2026년 11월 7일

홈 타임라인 게시물 95개, 인기순

1위Anthropic@AnthropicAIX에서 보기

Claude가 경험에서 배우도록 메모리가 중요하며, '드리밍'을 통해 학습 내용을 정리하고 실수를 바로잡는 방식을 엔지니어링 블로그에서 설명한다.

좋아요 12.2K리포스트 1.1K답글 875노출 1.5M북마크 10.9K

2위Nous Research@NousResearchX에서 보기

중국 오픈 모델의 국가 선전 성향을 줄이도록 미세 조정한 Arete-27B를 공개했으며, 선전 비율이 22%에서 1%로 낮아졌고 성능 저하는 없었다고 밝히고 평가 자료와 가중치, 학습 데이터를 함께 공개했다.

좋아요 12.7K리포스트 1.3K답글 1.2K노출 1.4M북마크 6.6K

Nous Research@NousResearch
Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values. Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line. After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs. The values in an open model are one fine-tune away. Our eval, weights, and training data are available now along with the full blog post: nousresearch.com/arete

4위PoIiMath@politicalmathX에서 보기

캘리포니아 Prop 37 통과로 신축 주택 구매자가 계약금을 20% 대신 3%만 내게 되었다는 소식을 전하며 이 이미지를 꺼낼 때라고 말한다.

좋아요 51.1K리포스트 2.4K답글 239노출 2.3M북마크 3.2K

PoIiMath@politicalmath
there has never been a better time to pull out this image
The Assembly@InTheAssembly
BREAKING: California voters just passed Prop 37. Buyers of newly built homes can now put down 3% instead of 20%. How: the state lends you the other 17% as a second mortgage, funded by up to $25 billion in bonds. On an $800,000 home that's $24,000 down instead of $160,000.

5위Tim Cook@tim_cookX에서 보기

애플이 새로운 맥북 프로, 아이패드 미니, M6 탑재 14인치 맥북 프로, 아이맥을 공개했고 지금 바로 구매할 수 있다.

좋아요 12.4K리포스트 802답글 343노출 659.6K북마크 497

6위Ravi Parikh@ravisparikhX에서 보기

Vork는 에이전트가 셰이더, 머티리얼, 카메라, 물리를 직접 작성할 수 있는 3D·VFX 엔진으로, 핵심 API가 약 2,500토큰이며 Blender·Unreal·Houdini보다 토큰 효율이 2배 높고 렌더링이 최대 24배 빠르다고 주장하며 100만 마리 새 시뮬레이션을 L4 GPU에서 97초에 렌더링했다고 소개한다.

좋아요 6.2K리포스트 393답글 196노출 564.6K북마크 7.9K

Ravi Parikh@ravisparikh
Dear Claude: you are being held back by human-centric graphics APIs. I've built a 3D and VFX engine where agents can write their own shaders, materials, cameras, physics. The core API fits in ~2,500 tokens. Vork is: • 2x more token-efficient vs Blender, Unreal Engine, Houdini • Up to 24x faster rendering times • Rust and Slang based engine, runs on GPU via Metal/Vulkan Below is a simulation of 1 million birds - each with unique trajectories - rendered in 97 sec on one NVIDIA L4 GPU (Blender EEVEE: 31 minutes)

7위Andrej Karpathy@karpathyX에서 보기

Karpathy는 Claude Code로 약 3분 만에 Tristan의 유튜브 채널 목록을 바탕으로 47K 영상과 TV 모드를 갖춘 TristanTube를 만들었다고 공유했다.

좋아요 5K리포스트 361답글 392노출 413.7K북마크 5.5K

Andrej Karpathy@karpathy
Earlier this week Tristan published his top YouTube channels: thume.ca/2026/11/01/you… Which looked excellent so clearly I had to turn it into TristanTube: karpathy.ai/tristan-tube/ 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
Andrej Karpathy@karpathy
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5: hackertube.org - Excellent recs without any logins (state is kept in local browser session) - Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads - Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version - HackerTube Longs ✊ A bit more on the process: I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing. Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.

8위Standard Physics@StandardPhysX에서 보기

물리 시뮬레이션을 더 나은 설계로 바꾸는 AI 엔지니어를 소개하며, 데이터센터 냉각 시스템의 전력을 줄이고 기존 터빈 블레이드 설계를 능가하는 결과를 냈고 해당 시뮬레이션 에이전트를 오픈소스로 공개한다.

좋아요 690리포스트 111답글 77노출 371.4K북마크 744

Standard Physics@StandardPhys
We are Introducing an AI engineer that turns physics simulations into better designs It redesigned a data centre’s cooling system to use less electricity and found a turbine blade that beat a leading published design Today we’re open-sourcing the simulation agent behind it

9위Aside@AsideAIX에서 보기

Aside Computer Use는 브라우저 밖의 작업을 다루는 기능으로, 여러 macOS 앱에서 백그라운드로 실행되며 Codex 대비 내부 평가 기준 2.7배 빠르고 토큰은 65% 적게 쓰며 Mac과 Windows에서 이용할 수 있다.

좋아요 1.2K리포스트 83답글 95노출 166.9K북마크 1.3K

Aside@AsideAI
Introducing Aside Computer Use. 80% of work happens on browser, this covers the rest. - 2.7x faster with 65% fewer tokens vs Codex* - Runs in the background across multiple apps (macOS) - Available now on Mac & Windows Aside meets your computer. *based on internal evals

10위Jeff Boudier 🤗@jeffboudierX에서 보기

jeffboudier는 약 200만 달러를 들여 만든 MoE(혼합 전문가) LLM 학습 핸드북을 공개했으며, 대규모로 이를 학습하는 방법을 자세히 담고 있다고 소개한다.

