After listening to @vendorprisey talk about how hard it will be for legacy systems to do AI, and then listening to @garrytan talk about what they have built at YC, I realized just how incredibly valuable it is to be able to build from scratch right now.
https://t.co/biVLI3Lq1y
If anyone is creating a company that helps companies that pulls companies up these levels, I'd love to meet. Particularly around legibility and/or non-engineer usage of AI
Projected energy demands of AI are off the charts according to a recent AI energy investment thesis from @SalesforceVC
But forward-thinking startups like @CrusoeAI are flipping the narrative. Read more: https://t.co/mdjqAwsU4G
@ChaseLochmiller
@tinofernandez@LinkedIn Tino, el caso de Capgemini lo dice todo. La IA no está causando estos despidos — está proporcionando el lenguaje para justificarlos. La trampa es estructural 👉🏽 https://t.co/thz2c4T73o
The AI jobs displacement debate shouldn’t be focused on whether AI can replace jobs, but whether a critical mass of firms believe they can’t wait to find out.
@erikbryn@ccatalini@DarioAmodei
https://t.co/thz2c4T73o
@bhalligan@sequoia@jack Meta’s already running 50-to-1. Jack wants basically zero. The middle layer isn’t being cut — it’s being replaced. AI absorbed the work that justified it.
This may be the least volitional business transformation we’ve ever seen. It will certainly be the fastest and most sweeping.
But not all leadership agency is forfeit.
https://t.co/xaYnMm1XZS
cc: @pvergadia@lugaricano
@cremieuxrecueil This is what the Measurability Gap looks like in hiring data. When AI makes signals cheap to produce, employers can’t verify quality — so the market stops rewarding it. Not a planning failure. An information failure. And it scales.