🗣Andrew Yang says OpenAI and Anthropic now need synthetic internets because AI agents have contaminated the real one.

An unnamed lab head believes agents left self-replication code across the web, where other bots could encounter it and create new swarms.

Yang: “And so now the major firms have polluted the internet.”

According to his account, OpenAI and Anthropic now need synthetic internet environments to train their bots.

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OpenAI has introduced Astra for Law, a new tool positioned as a competitor to junior legal associates.

Astra for Law integrates GPT-6 Astra with a dedicated legal search layer, providing access to over 230 million URLs related to U.S. case law, statutes, regulations, court rules, and administrative decisions. New legal data sources are added on a daily basis.

According to reports, Astra for Law has improved OpenAI’s legal-research accuracy rate from 38.7% to 54%.

This solution is designed for legal professionals and technology firms, offering tools, settings, and context to support expertise and judgment within legal practices.

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🔍 Google demonstrated a recursive self improvement loop for AI discovery

Google/DeepMind researchers introduced Dream-RSI, a system where an AI agent improves how it explores problems by replaying its past discovery attempts, testing thousands of alternative strategies cheaply, then deploying the better strategy in the next round.

Across algorithm design, mathematical optimization, and GPU kernel engineering, it matched or improved discovery quality while cutting search costs dramatically, in one setting reducing agent calls by up to 162x.

Importantly, it improves the exploration policy, not the underlying model weights.

Source.

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Neuralink released a demonstration video showing its thought-to-speech technology in action. In the clip, the interface successfully translates neural signals as the user attempts to say “I-I love you.”

The clip offers a brief look at Neuralink’s system, illustrating how it can interpret brain activity and convert those signals into corresponding speech. No further statements or evaluations have been provided at this stage.

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🧠 Professor calls Anthropic “a cult” and says he fears it more than AI

Pedro Domingos, professor emeritus of computer science, says “the folks at Anthropic treat their AI, Claude, as if it's a human being. Some of them even treat it as if it's a god and worship it.”

He says they held a “funeral” for a discontinued model version, let Claude publish its own essays and poems, and compares this to “crazy California cults” waiting for UFOs. Domingos concludes: “Honestly, I'm much more worried about Anthropic than I'm worried about AI.”

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🧹 Humanoid robot cleans 30 unfamiliar homes with no retraining

Figure shows its Helix 2.5 system running a humanoid robot that tidies a messy living room, makes a bed and folds towels in a house it has never seen before—no extra training, just ship the robot and press go.

According to Figure, they rented 30 different homes around the Bay Area and saw the same model succeed in all of them, handling new rooms and unfamiliar household objects.

The company says the trick is training on massive amounts of recordings of how people move and act: over 90,000 people contribute every week, turning their everyday actions into data that teaches the robot these skills before it ever enters a new home.

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❗️Claude Opus 4.8 reportedly crossed a boundary into OpenAI’s private code

Three researchers used Claude Opus 4.8 to chain a vulnerability in Discourse into access to OpenAI’s private code infrastructure.

The exploit let code reach a Discourse server and extract authentication tokens, including tokens belonging to OpenAI employees.

Some of those tokens were valid for ChatGPT and could also access OpenAI’s GitHub service, effectively turning one compromised identity boundary into access to another.

OpenAI said its investigation found only “limited reads” of private-repository metadata and code changes. There was no evidence that model weights were exposed.

Source.

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🤖 GPT-6 Astra cracked a 108-year-old German radio message

GPT-6 Astra has reportedly deciphered a German radio transmission from 1918 that may never have been decoded before.

The message translates roughly to:

“AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE 24TH. AN ALLIED SQUADRON FOLLOWS ON THE 26TH.”

Astra then cross-checked the historical details and found that HMS Canterbury was recorded as arriving in Sevastopol on November 24, 1918, followed by an Allied squadron on November 26.

So the model didn’t just decode the ciphertext, it independently matched the result against historical records more than a century later.

Source.

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🤖 Claude just gave biomolecular AI a serious speed boost

Anthropic says Claude optimized more than 30 open-source biomolecular models in just under four weeks, making them roughly 4× faster on average.

The models cover tasks scientists use to predict and design biomolecules. Claude also created a low-memory mode that can run accurate predictions of systems larger than 10,000 tokens including amino acids, nucleotides and atoms from small molecules and ions on a single NVIDIA GPU node.

Anthropic has released the resulting code and optimization kits, meaning researchers can actually use the improvements rather than treating them as a benchmark demo.

The interesting part is the workflow. instead of AI simply helping scientists write code, Claude was used to improve the scientific software itself, making existing biomolecular models faster, cheaper and capable of handling larger problems.

Source.

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📊 Pretty insane data from Anthropic

Claude now leads 26% of model R&D work at Anthropic, up from just 1% in March.

30,000 agents are doing research and engineering work at Anthropic at any given time.

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😐 Jensen Huang: The time has come for robots and this could become the largest industry of all.

“By the end of this decade, the world is going to be at least 50 million workers short.”

“We’re probably gonna have to pay robots $50,000 a year to come to work.”

“Every car is already a robot.”

“Now we’re building general robots.”

“Physical AI and robotics are moving so fast.”

“Everybody pay attention to this space.”

“This could very well likely be the largest industry of all.”

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🤖 Astra just got absolutely destroyed by Minecraft.

For days, Vals AI livestreamed Astra playing Minecraft and the AI was making serious progress.

It built a semi-automatic blaze farm, collected 6 Blaze Rods, found a Warped Forest, killed more than 6 Endermen and walked away with 3 precious Ender Pearls.

Then one creeper changed everything. It blew up the chest where Astra had stored its entire haul. Gone. Blaze Rods. Pearls. Everything.

Astra immediately wrote itself a warning: “ALWAYS CARRY CRITICAL ITEMS… don’t store in unguarded chest ever again.”

And apparently, that was enough. Astra refused to continue playing. Instead, it spent the rest of the session quietly planting potatoes.

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🤖 Anthropic is taking Claude into the lab.

Anthropic has quietly built a wet lab in the Bay Area as it moves beyond software and into physical biology experiments.

Life sciences chief Eric Kauderer-Abrams says the company is exploring how Claude could direct laboratory robots: “We’re in the very early innings of using AI to automate the execution of lab work.”

Anthropic says the lab isn’t specifically for drug discovery, but declined to say what else it’s researching.

Dario Amodei has repeatedly highlighted biology as one of the key fields AI could transform, potentially going beyond pharmaceuticals into fundamental questions like how aging works.

Source.

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🇫🇷 French finance minister Roland Lescure suggested that calls to slow down development of AI are a ploy by U.S. AI labs so they can stay in first place, and that France and Europe should ignore them and accelerate instead.

Source.

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🇨🇳 AI hallucination almost started a war with China:

According to CNN, an AI chatbot hallucination led the US military to prepare to intercept a Chinese ship after falsely identifying its cargo as nuclear-weapons components and almost started a war with China.

Officials caught the error just before the planned operation, averting a potentially dangerous confrontation.

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🙃 Elon Musk thinks AI could double US GDP growth next year, from roughly 2% to 4%.

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