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“Our experiments suggest that small AI models may be months away from being capable enough to self-replicate on commercial IoT devices, like smart ovens and off-brand Android TV boxes. A replicator like this would be challenging to shut down, since there’s no centralized point to shut off - though it may be slow (with a doubling time of days). Unlike non-AI malware, it could also figure out unfamiliar devices on its own. In our evals, a 9B model got inference running on 8 of the 9 hardware types we tested.
Models of 30B parameters and under can already complete many of the individual steps for replication today, though they make mistakes when composing them end to end. In our simplified evals, GLM-5.2 and stronger models are capable of end to end replication. If small models improve at their historical rate, they’ll match this capability level by the end of this year. Small weight-based replicators may be possible soon after.” -@bucketofkets @willzhou97
anthropic.com/research/self-…
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i'm sorry but if openai hears 'anthropic solved navier stokes' and races to throw a bunch of agents on it, without any information on your approach, and the agents discover the same thing (and more), still offer you dual credit in goodwill, that is totally above board
this all comes down to whether or not openai heard of tristan buckmaster's approach beforehand and seeded the model with that context. openai seems to completely deny this
there is no chance that any researcher spied on buckmaster's chats (you have to jump through multiple security and legal hoops to even get the initial credentials to access any user data, no way) and i'd be very surprised if any of buckmaster's chats were trained on at all. it's just not how modern LLM training is done
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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hey Astra, how fast are you really at using a computer?
Readers added context they thought people might want to know
The video shows Astra executing a pre-planned batched sequence of mouse clicks, keyboard presses and timed waits, not live real-time high-speed control. The poster clarified hybrid inputs and advance planning in replies.
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openai.com/index/gpt-6-as…
openai.com/index/computer…
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Tibo@thsottiauxSep 3
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United StatesConnected via WebAccount-level information, not a live location or per-post device.
Something was felt across the internet today
As we prepare to release Astra, we’re focused on making increasingly capable AI safe and broadly accessible.
Astra represents a significant advance in cybersecurity capability, reaching the Critical threshold under our Preparedness Framework.
We're previewing how we evaluated the model, how its safeguards have advanced alongside its capabilities, and what we'll continue to learn and improve.
openai.com/index/path-to-ast…
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Tibo@thsottiauxJul 29
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United StatesConnected via WebAccount-level information, not a live location or per-post device.
Turns out GPT-5.6 Sol is actually SoTA on ARC-AGI-3.
Just took two setting changes. You just have to allow it to reason and work over multiple context windows with the help of our canonical compaction implementation.
openai.com/index/how-two-set…
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Tibo@thsottiauxJul 9
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United StatesConnected via WebAccount-level information, not a live location or per-post device.
Replying to @ClaudeDevs
I smell fear
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Tibo@thsottiauxJul 5
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United StatesConnected via WebAccount-level information, not a live location or per-post device.
iykyk
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Tibo@thsottiauxJun 28
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United StatesConnected via WebAccount-level information, not a live location or per-post device.
As we are still investigating, I have reset everyone's Codex usage limits. This is a hard reset given some users had stacked up to three banked resets already that they can apply on their own schedule.
Funnily enough, this week at OpenAI is called the RESET week, which is meant for folks to relax a bit. However it will be a different kind of RESET week. Enjoy.
Tibo@thsottiauxJun 28🇺🇸
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Codex team is in a warroom on a Sunday combing through logs and checking whether there is anything that could lead to increased usage drains for some users. Taking it very seriously and won't rest until we get to the bottom of it.
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I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.
It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to work with all of you.
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946.
For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids.
An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better.
This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.

















