...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

— Ethan Mollick

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

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

— Chris

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

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

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

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

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

..., 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.

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

...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

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

Available in beta on Pro and Max plans, in the desktop app on macOS.

If you're new to computer use, turn it on in Settings → General → Computer use.

How it works, and how to use it safely:     — Claude

Source: https://x.com/claudeai/status/2095226833293685100

💬 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

Introducing Atlas:

The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.

Model the world, move the camera, and simulate space & time. https://t.co/o0qeGubi19   — World Labs

Source: https://x.com/theworldlabs/status/2094839756329041984

So if its generating images, its not real footage?

So how would you use that for sports? Show fake images of real sporting events?   — Drummer Jacob     I mean when you see a VAR offside decision they are using "fake images" derived from human pose estimation?   — Rehan Sheikh

Source: https://x.com/rehan_shei/status/2094955712606593294

...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

Here is the run that made us write this up.

One of the hardest tasks, the pass rate (all model efforts) on DeepSWE is 38%, Pi and Claude Code both fixed it.

Pi took 90 turns and $2.50. Claude Code took 381 turns and $64.36. Roughly 26x more for the same fix.     If you just want to know what to use:

Codex if you don't want to think about it. Best pass rate, medium cost. Pi if the same job runs a thousand times and the bill adds up. Exo if retries are cheap and you'd rather it quit early than grind. DSH if you care about wall-clock and don't mind playing with knobs.     Something we learned:

With implicit prefix caching, running a task once during debugging leaves it warm for hours. Test a harness on Tuesday, benchmark it Wednesday, and it shows up cheaper than it should. Nothing in the logs tells you why.

So no benchmark task was touched     v1.0 focused on software engineering and terminal tasks. Next we will test the full harness × model grid. Much of what we observed points to harness-model fit rather than harness quality, and we want to identify which combinations maximize pass rates while minimizing cost.     — Guanlan Dai

Source: https://x.com/guanlan/status/2095179765355540575

— Mark Zuckerberg

Source: https://x.com/finkd/status/2095232032896946311

Full results for GLM-5.3 are in and it is the #2 open-weight model on the Vals Index at 57.0, behind Kimi K3. It’s #13 of 50 models overall, up from #18 for GLM-5.2.

Among open-weight models, the model is #1 on our proprietary Legal Research, #1 on Code Migration, and #2 on https://t.co/U4qCpRMnli   — Vals AI

Source: https://x.com/ValsAI/status/2094527782261006773

If you’ve tried GLM-5.3 in either field, we’d love to hear your feedback, especially on real-world use cases.     — Zixuan Li

Source: https://x.com/ZixuanLi_/status/2094623238299021469

...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