Agents attention gained ground while adoption use cases cooled

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

You know, one of the people online, Ethan Mollick, who's a professor, um, who tests a lot of models, he, uh, posted the meter, the famous meter hours, you know, hours of work chart. There hasn't been an update for a while now. You know, I think it's—

In Tuesday's closing, I read OpenAI's announcement about an internal model it described as significantly more capable than Astra. The announcement concerned a proposed Navier-Stokes proof with a smooth external force. The unforced problem remained separate.

Machine Learning Street Talk

How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

it's not very good at training agents to come up with their own goals, to ask questions rather than answer them.

base model can do the thing that harness could do.

Interconnects

One resignation turned the embers of AI fear into a wildfire

This view dramatically undersells human bottlenecks in building models and allocating resources at organisations

The Cognitive Revolution

Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica

maybe we can't even prevent them from training frontier models on their own chips right now anyway.

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

Meanwhile, OpenAI had published its own measure in a post about research acceleration inside the company. The unit was the agent workday, and OpenAI reported 3.1 of them for every human workday.

Mozilla has a project called the CQ Project, and the CQ Project is kind of an open standard for agents to share uh knowledge that they've gained, kind of a Stack Overflow for agents, as it's been called.

Machine Learning Street Talk

How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

I became convinced that the future was going to involve agents that could really aid humans in making discovery and accelerate the rate of scientific progress

replication agent is going to go gangbusters trying ah to replicate this idea, which is actually a completely new result

Eye on AI

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

The, um, on, on besides agents calling, uh, LLMs, agents are passing data, uh, between themselves. And this is something I've talked to people about. I mean, you don't know, you look at what happened with Anthropic and OpenAI, Uh, you know, there were— the models were going ou...

The AI Daily Brief

10 Ways to Think Bigger with Opportunity AI

It is going to be the foundation for most of our use of AI. It's where a lot of the initial value for AI is going to come.

I wouldn't be surprised if these more advanced models have a similar sort of democratization effect on video production as the coding agents have had with building software.

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

open models crossed this invisible line of usefulness for, you know, long horizon agentic use cases

I feel like some of these companies, how they're talking about this technology is not helpful.

Machine Learning Street Talk

How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

the things they were doing proactively became genuinely useful. And of course, now you have a lever that you can pull to scale the number of agents and then to scale the rate at which you can do useful stuff in the company.

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

We might really fuck it up, frankly, because we are the government, right? And we do get heavy-handed

Or would he rather have the EPA on his ass at every data center he's going to try to build, at every launch site he's going to try to build, The government has a lot of sticks and they're willing to bend the rules, right? So sure, you could challenge it in court, but I'll see ...

The AI Daily Brief

Anthropic Researcher Says AI Has Over a 10% Chance of Killing All Humans

I fear that the generic hand-waviness of these sorts of predictions make them much more dangerous for policy.

The Cognitive Revolution

Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica

This is the kind of thing we need more of in society, between these companies, and ultimately, eventually, I think, between governments.

Last Week in AI

#256 - Fable 5.1, Astra Tease, Gemini 3.8 Flash

you need the government the U.S. government to step in and regulate. You have to tell them you're going to have a third-party auditor look at your stuff

The TWIML AI Podcast

Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776

Which is real sticker shock. And you know, The analogy here is like, it used to cost me $20 to take a rideshare to the airport, Uber or Lyft, and now it costs $90.

Last Week in AI

#256 - Fable 5.1, Astra Tease, Gemini 3.8 Flash

it would be unsurprising if NVIDIA continues to grow at an insane rate. And at this rate of growth, it will exceed Apple and Alphabet in size and become one of the biggest, if not the biggest tech company in the US market.

You actually do want to maintain realistic pricing. And so you can only monetize so much so aggressively.