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RT @UseSynth: Lots of folks ask us how GEPA works and what prompt optimization does under the hood. So we did a simple $0.50 run on a stan…
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.
“Congrats man, I built the exact same product as yours but still at $0 MRR. Can you tell me how you market your product?” I’m fine with copycats as competition is good but I don’t understand what people think asking your competitor question like this. 🫠
It’s like “Can you tell me how to get some of the money in your pocket?”
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我老婆今天问我， 说你想当教授吗？ 我说我不想，我已想好了我的终局——创业做生意。 --- 真正的自由就是不管你在哪里， 你都有能力赚钱养自己，养活一家人。 我期待生活就是现在这个样子，想工作就开开心心的工作， 不想工作了，放下手里的活， 开着我那破车奔向诗和远方。 我现在就挺好的， 我学历不高， 也不是教授，但是我现在有点能力选择做点自己喜欢的事， 或者选择不做哪些事。 我没有房子、没有贷款、老婆理解。
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the common response is that the models just want to learn and transformers are the thing we know how to scale really well. but this begs the question why transformers are the one thing we know how to scale? it’s not just sunk cost
dei ex machina @openai, past: posttraining o3/4o, sora 1 & 2, applied research
Yes. It’s great to see many more open weights releases but, to paraphrase Liang Wenfeng, they seem to fight "the next war with last wars' generals".
Artisanal baker of reasoning models @pleiasfr