Adoption Use Cases attention surged while research cooled

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

we don't have to worry about building ah frontier coding agents and we can make use of all the advances that are coming in those

How good are the uh coding agents. And obviously everybody knows that the frontier companies are very focused on getting their models to be good at ML research.

Practical AI

Building the Foundation for the Agentic AI Era

We really could do a whole lot more to get to this autonomous engineering org

The Artificial Intelligence Show

#234: How HubSpot Is Reimagining the Entire Customer Journey With AI Agents

built agents to basically help us, um, you know, execute that AEO strategy so that we could, uh, you know, show up better, get cited better

I love that. So it sounds like you've actually correct me if I'm wrong been deploying agents to almost every phase of this cycle, you know from AEO to uh further demand qualification and to the actual strategy and TAM itself.

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

is that coming from Huawei or other companies? And how would you say that relates to like the prospects for scaling GPU manufacturing more broadly in China?

saves the energy but also helps to improve on the performance side

AI Inside

Bill Gates Has Three Ideas To Fix AI

m Right. Yeah. So the Apple computers that we were just talking about, you can't, so far not, you can't use this so far, at least at this point. And I think Windows computers coming soon, but right now it's DGX Spark. It's limited to, uh, yeah, Linux machines that run NVIDIA R...

This seems to be more of an inference chip than a training chip.

Latent Space

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

More compute. You know, that's the— I know that's an easy one, maybe a lazy one, right? Because 'Cause, you know, and, you know, of course our compute that we have is growing so much more than even a few years ago, thanks to NVIDIA, thanks to others. Again—

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

This is really the edge, the story of moving to the edge. Inference moving to the edge finally.

No Priors

Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein

How much of the um existing data infrastructure do you think survives all this? So, you know, there's all the ETL data engineering infrastructure that, uh you know, people have been building and deploying over the last decade. Does that stick around? Does that shift? Does that...

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

I guess, how do people decide what model to use? Is there a kind of similar taste hierarchy going on in China? And like, who— what model is sort of the insider's model versus what is the general public's model?

Practical AI

Building the Foundation for the Agentic AI Era

the agent could work the way that your team wanted it to work because it was baked into the system

The AI Daily Brief

How We Deal With Rogue AI

the firm can adopt AI tools that work within the same data privacy guarantees already offered by Google

Eye on AI

Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk

It's a common, I uh guess, the way to use uh AI, and we use it in actually the same way.

You couldn't uh use drone as like, move to this area and hit everything you see. Because you need uh to recognize, is this a civilian car or is uh this an already destroyed car or something, all of this.

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

Frontier Labs buy their reinforcement learning environments from a cottage industry of small vendors. Almost nobody audits them. This week, someone who worked inside one spoke up.

Prakash argued this is an old supplier quality problem. Quarantine the new vendor. Sample grade. I separated the defect rate from a second variable, how far the labs are scaling RL on top of that signal.

The TWIML AI Podcast

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

can actually help you do better, build better diffusion models

It's more fundamental than that. In fact, the book goes into variational autoencoders. It goes into MCMC methods, Markov chain Monte Carlo methods, which are used to sample uh, sort of sample from particular distributions. It goes into free energy estimation. It goes— there's ...

Latent Space

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

it's not only accurate, it's almost as close to what the traditional weather models can do accurately, but also tens of thousands of times faster.

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

do you have a sort of safety case in mind that you're trying to fill out the elements of where we could be confident that we actually could step back from a an ML-powered or an AI-powered ML research process for a bit and not have it go totally sideways on us?

I have a question for you. Number one, do we want to slow down AI uh in the US, even if it means slowing down unilaterally? And number 2, if we do, is not data centre opposition for other reasons, any other reason, good enough to kind of maybe slow down AI progress enough for ...

Latent Space

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

can then help us not only train neural networks to do well in a control loop, but also worry about safety and robustness, stability.

The Cognitive Revolution

RL's a Hell of a Drug: Metagaming, Reward Seeking & Motivated CoT Reasoning – Bronson Schoen, Apollo

there are a lot of really complex plans of like how we can do things with respect to alignment, but we're not really getting the simple ones down

given the stakes and the money and the, the everything involved in it, is like when you ask, okay, who's working on this particular part of alignment that's not going very well? It's, oh, it's 4 people.