cents and took 4 minutes 11 seconds. Pricing is $1/M input and $5/M output, about half of GPT-5.6 Terra and GPT-6.1 Sol and roughly 10x GPT-6 Luna.
OpenAI's new model is aimed at forms, proposals and video editing. Simon Willison ran it through his pelican test, and the "max" setting cost 11.3 cents and took 4 minutes 11 seconds. Pricing is $1/M input and $5/M output, about half of GPT-5.6 Terra and GPT-6.1 Sol and roughly 10x GPT-6 Luna.
Simon Willison’s Weblog
GPT-6.1 Terra
It's always interesting to note which aspects of a new model are emphasized in the release announcement. In the case of GPT-6.1 Terra, OpenAI went with visual reasoning and computer …
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🚨 Anthropic asks Australia to let AI train on local content unless owners opt out
In a submission to a parliamentary inquiry, Anthropic proposes that rights holders block crawlers via robots.txt. The ABC says that treatment will "accelerate the cannibalisation" of Australian news.
SBS says robots.txt signals are routinely ignored or bypassed. Canberra already ruled out a text-and-data-mining exception, so this is the workaround.
In a submission to a parliamentary inquiry, Anthropic proposes that rights holders block crawlers via robots.txt. The ABC says that treatment will "accelerate the cannibalisation" of Australian news.
SBS says robots.txt signals are routinely ignored or bypassed. Canberra already ruled out a text-and-data-mining exception, so this is the workaround.
the Guardian
Anthropic pushes for opt-out model for Australian content as ABC warns of ‘cannibalisation’ of news
Maker of Claude claims AI could transform economy but ABC and SBS say the technology should be subject to media regulations
🤖 DeepSeek open-sources an always-on coding agent that lives in one GitHub repo
DeepSeek released dsh-superagent, a research prototype that listens to GitHub and Feishu, opens a work item per request, and answers with pull requests or messages when its rules allow. It's built to need minimal human attention, and the repo ships setup instructions plus docs on its architecture.
DeepSeek released dsh-superagent, a research prototype that listens to GitHub and Feishu, opens a work item per request, and answers with pull requests or messages when its rules allow. It's built to need minimal human attention, and the repo ships setup instructions plus docs on its architecture.
GitHub
GitHub - deepseek-ai/dsh-superagent-prototype: Towards a More Autonomous Agent System
Towards a More Autonomous Agent System. Contribute to deepseek-ai/dsh-superagent-prototype development by creating an account on GitHub.
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🤖 Wikimedia tells a court that both sides of an AI copyright fight are wrong
In a roughly 5,800-word amicus brief, the foundation calls both parties' positions "overbroad" and pushes a middle path:
• It already has paid training deals with Amazon, Meta, Mistral, Perplexity and Microsoft
• A blanket win for AI firms could gut Wikipedia's license-based model
• Its general counsel warns that sloppy fair use rulings threaten free knowledge
In a roughly 5,800-word amicus brief, the foundation calls both parties' positions "overbroad" and pushes a middle path:
• It already has paid training deals with Amazon, Meta, Mistral, Perplexity and Microsoft
• A blanket win for AI firms could gut Wikipedia's license-based model
• Its general counsel warns that sloppy fair use rulings threaten free knowledge
Gizmodo
Wikimedia Foundation Tries to Save Itself From Oblivion by Brokering AI Copyright Deal
Call it the Great Copyright Compromise.
🚨 OpenAI merges ChatGPT and Codex into one shared usage allowance
Per OpenAI's help page, a long Codex session can now eat the quota you'd use for plain chat. Same goes the other way, including deep research and image generation.
Separate limits were a big reason devs picked ChatGPT over Claude Code. Claude already works this way.
Per OpenAI's help page, a long Codex session can now eat the quota you'd use for plain chat. Same goes the other way, including deep research and image generation.
Separate limits were a big reason devs picked ChatGPT over Claude Code. Claude already works this way.