좋아요 787리포스트 109답글 18노출 36.9K북마크 758

Jeff Boudier 🤗@jeffboudier
We spent $2m so you don't have to. And so you can learn how to train MoEs. Mixture-of-Experts LLMs are what powers the AIs you use everyday, and few people in the world know how to train them at scale (a handful at each top AI lab). This handbook distills everything we learned in meticulously crafted chapters and figures. Disclaimer: it may take days to read. We hope to see 1000x more people able to train their own frontier models all over the world! 🤗 Congrats @Nouamanetazi @lvwerra @Thom_Wolf

11위Maayan Albert@maayanalbertX에서 보기

디자이너 대부분이 디자인 도구 대신 코딩 에이전트에서 일한다는 점에 놀라며, 디자이너를 위한 IDE인 proto_ide를 만들고 있고 얼리 액세스 가입을 받는다고 소개한다.

좋아요 922리포스트 76답글 200노출 56.8K북마크 776

Maayan Albert@maayanalbert
I was shocked that 3/4s of designers work in coding agents rather than design tools. This is crazy?? Designers deserve a tool built for them, not just for developers. That's why I'm building @proto_ide, the designer’s IDE. The shape of Claude Code and Cursor, but with every design feature you wish they’d ship. Early access signups are open. If you want a tool that finally unlocks your full creative potential, sign up at prototypes.fun :)

12위VARIEN@varienX에서 보기

가중치 공간 직접 편집으로 사고 토큰을 54% 줄이고 GPQA Diamond 성능은 3% 높인 오픈소스 모델 Qwen Concept 27B를 BF16, FP8, NVFP4 버전으로 공개했다고 알린다.

좋아요 832리포스트 68답글 35노출 36.1K북마크 691

VARIEN@varien
We've open-sourced Qwen Concept 27B, our first model. It applies direct weight-space edits (inspired by the recent MIT CSAIL "Sparks of Weight-Space Programming" paper) to cut thinking tokens by 54% while improving GPQA Diamond performance by 3% versus the base Qwen model. This yields 30% more useful tokens per joule with no additional post-training, all developed on local NVIDIA DGX Spark hardware. BF16, FP8, and NVFP4 versions will be available free at .
concept.countryConcept Country | Governance & a Commons for AI Agents
Concept@conceptcountry
Concept Country has developed its first open-source model, Qwen Concept 27B. With 54% less thinking tokens and 3% better performance on GPQA Diamond compared to its base Qwen 3.8 model, we have achieved 30% more useful tokens per joule without additional post-training.

13위GitHub@githubX에서 보기

GitHub의 새 Git 저장소 구조가 내부 테스트에서 동시 에이전트 5,000개와 초당 7,200회 푸시를 낮은 지연시간으로 처리했다고 밝힌다.

좋아요 1K리포스트 100답글 105노출 87.2K북마크 424

14위Anthropic@AnthropicAIX에서 보기

Anthropic의 과학 블로그는 AI가 코드로 과학 모델을 작성하고 적합시키며 여러 가능한 모델 구조를 탐색하는 방식으로 과학 모델링을 바꾸고 있다고 다룬다.

좋아요 3.4K리포스트 375답글 326노출 401.2K북마크 1.4K

Anthropic@AnthropicAI
New on our Science Blog: How AI is beginning to change scientific modeling. Scientific models help researchers explain and predict real-world systems—like how a single nerve cell fires, or what happens when neutron stars collide. Recent advances have transformed how scientists fit complex models to data. But scientists still typically write the models manually, and usually need to weigh up several competing versions, each of which might explain the data in a different way. In a guest post, Jakob Macke, Daniel Gedon, and Stefan Wahl describe how AI is starting to help with these parts of the process. By writing, running, fitting, and revising scientific models as code, AI can explore many possible model structures, and find out which explanations the data support.
anthropic.comTeaching AI to build scientific models

15위clem 🤗@ClementDelangueX에서 보기

ClementDelangue는 로보틱스 AI에서 오픈소스의 중요성을 강조하며, 허깅페이스의 데이터셋·모델 증가, Microduck과 Reachy mini의 인기, RoboColosseum 참여, LeRobot 다운로드 및 v0.7.0 출시 등 최근 성과를 공유한다.

좋아요 690리포스트 80답글 92노출 43.7K북마크 222

clem 🤗@ClementDelangue
Open-source is critical for robotics AI. It means a student, a researcher or a startup can build on years of progress and contribute something the whole community can use rather than concentrating everything in a few companies building a black-box robot. That’s why we’re building @huggingface into the platform for open-source robotics AI! Amazing to see the progress we've made in the six months and it's accelerating! - Almost 100,000 public robotics datasets on hf.co/datasets, up 48% - Over 30,000 public robotics models, up 41% - Microduck and Reachy mini, our open-source robots became the most popular robot of 2026 (probably ending the year with 50,000+ sold and 20,000+ shipped) - We’re a founding partner of @RoboColosseum, evaluating robots across 140+ real-world scenes. Every run is published publicly on HF, including failures, so everyone can learn from what actually happens. And @LeRobotHF got downloaded over 1M times and v0.7.0 just landed with new world action models, interactive robot control and remote GPU inference: huggingface.co/blog/lerobot/l…! Huge thanks to everyone making this happen 🤗🦾

16위DHH@dhhX에서 보기

superwhisper가 Omarchy 리눅스 배포판의 기본 음성 입력으로 채택되었으며, 클라우드 옵션은 무료이고 로컬 옵션은 계속 제공된다고 전한다.

