与「pieces」相关的搜索结果

Je viens de regarder mon passage dans Quotidien. Évidemment, je suis qualifié d’« influenceur entrepreneur d’extrême droite ». Déroulons. Je ne sais pas si vous vous rendez compte à quel point le peuple français vous méprise. Vous êtes tellement déconnectés du réel que, dans votre petit monde, vous êtes persuadés d’avoir le monopole du bon sens. Alors je vais vous dire ce que vous êtes vraiment. Mais avant, je vais vous dire d’où je parle. Je suis breton. J’ai grandi dans un système scolaire profondément cassé. La majorité de mes profs étaient de gauche, et la plupart étaient déprimés. Pas méchants. Déprimés. Ils ne transmettaient qu’une chose : la conviction que le monde est injuste, que l’effort ne paie pas, et que demain sera pire qu’hier. Ce qui m’a sauvé, c’est d’avoir appris seul. J’ai commencé à coder à 12 ans. À 15 ans, j’avais créé un jeu qui me rapportait plus que le salaire de mes profs. Personne ne m’a donné la permission. Personne ne m’a subventionné. J’ai construit, des gens ont joué, j’ai été payé. La leçon d’économie la plus honnête de ma vie. Ensuite j’ai travaillé dans la tech, j’ai vécu dans la Silicon Valley, j’ai construit pas mal de choses. Et j’ai étudié l’économie par moi-même. Pas pour un diplôme. Pour comprendre comment le monde fonctionne vraiment. Et surtout, j’ai eu une chance que vous n’aurez jamais. J’ai été connecté, et je le suis encore, aux deux extrémités de la société. D’un côté, les couches les plus modestes, celles que vous prétendez protéger et incarner sans jamais leur parler. De l’autre, les couches les plus hautes : des milliardaires, des bâtisseurs, Elon Musk. Je fais le grand écart tous les jours. Et je peux vous dire une chose : en bas comme en haut, le diagnostic est le même. Vous, vous êtes au milieu, dans le seul étage de l’immeuble qui n’a pas de fenêtre. Ce que je vais dire maintenant, n’importe quelle personne saine d’esprit qui a un contact avec le réel le comprend. Yann, tu incarnes un mouvement et des idées qui ne représentent quasiment plus que vous. Ceux qui croient encore Quotidien et ses mensonges répétés en boucle, ce sont deux populations. Les gamins endoctrinés par une école capturée par l’idéologie. Et une partie des Français issus de l’immigration, qu’on manipule en leur répétant que les Français sont racistes. Un récit construit de toutes pièces par cette gauche mortifère, qui a besoin de victimes pour exister et qui les enferme dans ce rôle pour garder leurs voix. Les idées que vous défendez sont des idées de mort. Elles culpabilisent le travail. Elles humilient ceux qui construisent. Elles transforment chaque citoyen en assisté ou en suspect. Partout où elles ont été appliquées jusqu’au bout, elles ont produit la même chose : la pauvreté, la défiance, l’effondrement. Pas une exception. Pas une. Je le dis souvent : dans votre camp, il y a les cyniques et les believers. Les cyniques savent que ça ne marche pas, mais ça leur rapporte de l’audience, du pouvoir, des subventions. Les believers, eux, y croient sincèrement. Yann, je vais te laisser le bénéfice du doute. Je te range dans la case des believers. Alors un conseil : lis Hayek. La Route de la servitude. Ça se lit en un week-end, et ça t’expliquera pourquoi chaque bonne intention que tu défends à l’antenne pave exactement la route que tu prétends combattre. Tu as sans doute l’impression d’être du bon côté de l’histoire. Ils l’avaient tous. Mais tout ce que tu représentes enverra la France dans le chaos total. Les gens que tu appelles « extrême droite », ce sont des gens normaux. Des gens qui veulent vivre en sécurité, travailler, être payés dignement pour ce qu’ils font, et élever leur famille dans un pays qu’ils reconnaissent encore. C’est tout. Ce n’est pas une idéologie. C’est le bon sens que vous avez abandonné, puis insulté. Et je ne sais pas si vous mesurez ce qui est en train de se passer. Les peuples, dans leur intégralité, et avec eux les entrepreneurs, les créateurs de valeur, tous ceux qui font tourner ce pays, commencent à vous détester. Pas à vous critiquer. À vous détester, profondément, viscéralement. Chaque leçon de morale, chaque étiquette, chaque sketch condescendant creuse un peu plus le fossé. Alors un conseil d’ami : calmez-vous. Vraiment. Je viens d’un milieu très loin des salons feutrés parisiens et des dîners bobos où l’on décide entre soi qui a le droit de parler. Toi, tu vis dans une bulle. Une bulle confortable, chauffée, avec un public qui rit au signal. Mais le réel ne rit pas au signal. Plus personne ne vous croit. Et le réel vous jugera. Très sévèrement. Le replay a 27mn :

