
Machine learning engineer, ex-competitive programmer, passionate about STEM, aspiring rationalist, philosopher (lover of wisdom), building @solidten_ai
Thailand
Joined July 2009
- Tweets16.9K
- Following569
- Followers465
- Likes65.6K
Chanchana 🐳 retweeted
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Chanchana 🐳 retweeted
Unitree Introducing: H2-X Kung Fu Legend Guardian🤖
Powerful performance to serve and guard you, with a maximum endurance of approximately 8 hours.
Please use the robot safely and in a friendly manner.
Chanchana 🐳 retweeted
EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github: github.com/eagle-hq/EAGLE-4
Chanchana 🐳 retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
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Chanchana 🐳 retweeted
We’re betting our $5.5M seed round that the next leap in AI coding won’t come from OpenAI or Anthropic.
It’ll come from a new feedback loop that learns from you.
Introducing Beacon: open-source, self-improving memory for coding agents.
Your sessions capture how you debug and solve problems. Today, that context gets lost and you have to re-explain things every time you switch tools.
Beacon continuously distills your sessions into reusable skills across Claude Code, Cursor, Codex, and 20+ harnesses, so your next agent can learn from the last.
Beacon is free and OSS 🌟 github.com/Asymptote-Labs/ag…
Why should the frontier labs be the only ones winning with your sessions?
You already did the work. Now let your coding agents learn from you.
Today we are releasing JST-2, the world's first full-stack physics-native world foundation model.
Many world models learn in pixel/video space. We went back to first principles and built the entire model stack in 3D.
Generate a 3D scene in seconds and expand it in real time. Create characters with motion built in, all through one general architecture.
Chanchana 🐳 retweeted
Mercury 3 is live: the most capable diffusion LLM released to date.
It outperforms GPT-6 Luna and Claude Haiku 5.5 across a range of benchmarks while running at over 1,000 tokens per second.
More than 40x the size of Mercury 1, 3x more intelligent across standard benchmarks, and just as fast, with a 1M-token context window.
Available today on the Inception API, @baseten, and @OpenRouter .
Chanchana 🐳 retweeted
Introducing SKY-001, the first Engineering World Model.
On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested:
-> 51-125x faster
- > 150-210x cheaper
-> Higher IOU than all frontier models
SKY-001 lets you dream a physical object before you build it.
18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
Chanchana 🐳 retweeted
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
Exciting news: DeepSeek-V4.1-Flash-20261017 (Max) by @deepseek_ai is now the #1 open model in Code Arena: WebDev, surpassing Kimi K3 (Max) at 10x lower cost!
Highlights:
- #1 open model, ahead of Kimi K3 (Max)
- #12 overall with 1670 pts, ahead of Claude Opus 5 (High) and within ~10 pts of GPT-6 Sol (Max)
- Shifts the Pareto frontier at $0.3/$1.2 per million input/output tokens
- +52 pts vs. the previous DeepSeek-V4.1-Flash-20260910
Congrats to the @deepseek_ai team on another strong contribution to the open source ecosystem!
🤖 Made with AI
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
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Chanchana 🐳 retweeted
Lina, you don't know the honest truth.
In the military, you got your POGs... Person Other than a Grunt. Guys who don't shoot anything. You need them, because you need all sorts of specialties, but you can't trust their big-picture judgement, because the overall mission of the military is shootin' people, and they don't do that.
In civilization, we have POMs.
Person Other than a Maker. Dudes what don't build things. You might need them. But you shouldn't take them too seriously, or listen to them too much, because on some fundamental level, they are never going to get it. They are never going to understand. The fundamental task of civilization is making things, and POMs don't do that.
"This is just a mash-up of existing technology" is the most POM-like typing you could ever hope to see. It's a tell that someone has never done a significant engineering project in a technical role.
Experienced engineers not only understand differently, we eat, sleep and breathe the basic reality that 99% of engineering challenges are "get mechanism to work with other mechanism". Without breaking, shaking itself apart or blowing up.
Every basic scientific principle behind the internal combustion automobile was understood by the ancient Greeks and Romans.
And yet they were not only unable to harness those principles to make a primitive steam-powered automobile, they were unable to conceive of the very idea, because their ability to implement and integrate wasn't advanced enough.
If you look at everything that Elon Musk has ever done, every company he has ever built, every technology he has ever brought to market, none of it was a purely new invention.
It was ALL taking stuff that already kinda worked, and making it do new things. And not just do them, but do them so well that they actually became practical.
SpaceX didn't invent the rocket. They made it reusable.
Tesla didn't invent the electric motor or the battery. They made them practical for ground transportation.
Neurallink didn't invent electrical nerve interfaces. They made them control a computer UI.
This shit is incredibly hard. If you try to use the known principle of a cold-gas thruster to make a car fly, you're going to crash and blow up a lot. You're going to have to make mistakes, and fix them, one by one, until you run out of mistakes and the thing flies.
Real engineers, real makers, know that this is what the word engineering means. POMs don't get it. Lina doesn't understand what she saw.
She thinks she saw a publicity stunt to impress yokels.
No. That was a publicity stunt to impress engineers.
It wasn't a demonstration of a flying car at all. It was a demonstration of the engineering capabilities of team.
It was a flex.
"Look," they said, "we can reify the Gernsback continuum. Give us your silliest, low-effort science fiction meme tech, and give us enough time, and we'll make it real."
The purpose of making a flying car isn't to let you do a jetpack leap over traffic. It's to learn all the little implementation details and balancing tradeoffs and gotchas that you have to master to make a car fly.
It's not the big scientific discoveries that build civilization. By themselves, they are nothing but curiosities.
What builds civilization is all the little discoveries that you make when you try to get the big ones to stop crashing and blowing up.
When someone does that on a unprecedented level, you either help them, or you stay out of the way and keep your ignorant POM opinions to yourself.
I'm not an Elon hater.
I'm just telling you the Honest Truth:
This is a marketing stunt.
The technology is quite old.
Just nobody ever thought of bolting it on a car.
Because it's pointless.
Porsche or Ferrari could also build something like this if they wanted, but they don't, because it's not worth it for them.
It's worth it for Elon though, because his entire brand is all about having the halo of futurism.
His marketing scales especially well with tech gimmicks like this, which is why he is financially incentivised to do them, while others aren't.
Again, I'm not hating, but actually educating yall.
This is not engineering genius.
It's marketing genius.
Chanchana 🐳 retweeted
If you're like me and need to understand the skills and plugins you feed your agent, then you'll appreciate this deep dive of @poteto's pstack I had Opus 5.5 create.
I was hesitant at first, but I found that it's a masterclass in agentic engineering.
claude.ai/artifact/JNBnuspjG…
Chanchana 🐳 retweeted
String theory is what happens when an intelligent system is starved of sensory input and starts hallucinating. Intelligence needs grounding.
For this reason, intelligence is practically never the bottleneck to solving impactful problems. The bottleneck is iterated contact with reality.
Chanchana 🐳 retweeted
We've been working hard on making the Claude Code desktop app great for running lots of sessions side by side.
It's now much quicker to start sessions, easier to split work across a few, and you can always see what each of them is doing. Here’s what's new:


