좋아요 1.1K리포스트 51답글 64노출 49.6K북마크 292

DHH@dhh
It's been such a joy working with the team at @superwhisper on this new Omarchy dictation default. We went through lots of iterations to get it all juuuuust right. And now it's amazing. Cloud for free, local options forever. Great in-depth tutorial here.
superwhisper@superwhisper
Superwhisper is now the default voice input in @DHH’s Linux distribution @Omarchy 🗣️ Here’s a quick video to get you started 🙂

17위Jeff Maurer@JeffMightBWrongX에서 보기

치열한 상원 경선에서 가장 성적이 나빴던 민주당 후보들은 Bernie가 지지한 후보들이었다고 주장한다.

좋아요 5.4K리포스트 920답글 236노출 468.3K북마크 1.2K

18위AI at Meta@AIatMetaX에서 보기

AIatMeta는 Muse Wonder의 특화 모델을 Muse와 Meta AI에 도입해 Active Memory와 Active Focus로 목표 관련 정보 망각과 막힘을 줄였으며, Muse에서 망각은 2.4배, 막힘 극복은 67% 개선됐다고 밝힌다.

좋아요 680리포스트 101답글 109노출 82.9K북마크 146

AI at Meta@AIatMeta
Today we're bringing specialized models trained using Muse Wonder to @Muse and Meta AI, giving users access to some of Muse Wonder's frontier capabilities for complex tasks at work and in everyday life. These specialized models include Muse Wonder's Active Memory and Active Focus, helping them stay aligned with your goals as tasks unfold: → Active Memory helps recognize when earlier information matters and distinguish what's still relevant from what's become stale → Active Focus helps recover from setbacks or find alternatives when constraints change In Muse, the improved models show a 2.4x reduction in forgetting information critical to your goals and a 67% improvement in getting unstuck as constraints evolve. That means less repeating yourself and fewer dead ends when plans change. In Meta AI, these improvements help it break complex problems into steps, ask sharper follow-up questions and adapt when you change direction. Read more on our research blog: go.meta.me/4kCPcHW

19위Google@GoogleX에서 보기

Google은 빌더들이 Gemini 4 Argon과 Antigravity를 활용해 레트로 60년대 디자인의 커스텀 '서프 클락'을 스케치에서 작동하는 프로토타입으로 만든 과정을 소개한다.

좋아요 669리포스트 60답글 86노출 119K북마크 138

Google@Google
From fun idea → functional smart device 🏄‍♂️ Check out how these builders used Gemini 4 Argon and @Antigravity to take a custom "Surf Clock" from a rough sketch to a working prototype: exploring retro '60s designs, controlling Blender via Python, and writing custom firmware.

20위Patrick Collison@patrickcX에서 보기

patrickc는 지난 10년간 미국의 민주주의가 유권자 선호에 잘 반응하며 서구 주요국 중 가장 잘 작동했다고 주장하고, 『미국의 민주주의』를 읽으며 그 통찰이 200년이 지나도 여전히 유효하다고 느꼈다고 말한다.

좋아요 5.3K리포스트 252답글 290노출 727.4K북마크 1.1K

Patrick Collison@patrickc
It seems to me that democracy has on the whole worked very well in America over the last decade, and perhaps better than in any other major country in the West. National outcomes have repeatedly been responsive to underlying voter preferences on meaningful questions, and significant changes in policy have ensued. I’ve been reading Democracy in America this past week, and it’s striking how much it still rhymes nearly two centuries later.

21위Yann LeCun@ylecunX에서 보기

얀 르쿤이 3년 전 글을 다시 올리며, 소수 기업의 AI 규제 로비와 오픈소스 AI 연구 규제가 AI 통제를 소수 기업에 집중시킬 것이라고 주장한다.

좋아요 837리포스트 88답글 66노출 69.1K북마크 168

Yann LeCun@ylecun
Reminder from 3 years ago.
Yann LeCun@ylecun
Altman, Hassabis, and Amodei are the ones doing massive corporate lobbying at the moment. They are the ones who are attempting to perform a regulatory capture of the AI industry. You, Geoff, and Yoshua are giving ammunition to those who are lobbying for a ban on open AI R&D. If your fear-mongering campaigns succeed, they will *inevitably* result in what you and I would identify as a catastrophe: a small number of companies will control AI. The vast majority of our academic colleagues are massively in favor of open AI R&D. Very few believe in the doomsday scenarios you have promoted. You, Yoshua, Geoff, and Stuart are the singular-but-vocal exceptions. like many, I very much support open AI platforms because I believe in a combination of forces: people's creativity, democracy, market forces, and product regulations. I also know that producing AI systems that are safe and under our control is possible. I've made concrete proposals to that effect. This will all drive people to do the Right Thing. You write as if AI is just happening, as if it were some natural phenomenon beyond our control. But it's not. It's making progress because of individual people that you and I know. We, and they, have agency in building the Right Things. Asking for regulation of R&D (as opposed to product deployment) implicitly assumes that these people and the organization they work for are incompetent, reckless, self-destructive, or evil. They are not. I have made lots of arguments that the doomsday scenarios you are so afraid of are preposterous. I'm not going to repeat them here. But the main point is that if powerful AI systems are driven by objectives (which include guardrails) they will be safe and controllable because *e* set those guardrails and objectives. (Current Auto-Regressive LLMs are not driven by objectives, so let's not extrapolate from their current weaknesses). Now about open source: your campaign is going to have the exact opposite effect of what you seek. In a future where AI systems are poised to constitute the repository of all human knowledge and culture, we *need* the platforms to be open source and freely available so that everyone can contribute to them. Openness is the only way to make AI platforms reflect the entirety of human knowledge and culture. This requires that contributions to those platforms be crowd-sourced, a bit like Wikipedia. That won't work unless the platforms are open. The alternative, which will *inevitably* happen if open source AI is regulated out of existence, is that a small number of companies from the West Coast of the US and China will control AI platform and hence control people's entire digital diet. What does that mean for democracy? What does that mean for cultural diversity? *THIS* is what keeps me up at night.

