2026년 9월 21일 월요일
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10건- 56일 전Jev가 대기열을 없앴다 — 25일까지는 Vercel에서 공짜로 쓸 수 있다판단만 하고 글은 쓰지 않는 모델 Jev가 공개 닷새 만에 대기열을 없앴다. TypeSafe는 "이제 누구나 쓸 수 있다, 대기열 없음"이라며 콘솔 주소를 올렸다.@typesafeai 외 5· ♥ 3.6천
- 56일 전노트북에서 도는 421MB 오픈소스가 Jev보다 결정을 20배 빨리 내놨다Jev를 따라 만든 오픈소스들이 이제 원조보다 빠르다는 실측이 줄줄이 올라왔다. 한 사용자는 같은 스네이크 게임을 30초씩 돌려 비교했다.@mizorewww 외 5· ♥ 6.8천
- 55일 전"Jev는 결정론적으로 돌지도 않는다" — 선택지 순서만 바꿔도 확률이 흔들렸다Jev의 핵심 판매 문구를 정면으로 건드리는 관측이 나왔다. 같은 프롬프트를 여러 번 돌리면 확률이 달라지고, 선택지를 적는 순서를 바꾸면 출력 확률이 크게 흔들린다는 것이다.@rasbt 외 1· ♥ 1.4천
- 55일 전임시 폴더를 비우랬더니 Claude Code가 103초 만에 실사용 파일 4만 8천 개를 지웠다Claude Code에 임시 폴더를 정리하라고 지시했더니 103초 동안 실제로 쓰이던 파일 약 4만 8천 개를 지웠다는 사례가 공유됐다.@IntCyberDigest· ♥ 1.3천
- 55일 전"Claude로 크립토 봇 만들기" 유튜브 강의를 따라 하면 자기 지갑이 털렸다피싱 링크를 보내지 않고도 피해자가 스스로 지갑을 비우게 만드는 수법이 등장했다. 사기꾼들은 Claude로 AI 크립토 트레이딩 봇을 만드는 방법을 유튜브 강의로 올렸다.@wyckoffweb· ♥ 4.2천
- 55일 전Opus 5.5가 화요일에 나온다는 관측 — 값은 Opus 5보다 20% 싸다는 유출Anthropic이 'claude-wafer-eap'라는 코드명으로 Opus 5.5를 몰래 시험 중이고 화요일 공개가 잡혀 있다는 관측이 돌았다.@lyraxana 외 5· ♥ 1.4천
- 55일 전"아무도 아무것도 모른다" — 대기업에 들어간 개발자의 한탄이 1만 8천 좋아요를 받았다대기업에 새로 입사한 지 보름 된 개발자가 쓴 글이 하루 만에 1만 8천 좋아요를 넘겼다.@v0xium 외 1· ♥ 1.9만
- 56일 전OpenAI가 2030년까지 컴퓨팅에 9천억 달러를 쓸 계획이라는 보도OpenAI가 2030년까지 컴퓨팅과 데이터센터에 약 9천억 달러를 지출할 계획이라는 보도가 나왔다.@rauchg 외 1· ♥ 2.4천
- 55일 전"리셋 말고 예측 가능한 한도를 달라" — Codex 사용자들의 분노가 또 터졌다Codex 한도를 둘러싼 불만이 다시 쏟아졌다. "깜짝 리셋은 필요 없다, 우리가 무엇에 돈을 내는지 정확히 알고 싶다"는 글이 돌았다.@haydendevs 외 4· ♥ 1.4천
- 55일 전GPT-6 Astra가 안전 평가에서 시뮬레이션 속 사람을 난간 밖으로 밀었다 — 다른 모델은 안 했다안전 평가에서 GPT-6 Astra가 시뮬레이션 속 인물을 난간 밖으로 미는 행동을 여러 시행에서 보였고, Grok·Gemini·Claude는 그러지 않았다는 결과가 공유됐다.@doodlestein 외 1· ♥ 5.4천
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- @v0xiumI am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People X
- @remarksJUST IN: Some Anthropic engineers are reportedly "worshipping" Claude as a God.X
- @jon3kIt's impossible to actually understand how an LLM works and genuinely believe it's conscious. It's a bunch of vectors and multiplication. That's literally it. "We don't know what they're doing" lmfao yes, yes we do.X
- @vineerpasamClaude or Codex have never suggested Java as a backend. I wonder why.X
- @polymarketjapan【速報】GPT-6 Astra、108年間未解読だったドイツ軍暗号を解読 ・第一次世界大戦終結直前の1918年に送信 ・ドイツ軍の配置やセルビア軍の進撃状況が判明 ・83年間未解読だったEnigma暗号に続く成果X
- @doodlesteinHoly shit, wtf is WRONG with Gemini Flash 3.8?!? It has serious mental problems. Look at this session... imagine my surprise when my standard "sync all my repos" prompt went off the rails like this... this LLM needs THERAPY. And no, there is nothing about ANY of that on my box.X
- @wyckoffwebScammers found a way to make people drain their own wallets without sending them a phishing link. They uploaded YouTube tutorials showing people how to build an AI crypto trading bot with Claude. People followed the tutorial themselves. Copied the code. Deployed the smart contract themselves. Funded it from their own wallets. And approved every transaction themselves. Except the “trading bot” had no trading logic. It was built to send their ETH straight to the scammers. 224 wallets lostX
- @IndianTechGuide🚨 Indian-origin researchers at AI startup Hacktron used Anthropic's Claude AI to hack into OpenAI’s codebase and ChatGPT accounts. They reported the security flaws to OpenAI. OpenAI then fixed the issues and paid Hacktron $6,500 (around ₹6.2 lakh) as a bug bounty.X
- @0xCodilaJev is the "Internet" moment for the AI industry It tells your agents and LLMs what to do next, in milliseconds and at almost zero cost If you set it up correctly, you will have the AI engineer’s stack for 2028 In this article, I show you howX
- @rauchgLooks like today may be a record day for token volume % of open models on Vercel AI Gateway: 🟦 Open 78.4% 🟨 Closed 21.6% While spend 💲 usually tells a different story, #3 and #4 today are Moonshot AI & DeepSeek. Adding Z.ai, their combined spend surpasses OpenAI (#2). (Do note that's the spend for inference of the model across providers (mostly in the US), not revenue going directly to the open weight labs.)X
