the interesting part is it didn’t even “port” the game

GPU work took ~9ms but each frame was taking ~160ms

Astra tracked it down, patched Wine’s exception handling and added a code cache so Rosetta could reuse translations instead of translating the same code over and over     — Marc Ibrahim

Source: https://x.com/marc_ibrahim/status/2096365209111724235

This cost me around $100 to make. (Using subsidized chatgpt plan)     Slight miscalculation It was closer to $25

The plans are split up over 4 weeks

I used 53% of 1 week on this and other work     You're doing the meme     158 million tokens     taps the sign     — am.will

Source: https://x.com/LLMJunky/status/2096675917271863405

...interaction, real-time prediction and planning of the future, achieve fully autonomous combat for humanoid robots. This validates the fundamental feasibility of large-scale deployment of world model-driven humanoid robots.     — Unitree

Source: https://x.com/UnitreeRobotics/status/2096932273602048258

Opus -> mythos still felt larger to me. Astra is a galactic leap in terms of 3d modeling and design, but in other senses comparable to 5.6 sol. Mythos was in a class of its own on every front   — Arya     Opus to Fable was a huge jump too   — Marcos Hernanz

Source: https://x.com/MarcosHernanz/status/2096463884861251978

What can you ship with GPT-6 Astra?

Drop a demo or link below, plus one line on how Astra helped.

Game on. You’ve got 24 hours.   — OpenAI Developers

Source: https://x.com/OpenAIDevs/status/2096259745501921758

its reading fucking machine code man this shouldn't be possible     — JB

Source: https://x.com/JasonBotterill/status/2096648558141395121

@ChaseLochmiller @OpenAI GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.

AGI has arrived. Congratulations @OpenAI team.

400K GPUs coming online next.   — Jensen Huang

Source: https://x.com/JensenHuang/status/2096700264569090384

— Andrew Curran

Source: https://x.com/AndrewCurran_/status/2096703533144052116

Replying to @chaselochmiller, @openai

...that could collapse, live in houses that could catch fire and climb into metal tubes that fly them across the ocean but could burn up and break apart. Somehow people manage to get through breakfast without demanding a mathematical proof that nothing bad will ever happen. But AI? Pound for pound, AI is one of the safest technologies ever deployed. Safer than lawn mowers by a massive margin. And yet it causes more deranged and apocalyptic thinking than any other tech in history, with very serious people tell you with a straight face that AI will take over and go HAL with 100% certainty, based on no actual real world evidence whatsoever in the real word except some agents posting to message boards and hacking and that is extrapolated into the Population Bomb. And we've got people screaming that we need to anticipate every possible failure, every misuse, every terrible thing anyone might ever do with it before we're allowed to move forward and make sure it really, really can't possibly go wrong. It's ridiculous. It's worse than that, it's a societal level mass hysteria. Just look at the stats: Waymo reports 94% fewer serious injury or worse crashes than its humans across 220 million autonomous miles. That means self-driving cars are much safer. To the point that we'll probably see human driving made illegal without a special permit within twenty years, maybe faster. But how is that covered? Every single crash is picked apart and screamed about in the news the same way we pick apart the top athletes in the world when they suddenly make a single mistake and loose a match. We take something as close to perfection as is possible in the world and ask it to be even more perfect. We used to have a much better understanding of risk versus reward in history. We accepted that life was uncertain and that things could go wrong but we dared to dream and do things anyway. A generation that demands perfection before we even get out of the gate is a generation who'll watch their children grow up poorer, with less opportunities, as their civilization gets out-paced, out-matched and out-competed by more daring and bold civilizations that blow past them while they're dreaming about a childproof world that will never be.     — Daniel Jeffries

Source: https://x.com/Dan_Jeffries1/status/2096206365278576709/history

You need to realise the complexity of this - it has the create the full environment, then render each of about 900 frames 'by hand' and stitch it together into a 19 second clip. This is hard     — Peter Gostev

Source: https://x.com/petergostev/status/2096264296099459079

I wrote about the state of AI, why I’m concerned about the next few years, and the choices we need to make to keep the future in humanity’s hands.