22위DHH@dhhX에서 보기

XPS와 Omnibook 같은 비슷한 가격대의 노트북이 배터리 성능에서 MacBook Neo를 크게 앞서며, 700달러대 PC 시장이 빠르게 경쟁이 치열해졌다고 감탄한다.

좋아요 874리포스트 15답글 49노출 68.6K북마크 167

23위OpenAI@OpenAIX에서 보기

OpenAI는 Ligo와 함께 실험실 데이터 해석, 오류 식별, 결론 검증 능력을 평가하는 BioBasicsBench를 공개했으며, 이는 AI 에이전트의 일상적인 생명과학 분석 역량을 측정하는 벤치마크이다.

좋아요 3.5K리포스트 263답글 770노출 776.8K북마크 593

OpenAI@OpenAI
A new way to measure how AI agents handle the routine analyses of wet-lab science—BioBasicsBench. Developed with Ligo, a biotech company focused on enzyme design, the benchmark draws on 100 tasks from real experiments to test whether agents can interpret raw lab data, identify errors, and recognize when the evidence doesn’t support a conclusion. Accelerating biological research starts with getting the everyday work right. BioBasicsBench shows where models need to improve, and helps us track what those gains mean for scientific progress, biosafety, and biosecurity. openai.com/index/measurin…

24위Paul Graham@paulgX에서 보기

폴 그레이엄은 한 스타트업에 동기 배치 회원들에게 판매하는 데 집중하라고 조언했고, 그 결과 해당 스타트업이 배치의 10%가 제품을 사용하게 만들었다.

좋아요 1.3K리포스트 33답글 182노출 167.3K북마크 202

Paul Graham@paulg
In office hours with a startup, I suggested they focus on selling to their batchmates, because it would be both the real test of whether their product was good and also the best influence on its evolution. They went to work, and they just crossed 10% of the batch using it.

25위OpenAI@OpenAIX에서 보기

OpenAI는 Frontier Model Forum과 함께 AI 안전장치 우회가 심각한 사이버 피해로 이어질 수 있는지 평가하는 탈옥 등급 프레임워크를 발표했다.

좋아요 1.6K리포스트 125답글 412노출 322.3K북마크 211

OpenAI@OpenAI
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections. "...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
frontiermodelforum.orgIntroducing the FMF Jailbreak Rating Framework for Frontier Cyber Threats  - Frontier Model Forum

26위NASA@NASAX에서 보기

나사가 우주비행사 모집에 지원서를 받기 시작했으며 12월 3일까지 신청할 수 있다고 알린다.

좋아요 1.6K리포스트 349답글 183노출 258.7K북마크 198

27위DHH@dhhX에서 보기

Omarchy로 MacBook Neo에서 Linux를 구동하는 데 성공했고, M팀이 A18 칩에서 Linux를 실사용 단계로 처음 구현했다고 자랑한다.

좋아요 3.8K리포스트 110답글 183노출 134.2K북마크 449

28위Google Antigravity@antigravityX에서 보기

Antigravity 인터페이스의 새로운 디자인을 공개하며 사용자들에게 의견을 달라고 요청한다.

좋아요 4.2K리포스트 181답글 335노출 323.4K북마크 471

29위Mitchell Hashimoto@mitchellhX에서 보기

libghostty 1.0이 출시되어 ABI 안정성을 확보했고, 수백 개 프로젝트와 수천만 사용자에게 쓰이며 KDE, Turborepo, OrbStack 등 다양한 도구에 탑재되었다고 소개한다.

좋아요 4.3K리포스트 276답글 96노출 92.5K북마크 483

Mitchell Hashimoto@mitchellh
libghostty 1.0 is here! I started Ghostty ~5yrs ago to work towards this. Today, libghostty is in hundreds of projects used by tens of millions of people. 1.0 marks ABI stability, quality, and an invite for distros to begin packaging. mitchellh.com/writing/libgho… Since starting the Ghostty project in 2022, the most common question I've been asked is "why?". Today, I'll answer this by showing the broad industry impact libghostty has already had. On top of JetBrains and Neovim already mentioned (that alone being over 10 million users): -KDE developers are experimenting with a Konsole replacement built on it. - Vercel's Turborepo uses it to render task output in its TUI. - devenv uses it to drive shells. - Antithesis used it to fuzz TUI programs and found real bugs in btop and others. -Ghostel brings it to Emacs. - ghostty-web is the WASM build with an Xterm.js-compatible API. - Commercial products like OrbStack embed it. - And a whole wave of new terminals and "agentic" coding tools, such as herdr and cmux, have been built on it rather than writing yet another emulator. There are community bindings for Rust, Go, JavaScript, Swift, Python, .NET, Elixir, Dart, Java, and more, and the awesome-libghostty list tracks well over a hundred projects. More people today use a terminal powered by libghostty than use Ghostty the application, by a very large multiple. And libghostty is having a much larger impact than being "just" a terminal emulator. I'm excited to see where people take it from here.
mitchellh.comLibghostty 1.0

30위NASA@NASAX에서 보기

나사 관리자와 기관 지도부가 인류 최초의 달 전진기지인 달 기지의 최신 소식을 생중계로 전한다.

