It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

Como eu costumava dizer na nossa primeira startup, "agregar valor ao medíocre já é bom!"😂

Jensen (CEO da NVIDIA) contando, em japonês (dublado por IA), a história da parceria da empresa com o Japão, inclusive como a SEGA a salvou na transição Saturn para Dreamcast: youtube.com/watch?v=vUuOGdAZ…

Em Busca dos Tesouros agora para Atari 2600! br.ign.com/retro/130928/news…

E para escolas distantes, hospitais e localidades em lugares ermos, África e todo o resto do mundo. Ela não "fornece" para garimpo ilegal mais que a Samsung "fornece" celulares, e a Petrobras "fornece" gasolina. Desonestidade intelectual que chama.

A collection of previously unknown digital artworks created by Andy Warhol on a Commodore Amiga computer in 1985 was discovered and recovered from obsolete floppy disks in 2014. perplexity.ai/page/andy-warh…

This. archive.is/o0e6V

Patrocinadores! 🤭

Camarote do Inter na Arena MRV!🥰

unintentionally perfect metaphor for how we are destroying beauty for profit Bravo

A matter of fat: Hunting preferences affected Pleistocene megafaunal extinctions and human evolution sciencedirect.com/science/ar…

Uranium 238 in a cloud chamber.

We need a free and diverse set of AI assistants for the same reason we need a free and diverse press.

Ditaduras, como reconhecer uma e porque são ruins homeroottoni.wordpress.com/2… via @CogitaTuti

BEHOLD MY BABYHOLDER (actually the Slobbering Watcher from lootstudios.com, printed in an ELEGOO Mars 4 Max 6K)!!

"Now witness the firepower of this fully ARMED and OPERATIONAL battle station!"