
Matthew Berman
@MatthewBerman
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Building Forward Future. YouTuber, Angel Investor, Developer, AI Enthusiast. https://t.co/9rk7dmIboR
California
Joined June 2007
Why would he be scared? . The limiting factor for most people who don't have laundry machines is square footage, right? . Seems like he should buy robots and offer a premium "wash for you" service.
This guy runs a $100M laundromat business and he’s scared. He should be. The only limiter now is pretraining data. Once we feed more data into Helix, the robot will handle more tasks. The hardware needs no changes - it’s already built to do most tasks humans can.
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Should OpenAI retire the old models?. Is the simpler user interface worth the tradeoff of less customization?.
FROM THE LIVE SHOW: @mreflow and @MatthewBerman on retiring past models. > Probably a smart move to go to a single model.> This isn’t for power users, but for general users.> Paying for GPT gets complicated when there are so many options.> Most people don’t want to think about
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Was OpenAI releasing a frontier open source model the same week as GPT-5 the greatest 4D chess move?.
FROM THE LIVE SHOW: 4D chess or conspiracy theory?. Why would OpenAI drop a cutting-edge open-source model… then launch GPT-5 right after?. > Out of the goodness of their hearts to uphold the open mission?.> Or a genius play by Altman & team?. The pitch writes itself:.> Want the
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We might be "post eval" as @theo said. Getting 1-2% on math evals doesn't matter anymore. We need new benchmarks that test the qualities of a model that are more difficult to describe. aka the vibe.
FROM THE LIVE SHOW: on knowing if new models are better. > You have to do the vibe check.> We’re at the point where you just need to use the model — they’re all getting gold on the IMO. > Use it, explore its boundaries.> Figuring out the right workflow between models is key
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