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Pretty sure next year's wrapup will have "Year of the sub-agent"

... an era bookmarked at the end by the first live music broadcast transatlantic performance of Old Man River from a studio in NYC to a theater in London and that wasn't until 1957 and is a story all on its own

https://www.sciencemuseum.org.uk/objects-and-stories/robeson...


One of my soft milestone tests for AGI is if this gets reproduced in a World Model with Gaussian Splats or whatever it is by then that lets you do gameplay walkthrough in first player egocentric 3D-6DOF-360 view in XR with some friends till then its just all stochastic parrots on word calculators whats the point

The business model at Groq basically morphed over time so the internal cloud was their only client and all purchases were on some revenue sharing basis to finance set up and operate the cloud business. So this has a bigger impact on those Cloud hardware operators to the extent they were involved in the discussions with Nvidia. Saudi Aramco comes to mind, as an early big check investor, who hosts much of the Groq Cloud today. So now Nvidia is their sole source supplier and the whole Tokens-as-a-Service business model they signed up for is re-negotiated ?

How is this determining a comment is "Highly Upvoted" on HN where that is explicitly kept out of the ui/ux and new comments are a/b tested across users etc... it's not a thing you can know. I have had comments with a big number of descendents but very low upvotes so thats not a reliable indicator either. Genuinely curious.


Here is the prompt I used!

* contrarian_view: * Look for the most upvoted comment that DISAGREES with the article's premise or the majority sentiment * This is the "steelman" of the opposing view - the most compelling counter-argument * If no significant contrarian view exists, set has_contrarian to false * Focus on constructive disagreement, not flame wars


This story should be bigger news on HN not maybe just for the aquihire but for the statement of intent market signal the future has Johnny Ive's vibes both OpenAI and Meta have now poached top people from Apple AVP teams + Meta is increasing focus on the Ray Ban formfactor + neither has a mobile phone hardware ecosystem to fall back on as source of compute so next couple of years progress in VLM, DETR, Splats, etc might be shaped by the new interfaces and I am well psyched up to see where this puck is going !!


Is Tesseract still considered the go to here for OCR I would have thought lot of other options are out there now


Chunking on hierarchy is a good and async built in and a cross encoder mode .... I like this project's Keep It Simple Stupid approach without skipping on functions even a basic graph triple. Using this to fill out a PoC mockup could be worth it vs dummy data and just drawing a cloud.


Given 10min of sunlight the body can naturally produce 15,000UI equivalent so I think gp is likely astroturfing for that brand


You are missing the point where accuracy stays the same


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