jda

[Yann LeCun @ylecun]

@FukuyamaFrancis No, we don't.

That's like saying in 1920 "we need an international treaty to ban jet engines"

[Bill Gurley @bgurley]

If you are on the verge of AGI or ASI, why isn’t your model smart enough to recognize espionage distillation in real time? You say “cure cancer in a few years.” Isn’t sniffing illicit distillation quite a bit easier than curing cancer? Why write letters to DC? Just use AGI.

[zerohedge @zerohedge]

Open models are about to eat frontier's lunch

[Siraj Hashmi @SirajAHashmi]

Counterpoint:

[Eric Schwalm @Schwalm5132]

This should be the standard.

[jda @whatmay_be]

@Geiger_Capital

[Antonio García Martínez (agm.eth) @antoniogm]

You can finally say this without being canceled: AI isn't creating a Cambrian explosion of apps, if anything it's holding app creation back.

Earlier tech waves had 'the mythical man-month'. Our generation has 'the mythical AI engineer' who magically turns enormous token usage into equally enormously-adopted products.

Well, where are the apps and new businesses then? Because compared to prior cycles (e.g. the mobile app boom starting in 2010 or so), right now seems positively sterile, app and UX-wise. Other than Claude or ChatGPT itself, name a new app you use now you weren't already using five years ago?

It's a truism of tech that throwing more people and time at a product often results in only lack of focus, confusion, and yet more code to support.

This is the parable of the company that over-raised and over-hired and grew too quickly, and now has lots of mediocre, weakly-adopted products, internal communication problems, distracted leadership, code bloat, technical debt...and so the spiral begins, which ends with an apologetic CEO post after some layoffs announcing "we're refocusing on our core customer".

Every tech company announcing they're either lowering token caps or shifting to lower-priced models is essentially saying: "we o̵v̵e̵r̵-̵h̵i̵r̵e̵d̵ over-spent on tokens, and are scaling back to focus on our core product" blah blah blah...same same.

It's the corporate version of someone using AI to write a long email, someone else using AI to summarize it, and both sides would have been better off just writing a shorter email. But now, even small companies can have that same problem thanks to AI.

I refuse to believe that an LLM prompt is the teleological endpoint of human interaction with computer intelligence. The fact we've apparently recrudesced to CLIs, like me farting around with RedHat 7.1 in 2001, feels like a step back. Another world here has to be possible, and while I have every faith (as someone as deep in AI psychosis as the next person) that AI can help get us out of it...just racking up tokens costs isn't how we get there.

The AI Jesus isn't coming to save us, human taste, discernment, and radical re-invention will. Like Kafka wrote in his notebooks: "The messiah will come only when he is no longer necessary; he will come only on the day after his arrival; he will come, not on the last day, but on the very last.”

[Daniel Piker @KangarooPhysics]

The optimal known packing of 17 equal squares into a larger square - i.e. the arrangement which minimises the size of the large square.

[a16z @a16z]

World Labs CEO Dr. Fei-Fei Li: "The world is not made of words."

"Language models have given machines an extraordinary command of concepts, vocabulary, and reasoning, but the physical world, virtual or real, runs on a different substrate."

"Where language models learn the statistical structure of text, world models learn the statistical structure of space and time: how light falls on a surface, how a garden looks from an angle no camera has captured, how objects respond to force and follow the laws of physics."

"Language gave machines a way to talk about that world. World models are how machines will finally come to understand, imagine, reason and interact with it."

Full piece: https://t.co/C9qOJg5wuc

[Dustin Gouker @DustinGouker]

I don’t think it’s an exaggeration to call this the greatest piece of prediction market content created to date.

[jda @whatmay_be]

https://t.co/yksxu4cpKZ

[Blue Origin @blueorigin]

We experienced an anomaly during today's hotfire test. All personnel have been accounted for. We will provide updates as we learn more.

[zerohedge @zerohedge]

Trump Indicates He'll Sign Bill Making Daylight Saving Time Permanent https://t.co/yEeiKvhCFM

[War for the West @War4theWest]

Why is so much healthcare paid for via 'insurance'? Day to day health care is paid for by an insurer.

Insurance is only useful for sharing the risk of infrequent, severe consequence events that have a high cost. Putting insurers in the position of paying for a visit for a cold or many, many other quotidian issues is incredibly inefficient.

Consider that we have made insurers the de facto rationing function of health care. By introducing this intermediary into the system, the 'agent-principal' problem runs amok.

It also takes the economic decision-making out the patients control so the free market is broken for this kind of care.

Many private policies are evolving to function as catastrophic policies anyway due to high deductibles and co-pays - but leaving the insurers payers for some of it so the free market cannot work.

The next issue we need to discuss is the explosion of chronic illness among Americans. This is huge driver of the explosion of healthcare costs which must be addressed if America is healthy. This isn't directly related to your question about de-regulation. But it's a crucial issue that we need a Manhattan Project-like approach to address.

The other regulatory issue is licensing and govt control of health care providers and facilities. Artificial shortages are created by this broken system.

There is a reason that health care and education have spiraling, out of control costs and quality problems - govt intervention.

[Erin Price-Wright @espricewright]

A lot of people are starting to learn that building physical stuff at production volumes is really hard and not that many people in the United States know how to do it.

[Christoph Nakazawa @cnakazawa]

fate 1.0: The first full Async React Metaframework

New in 1.0:
* Zero-Config Live Views via SSE
* Drizzle Support
* "Native" HTTP support (no tRPC)
* Void Router
* Vite plugin
* Clientside Garbage Collection
* Performance & scalability improvements

https://t.co/enF2EdbBaQ

[jda @whatmay_be]

👀

[Mitchell Hashimoto @mitchellh]

@ellie_huxtable It’s good. But why do you like it? Can you share your setup? I’m working on a new multiplexer and I’m very much into “market research” 😈

[aaron @aarondotdev]

feels like AI is 10xing too many -1x developers