Pierre-Baptiste Borges

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Pierre-Baptiste Borges

Pierre-Baptiste Borges

@pierbapt

French builder.

Paris เข้าร่วม Mayıs 2013
2.1K กำลังติดตาม1.4K ผู้ติดตาม
Kumail Nanji
Kumail Nanji@kumailnanji·
built a fun apple-esque "hello" text animation works with any text
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JA | Ազատ
JA | Ազատ@aubonheurdeja·
les bac +5 marketing sont morts je suis très sérieux en 1 prompt
JA | Ազատ tweet media
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Aakash Gupta
Aakash Gupta@aakashgupta·
There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild. He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed. When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them. Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate. The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions. Luck isn't random. Luck is surface area. And surface area is a function of movement. The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean. That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.
@D9vidson

a moving man will meet his luck 🥀

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Baudouin
Baudouin@b_arbaretier·
In retrospect maybe all the crazy shipping anthropic did was thanks to Mythos Including the free 1M context length ! It may really be an exponential from there. Such crazy times it's so much fun
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Anicet
Anicet@AniC_dev·
introducing Ascii: The pocket CTO you send it voice memos on Telegram or instructions from your desktop then Ascii handles it all: > writes code and sends you demos, PDF reports and hosted builds when finished > orchestrates many cloud coding agents working in parallel that can plan, code, test and use their desktop > uses codex, claude code SDKs & subscriptions, no API keys required > works on multiple repositories at once > setups cron jobs and webhooks to schedule work when you sleep > supports secrets, git hooks, full cloud machines config with sudo & 60fps desktop access Welcome to a new era of software building where coding agents aren't mere assistants anymore, now they're as valuable and proactive as a world-class CTO, always at arm's reach, in your pocket
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Pierre-Baptiste Borges
Pierre-Baptiste Borges@pierbapt·
Can brands stop spamming us on WhatsApp? So intrusive. So out of place.
Pierre-Baptiste Borges tweet media
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The Economist
The Economist@TheEconomist·
For the first time in half a century, astronauts are going back to the Moon. Well, almost back there. For NASA’s Artemis II mission will not land. Discover how it could pave the way for the space agency’s future plans econ.st/41M1yCV
The Economist tweet media
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Julien Cadot
Julien Cadot@juliencdt·
Si je réfléchis trop à ce que ces trois infos sur le live Artemis II veulent dire, ça me terrifie.
Julien Cadot tweet media
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Trung Phan
Trung Phan@TrungTPhan·
Apple’s first CEO was named — you can’t make this up — Michael Scott. When Apple went public in 1980 (IPO valuation of $1.8B), Scott owned a 5.6% stake compared to Steve Jobs (15%) and Steve Wozniak (7.9%). He left Apple in 1981 and became world-renowned gem collector & expert.
Trung Phan tweet media
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Pierre-Baptiste Borges
Pierre-Baptiste Borges@pierbapt·
@patamiel @AnthropicAI S'affiche en français chez moi, sur un browser pourtant anglais ! Peut-être que Claude Code / Codex a préféré utiliser l'IP du visiteur, et voit que je suis en france ;)
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Patrick Amiel
Patrick Amiel@patamiel·
Pour celles et ceux qui suivent, le petit site web que j’ai fait en qq minutes via Claude @AnthropicAI (sans aucune connaissance de programmation) ne cesse de se développer - pages enrichies grâce à vos remarques - merci - trafic SEO et GEO en croissance pharmaciedechezy.fr
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Baudouin
Baudouin@b_arbaretier·
@Google @gmail please please make it come to EU and fix my childhood mistakes
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Google
Google@Google·
You asked, we delivered. If you’re a U.S. Google user, you can now change your account username for tools like Gmail, Photos, Drive and more — while keeping your emails, data and account history. Here’s what to know: 1️⃣ You can choose any available @gmail.com username. 2️⃣ Your old username will become an alias, so you won’t lose access to it. You can still sign in and send and receive emails with both usernames. Plus, you can also revert to your old username. 3️⃣ You can choose a new username once a year — up to three times total.
GIF
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Kevin Gee
Kevin Gee@kevg1412·
Just finished Sebastian Mallaby's new book on Demis Hassabis and DeepMind. It's essential reading for anyone who wants to understand not just where AI is going, but the kind of mind that’s shaping its direction. This book will be talked about for a long time to come.
Kevin Gee tweet mediaKevin Gee tweet media
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Ray
Ray@rincidium·
30 on-brand images in 2 minutes using Claude Code. Introducing the Bloom MCP 🌸 • Paste a URL. • Bloom learns your brand. • Generates assets that actually match it. Sound on 🎶 Free credits to the first 50 who comment "BLOOM".
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ARC Prize
ARC Prize@arcprize·
Announcing ARC-AGI-3 The only unsaturated agentic intelligence benchmark in the world Humans score 100%, AI <1% This human-AI gap demonstrates we do not yet have AGI Most benchmarks test what models already know, ARC-AGI-3 tests how they learn
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