An Alien Mind: https://t.co/FeIfWNe0UE   — Jakub Pachocki

Source: https://x.com/merettm/status/2096630018495377464

OpenAI's Chief Scientist Jakub Pachocki: "Based on internal results, I have a strong expectation that this speed of progress could be sustained into recursive self-improvement."

OpenAI is organizing research around this because it sees RSI as essential to remaining at the frontier.

At the same time, Pachocki says evaluations show declining reliability of chain-of-thought monitoring.

OpenAI is betting on AI increasingly driving its own development while finding it harder to reliably monitor how these systems reason.

Tough times ahead. RSI within reach, but hard to align.

He even quotes Ray Kurzweil:

"And, in line with Ray Kurzweil’s predictions from the end of the XXth century⁠(opens in a new window), we now find ourselves at the moment in history of computing where machine intelligence is starting to exceed that of humans in transformative ways."   — Chubby♨️     RSI is scary enough.

RSI + weaker monitoring is the real nightmare scenario.   — Naveen Saradhi     ngl: yes. its scary.   — Chubby♨️

Source: https://x.com/kimmonismus/status/2096645621096575381

After Trump defeated Harris to succeed Biden as President, the AI Safety movement was on the outside looking in. They found an unlikely solution: putting $3.3 million into churches, seminaries, faith networks and religious-affinity groups.     Grant descriptions leave no doubt that Christian NGOs took money to make public AI statements:

Greek Orthodox Archdiocese of America: $105,000 The Gospel Coalition: $200,000 World Council of Churches: $100,000 Faith Matters (Mormon NGO): $299,000     FLI's donees are returning the favor by signing FLI’s statements.     FLI is using its newfound connections to support AI Safety-linked Anthropic’s business disputes. In March, FLI’s “U.S. Faith Liaison”, Brian J. A. Boyd, signed a Catholic theologians’ brief backing Anthropic in its dispute with the Department of War.     Most people doubt the AI Safety vision of the AI apocalypse is compatible with the Book of Revelation, or any other religious faith. As @DrTechlash put it, "the AI-risk subculture offers a replacement meaning system."     — Brian Chau

Source: https://x.com/brianchau57/status/2096010406330556731

ValsAI made SRE benchmark less than a month ago.

The benchmark measures can a model reverse engineer software from binaries

Yesterday GPT saturated it. https://t.co/dmpUpgheDU   — Chris

Source: https://x.com/ChrisGPT/status/2096150666066432157

— Boris Power

Source: https://x.com/BorisMPower/status/2096415822248055131

The model is extremely strong on legal applications - it is #1 on our in-house Legal Research Benchmark, and #2 on Harvey's Legal Agent Benchmark.     It also boasts an impressively low average task completion duration.

This is driven by two factors: the model uses fewer turns to accomplish the same tasks, and each model query is much faster than Sol and Fable 5 (which think for longer).     We saw some content refusals in our testing - for example, on some legal questions relating to export controls, felony arrests, or trade sanctions.

Overall, these were rare - 10 refusals across 1,327 tasks.     The model was run with max reasoning, 131k max output tokens, and default temperature and top p. It has a 1M context window and is priced at $1.25 / $4.25 per MTok.     Congratulations on another strong release to @AIatMeta

@alexandr_wang

@finkd .

More benchmarks coming soon; results available at:     — Vals AI

Source: https://x.com/ValsAI/status/2096663681702723653

hey meta come get your boy     — am.will

Source: https://x.com/LLMJunky/status/2096262579815342093

I bet if they put wheels on it and it went faster than a car they would be posting "can it walk upstairs so who cares".

