Quake turns 30 today. 🎉
Three decades later, you can still dig into the source code that helped shape modern game engines, multiplayer networking, and modding communities. 🎮
https://t.co/mV5q4YdPRM
I have my own conspiracy theory that Sam Altman deliberately provoked a RAM shortage to slow down local LLM development. If that’s the case… it’s not working.
insane Claude Code setup.
instead of asking it to "mek app" like a total normie, you first let it spin up 1m subagents to simulate 10¹² branches of civilization from 4000 BC recursively to emulate in which universe a specific version of your app is going to be most successful
I formatted my Mac recently and it defaulted to MacOS Sequoia and I haven’t gotten around to upgrading back to Tahoe and it’s actually just soo much better… more stable, faster and better looking
@AndrewYNg Again, I’m not placing a judgment on any of this. It feels like, given how leveraged the economy is on ai working out, it’s a good direction, I just think we need to be careful with the branding
@AndrewYNg I feel like the layman understanding of “General Intelligence“ is “oh okay so it’s like you or me” which again, economically it works.. but this metric essentially directly incentivises the abolition of human productivity in facet of ai productivity.
@AndrewYNg It will be interesting to see then what the next generation of this would be, because if we aren’t doing the work then it’s more like “ai is a thing that does work, I am a thing that experiences” so does that then become the new frontier?
In some important ways, a user’s LLM chat history is an extended interview. The social media algorithms learn what you like, but chats can learn how you think.
You should be able to provide an LLM as a job reference, just like you would a coworker, manager, or professor. It can form an opinion and represent you without revealing any private data.
Most resumes are culled by crude filters in HR long before they get to the checking-references stage, but this could greatly increase the fidelity. Our LLM will have an in-depth conversation with your LLM. For everyone.
Most people probably shudder at the idea of an LLM rendering a judgement on them, but it is already happening in many interview processes today based on the tiny data in resumes. Better data helps everyone except the people trying to con their way into a position, and is it really worse than being judged by random HR people?
Candidates with extensive public works, whether open source code, academic papers, long form writing, or even social media presence, already give a strong signal, but most talent is not publicly visible, and even the most rigorous (and resource consuming!) Big Tech interview track isn’t as predictive as you would like. A multi-year chat history is an excellent signal.
Taken to the next level, you could imagine asking “What are the best candidates in the entire world that we should try to recruit for this task?” There is enormous economic value on the table in optimizing the fit between people and jobs, and it is completely two-sided, benefitting both employers and employees.
Hello. I would like to share something personal with you. Please let me know your thoughts or competition answers in the comment section below. I'll leave this pinned until someone wins, hee hee! ♡ https://t.co/BohM8V5Iuo