mit 24 some ai stuff mostly human stuff
Joined April 2026
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supporting gripper made by friends!
Wanted to get into manipulation. Decided to first build a full stack that scales.
Plan: copy @GeneralistAI's gripper. Fun weekend project.
It was not.
So @t_k_233 and I documented every design choice and lesson along the way.
Meet Specialist: fully open-source hardware, data pipeline, training, and deployment code.
specialist-ai.github.io/
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The only RSI that matters is recursive happiness! Seeing someone happy makes me happy and makes them happy and makes me happy and goes on and on
Ningshan Ma retweeted
Meet Pika H3 Flex, debuting today as the #1 open weight model on DesignArena’s t2v board.
It’s built for professional iteration, with exportable audio stems, resolutions up to 4k, and faster-than-realtime generation. It can produce a 15-second clip with soundtrack in as little as 7 seconds.
So, yeah. It’s kind of a flex 💅
Ningshan Ma 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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yay I’m very high entropy and high disorder
Speed of automation is in inverse proportion to the entropy of the subject domain. Math and coding are structured and orderly, which is why AI is able to do them so well. In order of difficulty:
The hard sciences are next. They may be governed by strict physical laws, but are complicated by dependence on noisy measurements and laboratory experimentation.
Financial markets are more difficult still. They are complex adaptive systems subject to human psychology. While (past) data is abundant, the underlying statistics are non-stationary and highly variable.
Clinical diagnostics and decision-making in medicine are far more difficult than most people realize. It's very high-stakes, it requires synthesizing very fragmented signals, and dealing with idiosyncratic human behavior and biology - it's a nightmare of incomplete information.
The law, jurisprudence, and legal interpretation operate on structured text and precedent (most of the time), but rely heavily on ambiguous language, evolving societal norms, persuasive rhetoric, and human judgement. They won't be automatic anytime soon.
Culture, art, and strategic leadership are an odd mix, but I think all of them are quite safe from automation. They are the pinnacle of disorder and human creativity. They rely on tacit knowledge, intuitive perceptions of the world, emotional intelligence, understanding of cultural consensus, and navigating complex moral trade-offs.
So rejoice - we'll have artists, lawyers, doctors, and CEOs for a long time yet!
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we used to gaze at the stars now we gaze at the screen, used to think to ourselves long and long at an unsolved problem now we wait long and long at the swarm of agents. some beauty is lost there to me
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people used to say money can’t solve all your problems, now it seems like it certainly can, whoever has money can just chuck them away at tokens and solve all the problems. Where does it leave the human mind… so capable of creating beauty and art? this is so scary to me
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
my TED talk in Japan is released youtu.be/UucpN9Ar3_k?is=C2eN…
Prepared two hours before with a fever but do lucky to have the support around
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Ningshan Ma retweeted
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
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Had conversation with an uber driver and it was deeply humbling, it really shows a lot of the problems that have been happening that are the dark side of the moon shadowed by growth in AI and tech
Rent in sf is rising and people who retired only had very low compensation, not enough to sustain living so they are forced to seek jobs that are like uber or working at grocery shops
Then uber does not compensate them enough (maybe due to platform or something I’ll have to look into this, why exactly)
Any idea for better platform
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3/n: how has the use of AI negatively affected creative thinking? Before I used to think very hard about a problem by myself but right now just being able to type a few prompts and have a lot of information outputted by an LLM chucked inside my brain somehow limits the original wandering search space of my mind. It’s not “efficient retrieval” it’s somehow limiting the original human thought
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