Pradeep Muniganti

a multimodal, generally intelligent neural net capable of tool use and agency

[Pradeep Muniganti @pradmuni1]

accurate on-dist and hallucinates off-dist

[Anthropic @AnthropicAI]

New Anthropic research: A global workspace in language models.

Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.

We found a strikingly similar divide inside Claude.

[Dmitrii Kovanikov @ChShersh]

"We had a good thing, you stupid son of a bitch! We had StackOverflow with incredible answers to all CS, Maths, DB, programming and systems questions, we had everything we needed, and it all ran like clockwork! You could have shut your mouth, accept that your question was closed as a duplicate, and made as much money as you ever needed working in tech! It was perfect! But no! You just had to blow it up! You, and your pride and your ego! You just had to invent AI and LLMs! If you'd done your job, known your place, we'd all be fine right now!"

[Pradeep Muniganti @pradmuni1]

@gleech Holy shit

[Pradeep Muniganti @pradmuni1]

@eric_is_weird https://t.co/H81WVswRZR

[Elon Musk @elonmusk]

@aaronburnett Truly massive gains will come in ~3 months when the entire training and inference stack is written in C/C++ and massively simplified (most software layers will be deleted completely) and we exact-map Grok to work incredibly well on a GB300

[Pradeep Muniganti @pradmuni1]

@andrew_n_carr What about now?

[Polymarket @Polymarket]

Questions are everything.

Because the people who never stop asking are the ones who find answers.

[OpenAI @OpenAI]

We’ve designed and built our first AI chip: Jalapeño.

Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.

Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.

[xjdr @_xjdr]

y'all, glm 5.2 is very good

[Pradeep Muniganti @pradmuni1]

@willccbb @hallerite old school rl will

[Pradeep Muniganti @pradmuni1]

@Andr3jH @lu_sichu 😂

[jietang @jietang]

@elonmusk @teortaxesTex won’t take that long

[Pradeep Muniganti @pradmuni1]

@aidangomez bro 😂

[Pradeep Muniganti @pradmuni1]

@naiivememe 😂😂😂

[Pradeep Muniganti @pradmuni1]

@Mascobot how do you get the best data?

[Pradeep Muniganti @pradmuni1]

bitterer lesson.

[Ihtesham Ali @ihtesham2005]

Sergey Brin said compute is dessert. The companies winning the AI race right now are not the ones with the most chips. They are the ones with the best algorithms.

Every headline you read about AI is about data centers, Megawatts, and Nvidia orders. Billions in infrastructure and more. The entire investment thesis of the last three years has been built on compute scaling as the primary moat.

Sergey thinks that framing is wrong.

He pulled out an example from physics. The N-body problem. Scientists have been running those simulations since the fifties. Over the decades, raw compute improved on Moore's law. But the algorithms to solve the problem improved faster. Not slightly faster. Far faster. The algorithmic gains made the compute gains look small.

He says the same thing has happened in AI over the last decade.

Compute is not the meal. It is the dessert. You still want it. Nobody is turning down frontier compute. But the companies that figured out the algorithms first are the ones actually ahead.

The market is pricing AI winners by who has the most chips.

Sergey Brin just said that is the wrong scorecard.

The ones who win this are not building the biggest data center. They are solving the harder math problem.

[Pradeep Muniganti @pradmuni1]

great aesthetics for a wellness company!

[Midjourney @midjourney]

Announcing a new division of Midjourney called "Midjourney Medical"

[Pradeep Muniganti @pradmuni1]

Ah they bought cursor!

[Pradeep Muniganti @pradmuni1]

why is spacex going public now? to fund ai data centers with the capital?!