3,742 karma · joined March 1, 2011
Almost all of Tao's questions begin with what, or why. That forces an open ended response, which is a great way to reduce or eliminate sycophancy and severe hallucinations. The less you steer, the more accurate it gets.
Being in the Bay Area, you can throw a stone and hit a senior employee of these companies, and they will happily gush about the quirks, policies, and intents inside. All the more reason that they are -not- qualified to weigh in on who gets the nuclear codes.
They know what they're doing. It's a playbook. You write scary stuff in the model card to make it look like legitimate whitepaper rEsEarCh, then drip-feed it to the media outlets who make it a headline story. Fear based marketing is the hot trend of the 2020s.
But also, they write literal headlines: https://www.anthropic.com/research/agentic-misalignment
Open source is cheap, yet its operating systems are the least-popular. But their existence is critical to a healthy market.
It's not zero sum.
What you're describing is how things become commoditized, but many companies are excellent at ensuring they aren't seen as commodities
> 4 days ago: 8M users
> 3 days ago: 9M users
That's some incredible growth.
Eventually "coding" will simply be prompting skill with the wisdom of architectural decisions.
That's also one way to describe what it's like to code with React et al these days, anyway. Component/hook selection skill with the wisdom of architectural decisions.
This has almost never been true. GPUs existed, and were being used, before the N64.
Your comment also begs the question that the console consumer has transitioned to a gaming pc. They haven't. Gaming PC sales (and hardware) are at all-time lows, except for GPUs, which should probably be renamed to Model Training Units.
I would posit that what we're seeing is a reflection of a content problem, not hardware. Video games have gone the way of Hollywood, with sequels and derivatives, and an uninterested consumer base. People would rather watch a YouTube video of someone playing a video game than play a video game.
Its basis is React, so the code output quality is much higher than Swift because there is much more React code in LLM training data.
Everything is in the command line, and debugging is a breeze because it's a web view. But once it's compiled to native iOS, it feels like any other native app.
Expo + Fastlane = fully automated iOS submission and deployment. I issue one command and see a new version in the App Store.
Sometimes there are no consequences
This is really begging the question. If something relies on the perception of a human, it has bias. The data (or lack thereof) used to train models is per se a bias.
The mistake is assuming bias-removal is some virtuous goal to be achieved. It can't, and shouldn't. Alignment, while equally impossible, is at least a goal worth aiming towards.
Based on this definition, yep, I've been vibe coding since 2023. The products were less sophisticated, and I was copying and pasting one function at a time, but it worked. More important: it was something I couldn't do on my own.
The modern version is that bonafide engineers accept AI-generated code. It's a good thing I'm not a bonafide engineer.
The issue with content >2022 isn't that it's ai-generated per se, it's that it's still slop.
This includes running inference for ~1b free users.
What is untrue about this?
In interviews, this week alone, Dario has gone on record repeatedly about wanting to slow AI progress.
Anthropic silently degraded AI-research queries to Fable (they changed course on this, but they still thought it was a good idea)
And now that the government is taking them at their word, they're trying to drag GPT-5.5 and OpenAI down with them
Yes, the administration is being heavy-handed, but unfortunatley it's the logical end of telling everyone you built a "nuke" and that it's possible for people to use it against us