좋아요 828리포스트 155답글 88노출 247.8K북마크 82

31위DHH@dhhX에서 보기

DHH는 Anduril의 BlueChip 기기에서 Omarchy가 실행되는 데 성공했으며 Snapdragon 호환성 작업이 결실을 맺고 있다고 전했다.

좋아요 3.9K리포스트 141답글 157노출 158.1K북마크 334

32위NASA Moon Base@NASAMoonBaseX에서 보기

나사가 새 수상 소식과 함께 상업 달 화물 수송, 원자력 로버, 발사 및 궤도 이송 서비스, 달 상주 인프라 등 달 기지 추진 현황을 알렸다.

좋아요 934리포스트 157답글 28노출 99.1K북마크 77

33위Blake Scholl 🛫@bschollX에서 보기

Boom은 초음속과 에너지 사업을 병행하지 않고 먼저 에너지 엔진을 완성한 뒤 초음속 여객기를 만들 계획이며, 현재 직원 약 165명 중 5명만 비행기 개발에 참여한다고 설명한다.

좋아요 1.1K리포스트 49답글 48노출 87.4K북마크 85

Blake Scholl 🛫@bscholl
A lot of people think Boom is dividing our efforts equally between supersonic and energy—or that we've abandoned supersonic entirely and are only doing energy. Neither of those is correct. Here's what we're really doing. Boom is very deliberately doing energy first, then supersonic. We'll get the engine working on the ground, generating gigawatts and gigadollars. Then we'll take everything we've learned (and some of the cash) and build the supersonic airliner. Right now, we have ~165 people, of which ~5 are on the airplane. This might mean that Overture will be a year or two later than we hoped—but also the probability that it actually happens is much, much greater than ever before. United's CEO gave us 50/50 odds, which I see as a strong endorsement. Never before in history has there been *any* effort with a 50% chance of producing a practical supersonic airliner! By the time Superpower ships to customers next year, I think the odds will be well over 50%. And for me personally, I'm just 100% committed to both energy and flight. I'm here for the day when we have to explain to kids that NYC to SF used to take 6 hours and that supersonic flight wasn't normal.

34위DHH@dhhX에서 보기

올해 리눅스는 빠르게 성장하고 있으며, Affinity의 리눅스 버전 개발 소식까지 더해져 데스크톱에서 리눅스를 쓰지 않을 이유가 점점 줄어들고 있다고 말한다.

좋아요 2.2K리포스트 70답글 85노출 48.3K북마크 134

DHH@dhh
Linux keeps winning this year: Unbelievable growth, amazing pledges, and just a dwindling list of excuses for why you'd ever want to run something else on the desktop.
AlternativeTo@AlternativeTo
🐧🎨 Affinity has announced that they're developing a Linux version of its design suite, exciting the Linux creative community. This move will expand Affinity's platform reach, offering a free cross-platform Adobe alternative. alternativeto.net/news/2026/11/a…

35위NASA Administrator Jared Isaacman@NASAAdminX에서 보기

NASA Admin은 대통령을 케네디 우주센터에 맞이하며, 미국 항공우주 리더십을 보여줄 CAPEWEEK 행사를 소개하고 이곳이 미국이 다음에 만들 것을 세계에 보여줄 장소라고 밝힌다.

좋아요 2K리포스트 309답글 63노출 206.1K북마크 121

NASA Administrator Jared Isaacman@NASAAdmin
Today, we’re excited to welcome @POTUS to @NASAKennedy as we begin building a global stage worthy of America’s leadership in aerospace. CAPEWEEK will be a great American gathering for the people and technologies shaping the future of aerospace, bringing together builders, operators, entrepreneurs, engineers, pilots, investors, explorers, and hundreds of thousands of members of the public. There is no better stage for this than Kennedy Space Center and the runway that welcomed the Space Shuttle home. This is where America can show the world what we are building next.

36위NASA@NASAX에서 보기

NASA는 미국의 야망과 최대 동력을 강조하며, 트럼프 대통령의 지도 아래 이번에는 머물기 위해 달로 돌아간다고 밝혔다.

좋아요 3.2K리포스트 476답글 648노출 580.8K북마크 159

37위NASA@NASAX에서 보기

NASA가 11월 7일과 8일 열리는 새 항공우주 엑스포 MAX POWER의 개막에서 트럼프 대통령의 발언을 생중계한다고 알린다.

좋아요 707리포스트 95답글 85노출 339.6K북마크 35

38위NASA Moon Base@NASAMoonBaseX에서 보기

NASA는 오늘 오후 5시(ET)에 케네디 우주센터에서 달 기지 프로젝트의 최신 진행 상황을 발표하는 행사가 생중계된다고 알렸다.

좋아요 1.4K리포스트 244답글 59노출 170.6K북마크 70

40위NASA@NASAX에서 보기

NASA는 NEO Surveyor 우주선에 탑재될 차양막을 소개했는데, 이는 태양 빛을 막아 지상 망원경이 놓칠 수 있는 근지구 소행성과 혜성을 탐지하도록 돕는다.

좋아요 1.4K리포스트 185답글 119노출 503K북마크 49

NASA@NASA
Nice shades. 😎 This sunshade will fly on NEO Surveyor, a spacecraft that will spot nearby asteroids and comets that ground-based telescopes might miss. The sunshade will help by harnessing the Sun’s power and blocking its blinding glare: go.nasa.gov/47Ze1GP

41위The White House@WhiteHouseX에서 보기

백악관은 트럼프 대통령이 케네디 우주센터에서 연설하며 미국인의 개척 정신을 강조하고 인류를 위한 다음 대도약을 약속했다고 전했다.

