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Pump.fun to raise $1B token sale, traders speculating on airdrop
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Boop.Fun leading the way with a new launchpad on Solana.
Ben Scharfstein
applying AI @scale_ai. started a few companies (Village Computing, Stelo, Rume). built recommendations @google, applied math @harvard
This is the way. Have had (vibe)coding take home at Scale since February for our PM team.
It takes time to calibrate to the interview format but once you do it’s high signal
13.8. klo 21.57
We are adding a coding section to all of our Product Managers interviews at @Shopify.
We'll start with APM interviews. We expect candidates to build a prototype of the product they suggested in the case interview.
There is no excuse for PMs not building prototypes.
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If you're the market leader, you can't afford to be the average of your competitors. Every company is going to face a buy vs. build decision in the next few years, picking exactly where to place your AI bets will be critical.
Companies that have distribution have a unique ability to build experiences based on deep historical relationship with their users.
We discuss this and more on the latest episode of Human in the Loop. Link in replies!
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My startup in 2019 was called Lume — nothing to see here, decent name now unclaimed.
But pretty wild that they have almost exactly the same logo as well.
Best of luck to the new Lume, may your fate be less impacted by a global pandemic than ours was.
29.7.2025
Introducing Lume, the robotic lamp.
The first robot designed to fit naturally into your home and help with chores, starting with laundry folding.
If you’re looking for help and want to avoid the privacy and safety concerns of humanoids in your home, pre-order now.
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This is the type of work I’m talking about for enterprise RL. When you use rubrics as rewards you can expand the set of RL domains dramatically
25.7.2025
🤔 How do we train LLMs on real-world tasks where it’s hard to define a single verifiable answer?
Our work at @scale_AI introduces Rubrics as Rewards (RaR) — a framework for on-policy post-training that uses structured, checklist-style rubrics as interpretable reward signals. 🧵
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