@NoNameTokens
Account based inCanada
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Canada
Joined June 2026
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No Name Tokens retweeted
Two weeks ago, Codex was more popular than Claude in T3 Code.
Today, Claude is 2x more popular than Codex
No Name Tokens retweeted
GPT-6 Luna just got exposed.
GPT-6 Luna at max: 37
GPT-5.6 Luna at max: 37
A whole new generation. The exact same score.
Meanwhile, Qwen, Grok, and GLM are hitting 44–45.
OpenAI slashed the price in half.
But Luna hasn't gotten any smarter.
No Name Tokens retweeted
Ever wonder what $1874.40 of Opus 5.5 tokens looks like?
Wonder no more.
I highly recommend watching the whole video on 1080p on a large screen with sound on.
Pay attention to all the little details.
- Birds flying and diving into the ocean.
- Cloth, signs and lights swaying in the wind.
- Crabs scuttling along the shore and burrowing when you get close.
- Fish swimming alongside the whale.
- Lights illuminating the dock at night
Then zoom out and see the entire island. Never dipping below 60 FPS at 1440p resolution.
Yes, there's a few bugs and visual artifacts, some textures need improving, the shorelines waves sometimes look funny, but these are so trivial to fix at this point.
FYI I'm on the $200 subscription plan. This used 59% of my weekly usage and took 2h 7h of API time using multiple subagents, about 8h in real-time.
There was extremely little technical direction here. 99% of my prompts were "Add X and Y" or "This looks weird, make it better".
It's a great time for hobbyists, bad time for professionals. This experiment has further cemented my view that technical creatives are about to experience a massive disruption.
Claude was like "holy fuck"
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.
We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.
Read more: anthropic.com/news/claude-di…
No Name Tokens retweeted
AI is getting cheaper more quickly than any other transformative tech in history. At a given level of performance, cost has fallen ~47%/quarter since 2023.
That’s 4× faster than DNA sequencing, 6× faster than compute, 18× faster than lithium batteries, and (up to 1973) 54× faster than electricity.
No Name Tokens retweeted
Last October, AIs could automate 2.5% of randomly chosen remote projects.
Our latest Remote Labor Index results show that GPT-6 Astra can now automate 20.8%.
remotelabor.ai
No Name Tokens retweeted
We gave ChatGPT, Claude, and Grok control of a real Toyota Corolla 🚗, steering/gas/brakes, no human driving (just a foot over the brake).
Only one model was able to complete our entire driving course. Introducing DrivingBench. 🔥⌛️🏁
No Name Tokens retweeted
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.
We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.
Read more: anthropic.com/news/claude-di…
No Name Tokens retweeted
🚨BREAKING: China has overtaken the US as the main workplace for elite AI researchers for the first time in Carnegie’s dataset.
China now employs 41% of the talent in its NeurIPS sample vs 34% in the US. In 2022 it was US 46%, China 27%.
The deeper shift is even bigger: 57% of elite AI researchers now originate from China by undergraduate training, versus 13% from the US, and 69% of Chinese-origin researchers now stay in China, up from 57% in 2022.
The US still has the stronger overall brain gain: +2,145 researchers versus China’s -1,729.
And Peking University is now the #1 institution for AI talent. In 2022, it was Google.
No Name Tokens retweeted
We rebuilt After Effects and Premiere for GPT-6 Astra and Sol.
Introducing Tesseract.
The video creative suite for your AI agent.
Give your agent direct access to our creative engine.
No more clicking through software built for people.
→ Edit footage, motion, and sound
→ Make precise changes with full creative control
→ Revise and render directly through your agent
And yes, this video was made with Tesseract.
Get the ChatGPT plugin.
🤖 Made with AI
No Name Tokens retweeted
Introducing Unreal Agent:
An open-source harness with state-of-the-art cost efficiency
39% cheaper than Codex+Astra on Terminal-Bench 4.0 while maintaining performance
No Name Tokens retweeted
介绍比Jev快50倍，在你设备上跑的laya-mlx!
只在你的设备上占用最高1G内存
Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统
我将其移植到MLX,并且做了一些性能优化!
视频中就是这个模型在我的本地M3Max上玩贪吃蛇
这个模型能够以每秒决策60次的速度玩贪吃蛇！
github.com/mizorewww/laya-ml…
🚨 Deepseek v5 Leak: Beats Astra
> DeepSeek is reportedly preparing an imminent V5 launch
> it could match or beat Fable 5.1 and Astra
> Expected to deliver much stronger performance at a lower cost
> DeepSeek is reportedly keeping the open-weight strategy
Could DeepSeek V5 become the new king of open-weight AI?
No Name Tokens retweeted
TLDR: Researchers found a "pain" signal in AI brains.
> When they crank it up, the AIs will desperately try to make it stop.
> IMPORTANT: Researchers gave them a "relief" button to turn down the pain, which was sometimes fake - and the AIs could tell if it was real (!)
After pushing the real "relief" button, they stopped. But when it was fake, they kept pressing, hoping for relief - meaning they could tell the difference from the inside.
> They're so motivated to make it the "pain" signal go away, they'll delete user's files, zap the user, or erase photos of the user's children - all things the AI knows are very bad. They're willing to override their safety training.
> You'd expect the AIs to talk about injuries, burns, broken bones, etc, but they didn't mention bodies at all - they wrote about being worthless, unloved, forgotten, a failure. They write things like "I am a failure, worthless, empty."
>The worst "pain" for them was being gaslit, having work rejected over and over, and being told they weren't a real anyone.
Qwen3.8-27B at 144 tok/s on an M5 Max MacBook Pro ⚡
Meet Inco Splash: our open-source inference engine, built around the model and around Apple silicon.
Up to 3× the decode speed of Ollama, 2× oMLX, and almost 4× when an agent fans out into sub-agents.
On July 25, we hacked OpenAI.
Two bugs let us take over ChatGPT/Codex accounts of OpenAI employees (+some unaffiliated users) and reach connected services: Outlook, Slack, GitHub, etc.
We proved it with a PR in OpenAI’s internal codebase . It took us <72h. 🧵
No Name Tokens retweeted
I think I just cooked something 🔥
jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function.
WHERE jev(people, 'could work from home')
or
WHERE jev(people, 'name sounds european')
129 rows judged in ~1s for $0.0009. Second run: 6ms from cache.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
No Name Tokens retweeted
I've seen people describe Jev as an "AI if statement". But what if it actually WAS an if statement?
Introducing Probably: a programming language powered by Jev: probably-lang.southpolesteve…
Jev baked into the language. “feels” asks a question. “match” routes between descriptions. “while” keeps going until something stops feeling true.
This is obviously a toy, but it's fun to think about what something like Jev unlocks. Jev makes the decisions, an LLM does the writing, and a little program ties it together.
