AI scientist agents are great at optimizing and finding solutions through endless trial and error. But is that really what science is about? As Terrance Tao eloquently put, the role of math and science should be more than that – they are "lighthouses" that guide and inspire exploration through understanding and insights. Can AI agents discover novel insights through experimentation? To study these gaps, we worked with domain experts to introduce EurekaBench, a benchmark spanning 6 science domains that evaluates an agent’s ability to discover genuinely new scientific insights. (1/n)

You're getting sucked in to a terrible strawman argument that's a complete distraction from the actual argument. No one who's spent any time thinking about this actually believes humans are special or that carbon is magic. Read the first lines of Searle's 1990 paper on The Chinese Room: cs.princeton.edu/courses/arc… His intro makes the obvious and straightforward claim "... of course machines can think." If the Chinese Room argument is completely compatible with the idea of us building conscious machines, then obviously the argument isn't about sand vs charcoal. It's about programs, and the important thing is that computational theories of consciousness don't, and can't, make any testable claims or useful predictions. They exist outside of experiments or falsification or any useful knowledge. x.lingyaoai.com/cunha_tristan/status/2…

Fun note from Tibo at the closing q&a of DevDay: dots get their own Linux cloud computer, and that cloud computer comes preloaded with apps like Blender! I checked with my dot to get a fuller list of the preloaded apps and tools

just realized Codex $500/mo plan costs more than Thailand's average income of $470/mo

Hi, Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan. Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago. (a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want. (b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions. (c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent. (d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet. I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news. Codexingly, Tibo

3) Looks are the Trojan horse for health He believes people care about how they look roughly 10x more than about how long they'll live. The upside is that if you help someone lose 20 pounds of fat and gain 5 pounds of muscle to look better, you've moved them into a different life-expectancy bracket.

SORRY BUT I’M DONE PRETENDING THIS IS JUST HOW PRICING WORKS NOW. A $20 meal becomes $29 after fees and tip. A $200 hotel room becomes $280 after parking and resort charges. A $99 flight becomes $200 after bags and seat selection. A $29,000 car becomes $34,000 after dealer fees and packages. And every company has a different explanation for why the extra money doesn't count as part of the price. Delivery fee. Service fee. Convenience fee. Processing fee. Facility fee. Protection fee. I DON’T WANT TO KNOW WHY THERE ARE 11 FEES. I JUST WANT TO KNOW WHAT IT COSTS. If the real price is $280, SAY $280.

The last thing you see before they add electrolytes to the water supply

@ValenTagliabue led this work this over a single fellowship, with @LeonardDung1 and myself advising and co-authoring. Paper: arxiv.org/abs/2609.16247

Non-working women who started GLP-1s saw a 20–25 percentage point increase in getting a job over 2 to 3 yrs.

multiple labs use slack, we could've leaked every private images and other files uploaded to slack

I gave GPT-6 Astra Ultra one goal: build a rocket ship in The Universim 7h 50m, 6.1M tokens and $367.40 later, it did it It controlled the game through a CLI it built itself and Computer Use, with subagents handling threats, CLI usage and industry I didn't expect it to work because Astra is so slow, but it was smart enough to pause the game, plan its next moves and execute them Here's the gameplay at 100x speed Astra never fails to amaze me

BREAKING: President Trump says he will issue a $5,000 "dividend" to every adult citizen in the US if the Republicans win the midterm elections. There are currently ~245 million US citizens age 18+, meaning this dividend would cost ~$1.2 trillion. This would mark the biggest economic stimulus payment since the pandemic.

Physicists should put together a list of mathematically well-defined problems that could advance the field. Such as, eg, what constitutes a low-temperature superconductor, what are the lattice conditions for cold fusion (or why do they not exist), what is a local completion of quantum mechanics, what is the simplest (in terms of computational complexity) way to obtain the masses and coupling constants of the standard model, what is the UV-completion of MOND or why isn't there any, is there any provably UV-finite version of quantum gravity, etc etc