Rugveda Thanneeru

Postdoctoral Associate @Cornell

[Rugveda Thanneeru @rugveda]

what an intersting last 24 hrs

[Rugveda Thanneeru @rugveda]

@dangreenheck this is very impressive

[Scott @scottstts]

My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it

Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do

[Rugveda Thanneeru @rugveda]

Intelligence is not what you know, it is what you do when you don't know - Jean Piaget

[Rugveda Thanneeru @rugveda]

A good health and a piece of mind … is all we need in the world of abundance.

[Rugveda Thanneeru @rugveda]

@bcherny @tdinh_me @AnthropicAI It happens a lot

[Rugveda Thanneeru @rugveda]

Couldn’t agree more…

[Satya Nadella @satyanadella]

Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.

We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.

And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.

So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.

The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.

This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[Rugveda Thanneeru @rugveda]

@filicroval Cool

[Rugveda Thanneeru @rugveda]

@alexandr_wang But in the world of GTA 6 …. Who wants to play Counter-Strike?

But we know what you mean, great efforts and congratulations..

Tip:
If you can add realtime diffusion models on top of your counterstrike .. and just generate pixel just at eye tracking level in VR … Boom 💥

[Rugveda Thanneeru @rugveda]

very very close to AGI,... Great work!! @sama @OpenAI

[Rugveda Thanneeru @rugveda]

crazy

[ARC Prize @arcprize]

GPT-6 Astra by @OpenAI achieves SOTA on ARC-AGI:

- Astra scores 63% on ARC-AGI-3, 99% via a new provider adapter harness
- It surpasses human performance on 96% of ARC-AGI-3 levels
- It builds the most precise symbolic model of novel environments we've seen

Our analysis:

[One hard Truth @one_hardTruth]

5.

[Garry Tan @garrytan]

Datacenters create prosperity and good jobs

[Rugveda Thanneeru @rugveda]

@chamath @jacobpeake In the next phase… when agents start working on kernels… the major part of programming would be….a whole new branch of mathematics, developed around the architecture. As humans it will be hard to comprehend. But much faster and efficient than ever!

[Rugveda Thanneeru @rugveda]

Data center debate is a political noise… and it is causing more harm than good.

[Arthur MacWaters @ArthurMacwaters]

we’re having debates about datacenters and China is publicly developing superhuman robot armies

what the actual hell are we doing here guys

[Arthur MacWaters @ArthurMacwaters]

we’re having debates about datacenters and China is publicly developing superhuman robot armies

what the actual hell are we doing here guys

[Guillermo Rauch @rauchg]

We spent our entire lives, and human history, under the assumption intelligence was a scarce resource. Now, everyone can summon an inexhaustible IQ machine like it's tap water. And incidentally, the change is so profound our own brains can barely comprehend it.

[Rugveda Thanneeru @rugveda]

Cut through bureaucracy

[Garry Tan @garrytan]

Growth is good

AI will create unimaginable economic growth and that is the best white pill

[Thariq @trq212]

you can already see Jevons paradox at work in mathematics

there is more happening, it is easier to understand and mathematicians have more time to discuss it with us at higher abstraction levels

demand for people who think and know about math will go up