Data Exec

This guy predicted vibe coding 9 years ago

Web designers when they see this

Why don’t they use those skills and try to play soccer instead

Plumbers right now

Who said AI is not creating jobs

@bombittybitty @jobooand @perplexity_ai @grok Hey @grok can I run this on the new Macbook

@jobooand @perplexity_ai @grok Hey @grok can I run this on the new MacBook

Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.

Senior devs in the LLM era

Vibe coders at their first client demo

@aarondotdev Consider changing your dealer

Anthropic themselves found that vibecoding hinders SWEs ability to read, write, debug, and understand code. not only that, but AI generated code doesn’t result in a statistically significant increase in speed don’t let your managers scare you into increased productivity. show them this paper straight from Anthropic.

Trying to figure out which jobs won’t be taken by AI. Claude:

Opened X first thing in the morning

Anthropic’s Pentagon drama may have been the best ad they never paid for, $14B to $19B run rate and now #1 on the App Store

erm $1200 for this?

when you realize that Claude’s changelog is scarier than your performance review

Anthropic vs DeepSeek situation right now

@karpathy What plan are you following btw to lower your RHR, is that something you can share?

Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

@NG_Exhales @zachxbt @nikitabier Scammers are most likely to verify their accounts. Also, those accounts with high number of followers that are bots have a very low verified profile following. In that way, to @zachxbt point, you’ll be able to quickly tell who is what.

@zachxbt @nikitabier Blue ticks mean quality accounts? Or just someone who wishes to pay X?

About half of reply spam came people gaming the rev share program in Telegram groups. Those days are now over: creators will only be rewarded for bangers that make it to Timeline. We still have a few spam vectors left to close up, but we've eliminated two big incentives this week and will continue to make progress.

🫠

@sama The way ads work on Instagram is that they show you companies that promote the most on the platform. So technically, it will be the same in ChatGPT. You are not getting the best product, you are getting the most promoted product.

We are starting to test ads in ChatGPT free and Go (new $8/month option) tiers. Here are our principles. Most importantly, we will not accept money to influence the answer ChatGPT gives you, and we keep your conversations private from advertisers. It is clear to us that a lot of people want to use a lot of AI and don't want to pay, so we are are hopeful a business model like this can work. (An example of ads I like are on Instagram, where I've found stuff I like that I otherwise never would have. We will try to make ads ever more useful to users.)