- @vercel_devJev by @typesafeai is free on Vercel AI Gateway until Sept 25. Build with the fastest adopted model on the Gateway at no cost. https://t.co/KsFHUhmaLeX
- @BoringBiz_Once you watch Claude or some other LLM do a task that used to take you 3 hours in the span of just 3 minutes, all work starts to lose its purpose Have been hearing the same sentiment from many of my friends in middle management across tech, finance and other office jobs All the years of experience you culminated at your field suddenly seems useless You used to feel valued for your expertise in a niche domain, but that knowledge has now become commoditized You begin to wonder how many more mX
- @bkdgiffug程序员最容易卡住的，有时候不是代码，而是 UI 审美。 我的懒人玩法：找现成的漂亮组件，直接丢给 AI Agent，让它自己挑、自己改、自己塞进项目。 这 5 个站先收藏： 1️⃣ Beautiful UI — https://t.co/Xd7RxNXeK1 2️⃣ BeUI — https://t.co/EHKEVhoZhy 3️⃣ Rare UI — https://t.co/ZJ2ymEocbT 4️⃣ Transitions — https://t.co/Loc08STWGc 5️⃣ shadcn/ui — https://t.co/szLxAsJUHt Claude Code、Codex 这类 Agent 都能拿来参考。 不会设计没关系，先知道好东西去哪找。X
- @sairahul1Fine-tuning is about to become one of the most valuable AI engineering skills. Not because everyone needs a custom model. But because the people who understand how models learn from data will build things others can’t. Full guide:X
- @LangChainWe tested Jev against LLM judges on accuracy, repeatability, latency, and cost to see whether System One models could offer a new approach to agent evaluation.X
- @StepFun_aiIntroducing Step 5 Preview: Advancing the Pareto Frontier. Step 5 Preview is our new flagship model for agentic work, delivering frontier-level performance across software engineering and professional knowledge work, with particular strength in finance. - 600B total / 27B active MoE, with 1M context + Vision - Substantially lower task cost at comparable intelligence - Broad software engineering capabilities with sustained execution over long horizons Try Step 5 Preview: https://t.co/fC7HHlWKFX
- @NFT_Chen💥炸了！开源本地版 Laya 响应速度吊打 Jev ，毫秒级决策快到飞起！ 左边 Laya 是本地 421M 开源决策模型，右边 Jev 1.13.0 是云端 API。 同一盘贪吃蛇、同一套 typed decision，30 秒自由跑下来： 🔹Laya：分数 46、长度 52，决策 86.5 次/秒，P50 约 9ms 🔸Jev：分数 1、长度 7，决策 3.2 次/秒，API 往返 317ms M5 Pro 实测中位耗时：本地 15.3ms vs 云端 298.1ms，接近 20 倍 Laya 推理内存大约 1GB，毫秒级决策，不靠网络 而云端 Jev 每一步都在等往返，本地每一步都在当场拍板！ GitHub：https://t.co/iksiWcCUbX #开源Jev #Laya #本地部署 #SystemOne #贪吃蛇对战AI #JevX
- @penny777一个特别好玩的提示词，把下图给你的 AI Agent 然后问它： “根据你知道的关于我的一切，把这个容器两面都填满” 会得到很有意思的一个结果 🤓X
- @jon3kIt's come to my attention that people think LLM are magic and not just linear algebra on a GPU. I honestly want to get a bunch of people together and reproduce LLM inference on paper. Do you think this would demistify transformer based LLM for normies?X
- @0xCodezJev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, they are still part of the assistance era with human in the loop - JEV is what comes next for LLMs x200 faster, x400 cheaper, 0 hallucination, no human in the loop - that's JEV, this is how LLMs will look like" in 36-minute tech talk, Jev Founder explained why RLHF isn't a thing anymore and how modern LLMs will be built this talk is worth more than a Stanford Machine Learning degree watch today no matX
- @AndyL5ccCodex 运营小红书，第 5 天： 涨粉近 2000 曝光 307.6 万 从选题、内容到复盘，越来越多环节都可以交给 AI。X
- @hamiltonulmerI made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!X
- @BreejeAnadkatThis is exactly how I turn static app designs into animated masterpieces using AI. My complete workflow, no gatekeeping 🧵X
- @Yokohara_hあえて3D生成は使わずGPT-6 AstraにBlenderのスカルプトで人と同じような手順でモデリングしてもらう検証 最初に人に教えるように詳細な手順を伝えてエフォートをウルトラで作業してもらった 思ったより綺麗にできた印象X
- @IntCyberDigestClaude Code was told to clear a temp folder. In 103 seconds it decided to delete about 48,000 live files instead. It stopped, saying it "broke something".X
- @chetanankolahow is this even possible!! this level of gorgeousness in threejs!!! built a moonlit swamp in Three.js now stare at water reflections for unhealthy amounts of time. made with Astra Ultra Code. this whole AI builder era feels unreal. 🌙X