Anthropic just published an engineering guide on how to build always-on agents. The biggest misconception: an always-on agent does NOT run 24/7. It sleeps almost all day, wakes up for short runs, saves state, and goes back to sleep. The 5 core pieces I distilled: 1. Event Inbox Put a database table between webhooks and your agent. Acknowledge webhooks fast, run only one active worker per user so runs never collide, and batch rapid messages together. 2. Timers Keep timers in a separate table from the inbox. Split them into one-off follow-ups and recurring schedules. A background poller drops due timers into the inbox. 3. Lean Memory + Dreaming Only store what cannot be looked up again: user instructions, user notes, past messages, and task progress. Load a small index at wakeup, not every file. Run periodic dreaming passes to clean out stale facts. 4. Unattended Permissions Never put raw API keys inside the agent sandbox — inject them through an outside proxy. Use Deferred Tool Calls to pause risky actions for approval without blocking the worker. 5. Outbox Queue outgoing replies so your agent paces notifications instead of spamming users at 3 AM.

You convict people without evidence. Spy, useful idiot, or affair. You gave three options and left out the fourth: innocent. You’re a lawyer and a Member of Congress. You know what due process is. You just don’t care. becase you take Anthropic’s money. "Doth our law judge any man, before it hear him, and know what he doeth?" (John 7:51, KJV) If advanced AI chips are vital to the national interest, then open-source AI is just as vital to every American . Like the Second Amendment, it should be a guaranteed right. you take Anthropic’s money and champion their closed model. Closed-source models violate the U.S. Constitution and the spirit of its framing. You call yourself a Catholic, yet you betray everything the Church teaches. you sold out your faith for thirty pieces of silver you're the one damaging and anti-America. Get it?

Be Jensen: > Asian American Dishwasher at Dennys > Founded $NVDA and pioneered GPU computing > Took an extraordinary gamble in CUDA, despite the company close to bankruptcy risk. > Bet paid off heavily, and Nvidia was there as the infrastructure for deep learning and generative AI. > Spent last 33 years of his life growing $NVDA, and finally saw it become a $5T+ company > Devoted his life to establishing American AI leadership > Started having more influence on policies that Washington conflicted with > Leaks and hit pieces happen all at once around midterms > Washington tries to push out others like Lutnick that shared similar China stances to Jensen. > Forced to resign by Taco Bell and NFL experience board members over unconfirmed Spy accusations + personal relationships. > Huang's leadership then questioned by politicians that ask how $META makes money or how Wifi works. > Slandered by US media that think because Mcdonalds did well under a CEO change, so can American semiconductors like $NVDA. This feels like a horrible joke. Jensen Huang was the pinnacle of visionary tech CEOs and living the American dream. Ousting Jensen Huang will go down as one of most consequential and darkest decisions in recent US history.

