poslathian

Seconded, great share

Really!? Glm5.3 is my daily driver and I feel im having the most productive experience with agentic collaborations so far, by a lot. Using pi with tons of custom extensions, that to be fair I developed since making the jump off of codex and claude about 12 weeks ago. I primarily do not write code for a living. I do a lot of modeling and commercial analysis and a lot of math (related to differentiable simulation)

I’ve heard this about mechanical electronic signage used for team dashboards 30-40 years ago.

You’d sit in the office with your back to it and the clicky clacky sounds would be going every so often when the content updated. but people would know the specific clicky clacky sound that required them to turn around and read the sign based on their job function.

I’ve also heard of day traders mapping stock tickers or other data into sound and having headphones on all day with it

Interesting point. I think there might be something special about sag given the way Hollywood does business. Everyone switches employers constantly as projects spin up and wind down. Having a mostly permanent role in an organization is super unusual - and I wonder if these roles (like a 20 year soaps gig or the simpson’s) have different stats on working on/off the card.

Nice, very LTL

The bibliography is more important, imo, than the peer review. I get the most use of arxiv surfing references and citations.

Sandberg built the company that polluted everything with this cynical influencer economy. Schmidt built the company that turned users into the product.

Oh yeah, his decision here updated my mental model a lot

I’m lucky to have more than my share of really exceptional programmers to hang out with and they all say the same thing: “I haven’t been writing code for months and don’t expect to again”

This is a way different sentiment than “programmers aren’t needed anymore” - I’m just seeing ambition, motivation, and fun go up in lockstep.

I first heard this in November and slowly one by one it’s everyone whose opinion I respect.

FWIW the other popular topic is how abysmally stupid and limited these amazing tools continue to be, despite also being magic.

Oh and that none of us have gotten token maxxing to succeed, despite lots of trying.

What if you are going to spend 5400 either way, you go all agent or get an apprentice and an agent for them too.

This is the freshest take I have ever seen. Kudos, so cool.

My professional career has been 20 years of physical ai research and now industry. My dad insisted I take corporate accounting in undergrad.

It’s a skill I use every single day, double entry bookkeeping is one humanities great inventions and deeply related to conservation laws utility in various other areas. Could not have built my business without having gotten so into this Topic.

Pushing 20 years in industry and this is the best take I’ve heard

as I understand, Bell Labs mandate was to improve the network, which had tons of great threads to pull on: plastics for handsets, transistors for amplification, information theory for capacity on fixed copper.

Google and Meta are ads businesses with a lot less surface area for such a mandate to have similar impact and, frankly, exciting projects people want to do.

Meanwhile they still have tons of cash so, why not, throw money at solving Atari or other shiny programs.

Also, for cultural reasons, there’s been a huge shift to expensive monolithic “moonshot programs” whose expenses need on-demand progress to justify and are simply slower and way less innovative.

3 passionate designers hiding deep inside Apple can side hustle up the key gestures that make multi touch baked enough to see a path to an iPhone - long before iPhone was any sort endgame direction they were being managed to.

Innovation thrives on lots of small teams mostly failing in the search for something worth doubling down on.

Googles et al have a new approach - aim for the moon, budget and staff for the moon, then burn cash while no one ever really polished up the fundamental enabling pieces in hindsight they needed to succeed

They are differentiable which allows for image based rendering via solving the inverse of the rendering function via gradient decent