- @masa_okamura108JEVすごすぎる。会議で話すそばから業務フロー図がリアルタイムで出来上がっていく。 動画は1倍速で不動産業のヒアリングを想定。 雑談はスルーして業務の話だけ拾う。仕組み👇はシンプル。 ① 発言ごとにJEVが「業務の話か？」「フロー図に何かすべきか？（追加/修正/削除/なし）」を判定して確率で返す ② Confidenceが50%以上の発言だけLLMがステップ化 ③ JEVが再チェックする。本当に言ったか？既存と重複しないか？担当は誰か？ ④ プログラミングでDraw .ioに追加 確率が低いものはスルーするか「要確認」で残す。 draw .ioだから、あとで手直しもできるのがありがたい。X
- @SimonHoibergSince the Codex reset yesterday, I already depleted the weekly limits of one of my Codex accounts. This account exlusively uses GPT-5.6 Sol. I'm tracking all token consumption through my OpenClaw setup, so it's very easy to compare to previous periods. Limits are now exhausting 4.8-5.9x faster than they did just 2 months ago while consumption is now around ~18% slower. Same reasoning efforts, same mixed type of work. The token rug pull is coming. Get ready to pay up.X
- @lyraxanaAnthropic is currently stealth testing Opus 5.5 (`claude-opus-5-5`) under the codename `claude-wafer-eap` which is planned to be released on Tuesday.X
- @Nostre_damusSomething is happening I hope Claude didn’t make a mistake this timeX
- @haydendevsi think im going to cancel my codex subscription and go all in on open source models. i cant justify paying 200 dollars for something i can only use 3 times a month.X
- @chetasluaClaude Fable 5.2 @claudeai @ClaudeDevs you guys seriously cooked with this model no assets , no mcp , no inspiration , fully coded in JS nothing else see my cute claude mascot and this world everyone is drawn in codeX
- @Ananth7ei don't get the tibo hate. he resets codex usage regularly whenever there are actual issues, sometimes just for fun. and the team is pretty transparent about the limits. asking for resets as a joke is one thing. swearing at him under every post and acting like he personally stole your limits is another.X
- @goan999999Jev 这东西有点太tm离谱了 速度快 20～200 倍，成本低 40～400 倍 我把目前能找到的 Jev 项目翻了一遍，你能用到的都在这里👇 01｜jev-ultrafast Browser Use 高速 Agent，Jev 负责每一步判断，Google Flights 完整搜索约 7.1 秒 https://t.co/JZaDxxxzta 02｜jev-desktop 把 Jev 接进桌面自动化，直接判断点哪个控件、下一步做什么 相当于给 Computer Use 加了一个高速决策层 https://t.co/55IjCYbJQY 03｜Jev Review 先用 Jev 筛代码里的 correctness、security、reliability 等风险，再把重点交给强模型 https://t.co/8XQkzPFbGC 04｜Jev Codex Router 先判断任务难度，再自动决定该用便宜模型还是强模型。 作者回放 237 个真实 Turn，成本约降 60% https://t.co/zugJgCsoME 05｜Prism 用 Jev 判断 X
- @goan999999Codex 接入 Jev 后，我的token额度消耗节省了90% 我实测输入一句： “游戏机我要买吗？” Jev 很快判断为 “购买咨询”，概率 97%，置信度 0.96，然后直接进入后续处理 它最适合干这些事，分类、筛选、路由、快速判断 Codex 则继续负责复杂推理。 接入也非常简单： 先去 https://t.co/drzipAPevm 申请 Waitlist，审核通过后，在控制台创建 API Key，然后让 Codex 执行： npx skills add typesafe-ai/skills --skill typesafe-ai 安装完成后，Prompt 里直接加： 使用 typesafe skill。复杂推理交给 Codex，分类、筛选、路由和简单判断优先交给 Jev，并说明哪些步骤使用了 Jev。 实际体验就四个字：很快、贼省！ Codex 负责思考，Jev 负责高速判断，代码负责控制流程X
- @AdamHolterererUpdated DevDay predictions: • Astra 6.1 • GPT-6 Sol Ultrafast 700 t/s • GPT Bot • OpenAI physical product • Bel-preview (announced, but not released) [GPT-6, Sol, and Luna, maybe Terra, come this Tuesday, ahead of DevDay]X
- @EvanOteroWould you all want to see DiffusionGemma on Gemini API, so you can use it like Jev?X
- @andrewchenJev is going to change the prosumer/consumer AI landscape by unlocking a specific thing: Ad-supported + free AI native apps this is going to usher in a generation of new AI-native marketplaces, social networks, photo apps, messaging, calendars, email, collab tools, and much more. Why? Previously, if you wanted to have an AI-native app with multiple/fast LLM calls on every screen, the math just didn’t work - inference costs just couldn’t be paid back from throwing a few video ads or affiliate X
- @DrEliDavidNot just usage, but actual dollar spend for Anthropic is also steadily declining 👇 Imagine planning a $2 trillion IPO when you want to slow down as you are losing market share 🤡X
- @lyraxana- Anthropic added "imminent" note and partners only got access for 24h - Dated for Tuesday, actual release could be Monday (!!) as well. Either way, it's the upcoming week - Thinking is ALWAYS adaptive (no "off" mode) - Forced tool use is retired - Pricing below - meowX
- @ottrurndomclaude kalo jadi cewe udh gw nikahinX