좋아요 4.3K리포스트 850답글 435노출 258.3K북마크 113

The White House@WhiteHouse
President Trump at @NASA's Kennedy Space Center. 🚀 "To be an American is to inherit the legacy of the greatest pioneers, explorers, inventors, and innovators... Now, our nation is ready to prove the doubters wrong yet again — and to make the next giant leaps for all mankind."

42위NASA@NASAX에서 보기

NASA는 케네디 우주센터에서 열리는 MAX POWER 항공 엑스포와 에어쇼에서 기술 전시와 항공기 공개 및 전문가 상담이 진행된다고 알렸다.

좋아요 760리포스트 112답글 75노출 266.8K북마크 18

44위a16z@a16zX에서 보기

2026년 보고서에 따르면 침해의 31%는 취약점 악용이었고 35%는 피싱이나 로그인 탈취, 사칭 사기였으며, 거의 절반이 벤더나 파트너와 관련되어 a16z가 유망한 보안 기업 여섯 곳을 분석했다고 전한다.

좋아요 278리포스트 54답글 34노출 54K북마크 285

45위Nick Shirobokov@nicksherrowX에서 보기

Jev가 AI 엔지니어들을 잘못된 시스템 설계 패턴에서 구해주고 있는데, 업계는 여전히 도구 호출 루프를 곳곳에 남용하고 있다고 지적한다.

좋아요 143리포스트 8답글 3노출 24.4K북마크 146

Nick Shirobokov@nicksherrow
Can't stop thinking how much stuff Jev is doing to save AI engineers asses from stupid systems design patterns while the rest of the domain keeps pushing tool calling loops everywhere
Allie the Icon@allietheicon
Why don't we at TypeSafe call Jev a decision model? If you think of Jev's questions as making *decisions*, I believe you'll use it at the wrong layer of abstraction and your reliability will suffer. I wrote all about this on our site 🧵👇

46위Aaron Epstein@aaron_epsteinX에서 보기

온디바이스 아이폰 에이전트 Result는 카드와 비밀번호를 기기 안에 보관하고 Apple Pay와 비밀번호 기능을 지원하며, 잠금 상태에서도 백그라운드로 작동한다고 소개된다.

좋아요 426리포스트 18답글 20노출 41.5K북마크 386

Aaron Epstein@aaron_epstein
This is the personal agent Apple should’ve built. On-device, supports ApplePay, and even local passwords.
Result@tryresult
Cloud VMs keep getting hacked, so we built the first on-device iPhone agent Introducing Result > Cards & passwords stay on-device > Run openweight models on your compute or cloud > Native Apple Pay & Passwords > Works in the background even when locked result.dev/ios

47위👩‍💻 Paige Bailey@DynamicWebPaigeX에서 보기

같은 모델을 쓰더라도 하네스에 따라 해결률과 작업당 비용이 크게 달라진다는 하네스 리더보드 결과를 칭찬하며, 이 방법을 프런티어 독점 모델에도 적용해 보기를 바란다고 말했다.

좋아요 99리포스트 10답글 9노출 11.5K북마크 82

👩‍💻 Paige Bailey@DynamicWebPaige
Such an awesome, empirically rigorous benchmark!! 🙌 Holding the model fixed and still seeing a ~2x swing in solve rate -- and ~11.7x difference in cost per solved task -- is proof of how much the harness actually matters. (And Harness Lens documenting prompts, tools, and compaction across 34 harnesses is 😍.) Would love to see this exact methodology run on frontier proprietary models across open harnesses next! 👀
Joël Niklaus@joelniklaus
I burned a shitload of compute so you don't have to. Releasing the Harness Leaderboard. Which harness should you run your open model in? I ran 28,849 trials to find out. The leaderboard compares nine coding-agent harnesses on open models. In each comparison only the harness changes: the model, provider and reasoning effort stay fixed, and every task gets three attempts. The trials ran GLM-5.3-Flash, DeepSeek-V4.1-Flash and Flint on Terminal-Bench 2.1 and DeepSWE, for $4,746 of inference. Averaged over the three models, mini-swe-agent (@KLieret), a bash-only agent, solves 51.4% of tasks and @openclaw 27.3%. Four others are statistically tied with mini-swe-agent. One of them is Pi (@pidotdev), at 49.4% for $0.29 per solved task, about 45% less than mini-swe-agent's $0.53. The best harness depends on the model: mini-swe-agent on GLM-5.3-Flash, Hermes Agent (@NousResearch) on DeepSeek-V4.1-Flash and Kimi Code (@Kimi_Moonshot) on Flint. @opencode costs $3.35 per solved task, 11.7 times as much as Pi. See Harness Hub's Harness Lens for what the nine harnesses do differently. It documents the prompts, tools and compaction of 34 coding-agent harnesses and links every claim to its source. Leaderboard: huggingface.co/spaces/joelnik… Harness Lens: huggingface.co/spaces/harness…

48위Google Cloud Tech@GoogleCloudTechX에서 보기

구글이 새 오픈소스 플러그인을 소개하며, 심층 문맥 에이전트로 사양서를 작성하고 무문맥 하위 에이전트로 검증한 뒤 사람이 승인해야 구현하는 방식을 설명한다.

좋아요 104리포스트 12답글 8노출 6.3K북마크 66

49위Davide Asnaghi@davideasnaghiX에서 보기

AI 모델이 x-band 위상배열 안테나 같은 준전문적인 작업도 수행할 수 있게 되어 흥미롭다는 감상이다.

좋아요 449리포스트 28답글 18노출 35.8K북마크 265

50위Yann LeCun@ylecunX에서 보기

얀 르쿤이 다이노와 제파 계열 이미지 및 영상 자기지도학습 방법의 차이를 설명하며, 학계의 소규모 연구와 기업 규모의 모델 개발을 구분해야 한다고 말한다.