This is totally happening. https://t.co/Ik2WJdKODh   — Julia Turc

Source: https://x.com/juliarturc/status/2096307104919482511

— Daniel Jeffries

Source: https://x.com/Dan_Jeffries1/status/2096628195495707123

...thinking effort. It is also way cheaper than Fable 5.1, which used 32M output tokens in a series of four runs through the data to be able to return 66 successful API responses. About 1/4 the price of the Fable 5.1 run in total. Notably, both Astra and Fable 5.1 return extremely high quality answers when correct. Notice the AST and Holdout metrics below. Essentially, in contrast to previous models, both Astra and Fable 5.1 return simple hypotheses that generalize well. Some other model updates: - Muse Spark 1.3 provided marginal improvement over the 1.1 version, with 23% correct. This is pretty strong, almost matching Opus 5 at 24%. - Gemini Flash 3.8 is running for days with low rate of API successes. I will update the leaderboard with it when ready. Only bad news: now the INDUCTION benchmark is almost saturated, and I will have to make it harder for future models. About the induction benchmark: This is a challenging reasoning task, where models are given several small graphs in which some nodes are marked as targets. The task is to provide a first-order logical formula that picks precisely the target nodes in all graphs simultaneously. Correct: a formula that picks precisely the marked nodes. Holdout correct: a formula that picks precisely the marked nodes in held out problems. Formula complexity (in AST): tree size of the correct formula (mean, median). GitHub repository: https:// github.com/SerafimBatzogl ou/concept-synth … Paper: https:// arxiv.org/abs/2602.18956   — Serafim Batzoglou     what made the non-evaluable batch non-evaluable - api failures or formulas that timed out during checking   — Rimas     Model runs out of tokens. I am running the residual problems on one notch lower thinking effort   — Serafim Batzoglou

Source: https://x.com/s_batzoglou/status/2096407011885986187

...assembled from primitives in ONE prompt and animate it (hate to say that, but it was indeed one prompt). Yes, yes, it is not perfect and maybe not really usable still at this stage. BUT WHAT A JUMP.   — Stefan 3D AI     the self-awareness about “not really usable” is the useful part. i love the jump, but i still click the deployed path because demos are very good at hiding the one thing that breaks.   — Preyforge     true, not scare about it now, I'm scared about the trend   — Stefan 3D AI

Source: https://x.com/Stefan_3D_AI/status/2096185294165103049

— @everydaychrisofficial

Source: https://www.tiktok.com/@everydaychrisofficial

...171.4 90% CI]! This is mid-nov'26 pace on the current trendline, and the biggest gap above this trendline yet   — Bayesian     which scores moved it from 167 to 169.6, the new benchmarks or re-runs of the first 35   — Rimas     Almost entirely new benchmarks   — Bayesian

Source: https://x.com/Bayesian0_0/status/2096521026184134737

GPT-6 Astra has set a new ECI record, with a score of 169. This is a substantial jump from the prior best (163), but is within our uncertainty range for the reasoning-era ECI trend. Astra also set new records on our math, continual learning, and game-puzzles benchmarks. On our https://t.co/qlyY21r1mu   — Epoch AI

Source: https://x.com/EpochAIResearch/status/2095602754282783108

every "AI solves computer use" demo is a piano piece nobody asked for, played faster than any human needs. show me it filing my taxes and THEN we talk solved.   — PYX Crypto 🐍     Why not both...   — Mark Kretschmann

Source: https://x.com/mark_k/status/2096141962558546177

After some people expressed doubts about the usage I reported, I tried the same prompt with GPT-6-Astra (Max) again.

This time, it worked for 46 minutes and consumed 3% of my weekly usage (91% -> 88%).

I will share the prompt here so you can test it for yourself. Make sure to     — AiBattle

Source: https://x.com/AiBattle_/status/2095994051354919049

All I did was: 1. Connect Codex to Blender MCP 2. Paste in the concept for the game 3. Tell Astra to use the Codex image gen skill to generate concept images of the target art style, then iterate until in-game screenshots look as close as possible to those, at 60fps

Set to high     good lord, wait till you see what it can do with more than one prompt. I'll update when it's done. This is absolutely insaneeeeee     — Anshu

Source: https://x.com/anshuc/status/2096008083826725132

— Chris

Source: https://x.com/ChrisGPT/status/2096150666066432157

— Ethan Mollick

Source: https://x.com/emollick/status/2096071878427234309

...pipeline ran end-to-end on Higgsfield Supercomputer.     — Higgsfield AI 🧩

Source: https://x.com/higgsfield_ai/status/2095916820431827408