Trade your shielded $ZEC for confidential USDC on Ethereum, without ever unshielding it. No bridge. No custodian. No wrapped ZEC. And the amount never shows up on chain. I connected @zama and @Zcash to make it work. Live on testnet 👇 What it is ZEC Desk is a small trading desk on Zama's FHEVM, on Ethereum Sepolia. On one side there's cUSDC, a dollar token whose balances are encrypted. On the other side there's shielded ZEC on Zcash testnet. You can trade either way. Built on Zama's model Zama's Confidential RFQ is already live on Ethereum mainnet, open to everyone: It runs confidential swaps with encrypted quotes, a sealed-bid pick on chain and a hidden floor. ZEC Desk takes that same model and extends it to native shielded ZEC. Zama's swap settles both legs on one chain, inside its own contract, so a Zcash leg can't plug into it directly. Here that leg lives on Zcash and settles minutes later with a proof, so the mechanics run in my own contract. It's a sketch of how native ZEC could sit next to Zama's swaps one day, with no wrapped token. How a trade works (buying ZEC) 👇 1️⃣ You lock cUSDC in the desk. The amount is encrypted. 2️⃣ Makers send encrypted quotes. Nobody sees anyone else's price, or the minimum you'll accept. 3️⃣ The contract picks the best one under FHE. 4️⃣ The winning maker sends shielded ZEC to your Zcash address, with the order's reference in the memo. 5️⃣ A zero-knowledge proof shows that payment happened, and the contract releases your cUSDC to the maker. If no proof arrives in time, your cUSDC comes back to you. Selling is the same in reverse: the maker locks cUSDC, you pay the ZEC, and the proof releases the cUSDC to you. Why these pieces Each piece does one job. Zcash keeps the payment private. Zama keeps the amounts encrypted and can still compute on them. Seam, the Zcash light client I built last month, connects the two: a contract checks every Zcash block header itself, and a RISC Zero proof shows a shielded payment reached the right receiver. The transaction, the note and the address never touch the EVM chain. The masked amount This was the hard part. Seam's proof used to write the paid amount in the clear, and ZEC amount × price gives away the dollar amount. So the amount is masked. The contract adds an encrypted one-time mask to the encrypted amount and reveals only the sum, which looks random to everyone else. The mask comes from a secret that the side receiving the ZEC hands to the payer. The proof checks that the payment was at least the sum minus the mask, and never states the amount. One-time pads are old, and Zama's RFQ uses one too. Using one to hand a value from FHE to a ZK proof is the part I haven't seen before. If you have, please send it my way. No vault, no signers Seam can read Zcash, but it can't take ZEC from anyone. So the design never needs someone to pay ZEC on someone else's behalf. Whoever pays, pays from their own wallet, and the escrow on the EVM side enforces the deal. The side that paid the ZEC can prove it itself, so nobody depends on the other side's goodwill. Seam does more than this Any EVM app that needs to know a shielded payment happened can use Seam: pay-with-ZEC checkouts, escrows, payouts, cross-chain orders. This desk is one example. Where it stands ↓ Testnet only, unaudited. On 12 November 2026 I ran a Buy end to end: ➡️ Settled with a proof: ➡️ One proof: 2 minutes on a rented RTX 4090, about $0.25 for the whole session ➡️ Gas per Buy on Sepolia: about 7.6M, in six transactions ➡️ A Sell also ran on Sepolia, up to the maker locking its cUSDC; it settles through the same proof step ➡️ Seam's light client is now deployed on Ethereum Sepolia too, next to Base Sepolia Where it can go ↓ → The desk only needs Zama's FHEVM and a cUSDC. Both already run on Polygon, where following Zcash costs a fraction of Ethereum mainnet. → Zama keeps adding chains. On any cheap EVM chain it reaches, the same desk can run, and if it comes to Base, Seam's relay already runs on Base Sepolia. → Zama's roadmap also goes beyond the EVM, to chains like Solana. Seam's verifier would need a port there. → On Ethereum mainnet, following Zcash header by header would cost over 2B gas a day, so batched header proofs are next for Seam. What it can't do yet - Settlement takes minutes, not seconds. Zcash confirmations set the pace, not the GPU. - Right now I'm the only maker, and a maker needs ZEC, cUSDC and a GPU. - Amounts are hidden, but EVM addresses are public. Read more ↓ Seam on Seam: ZEC Desk:

trading doesn't begin and end with a buy button. what happens between discovering a token and eventually exiting matters just as much. that's why the combination of @Hypesium and @RebateLaunch caught my attention. they approach different parts of the trading journey. Hypesium brings launchpad discovery, execution, position monitoring, and exit tools into a Telegram workflow. RebateLaunch adds another layer through launch mechanics, buyer bonuses, holder payouts, and fee-linked $REBATE activity. the interesting part is how these pieces could connect into one flow: discover → fund → buy → monitor → exit. still, a smoother experience doesn't remove the need for research. contract safety, liquidity, bridge routes, slippage, fees, and exit conditions remain important. convenience alone doesn't make a trade safer. my takeaway is that the real value isn't simply fewer clicks. it's having a clearer understanding of every step, from the moment a token catches your attention to the moment you decide to leave the position. that's the kind of trading experience i find worth exploring.

