Vitae

House of Ontological Wagers

[Vitae @VUvitae42]

@pmddomingos Noooooo

[Crémieux @cremieuxrecueil]

Now let's see Google's model.

[kache @yacineMTB]

you know what i really actually want to do? if i was being honest with myself. build a real actual bird

[will depue @willdepue]

bro it isn’t generally intelligent bro its only read every book and paper ever written and just making connections between them bro. its only thinking for twenty hours bro it’s just brute force thinking bro. its only solving erdos problems bro it could never be an accountant bro

[kache @yacineMTB]

he's right. it's brutal to watch more spacex value get destroyed

[Ryan Moulton @moultano]

If "Moon Colonization" causes your "Colonization is bad" neuron to fire you are more of a stochastic parrot than GPT2.

[0xSero @0xSero]

I'm not the only one doing this.

- karpathy

best thought leader, best person to learn from imo. Nanochat is the best way to get into training LLMs its the simplest and most digestible source for building your first AI model

- steipete

This guys GitHub is a national treasure, his writing is also very strong. Peekaboo, https://t.co/u0cve9Ukze, openclaw, oracle, just talk to it, etc.. all unique and very useful

- badlogicgames

Mario’s Pi is a staple AI engine and possibly the best, simplest, open source agentic loop to learn from. Despite what people say about his methods, I think he’s going to set some new standards for Open source contribution. Big respect.

- TheAhmadOsman

This man is the GPU king, giveaways and lots of dense educational content around self hosting and home inference. He’s also tight with pretty much all the open weight labs and has them on for interviews regularly

- sudoingX

This is an up and comer who will change the game, he's pushing the limits of what a single gpu can do

- Ex0byt

I can confidently say this man will be fundamental in making local inference on massive models possible.

- alexinexxx

I genuinely feel motivated by her drive. She’s a real hard worker learning about GPU kernel programming. Also good aesthetics

- gospaceport

I would not have gotten into building my own hardware without this man’s hard work. He’s taught me so much about hardware and the economics of this. He also has the most impressive homelabs I’ve ever seen.

- alexocheema

The founder of Exolabs, pioneering Apple hardware inference, he’s also very engaged in the community and a good guy all around. If you are interested in Mac minis and Mac Studios this is your guys.

- nummanali

This guy is so prolific, he’s made tons of CLI tools for managing llm subscription budgets, using Claude code with alternative models etc..

- thdxr

The entire Opencode team is wonderful but Dax specifically is a good writer. More anti-doomer content to sooth your anxieties.

- juliarturc

If you are interested in the science, Julias channel is where it’s at. Almost everything I’ve learned about LLM compression has been from her.

- Teknium

The Nous research & Prime intellect teams are both some of the most hard-working and principled people around. Tough fight in an industry so aggressive.

- victormustar

Head of Product for Huggingface, enabling us all to publish our work.

- louszbd

Head of community at ZAI some of the top LLMs available right now that are open weights. They supercharged the movement

- SkylerMiao7

Making frontier intelligence fit on 10k USD of hardware. Via MiniMax

- crystalsssup

Building the best Open Weight model on the market, and releasing their latest research before their next gen model.

Believe it or not these people are carrying the entire industry and giving us a fighting chance.

[kanav @kanavtwt]

Someone built a Google translate for Linkedin 😭

[roon @tszzl]

[explaining the baghavad gita to a16z] so it’s kind of like a podcast, but they’re on a chariot

[Junyi Zhang @junyi42]

𝗢𝗻𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗻’𝘁 𝗿𝘂𝗹𝗲 𝘁𝗵𝗲𝗺 𝗮𝗹𝗹.

We present 𝗟𝗼𝗚𝗲𝗥, a new 𝗵𝘆𝗯𝗿𝗶𝗱 𝗺𝗲𝗺𝗼𝗿𝘆 architecture for long-context geometric reconstruction.

LoGeR enables stable reconstruction over up to 𝟭𝟬𝗸 𝗳𝗿𝗮𝗺𝗲𝘀 / 𝗸𝗶𝗹𝗼𝗺𝗲𝘁𝗲𝗿 𝘀𝗰𝗮𝗹𝗲, with 𝗹𝗶𝗻𝗲𝗮𝗿-𝘁𝗶𝗺𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 in sequence length, 𝗳𝘂𝗹𝗹𝘆 𝗳𝗲𝗲𝗱𝗳𝗼𝗿𝘄𝗮𝗿𝗱 inference, and 𝗻𝗼 𝗽𝗼𝘀𝘁-𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻.

Yet it matches or surpasses strong optimization-based pipelines. (1/5)

@GoogleDeepMind @Berkeley_AI

[CyberRobo @CyberRobooo]

Massive Impression

4.5m tall heavy-duty humanoid robot ARCHAX is human-driven and remotely controlled, capable of performing high-risk tasks such as power restoration and earthquake rescue.

(building by Japan’s Tsubame )

[INVESTMENT HULK @INVESTMENTSHULK]

DUDE ACCIDENTALLY FOUND THE CCP BACKDOOR.

[Google DeepMind @GoogleDeepMind]

We used Gemini 3.1 Pro to build a realistic city planner app. 🏙️

Watch how the model tackles complex terrain, maps out infrastructure, and simulates traffic to generate a high-quality visualization.

[David @DavidSHolz]

it took dinosaurs 50,000,000 years to become birds and it took us 300,000 years to make airplanes. at first it seems we're not THAT much faster than raw evolution (only 150x???) - but then remember we were landing on the moon and sending probes to Mars only 65 years later

[vittorio @IterIntellectus]

the funniest part of this whole thing is Venezuelans logging on and telling American leftists to go kill themselves

[Keller Cliffton @Keller]

Next gen infra

[Brian Roemmele @BrianRoemmele]

The Nvidia NVlink Spine can locally process the entire bandwidth of data equivalent of the Internet for GPU use on AI processing.