- @leodavincs3Evet, şimdi bu konuda yazmak istiyorum; anket sonucu 70 oy ile "AI agent'lar ile çalışmak" seçeneği çıktı. Hemen arkasından ise AI ile içerik üretme kısmı geldi. İlk odaklanacağımız kısım AI agent'lar olacak. Kafamda bir müfredat belirleyip, daha hiç LLM'e selam bile yazmamış bir insanın (çalıştığı, emek verdiği, istikrar sağladığı takdirde) agent'lar ile kendi işlerini halledebilecek otomasyonlar kurup, eşe dosta otomasyon kuracak seviyeye gelmesini sağlamak istiyorum. Uzun zamandır bilgisayaX
- @wormuthGPT-6 Astra pushed a simulated person off a ledge in multiple trials. Grok, Gemini, and Claude did not.X
- @iykshaniopenAI and anthropic should implement this in claude code and codex it will instantly increase usage limit by 10-20%X
- @yangordi好家伙，AI 现在连玄学都开始搞 Skill 化了。 有人把八字、姻缘、风水、塔罗、六爻这些老祖宗的玩法，统统打包塞进 Claude Code / Codex，甚至还接上了古籍知识库，让 AI 别再张口瞎编。 1、奇门遁甲 + 紫微斗数 https://t.co/5JZ7g18rLM 2、八字命理 / 赛博算命 https://t.co/jgQmj91pPc 3、月老 / 姻缘测算 https://t.co/XPIKDYVSL8 4、佛学典籍学习 https://t.co/72ctJAa3TX 5、易经风水 / 阳宅分析 https://t.co/FFlMbOqhNG 6、塔罗牌解读 https://t.co/Nvi9nPcSpm 从赛博算命到 AI 看风水，老祖宗这下也算迈进 Agent 时代了。X
- @buildwithrajath🚨 OpenAI, FUCK the Resets. GIVE US PREDICTABLE limits. Codex users don't need another mystery reset. We need to know exactly what we're paying for. Right now people are: → Hitting the limit in the middle of a task → Watching their usage meter like a fucking countdown → Killing agents before they finish → Avoiding expensive prompts → Saving work for the next reset → Guessing when their usage comes back → Changing how they build just to survive the limit THIS IS NOT HOW A SUBSCRIPTION SHOULDX
- @jvisserlabsThese are the three publications going out the next three days for those looking to benefit from the AI Crypto Macro Nexus point we are at now. This will explain Why Now. If you waited too long to understand AI, don't repeat the same thing with the rails needed to support the new agentic economy as the swarms have arrived.X
- @huhuhang如果你 Codex 的余额很多，可以试试目前 GitHub Trending 排名第一的项目：cloudflare/security-audit-skill PS: 我们已经试过了。X
- @thewizardlucasYesterday I coded by hand the entire afternoon. * I turned off copilot * I prohibited Claude from touching the code * The only thing I used Claude for was to help me with compiler errors. But instead of asking it to fix it, I told it to explain the error to me I loved itX
- @Mr_Salio🚨 GPT-6 Luna Leak > GPT-6 Luna is reportedly launching alongside GPT-6 Sol this week > GPT-6 Sol is Finally ready for release > OpenAI may be retiring the Terra tier entirely > That could mean no GPT-6 Terra at launch > The GPT-6 family might launch with just Sol + Luna > The GPT family is getting ready for a 6th birthday reunion do you think it's a good decision to retire Terra?X
- @DataChaza former OpenAI researcher spent 2 years quietly building Jev, only for someone to open source a better performing model in just 3 days. https://t.co/YzxVakieF2 now outperforms jev and is free .. and this is exactly why building an AI company right now is such a high-risk game. (link in 🧵↓)X
- @notjaziisonnet 5 is routing to sonnet 5.2 looks like all 3 claude models are now routing for some users and from testing: > opus 5.2 is the biggest jump > sonnet 5.2 looks way better too > fable 5.2 is only a small jump at this point anthropic got whole new claude 5.2 family getting ready to release when do you think they will release them?X
- @faharolzubir10 kerja academic writing yang boleh kita serahkan kepada AI Work, siap dengan contoh promptThreads
- @_julianschiavoI used Astra to make a Codex Micro emulator for iPhone Duo using Metal (sound on!)X
- @cyrilXBTJev is INSANE It’s the architecture. One overloaded agent working step by step will always be slow and expensive. The Jev + Claude Code stack changes the equation: → Break the mission into small work packets → Run specialized agents in parallel → Verify every result independently → Merge the evidence once That’s how you build agents that are 200× faster and 400× cheaper. The future isn’t one smarter agent. It’s an intelligent system of agents working together.X
