Add some distance and sensitivity. I used blunt / brute force repetitions and somehow wasted years. Music is very subtle, and keeping a focus on small details is worth thousands of hours.

How do we know if a token sits at an abstract level or just the textual level ?

Maybe people are too comfy with axios base path url and interceptor api ? or maybe fetch handles that as well ? (through a shim ?)

Have you run into other people doing the same ? it could be a nice new movement.

take care

Yes, I’ve met many people already. Feel free to reach out if you have questions cancer@sytse.com

Sid — I’m at FDA and would like to talk to you about your proposals to make industry more patient friendly. Will reach out to this address unless there’s a better one.

cancer@sytse.com is a good address to reach out to. Thanks for reaching out. I look forward to discussing. You can find some of my ideas in slides https://share.icloud.com/photos/020eRAUd5TqDwlypQCT-qhK7w

related: "ChatGPT and AlphaFold Help Design Personalized Vaccine for Dog with Cancer" https://www.the-scientist.com/chatgpt-and-alphafold-help-des...

We need to allocate some % of our AI use to tackle this problem. Help us learn and find better abstractions and methods.

Maybe the analogy was wrong but more and more, I believe that some of a value was implicitly about how many organs/industries did it touch.

A blend of both. You do create more, but the goalposts are always one more step away.

ps: it's strange that YouTubers are talking about the same thing. People in different dev circles. Agentic feels like doom ide scroll.

Sounds similar to a slot machine. How odd…

I can report that french reddit thread all mention Walker Texas ranger all along the page. These Sunday lunch shows hit different.

Isn't this an unavoidable company pattern? Early on you go all in to prove your mastery. Then your reverse course to ramp benefits or something like that.

I've seen this in many groups. Every time I laugh thinking about private enterprise efficacy. Then I shed a tear. Distribution problem.