OpenAI Help Center
Understanding ChatGPT and Codex usage limits | OpenAI Help Center
🚨 DeepSeek ships a coding agent built to take on Claude Code
Bloomberg reports the launch targets Anthropic's flagship dev tool directly. It's DeepSeek's first real move from chat models into agent products.
No word yet on pricing, open weights, or how it does on real repos.
Anthropic's best-selling product just got a Chinese challenger.
Bloomberg reports the launch targets Anthropic's flagship dev tool directly. It's DeepSeek's first real move from chat models into agent products.
No word yet on pricing, open weights, or how it does on real repos.
Anthropic's best-selling product just got a Chinese challenger.
Bloomberg.com
DeepSeek Drops Enhanced Coding Agent With Aim to Rival Anthropic
DeepSeek has released a prototype of a more autonomous coding agent as it seeks to challenge Anthropic PBC’s popular Claude Code.
🚨 Sam Altman says your PC's RAM is better off in a data center
On the Cheeky Pint podcast, he called it "quite terrible" for the world's limited DRAM to sit in home computers. His argument:
• Consumer RAM is used about 5% of the time
• Data centers run theirs 24/7
• Local inference is the casualty
The CEO of the company buying up the DRAM says you shouldn't have any.
On the Cheeky Pint podcast, he called it "quite terrible" for the world's limited DRAM to sit in home computers. His argument:
• Consumer RAM is used about 5% of the time
• Data centers run theirs 24/7
• Local inference is the casualty
The CEO of the company buying up the DRAM says you shouldn't have any.
Tom's Hardware
OpenAI CEO says it's 'quite terrible' for your PC to have RAM — Sam Altman says data centers offer better utilization
With data centers full of RAM, your PC is apparently the problem.
🚨 Anthropic may have been valued at $1.2T back in August
The FT reports the number, but it's a question mark, not a confirmed round. A figure like that would put Anthropic in OpenAI's weight class.
Private marks for frontier labs come from funding rounds and secondary sales, so they only prove what a few investors will pay. A Nasdaq listing would test that with the public.
The FT reports the number, but it's a question mark, not a confirmed round. A figure like that would put Anthropic in OpenAI's weight class.
Private marks for frontier labs come from funding rounds and secondary sales, so they only prove what a few investors will pay. A Nasdaq listing would test that with the public.
Ft
Did Anthropic value itself at $1.2tn in August?
Not quite Navier-Stokes
🚨 Anthropic drops Claude's five-hour session cap, but only for the $200 tier
Verified Ultra users no longer hit the rolling window mid-refactor and wait for a reset. The weekly limit stays, and chat and Claude Code draw from the same pool, so heavy users who burn out before Friday get no extra usage.
The change fixes interruptions.
Verified Ultra users no longer hit the rolling window mid-refactor and wait for a reset. The weekly limit stays, and chat and Claude Code draw from the same pool, so heavy users who burn out before Friday get no extra usage.
The change fixes interruptions.
The New Stack
Anthropic just removed one of Claude’s biggest usage limits — but not for everyone
Anthropic drops Claude’s five-hour session cap for verified Ultra users, so Claude Code sessions can run longer — but the weekly limit stays in place.
🧠 A new paper claims to prove the Platonic Representation Hypothesis using JEPAs
The paper argues that models trained on different data end up with the same internal map of the world, and that JEPA-style latent prediction, the approach Yann LeCun backs, gets there with a formal guarantee and better training efficiency. "Proves" is doing heavy lifting, since it's a theorem under explicit assumptions and not a claim about every model or about human minds.
The paper argues that models trained on different data end up with the same internal map of the world, and that JEPA-style latent prediction, the approach Yann LeCun backs, gets there with a formal guarantee and better training efficiency. "Proves" is doing heavy lifting, since it's a theorem under explicit assumptions and not a claim about every model or about human minds.
arXiv.org
Proving and Improving the Platonic Representation Hypothesis with JEPAs
Whether models trained on different modalities converge to the same representation of the world is central to AI. The Platonic Representation Hypothesis (PRH) conjectures that they do as they...