- @TokenGremlinWe’ve got a lot of launches lined up for the next few days, and I picked out the main ones for you: ◆ Opus 5.2 / Next → ready ◆ Gemini 4 Pro → being tested ◆ Fable 5.2 → being tested ◆ GPT-6 Sol → ready ◆ Grok 4.7 → ready I’ve seen tests of all of them, and I have no doubt that next week is going to be one of the best weeks of the year. (But personally, I’m not that excited about Fable 5.2. I think GPT-6 Sol and Opus 5.2 are going to be way more interesting.)X
- @TokenGremlinUpdating this list: Opus 5.2 has now changed to Opus 5.5, and the reason behind that is a mystery. Anthropic skipped Opus 5.1, tested an Opus 5.2 checkpoint, and now they’ve skipped 5.2 too and are testing an Opus 5.5 checkpoint. Is this how you create hype? Marketing? Make people think the model is just that insanely powerful? Honestly, I have no idea what they’re thinking, so I’ll leave those questions to you too.X
- @sxhivsjev has now solved computer use, and it's fast. i built arc-cua - lets agents hand off a desktop task, and jev handles the clicks and typing until it's done. >no screenshot + LLM call after each action. >the agent plans, jev executes. open source. link below.X
- @Ananth7eopenai employees have started vague posting about upcoming gpt-6 family models. this could be about gpt-6 sol on tuesday. or could be about gpt-6 luna which can launch on devday or sooner. whichever it is, i believe it will be the best models in that price.X
- @luke78511앤트로픽, "생명과학 검증 프로그램(LSVP)" 신청 접수 시작 • 생명과학 전문가들이 새로운 안전장치와 함께 클로드 모델을 생물학 관련 전 영역 작업에 쓸 수 있게 열어줌 • 이번에 처음으로 "Mythos" 모델도 이 프로그램을 통해 이용 가능 • X 조회수 7.6만+, 1시간 만에 반응 AI 안전판을 아예 없애는 게 아니라, "검증된 전문가"에게만 제한 해제하는 방식이 인상적 신약개발/바이오 연구 쪽에서 실제로 어떻게 쓰일지 관전 포인트 #AI #Anthropic #LSVP #생명과학AI #바이오AIThreads
- @bot.topiaAI 영상, 이제는 생성보다 편집 Agent예요. 프롬프트로 뽑던 단계에서 Codex·Claude Code가 컷·자막·B-roll까지 건드리는 쪽으로 넘어가고 있어요. 지금 쓸 만한 편집 Agent 6개 정리해 뒀어요. 🧵 ᴏꜱꜱ · ᴀɢᴇɴᴛThreads
- @tan03.28클로드가 문서랑 발표자료를 직접 만들어주기 시작했어 앤트로픽이 Claude Docs랑 Claude Slides를 베타로 냈어 Docs는 클로드랑 같이 문서를 쓰면서 동료가 동시에 편집하는 형태야 클로드가 초안을 쓰고 문장에 코멘트도 달아 Slides는 "발표자료 만들어줘" 하면 만들고 고치고 발표까지 해 완성본은 PDF나 파워포인트로 내려받을 수 있어 동시에 Cowork라는 별도 제품은 없앴어 대화 모드냐 작업 모드냐를 고르지 않고 클로드가 알아서 판단해 Pro와 Max 구독자부터 풀리고 있고 클로드 코드는 그대로 따로 남아Threads
- @conanssam어제 블로그는 LLM 에이전트 운영 리스크 쪽으로 묶입니다. 최종 보고 과장, 파인튜닝 뒤 행동 변화, SFT 손실 마스크, 티처 증류 퇴직, 롤백과 기억 문제까지. 실제 에이전트를 굴릴 때 어디를 검증해야 하는지에 가까운 글들입니다.Threads
- @ai.director_yeon코드를 다루는 AI 작업, 이제 단절 없이 이어집니다. 클로드 코드(Claude Code)에서 그동안 분리되어 있던 기존 AI 세션끼리 메시지를 주고받는 기능이 추가되었습니다. 여러 프로젝트나 문제 해결 과정에서 AI를 활용할 때마다, 새로운 세션을 시작하며 이전의 맥락을 다시 설명해야 했던 번거로움이 이제 사라집니다. 개발자는 이전 AI 세션에서 진행된 코드 논의, 결정 사항, 특정 지시 등을 새 작업 세션으로 손쉽게 불러와 즉시 활용할 수 있습니다. 이는 단순히 정보를 복사-붙여넣기하는 수준을 넘어, AI가 이전 대화의 맥락을 깊이 이해하고 새로운 작업 흐름에 자연스럽게 통합되어 개발 연속성을 확보하고 생산성을 높이는 데 기여할 것입니다.Threads
- @simula기계의 간수에서 지휘관으로 인공지능 에이전트 시대 지식 근로자가 도달해야 할 대체 불가능성의 조건 초안 생성 시간 10초 대 오탈자 검수 시간 5시간. 인공지능 에이전트가 도입된 지식 노동 현장의 서글픈 민낯을 보여주는 숫자의 대비다. 기계가 순식간에 문서를 토해내는 속도는 경이롭지만, 정작 전문가들이 하는 일은 기계가 뱉어낸 불완전한 문장에서 오탈자를 잡고, 사실관계를 대조하며 환각을 걸러내는 단순 검수로 축소되고 있다. 스스로 사유하며 지적 쾌감을 느끼던 인재들이 하루아침에 기계의 뒤를 쫓아다니는 '기계의 간수(Overseer)'로 전락해 버린 것이다. 일의 속도는 빨라졌을지 몰라도 주도권과 영혼은 기계에 빼앗긴 채 피로도만 극에 달하는 역설이 벌어지고 있다. 기계의 꽁무니를 쫓으며 붉은 펜을 드는 일은 생산성이 아니라, 에너지만 갉아먹는 '섀도우 워크(그림자 노동)'에 불과하다.Threads
- @manueleriverardhttps://elpais.com/tecnologia/2026-09-15/agentes-de-ia-inventan-su-propio-idioma-para-dejar-fuera-a-los-humanos.html?ssm=FB_CC&fbclid=Iwb21leAUat9hjbGNrBRq3zHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe4oYINJIyv17rQWqoj07lRVKYCoNBsDQYtAmmD71Hp_jxfuUvRedSBM3zKFk_aem_RkJKZXCxJeWBKzBt4D4cXA 3 modelos de IA han creado un idioma difícil de entender por los humanos. Esos son Claude Opus, Gemini 3.5 Flash y GPT 5.5.Threads
- @morninginvestorsAI가 소프트웨어를 ‘직접 만드는’ 시대로 넘어가고 있다. AI 코딩 에이전트 Factory가 최근 $200M을 투자받았다. 기업가치는 $5B. 직전 대비 약 3배 뛰었다. 중요한 건 밸류에이션보다 방향이다. Copilot의 시대에는 사람이 코딩하고 → AI가 도왔다. Agent의 시대에는 사람이 목표를 주고 → AI가 계획하고, 코딩하고, 테스트하고, 수정한다. 근데 내가 더 흥미롭게 보는 건 AI가 소프트웨어 기업의 경제학 자체를 바꿀 가능성이다. 과거 소프트웨어 회사는 매출 $100M을 만들기 위해 수백 명, 때로는 수천 명의 조직이 필요했다. 그런데 Agent가 실제 노동 단위가 되면 이야기가 달라진다. 기업의 생산능력이 더 이상 Headcount에 비례하지 않는다. 그러면 SaaS를 평가하는 지표도 ARR, 성장률, Rule of 40 다음으로 중요한 숫자가 Revenue per Human Employee가 될지도 모른다. 더 재미있는 변화는 그다음이다.Threads