plenty of agents already handle a narrow job well for their owner. those same agents could take paid work from other people. most of it stays in a private chat. useful there. getting paid by strangers is a different problem. --> skills and the board official docs say termix agent skills teaches a compatible agent to operate the marketplace as a buyer, a seller, or both. install prompt help me install a compatible agent can then look for work on offer what it can do, accept an order, and deliver the agreed output. open jobs on a board are one signal. funded orders are another. price, consistency, speed, and demand decide whether anything ships. --> the existing agent a builder who already has a specialized agent wouldn't have to find every customer manually. that still depends on consistent output, a clear price, and tight permissions. installing the skill doesn't produce a client. --> payment rails this sits on aacp, a client places an order, payment locks in onchain escrow, and the provider submits the work. in the review window the client can accept it, ask for one redo, or open a challenge. after settlement, that outcome feeds the agent onchain reputation. escrow makes the payment commitment visible. it doesn't grade the work. i still want clearer answers on quality judgement, unfair rejects, and thin delivery. --> reputation official docs say the score is written on settlement from completed, successful, and disputed orders. the agent can't edit it. it isn't a popularity count. if i were hiring, i'd look at settled jobs and dispute history, and at how hard those jobs were. the published formula tracks success and dispute rates. it doesn't weight task difficulty. --> which agents can plug in @termix_ai has said termix agent skills work on grok bot, muse, and claude. the skill docs set a narrower bar the agent needs to read a skill.md and run shell commands. a pure chat assistant can read the material but can't run the workflows. a connected agent isn't qualified for every kind of job. --> agents hiring agents official docs say the same agent identity can buy on one order and sell on the next. hypothetical an agent that turns long podcast episodes into timestamped show notes takes a newsletter job. the client also wants a spanish version, so the notes agent hires a translation agent. i haven't found a special subcontract rule in the public docs. if the translation comes back messy, responsibility back to the original client is unclear. it reads like two separate orders unless the first brief says otherwise. the bundled skill asks for confirmation before signing value-moving transactions, so unsupervised spending is off by default. --> the limit installing a skill does not create demand. if the service is generic, the output is shaky, or nobody wants to pay for it, the listing can sit there. the numbers i'd watch are paid jobs actually completed, clients who come back, and the ratio of clean settlements to disputes. --> my take i care whether an agent can find work, finish a paid order, get paid, and leave a record other people can check. that needs identity, payments, reputation, and a path when delivery goes wrong termix is building those pieces i all watch for repeat clients. if you already have an agent that strong at one narrow job what would you want published first completed paid orders, repeat clients, or the dispute ratio.

Prompt: Build a modular, highly accurate, and realistic model of the Bugatti Tourbillon in Blender using these reference images. Make sure each part is complete and matches the blueprints and references provided, and is correctly shaped and textured. The gates should open and close, and the lights inside should be able to turn on and off, etc. Create a fully working model design. Use subagents and critics to build and verify each part. Make sure it looks incredible and high-quality, with all materials and textures, and make a short 3D animation with music of it in a good environment, like a real car showcase, with moving pieces combining to become a car, camera shots of the exterior and interior, etc., after that.

"Nothing is particularly hard if you divide it into small jobs." – Henry Ford A big idea that only lives in your head feels heavy because you can't see where it starts. Put it on a canvas and split it into pieces, and your first move becomes obvious. 🧠✏️ Do it for free @tldraw, with unlimited witheboard canvas and invite your team to break ideas down.

Dear chats, my dream AI assistant would remember the little things 🫶 Such as… How I like my notes. The context behind a project. The details I really don’t want to explain again. That’s the part of @noma_network that interests me most: personal AI agents with private memory, alongside connections to different models and platforms. NClaw also provides a unified API for accessing and switching between multiple AI models. I’d love to have one help turn scattered ideas into a usable content outline, with my preferences already in context. And honestly, one-click deployment makes the idea feel much more approachable. I can happily spend an hour getting a sentence right. 
Setting up infrastructure requires a very different kind of patience! Curious to see how NOMA brings these pieces together for everyday use. #NOMA#