🚨 Eclypsium says you can poison an AI model without touching its weights
The security firm's report targets the firmware, management controllers and orchestration agents under the model. In one demo, the tampering changed the runtime state after the usual security checks ran, so the model looked verified when it wasn't.
The security firm's report targets the firmware, management controllers and orchestration agents under the model. In one demo, the tampering changed the runtime state after the usual security checks ran, so the model looked verified when it wasn't.
Cybersecurity Dive
Hackers could poison AI models by tampering with core infrastructure
AI systems rely on a complex web of hardware. Compromising any one component could let adversaries change model weights.
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🤖 Heretic 2.0 turns the refusal-removal tool into a general model editor
The project now says it can suppress slop, reduce sycophancy and shift emotional alignment, all without any training. Stripping censorship stays the default job.
Its numbers: 37k GitHub stars, 8,500+ models on Hugging Face and 88 million total downloads.
The project now says it can suppress slop, reduce sycophancy and shift emotional alignment, all without any training. Stripping censorship stays the default job.
Its numbers: 37k GitHub stars, 8,500+ models on Hugging Face and 88 million total downloads.
GitHub
p-e-w - Overview
p-e-w has 37 repositories available. Follow their code on GitHub.
🧠 Terence Tao says mathematics has changed, and the field should act like it
In a new essay, he argues that math's norms need to adapt to AI tools. Solving a big open problem wouldn't end a field, any more than the periodic table ended chemistry.
The sticking point is the 700+ OpenAI-generated solutions. Mathematicians still don't count them as solved until humans sign off.
In a new essay, he argues that math's norms need to adapt to AI tools. Solving a big open problem wouldn't end a field, any more than the periodic table ended chemistry.
The sticking point is the 700+ OpenAI-generated solutions. Mathematicians still don't count them as solved until humans sign off.
What's new
Mathematics has changed. Let’s act like it
[This is a guest post by Frank Calegari. This blog post was initially written in a different file format and converted using AI. — T.] Why we should not be sad The release by OpenAI on Octobe…
🚨 China just put export controls on frontier AI, 23 technologies in the AI list alone
MOFCOM's Announcement No. 48 proposes 40 catalogue additions, covering AI, biomedicine and solar. Temporary pre-export registration started the day it was published, and comments are open until November 15.
API and app access to a restricted model is outside the controls. Deploying that model on infrastructure abroad is inside them.
MOFCOM's Announcement No. 48 proposes 40 catalogue additions, covering AI, biomedicine and solar. Temporary pre-export registration started the day it was published, and comments are open until November 15.
API and app access to a restricted model is outside the controls. Deploying that model on infrastructure abroad is inside them.
Lab Space
China’s First Frontier AI Export Controls: MOFCOM Announcement No. 48
China’s First Frontier AI Export Controls: MOFCOM Announcement No. 48 Key Takeaways On October 16, 2026, China’s Ministry of Commerce (MOFCOM) and Ministry of Science and Technology (MO…
🤖 Anthropic's chart says AI now leads 26% of its own R&D tasks, up from 1% in March
That's the chart insiders call the most important one in AI. It's built on Anthropic's analysis of thousands of internal tasks, and it's the recursive self-improvement trend in one line.
The data is Anthropic's own, measured by Anthropic. And "leads" isn't "finishes."
That's the chart insiders call the most important one in AI. It's built on Anthropic's analysis of thousands of internal tasks, and it's the recursive self-improvement trend in one line.
The data is Anthropic's own, measured by Anthropic. And "leads" isn't "finishes."
The Wall Street Journal
The Smartest People in AI Believe This Is the World’s Most Important Chart
AI is starting to build better AI. This self-improvement is speeding up research and development—and freaking everyone out.