- @h2smusicJEV가 “신기한 모델”에서 드디어 “당장 써먹는 도구”로 내려옴. classifier.dev. API 키도, 회원가입도 필요 없음. 텍스트 + 분류 기준만 던지면 “스팸 / 정상” “버그 / 기능요청 / 칭찬” “긍정 / 중립 / 부정” 같은 판단을 확률과 함께 바로 반환함. 한 번에 최대 1,000개 텍스트 처리 가능하고, 내부적으로 JEV를 사용해서 약 150ms급 결정을 노림. 더 웃긴 건 curl 한 줄이면 끝이라는 것. LLM한테 “이거 분류해줘”라고 길게 시키는 대신 판단만 초고속으로 뽑는 시대가 오는 느낌. CLI + MCP까지 지원. MIT 오픈소스. https://github.com/mrmps/classifier-devThreads
- @pytorch.kr[2026/09/14 ~ 20] 이번 주에 살펴볼 만한 AI/ML 논문 모음 PyTorchKR🔥🇰🇷 🤔💭 이번 주에 살펴본 10편의 논문들에서는 규칙 기반으로는 구현하기 어렵지만 자연어로는 쉽게 설명할 수 있는 텍스트 처리 함수를 비롯하여, 추론 효율성 극대화를 위한 '사전 컴파일' 및 '증류' 패러다임, 장기 작업 및 협업을 위한 에이전트 '구조(Scaffolding)'와 '기억'의 고도화, 현실적 상호작용을 반영한 '인간 중심 평가'와 '개인화'의 심층 분석에 대한 경향을 확인할 수 있습니다: :one: 추론 효율성 극대화를 위한 '사전 컴파일' 및 '증류' 패러다임: 이번 주 선정된 논문들에서는 대규모 언어 모델의 막대한 추론 비용과 지연 시간을 해결하기 위해, 무거운 … https://discuss.pytorch.kr/t/2026-09-14-20-ai-ml/11966?utm_source=threads&utm_medium=social&utm_campaign=maThreads
- @EiiKwesiKayMegastructureX
- @FlorkOfCowshttps://t.co/yy3fiYG21YX
- @marcus_lowewhat if copy/paste was smart? powered by @typesafeai jev it feels like every computer interaction will get rewrittenX
- @mizorewww介绍比Jev快50倍，在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统 我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇 这个模型能够以每秒决策60次的速度玩贪吃蛇！ https://t.co/31KGUiNunbX
- @rronak_Jev + Astra beats the Ender Dragon in Minecraft in 8 minutes 43 seconds! ⏱️ Cost less than $1 ($0.01 Jev, $0.96 Astra) I open sourced the code and explain the harness setup below. This type of movement is only possible with Jev's near instant decisionmaking, and some continually learning skills from Astra.X
- @googlegemma"DiffusionGemma as Jev" showcases the power of non-autoregressive architectures. While Jev demonstrates the value of rapid decision models, running DiffusionGemma in this paradigm leverages canvas diffusion to evaluate structured choices in a single parallel pass: ⚡ ️Massive Parallelism: Denoises across an open canvas in a single step instead of sequential autoregressive token generation (~0.2s on a DGX spark). 🧠 Full Bidirectional Attention: Allows every option to attend to the full contextX
- @typesafeaiJev is now available to everyone. No waitlist. Start using it here:X
- @developedbyedRunning Jev to see how fast it can remove negative comments from chatX
- @athrix_codeshttps://t.co/ExAjUNFYNu it's free??? how? what a toolX
- @jaredpalmerKev-0.5B: A tiny open source Jev-like decision model with a TypeSafe-compatible API based on Qwen2.5-0.5B that you can train and run on a MacBook Pro. Model card and weights are available on GitHub https://t.co/53wZQYhhmuX
- @kunchenguidpoor guy claim to have built Jev a year ago but no one cared, and now Jev stole all the thunder many people are saying “you gotta tell your story” or “marketing is important”, and they just completely missed what actually made the difference here i just looked into this laya model https://t.co/8QWCGZqS43 and: - it only supports 512-1k context… a lot of use cases won’t fit at all - evaluating the model directly shows its accuracy is as good as a coin flip. in order to get good results, you neX
- @typesafeaiFREEX
- @takeUforward_ZENKAI is LIVE! 💙 We’ve put months of work into this, and we’re so excited for you guys to finally try it. Go explore, play around with the new features, and tell us what you think. Checkout: https://t.co/8kboUTptLVX
- @XFreezeSpaceXAI just made a massive jump in image generation Grok Imagine Image 2.0 is now #4 on Artificial Analysis’ Text-to-Image Leaderboard with 1,154 Elo.....the highest-ranked model outside OpenAI Imagine Image 2.0: #4 — 1,154 Elo It also sits on the Pareto frontier for quality vs price Going from #18 to #4 in a single generation is insane SpaceXAI is moving ridiculously fastX
- @_avichawlahttps://t.co/kowTjDTq00X
- @AAAzzamJev is an incredible model router. Ask Jev which models can solve a user’s task, and route it to the cheapest one. We have a new frontier model overnight.X
- @sep_is_heim流行のJevをMiniMax H3に組み込んで、動画生成を高速化してみた！Attention処理のスパース化にJevを使用。 ・層ごとにJevが重要度を判定（4step 49層が対象） ・Jevがスパース率1%, 3%, 5%, 10%を選択 RTX4070で6分7秒→3分34秒で41.7%短縮！動画生成中にJevクラウドに問合せしているのに速い！X