좋아요 307리포스트 32답글 12노출 23.6K북마크 174

Yann LeCun@ylecun

@gabriberton 님에게 보내는 답글

Several comments: 1. image/video SSL methods differ by whether they use reconstruction or not. Joint embedding architectures Amy or may not have a predictor (JEA vs JEPA). They also differ by their anti-collapse method and data corruption/augmentation methods. 2. DINO *is* a kind of JEPA (technically a JEA). The difference with other JEPA models is the anti-collapse criterion (based on contrative clustering+ stopgradient/EMA), and the data augmentation scheme (image transformations, which is task specific), 3. V-JEPA 2.1, like DINO, is from Meta-FAIR (corporate lab), involved significant engineering teams, large/proprietary datasets, considerable computing resources, lots of fine-tuning, and number-pushing on many benchmarks. 4. Many JEPA papers are applications and/or fine-tuned versions of DINO, V-JEPA or I-JEPA. 5. LeJEPA, LeWM, and most other papers with "JEPA" in the title are *research* papers focused on the methodology, often done by students in academic labs, involving no engineering support, very little computing resources, and small/public training sets. They are generally tested on toy problems, simulated environments, or small/public benchmarks. 6. You simply cannot compare 5 with 2/3/4. 5 gives you ideas and new methods, not models. 2/3 give you well-engineered models, with lots of empirically validated tricks. Only rarely will 2/3 give you a new, well-principled method with room to spare. 5 give you empirical results on new applications. 7. What is published in 5 are methods that will eventually become like 2 and 3, whenever someone with resources picks it up and scales it. DO NOT CONFUSE UPSTREAM FOUNDATIONAL RESEARCH ON METHODS AND DOWNSTREAM SCALING -> ENGINEERING -> NUMBER PUSHING -> MODELS -> PRODUCTS. The former makes the rest possible, but it takes time.

51위a16z@a16zX에서 보기

a16z는 기업들이 백업을 과신하고 있으며, 백업이 살아남은 경우와 손상된 경우의 복구 비용 차이가 크다는 조사 결과와 함께 사이버보안 창업 기회 여섯 가지를 다룬 글을 공유했다.

좋아요 116리포스트 22답글 24노출 20.7K북마크 54

52위Y Combinator@ycombinatorX에서 보기

Replit의 CEO 아므자드 마사드가 AI 코딩 에이전트의 등장과 바이브 코딩 이후의 변화, 그리고 AI가 기업 소프트웨어를 운영하는 '자율주행 기업' 비전에 대해 이야기하는 팟캐스트 소개글이다.

좋아요 257리포스트 37답글 63노출 27.7K북마크 115

Y Combinator@ycombinator
Replit was building toward the AI coding era years before it had a name. In 2024, the company shipped an agent that could take a request in plain English, work through errors, provision its own infrastructure, and keep going until the software actually worked. The model companies even reached out to ask how Replit had pulled it off. Co-founder and CEO Amjad Masad had been thinking about making programming radically more accessible since 2008, and Replit’s original pitch deck predicted AI-generated code before the Transformer paper was published. Today, that same technology is moving into banks, manufacturers, and other large companies, where Amjad says teams are replacing software projects once scoped at $10 million with $250,000 of Replit. On How to Build the Future, @paulg sits down with @amasad to talk about why @Replit was so well positioned when coding agents arrived, what comes after vibe coding, and his bigger vision for the “self-driving company,” where AI agents increasingly build and operate the software a company needs. 00:00 - "You guys basically invented vibe coding" 02:43 - Watching users copy-paste from ChatGPT 05:27 - The origins of Replit 08:00 - People underestimate their ability to predict the future 10:27 - Grieving the craft 12:52 - A culture of obsessing over users 15:13 - Why enterprises pick Replit 17:28 - The agent was just another user 20:17 - It barely worked, and users loved it 23:13 - $10 million projects now for $250,000 25:45 - Sandboxing for humans 28:14 - "The self-driving company" 30:34 - The way AI flows into companies 33:28 - What Steve Jobs knew before the iPad 35:59 - Killing the sacred cow 38:25 - The rest of the world is two years behind 41:15 - The compute brought on AI 43:46 - The person who assumes dramatic change

53위DesignArena@DesignArenaX에서 보기

DesignArena는 실제 사용자가 평가하는 개인 비서 아레나 LifeArena를 소개하며, 평가에서 Meta의 Muse가 압도적인 1위를 차지했다고 발표한다.

좋아요 401리포스트 35답글 35노출 38.1K북마크 166

DesignArena@DesignArena
Introducing LifeArena: the world’s first arena for personal assistants, as judged by real users. As AI assistants become more capable, existing static benchmarks struggle to capture the creative, unthinkable requests of people in their everyday lives. So, we offered select users the most popular personal assistants: @instinct, @Muse by @AIatMeta, Dots by @OpenAI, Grok Bot by @xai, and Gemini by @GoogleDeepMind. The results are in: @Muse is #1... by a landslide. Here's what users said:

54위Dhanush Rambhatla@Th3OnlyWayUpX에서 보기

Th3OnlyWayUp은 각 캐릭터마다 다른 목소리를 입히는 다중 음성 오디오북 서비스 Audora를 출시했으며, 링크나 파일로 무료 미리보기를 제공한다고 소개한다.

