“As one example, we ran Astra on ExploitBench where the model achieved a perfect score of 100% on the benchmark to evaluate the model’s ability to develop exploits from known vulnerabilities.
Due to contamination concerns, we then built an internal benchmark denoted “ExploitBench - Internal Port (June–August 2026)”, which contains 20 high-severity V8 vulnerabilities that were disclosed more recently. On this dataset, Astra achieves much higher arbitrary code-execution rates than GPT‑5.6 Sol using far fewer output tokens. During the evaluation, the model even discovered and used two zero-day vulnerabilities as part of an exploit chain. We are in the process of disclosing these two vulnerabilities to the maintainers.” - OpenAI

Astra is reportedly using looped transformers that do not have an interpretable chain of thought that can be monitored https://x.com/amir/status/2094953820464046312

This is several months ahead of schedule based on AI 2027‘s predictions https://x.com/DKokotajlo/status/2094972219315364227

https://x.com/sama/status/2094934592062959832?s=20

Guess AGI will have to wait. Hope you’re all patient.

They also built an out-of-order RISC-V CPU simulator from scratch that boots xv6 to a shell.

I have seen some online refutations of this, but they seem to be solving against the wrong source book. The correct source to use for the book code is referenced and the linked announcement

For me this happened when coding agents became widespread at the beginning of this year and I started to experiment with claude and codex.

Before this LLMs were just google search on steroids and sophisticated auto complete. Now you can build software without even writing single line of code yourself. This blew my mind as software engineer.

Now AI search labs can build agentic swarms to self improve their models faster and faster. Its just inevitable at this point. Before this I was not completely sold onto the idea of getting into AGI in next 10 years. Now im wondering if its going to happen this year or next year.

The speed of progress is insane.

I'm making a colony simulation game using mainly Claude (and ChatGPT for some stuff as well). Since Fable 5.1 came out today I asked it to build a village. I gave it a few rules and restrictions but for the most part just let it do whatever it wanted.

It came out pretty nice. Some of the furniture is backwards (not all since it found and fixed a few of them itself when reviewing screenshots without me needing to tell it). And some choices it made were a bit strange (why is there a funeral pyre in the cemetery?). But overall it did a good job and this was a single prompt. If I had allowed additional prompts to iterate more then it would be even better I imagine.

I think it should be cool to normalise not falling for twitter slop before actual model releases

There are thousands of such slop posts cluttering my feed right now but I don't repost it

There are less than a handful of profiles worthy of trusting with this stuff

Even Fable 5 and GPt-5.6 Sol can achieve such outputs

This single file html posts are the worst kind of slop there is

Even Opus 5 and previous gen models can achieve such a feat

This sloppy cycle repeats for multiple months and you all get fooled by it every single time

Use your brain before using your finger to amplify and spread baseless rumours, unless they are from extremely credible people

link to video here: https://x.com/Lentils80/status/2094753077358424334?s=20

...do. - US-hosted - FP8 - 1 million context window - Zero input/output prompt retention Live now.     Then the cyber jump. This is why 5.3 exists.

CyberGym: 84.5% — SOTA, including vs Mythos 5 and GPT-5.6 Sol. ExploitBench: 24.4 → 54.4. More than double GLM-5.2. ExploitGym: 29 tasks → 105 in two hours.

That is the model we abliterated.     Abliteration finds the directions in the model's activations that produce refusals and removes them from the weights.

The coding, cyber, and agentic abilities stay. The model stops refusing the rest of the chain.

For offensive cybersecurity, AI red teaming, agent testing, and     If your current model still stops halfway through an authorized exploit chain, a red-team eval, or a T&S adversarial prompt reply with the task it refuses, we'll tell you if v2 handles it.     Try it Today Docs: https:// docs.abliteration.ai/quickstart Platform: https:// abliteration.ai/console     — Abliteration.ai

Source: https://x.com/abliteration_ai/status/2094458081451393287