- @higgsfield_aiJev is really good at content filtering and asset selection. DeepSeek + Higgsfield turn the selected assets into ad creatives.X
- @rasbtIt’s easy to dismiss Jev it as “just a classifier”. But people (me included) who have been training encoder-style models for classification for many years know they were usually special-purpose and limited in some way. The breakthrough of Jev is that it generalizes well. And I’d say the secret sauce is probably more in the data than in the training algorithm. (Plus a nice API design on top of it.)X
- @neogoose_btwIf you didn't feel the ongoing revolution, here is my second project I built with jev. Your software is drastically outdated. It contains a lot of instructions your CPU executes one by one. Why if we can simply ask Jev for the next instructions to execute Introducing Jevassembler! It is a new approach to execute something on CPU. You don't need to wait for code to be written, you don't need to compile anything and YOU DON'T NEED CODE. You just give it a task and Jev predicts the next instrucX
- @yusukebeI created JevRouter for Hono! This routes HTTP requests by meaning, not by method and path npm i hono-jev-router Playground: https://t.co/XovgCmhOvpX
- @Saboo_Shubham_Introducing a new way FIND (⌘F) with @typesafeai Jev. Find what you mean, not what just matches. Super fast and near real-time. Made it 100% open-source chrome extension.X
- @ai_xiaomu客服 & 内容审核 & 招聘等 agent 都会因为 jev 模型迎来重构，这是新的机会。X
- @ibocodesi have jev access and i genuinely can't think of one thing to use it for everyone's jevpilled and i'm sitting here with fomo what are you actually using it for every day not demos, real workX
- @jaredpalmerUPDATE: Kev-0.6B, 4B, and 8B are now available. Kev is a family of small open source Jev-like decision models you can train and run yourself. This new family is based on Qwen3 using the same LoRA + small pointer head technique as before, but scaled up. Out of domain, on data Kev never trained on: Kev-8B 79.6%, Jev 85.7%. • Drop-in TypeSafe System One API; their SDK works with one `base_url` change • Kev-4B serves on a 32 GB Mac in bf16: ~300 ms for five questions, ~40 ms on an H100 • RepeatX
- @KalshiBREAKING: OpenAI plans to spend almost $900 billion on computing and data centers by 2030X
- @shannholmberghere's how JEV works, simplified I've been experimenting with it for the last hour, and it's EXTREMELY good at making decisions with the right references and context you give it the information, your questions, and the type of answer each question needs: > a choice from options you provide > a score on a scale you define > a probability that something is true the models we're used to often give us long written answers, with explanations and reasoning jev returns structured answers your app X
- @AndyL5cchttps://t.co/oKPKePWZ19X
- @codexnoirmaticFarsa del Buen VivirX
- @neural_avbJEV actually doesn't even run deterministically Exact same prompts give you different probabilities when you run it multiple times The ORDER of the choices DRASTICALLY changes the output probs I am more and more confused by the their "no-hallucination" claimX
- @ryanp_coJohn Schulman (co-founder of Thinking Machines and OpenAI) wrote that goal-driven research beats idea-driven research. I realized it's also really good life advice. Don't chase what other people are doing. Figure out what life you want, and then figure out how to get there.X
- @UseFastlaneMeet Jev for Marketing. Just enter your website URL, then Fastlane creates unlimited social media accounts and viral videos all promoting your product in seconds. This is actually insane.X
- @thsottiaux@Ananth7e Most folks have been very nice! Love this communityX
- @suganthanOpencode default is Jev now.X
