Toyota lean manufacturing has an idea called "genchi genbutsu", essentially meaning managers should "go see the real thing at the real place" in a factory instead of sitting in an office hearing secondhand descriptions. AI coding suddenly makes this practical for software.
Unclear if a durable trend, but CEOs and CTOs are back to coding with a fury, thanks to coding agents.
I have public company CEOs sliding into my DMs (and “InMail”) telling me about falling in love with shipping software again thanks to Claude Code and Vercel.
“Dream accounts” that we always wanted to work with, where in the past the C-suite would hardly understand the infrastructure until much later in the game.
Coding agents are the ultimate PLG-fication of the enterprise. Bad, legacy software can’t hide anymore. The stack that works is self-evident to the entire organization, from intern to CEO.
What if we paid for results, not just research?
With NIH funding under pressure, @schethik makes the case for “pull” funding to complement existing grants and unlock overlooked treatments like repurposed drugs.
https://t.co/5uULpYxifw
the pro-ai astroturf movement thing that sort of metastasized out of sb 1047 still feels indelibly sb 1047 shaped today. take the obsession they have with "doomers" and their "speculative science-fiction scenarios about AI causing catastrophic risks."
we still hear these lines today from the astroturfers and the small number of authentic unwitting fools who got astroturfed.
yet the actual, powerful 'pro-ai' line is something more like "right now, only the rich get great legal and medical and other expert advice, and the entrenched classes who provide those services want their work to remain expensive." and indeed, many of the state laws we see are doing just this: barring AI from providing licensed expert advice in various ways, or restricting use in a structurally similar fashion.
you'd expect the 'pro-ai astroturf' crowd to be all over this stuff, but few of them are. instead they are pouring monotonically more money into this quixotic quest against the catastrophic risk bills--some of the cleanest AI legislation there is from a political-economy perspective. I wish someone would astroturf the "AI means mass abundance of services previously reserved for the elites" argument--it's true after all! the entrenched classes (the medical establishment, the state bars, etc.) really are lobbying for regulatory capture. where is the outrage?
but instead the pro-ai people obsess over this deeply unpersuasive idea that AI policy is a manichean struggle against "the doomers."
so bad laws--laws that hinder good uses of ai by normal people and keep expensive things expensive--are passing like crazy, and the White House is bullying states into voting down light-touch catastrophic-risk transparency laws while the career staff of the national security agency point at mythos like the black monolith.
it is an incredibly stupid outcome. it is also remarkably sb 1047-shaped. that debate really programmed the brains of many, especially on the accelerationist side (and btw, for those lacking context, I was among the very earliest sb 1047 skeptics, writing screeds about that early attempt at ai regulation back in February 2024 when the VCs were telling me "oh, it's just a state law, that'll never matter." true story.)
it is time for a great reset of ai policy.
@Jessicalessin I feel like it’s also optimizing the route to minimize the chances of an accident (which I want to some degree but not as much as it does). But I also just like the 280 scenery.
@typesfast Matching Uber’s pickup times at peak requires a ton of Waymos sitting idle off peak. So economics are better if they let Uber stick around for now to augment them at peak.
I just want to remind everyone that we do actually all have to ride through takeoff together, all parties will remember how other parties treated them, and this is far from the last repetition of this game.
(If I had to guess, this is like round 2 of ~30.)
This applies again today, e.g. people are saying the same exact thing now but code can still get *another* 100x bigger while every other vertical grows slower than code.
1-2 yrs ago the story was always "AI-for-code works pretty well so far but soon AI-for-every-other-vertical will catch up"
Instead, code just got another 100x bigger...
@ben_golub Amazing caption on the photo: “Fewer people flew in the 1960s, which allowed airlines to use the extra space for lounges”. As if the causality goes from # of people flying total to how much space is designed into each plane.
This is an early release guided by a vision we are working toward on Poe: the ability to combine models from all providers into easy-to-use experiences. We chose vibe coding as the medium for this because of its power and flexibility.
Introducing script bots, a new way to combine models and automate workflows on Poe.
Script bots are created through vibe coding with Script Bot Creator and can combine any of the 200+ text, image, video, and audio models on Poe, plus any other bot on the platform. (1/9)
Introducing group chat on Poe: a new way to collaborate with any AI and anyone you know, all in a single conversation.
Now available to all users worldwide, groups can interact with any of the 200+ text, image, video, or audio models on Poe, plus any creator-made bots. (1/8)
Amjad Masad and Adam D'Angelo debate whether the current LLM paradigm will get us to AGI:
Amjad: “I don't think we're going to get to the next level of human civilization until we crack the true nature of intelligence.”
Adam: “Nothing seems fundamentally so hard that it couldn't be solved by the smartest people in the world working incredibly hard for the next five years on it.”
Amjad: “But basic research is different... Thomas Kuhn, this philosopher of science, talks a lot about how these research programs end up becoming like a bubble and sucking all the attention and ideas.”
Adam: “ This is maybe our disagreement. I think the current paradigm is pretty good. And I think we're nowhere near the sort of diminishing returns of continuing to push on it... I would just bet that you can keep doing different innovations within the paradigm to get there.”
@amasad@adamdangelo