🚨 Anthropic's Q3 books show a $104B net loss, and most of it is paper
The amended S-1 adds third-quarter financials. Most of the loss comes from changes in the fair value of convertible notes and derivative liabilities, not from operations.
It's an accounting mark, but it's still the first number every Nasdaq investor will read.
The amended S-1 adds third-quarter financials. Most of the loss comes from changes in the fair value of convertible notes and derivative liabilities, not from operations.
It's an accounting mark, but it's still the first number every Nasdaq investor will read.
CNBC
Anthropic reports $17 billion in Q3 revenue, purchase commitments of $895.4 billion in revised S-1
Anthropic unveiled its S-1 prospectus last week, but the initial filing only included the company's financials through the first half of the year.
🚨 Anthropic says an unreleased Claude chained bugs into five working exploits
Anthropic's research covers browsers and operating systems, not just bug-spotting:
• In Chrome, it linked four flaws, from V8 memory corruption to a sandbox escape
• The demo webpage popped macOS Calculator with no further interaction
• The broader Chrome work produced 62 CVEs, 13 of them sandbox escapes
• Google and Apple confirmed Claude helped find some bugs, but how much was autonomous is unclear
Anthropic's research covers browsers and operating systems, not just bug-spotting:
• In Chrome, it linked four flaws, from V8 memory corruption to a sandbox escape
• The demo webpage popped macOS Calculator with no further interaction
• The broader Chrome work produced 62 CVEs, 13 of them sandbox escapes
• Google and Apple confirmed Claude helped find some bugs, but how much was autonomous is unclear
Anthropic
Discovering and exploiting vulnerabilities in critical, real-world software with Claude
Over the past few months, we’ve used an unreleased, internal research model to find critical vulnerabilities in some of the world’s most widely used software, such as browsers and operating systems. In this post, we share details of five attack chains, which…
🤖 Marvell is paying $115B for a laser company
Marvell is buying optical-components maker Lumentum to go after Broadcom in AI data-center hardware.
• Marvell's own market value is above $170B
• Nvidia put $2B into each company earlier this year
• In August, Marvell signed a Google chip supply deal worth up to $120B through fiscal 2033
Marvell is buying optical-components maker Lumentum to go after Broadcom in AI data-center hardware.
• Marvell's own market value is above $170B
• Nvidia put $2B into each company earlier this year
• In August, Marvell signed a Google chip supply deal worth up to $120B through fiscal 2033
🚨 Anthropic's biggest constraint is chips.
The New York Times reports that Anthropic is scrambling for computing power, with the IPO closing in.
Claude can only grow as fast as the GPUs and data center space Anthropic can lock down. And the clouds it leans on are also building rival models.
The New York Times reports that Anthropic is scrambling for computing power, with the IPO closing in.
Claude can only grow as fast as the GPUs and data center space Anthropic can lock down. And the clouds it leans on are also building rival models.
Nytimes
Inside Anthropic’s Hunt for A.I. Computing Power
The company went on a deal spree with tech giants, former crypto miners and others to obtain one of the artificial intelligence boom’s scarcest resources.
🚨 Anthropic's S-1 says it may soon hit its own definition of recursive self-improvement
The amended filing adds new risk-factor language. Anthropic says it has already used AI to build models whose capability jumps it didn't recognize at the time. It also says no model has crossed the line yet, and humans stay in the R&D loop.
An S-1 is a disclosure and a sales pitch at once. "Our AI might build itself" is a strange thing to put in either.
The amended filing adds new risk-factor language. Anthropic says it has already used AI to build models whose capability jumps it didn't recognize at the time. It also says no model has crossed the line yet, and humans stay in the R&D loop.
An S-1 is a disclosure and a sales pitch at once. "Our AI might build itself" is a strange thing to put in either.
TechCrunch
Anthropic warns that it's very close to RSI capability, aka self-building AI | TechCrunch
RSI is the point at which AI grows so good at training itself that it spawns a dramatic acceleration of AI capabilities. To the AI doomers, RSI represents the cataclysm from which there is no return.