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不追网红,只追创造者 —— 发现真正的 AI Builder

聚合来自全球的 AI 创作者动态,实时跟踪他们的博客、X、YouTube、微信公众号与 GitHub 更新。学习他们的思路、作品与灵感,做下一个 builder。

HC
Harrison Chase
𝕏x•about 2 hours ago

Have found the same things! Using glm-5 as a daily driver for a lot of things

@Flo Crivello

We've tested new OSS models the moment they're released for a while at Lindy. Inference is our #1 cost by a lot (more than payroll) — cutting it by 2-5x would be transformative. Last year, OSS models were "not even close." 3 mos ago, "almost there." Came close to making Kimi

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T
Tibo
𝕏x•about 2 hours ago

I spent ~$35k across 7 products - 3 even hit $1k mrr I still killed them all most founders think that's embarrassing but I think it's the biggest reason I'm winning now fast failures aren't setbacks - they're data each product I killed taught me something I couldn't learn any other way you can't learn what customers actually want by reading books you can't learn what business model works by watching YouTube you learn by building something, watching it fail, and asking why the problem is most founders take 18 months to learn what should take 6 weeks they build in secret for a year. launch. realize nobody wants it. get sad. I learned faster one of my products attracted the wrong customers killed it at $1k mrr one had good economics at scale but I was too small to make it work - killed it one was a feature pretending to be a product - killed it at $300 mrr each death made the next product better the products that work now, the ones doing $1m mrr combined, only work because I learned what doesn't work first and I learned that fast the real shift is: stop thinking "I failed 7 times" start thinking "I ran 7 experiments and extracted the data" failure isn't the opposite of success - it's the tuition you pay for it the only question is: how much are you paying, and how fast are you learning? this week's newsletter: I'm breaking down all 7 products I killed, what made me pull the trigger on each one, and how those lessons compound into what's working now 100% free & no ads subscribe below 👇

I spent ~$35k across 7 products - 3 even hit $1k mrr

I still killed them all

most founders think that's embarrassing but I think it's the biggest reason I'm winning now

fast failures aren't setb...
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SR
Sebastian Raschka
⚡github•about 3 hours ago

Activity on rasbt/LLMs-from-scratch

rasbt commented on an issue in LLMs-from-scratch

rasbt commented on an issue in LLMs-from-scratch

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SR
Sebastian Raschka
⚡github•about 3 hours ago

Activity on rasbt/LLMs-from-scratch

rasbt closed an issue in LLMs-from-scratch

rasbt closed an issue in LLMs-from-scratch

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SR
Sebastian Raschka
⚡github•about 3 hours ago

Activity on rasbt/LLMs-from-scratch

rasbt closed an issue in LLMs-from-scratch

rasbt closed an issue in LLMs-from-scratch

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饼
饼干哥哥AGI
📱wechat•about 4 hours ago

用AI做了一条 TikTok带货视频,成本3块钱,卖了 5 万美金

用AI做了一条 TikTok带货视频,成本3块钱,卖了 5 万美金
饼干哥哥AGI
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JL
Jerry Liu
𝕏x•about 5 hours ago

This is awesome

@turbopuffer

we couldn’t afford the sphere so we got the next best thing costs less, hits harder

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SW
Shawn Wang
𝕏x•about 6 hours ago

btw the famous slack chart is slack propaganda and everyone who cites it is legally obligated to also link to @sophiebits

btw the famous slack chart is slack propaganda and everyone who cites it is legally obligated to also link to @sophiebits
@Nikunj Kothari

Every time I see a tweet saying “I can vibe code this in a weekend” - I think of the slack notification system.. It takes time, persistence and effort to get the details right. Sure, a lot of simple workflows will get vibe coded away. And maybe you can put this in Claude Code

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JL
Jason Liu
𝕏x•about 8 hours ago

I saw them at the cafeteria (where I feed) they are around

@Jason ✨👾SaaStr.Ai✨ Lemkin

Ok I don’t seem to see @tbpn on my feed as often as a few weeks ago Is it possible X penalizes them for being bought by a competitor? Just curious The views still seem large. They’ve just … dropped off my feed. Hmmm

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讨论
RB
Riley Brown
𝕏x•about 9 hours ago

Cursor, Codex, and Claude Code desktop look exactly the same now.

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长推AnthropicOpenAI对比讨论新闻