Artificial intelligence has unleashed a torrent of cheating on campus and created chaos in the job application process, as both students and employers use large language models: the former, to write hundreds of AI-assisted applications; the latter, to screen those AI-written applications with AI-written filters, thus removing from the process of finding a first job those procedural frictions sometimes known as "people."
what Meta has assembled is free (to consumers) hardware and software that dramatically reduces the barrier to entry for ordinary people looking to harness the power of agents, making the AI upside a lot more accessible to the masses who don't want to buy a Mac Mini.
The team and I use Auto mode exclusively, and have been for many months. I couldn't imagine going back to permission prompts! Really excited to get this out to everyone.
The way you get industries in which there are small number of players are very high costs of entry, right? Um so, you know, uh cloud is like this. I think cloud is a good example of this. You have three, maybe four players within cloud. I think I think that's the same for AI, three maybe four.
Back when the Fourth Amendment was enacted, the most fundamental remedy for an unlawful government entry into your home was a civil suit for trespass against the officers.
This is a topic that I warned about very publicly in 2025 , where I predicted that AI could displace half of all entry-level white collar jobs in the next 1–5 years, even as it accelerates economic growth and scientific progress.
1913: The Year Before the Storm presents a whimsical slice of Central Europe. Art historian Florian Illies collates fragments of leading figures month by month, diary-entry style.
Codex is more like the introverted engineer that chugs along and just gets stuff done. It reads much more files before starting work so even small prompts usually do exactly what I want.
Everyone’s software is good enough these days. The barriers to entry are low. To stand out, you need to make your product feel great. One way of doing that is through animations.
Say goodbye to cycles of mock and doc feedback, and say hello to code-first prototypes with constant iteration (on prompts, models, etc) to answer three key questions.
There’s still plenty to worry about with respect to the environmental impact of the great AI datacenter buildout, but a lot of the concerns over the energy cost of individual prompts are no longer credible.
This is a worthy entry in the genre. It suffers a bit from extensive plot not about banking and characters who barely speak to dragons. But all of that irrelevant fluff makes it one of the most underrated fantasy series I’ve ever read.
My hot take is that JS has the lowest bar of entry to building and being productive (a good thing) but one of the highest bars of any language and stack to building high quality, stable, and reliable software. Very few devs have the expertise to pull off the latter
One pattern is that for simple prompts, weak models can do (nearly) as well as strong models. For more challenging prompts, however, users are much more likely to prefer stronger models.
The biggest issue is probably that we don’t control neutral networks enough to be able to ensure AI doesn’t harm humans. We can’t even control AI to not reveal internal prompts.
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