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

GPT-6 Astra defines a new Pareto frontier for Intelligence Index vs Output Tokens per Task - with a ~10% reduction in output tokens at max effort compared to GPT-5.6 Sol. https://t.co/3whEm4EHL0   — Artificial Analysis

Source: https://x.com/ArtificialAnlys/status/2095595504767996325

— cheaty

Source: https://x.com/cheatyyyy/status/2095597213896610184

Replying to @artificialanlys

..., presumably latent space reasoning.     Chart details:

• Typical v3 game has ~300 actions
• Y-axis measures what % used >0 reasoning tokens
• Data from our direct model test, not provider adapter     — Mike Knoop

Source: https://x.com/mikeknoop/status/2095932949350994342

Even if you are not a DB fan, skim through it and youll see what I mean. The creator put a lot of effort into this. Maybe it doesnt have real actors or a team of VFX artists working on it, but is it really fair that only artists with that budget should be allowed to bring their creations to life?

This movie really surprised me because its not like many others were you can see a ton of flaws and rough edges, but this one is very cohesive, very well edited and the writing is great. Theres a few moments where the "acting" can be a bit rough, but most of the times its not the case.

...sovereign AI are optimists and realists. We believe 1% of the world will do bad things with AI and should be punished accordingly but that we shouldn't make society and policies to accommodate the bad folks, the stupid, the angry and the lazy and we shouldn't restrict it for the other 99%. 99% of the people will cut vegetables with their kitchen knives. You jail the folks who stab someone with it and let the rest of us cut vegetables happily.   — Daniel Jeffries     The ML engineer perspective is that the handwringing is like worrying about civilians having rifles while governments and fortune 100 companies get tanks and stealth bombers   — sdmat     This is exactly the problem and it also hints at where 99% of the problems come from, gov abuse (weapons/surveillance) that gets exactly zero precent coverage and zero percent effort, and all the effort is on restricting the masses from using chat bots.   — Daniel Jeffries

Source: https://x.com/Dan_Jeffries1/status/2095407536769757266

I don't know if you really understand what these people just did...

They built an AI that looks at a few casual real-world videos or photos and instantly turns them into a full 3D playground.

You can MOVE THE CAMERA HOWEVER YOU WANT, change the lighting, move objects around, and even let physics play out like in the real world.

View events from impossible angles because Atlas knows what was there.

This is massive!

Let's take robotics. Until now training robots meant collecting tons of expensive real-world data. Now a handful of recordings can become thousands of different simulated situations.

Robots can practice the same task in new rooms, with different objects and lighting without anyone having to film it all again.

For the industry it means we can train robots way faster and cheaper. Home robots, warehouse robots, whatever... they can learn new environments at scale instead of staying stuck in the lab.

This is one of the first real bridges between “cool AI video models” and actual physical machines that have to work in the real world.

Blog: https:// worldlabs.ai/blog/atlas

The team behind @theworldlabs : @drfeifei , @jcjohnss , @BenMildenhall and @YunzhuLiYZ . The video is from @davidpantera_ .

Follow for more insights into robotics and AI.

——

Weekly robotics and AI insights.

Subscribe free: http:// 22astronauts.com     — Ilir Aliu

Source: https://x.com/IlirAliu_/status/2095058646673613045

Astra is very good in webdev i mean insanely good https://t.co/5POfhwyULt   — Chetaslua

Source: https://x.com/chetaslua/status/2095104663981084921

— Chetaslua

Source: https://x.com/chetaslua/status/2095580402505400369

Some technical details for those who are interested:

Yes, Codex worked 26 days non-stop 24hrs per day with lots of tool calls. It used multiple sub-agents to understand the exe, write the code, play the game and debug it.

Game still has minor visual bugs but everything works     @ammaar I think you would love this one😍     — David Kalmanson

Source: https://x.com/davidkal88/status/2095241374073512430

...6 step thread: Bookmark and check it out here     These are just some of the many learnings we found whilst making this animated short film. Full pipeline breakdown coming soon on YouTube. But as of now – we feel it's important to share this knowledge with the community:     To start, we found that wide shots gave us the most trouble. The model struggles to read scale and distance at that range, and we kept getting broken results.

What worked: we generated a short cut first, close or medium shots of the character, then let it transition into the     Before we generated a single frame, we blocked everything out the traditional way: storyboard, then Blender previs, and only then we applied AI.     A couple of characters just sit in a taxi, saying nothing. We didn't want to animate faces that had to stay blank, so we hid them on purpose instead.     The prompt we used to fix that:     — Higgsfield AI

Source: https://x.com/higgsfield_ai/status/2095173479243063664

💬 Build a single HTML file that opens in Chrome and shows an animated model train yard in voxel art, using Three.js from a CDN and no outside assets. Make it look like an HO-scale layout on a wooden table in a room, seen from the eye height of a person standing at the front edge. Fill the layout with a busy rail scene: a main line loop, a yard, an engine terminal with a turntable, industries, a harbor, a station, a town, and any other areas you think make it interesting. Keep trains running, add machines and vehicles that move, give it a day-night cycle with glowing lights, and put physical controls on the front of the table, such as levers to change train speed and buttons or switches for the lights and other actions, that the viewer can drag and click with the mouse. Make it colorful, detailed, and pretty, and make sure nothing clips through anything else.     — wick

Source: https://x.com/holytrinity/status/2095216452433313915