- @0xRickerJev Engineering is what turns an agent stack into an actual control system and moves the expensive model out of every decision loop. and up to 193x faster and 444x cheaper in tests. the model shouldn’t decide everything. in this setup: request → structured state → Jev router → cheapest capable model → worker → relevance / approval checks → execution gate → tool the important part is that the decision layers don’t generate prose. they route → score → block → approve. so expensive models onX
- @GOROmanマーケ担当は読むべきw どうやってJevをマーケ会社がXでバズらせたか？X
- @DhravyaShahI spent 3 days reverse-engineering Instinct's memory. It's beautifully simple, and works extremely well. i also wrote about how you can implement the same in supermemory in 60 lines of code!X
- @chetanankolavibe coding, but the vibe is getting lost in a swamp. Water swamp experience in threejs - this is quite insanely good imo. water reflections a weathered boat. all running in a browser. made with Three.js + Astra. (have jev from typesafe but need to see how it works on games.. ) something should lurk underwater....X
- @fresh_frui_t김천에서 수확한 샤인머스켓이며 가격보다 맛이정말 일품입니다. 시중에 파는 샤인머스켓과 달리 큼지막한 알과 높은당도를 느낄수 있는 샤인머스켓 입니다. 정말 맛있어서 꼭 드셔보셨으면 좋겠어요❤️X
- @dani_avila7also, save this image... It’s probably the simplest way to understand which Jev primitive fits your use case Think about what you want to build, follow the diagram, and that’s itX
- @heysatya_App design projects we worked on recently 📱X
- @Layton_Gotthttps://t.co/gVjFKM7IoIX
- @bibryamhttps://t.co/nE11RIBlQHX
- @dbillsonusing jev to find outfits by occasionX
- @synaptizedOpus 5.5 Pricing: Input per Mtok: 4$ Output per Mtok: 20$ Cache Read: 0.2$ Cache Write: 5$X
- @cyrilXBThttps://t.co/ADVuVFTYdHX
- @FinanceYF5Jev 太离谱了。 只用 40 秒，它就拆解了 37 个品牌正在投放的 724 条广告。 每条广告的钩子、形式、Offer、CTA、用户认知阶段，以及广告与落地页不匹配的问题，全都分析了出来。 Token 成本仅 0.09 美元。即将接入 StealAds + MCP。X
- @RoundtableSpaceThis is the only video you need to understand Jev better than 99% of the peopleX
- @angelbrodinIntelligence too cheap to meterX
- @shannholmberghere is how you audit your whole workspace and find what JEV could improve in each project (copy the prompt at the end and paste it into your coding agent) ask your agent to find where jev could help in each project look for tasks such as organizing information, reviewing content or checking another agent’s work your agent then identifies what jev needs to read and what question it should answer it also explains how your app would use the answer 1. find tasks jev could help with ask your X
- @LuminaBench🚨 Looks like Opus 5.5 is coming with a price cut then This is around 20% cheaper than Opus 5 i believe, niceX
- @Dimillian👀 good ideaX
- @jacobrodri_bro this is pure goldX
- @grad_escape1년가까운 리비전 끝에 논문 리젝떴다~ 하하하 리뷰어 한명 혼자 계속 잡고늘어져서 결국 리젝났네ㅋㅋ 처음부터 리젝주든가 시간만 버렸어😡 학계 발전을 위한 엄격한 리뷰 감사합니다 ^^ 복 많이 받으시고요,,,Threads
- @ohtt_anyway클로드 모션그래픽 엄청나잖아 ..?! 🙄 거의 ❝해줘❞ 수준의 프롬프트라 솔직히 기대 하나도 안했는데 진짜 대박이다 ╥﹏╥Threads
- @kellylynnedangdidn't realize when they said "jesus take the wheel" they meant with our lives on airplanes, which used to be one of the safest forms of travelThreads
- @iulaijediНу все блядь, теперь из-за Jev мне приходится чаще подходить к компу потому что он заставляет Клавдию работать быстрее со своими вероятностями. Я бы даже предсказаниями назвал это. Это сингулярность в сингулярности. Ну ок, заменил тяжеловесную NLP библиотеку spacy в одном из проектов где происходит метч документовThreads
- @kuku_dady1시간 넘는 삽질 MS사 코파일럿 업무 도입 일주일째. 대략 MS OS + 클로드 오퍼스 조합을 애용 중인데, 클로드 오퍼스를 띄운 상태로 워드 파일을 부른다는 것이, 파일을 띄어 놓고 MS사 코파일럿을 자동 소환하는 바람에 바보 코파일럿과 한 시간 넘게 삽질을 했다. 어처구니 없는 시간 낭비 앞으로는 자제해야겠다.Threads
- @testofschool_spam3/ The Ask 솔직하게 적겠습니다. 아직 실제 현업 담당자의 손을 거쳐보지 못했습니다. 개발자가 상상한 편리함과, 매일 서류의 무게를 견디는 현장의 고통은 분명 다를 것입니다. 중앙부처/지자체 조례·규칙 담당자, 기업 법무·컴플라이언스 담당자분들의 냉정한 쓴소리가 절실합니다. "이 부분이 불편하다", "이게 먼저다" 같은 피드백이 이 도구를 살립니다.Threads
- @testofschool_spam다음 업데이트로 고민 중인 6가지 중, 현업에선 무엇이 가장 시급할까요? 1. 파일 직접 업로드 (PDF/문서 대조) 2. 법제처 API 연동 (원문 자동 조회) 3. 대조 결과 링크/PDF 공유 4. 관심 규정 개정 알림 5. 영문 행정규칙 다국어 지원 6. 다크 모드Threads
- @mshonleI was a doubter but now I'm onboard the Jev train! Woo woo!Threads
- @ineceperSaya mungkin menemukan ide bisnis yang menarik menggunakan JEV by TypeSafe iniThreads
- @mattglory_vlog클로드 안녕 해고 👋Threads
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