Tony retweeted
Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
Tony retweeted
absolutely huge for AI safety
used my video stack to make it legible:
(headphones preferred! nice audio experience)
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/
Tony retweeted
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/
Tony retweeted
$TSLA stock tomorrow
Roadster event livestream xitter.cf/i/broadcasts/1yKAPwNgg…
0:00
Tesla
Roadster
Tony retweeted
Employee: 3k, 3k, 3k, 3k, 3k
Freelancer: 900, 5k, 0, 9k, 1k, 4k
Founder: 0, 0, 0, 0, 0, 0, 600k
Open Source Maintainer: 0, 0, 0, 0, 0 "thanks bro"
Vibe coder: -$20, -$100, -$200, -$200
Tony retweeted
Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active.
- Frontier reasoning efficiency
- Advances the Western open frontier on coding & agentic tasks
- Trained end-to-end from scratch
Full weights release this month.
Learn more about Beam: reflection.ai/beam
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
"One cord of tokens please"
(I really feel like feel like managing a wood furnace, balacing the load/pace vs session limit :) )
Tony retweeted
Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next.
Tech is the everything cycle.
Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product.
Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffusion into companies is one of the main themes of the next 5 years.
We’re entering the agent work period. Only a few million users today, but applicable to billions of internet users with massive surplus created. META/GOOG monetize US users at $200+ per year today. Agent opportunity is much higher.
Mega-trends the next 5 years: Consumer agents, Robotics, Autonomy, AI x bio, Personal health, Diffusion into enterprise, New era of American Dynamism.
Much more in our SoM report here - a16z.news/p/state-of-markets…
@a16z @sarahdingwang @aleximm @santiago__rdz
Watch Starship Flight 14 xitter.cf/i/broadcasts/1qxvvenMP…
Tony retweeted
We just open-sourced a whole game studio.
Meet GameDev OS by Scenario.
github.com/scenario-labs/ski…
That's 64 skills across 9 roles, all inside your coding agent.
📁 GameDev OS
┃
┣ 📁 Concept Artist
┃ ┣ 📁 Pencil Sketch to Final Art
┃ ┗ 📁 Sprite Sheets and Effects
┃
┣ 📁 3D Modeler
┃ ┣ 📁 Image to Mesh
┃ ┗ 📁 Rigs and Animation Retargets
┃
┣ 📁 World Builder
┃ ┣ 📁 PBR Materials and Skies
┃ ┗ 📁 Explorable 3D Scenes
┃
┣ 📁 Style Lead
┃ ┣ 📁 Same Character in Every Shot
┃ ┗ 📁 Pre-Ship Quality Gate
┃
┣ 📁 Audio Lead
┃ ┣ 📁 Soundtracks
┃ ┗ 📁 Weapon and Foley SFX
┃
┣ 📁 Trailer Editor
┃ ┣ 📁 Cinematic Cutdowns
┃ ┗ 📁 Subtitles per Platform
┃
┣ 📁 Store Page Artist
┃ ┣ 📁 Capsule Art in Every Size
┃ ┗ 📁 Ad Creatives From One Image
┃
┣ 📁 Pipeline TD
┃ ┣ 📁 ComfyUI Graph Import
┃ ┗ 📁 Automated Workflows
┃
┗ 📁 Budget Producer
┣ 📁 Model Price Comparisons
┗ 📁 Credit Caps per Seat
Give it one brief and it takes a weapon from a pencil sketch to a cinematic trailer, with every asset kept on style.
Your agent writes the code. Now it can make the whole game look like a game.
Scale more. Control more.






