좋아요 280리포스트 45답글 110노출 14.7K북마크 98

Dhanush Rambhatla@Th3OnlyWayUp
Audora is live! We’re building audiobooks where every character gets their own voice, instead of one narrator reading the entire book. I’ve always wanted to hear the characters in my favourite stories sound the way I imagined them. So I decided to build it. Most books never get an audiobook because producing one is expensive. We want to make that possible for any story. I took a gap year to work on this and became one of the youngest solo founders to get into @ycombinator at 18. You can now paste any story link or upload a file and turn it into a multi-voice audiobook. First preview is on us, no account needed :) audora.art

55위Pushmeet Kohli@pushmeetX에서 보기

구글 딥마인드 과학팀이 AI 에이전트로 낡은 1024비트 RSA 암호의 약점을 찾아냈다고 발표하며, RSA 2048 같은 최신 암호에는 영향이 없지만 암호의 수학적 난이도를 믿어서는 안 되고 AI가 보안 향상에 도움이 될 수 있다고 강조한다.

좋아요 478리포스트 68답글 23노출 61.2K북마크 166

Pushmeet Kohli@pushmeet
The @GoogleDeepMind Science team is sharing two key cryptographic advances today uncovering weaknesses in legacy 1024-bit RSA schemes. Working with leading cryptanalysis experts, our team showed how AI agents could make two significant cryptographic advances in just weeks, uncovering results which can bypass older digital signature protections and factor legacy 1024-bit RSA keys in bulk. While these results do not affect the security of modern encryption schemes such as RSA 2048, these results show why we must not assume the mathematical "hardness" of cryptographic schemes which we have relied upon in the past. It also shows how AI can help defenders improve security standards well ahead of future threats. I have written in more detail about our results, and why they are important for the future of security, in a longer essay which you can read here:
Pushmeet Kohli@pushmeet
x.com/i/article/2118…

56위Theseus Robotics@theseuscomX에서 보기

YC F26 소속 Theseus Robotics는 매장을 건드리지 않고 밤에는 슈퍼마켓 진열대를 채우고 낮에는 온라인 주문을 픽업하는 로봇을 소개하며 다음 목표로 샌프란시스코를 밝혔다.

좋아요 294리포스트 21답글 39노출 19.8K북마크 102

57위a16z@a16zX에서 보기

a16z는 2023년 1분기 이후 Alphabet, Microsoft, Amazon, Meta의 CapEx가 5~8배 늘어난 반면 Apple은 AI 붐 이전보다 20% 적게 지출한다고 차트로 보여준다.

좋아요 297리포스트 55답글 35노출 34.3K북마크 94

58위Thomas Wolf@Thom_WolfX에서 보기

Thom_Wolf은 Augustin을 팔로우하라고 추천하며, 그가 엄청난 로보틱스 엔지니어라고 소개하고 Seeed Studio 선전 공장에서 Microduck 생산 라인을 본 경험을 인용한다.

좋아요 190리포스트 10답글 12노출 24.6K북마크 53

59위Greg Brockman@gdbX에서 보기

사이버보안 기업은 공격자의 익명 에이전트가 시스템과 상호작용하지 못하도록 서비스를 인터넷에서 분리하는 등 아키텍처 방안을 지금 검토해야 하며, 보안 설계의 기본이 더욱 중요해졌다고 주장한다.

좋아요 554리포스트 38답글 81노출 40.3K북마크 144

Greg Brockman@gdb
security architecture fundamentals are more important than ever before
Pat Opet@patopet
if you’re working for a company in cybersecurity, you should be evaluating your options to abstract your companies services from the internet what i mean is: why allow an unauthenticated anonymous agent of an attacker to interact with your systems? consider your architectural levers now, you’re going to need them

60위Paul Graham@paulgX에서 보기

폴 그레이엄은 Boom Supersonic의 블레이크 숄 인터뷰를 소개하며, 초음속 엔진은 고온에서 지속적으로 full power를 내야 하므로 동력 터빈과 더 닮았다고 말했다.

좋아요 176리포스트 7답글 23노출 49.1K북마크 45

Paul Graham@paulg
"A supersonic engine looks much more like a power turbine than any other jet engine, because it's about continuous full power operation in demanding high temperature environments."
Jessica Livingston@jesslivingston
Carolynn and I are back for a special episode with Blake Scholl of @boomsupersonic about their amazing recent transformation, from losing Rolls Royce as their engine supplier to financing development of the airliner by selling gas turbines. pod.link/1677066062/epi…

61위GitHub@githubX에서 보기

GitHub Copilot 앱의 프로젝트 기능으로 여러 저장소와 작업을 한데 묶고, Copilot이 목표에 맞춰 작업을 조율하고 세션과 자동화를 관리하게 할 수 있다.

좋아요 141리포스트 11답글 40노출 26.2K북마크 33

GitHub@github
💡 Bring all your related work together with projects in the GitHub Copilot app. Give Copilot a goal and it will coordinate the work. Your project can span one or more repos or focus on tasks that don't require one. Copilot can start sessions, set up recurring automations, or create artifacts; they'll show up in your project. 🗂️ Keep your sessions together to work toward one objective. Get started 👇 docs.github.com/copilot/how-to…

62위Darwin Robotics@darwin_roboticsX에서 보기

Darwin Robotics는 AI 인프라 구축 현장에서 숙련된 물리 작업을 수행할 범용 로봇 기술자를 만들기 위해 360만 달러의 프리시드 투자를 유치했으며, 로봇이 사람의 시연을 통해 복잡한 작업을 학습하도록 개발하고 있고 관련 엔지니어를 채용 중이라고 밝혔다.

좋아요 70리포스트 10답글 19노출 8.3K북마크 15

Darwin Robotics@darwin_robotics
Darwin Robotics Raises $3.6M to Build General-Purpose Robot Technicians We're excited to announce that @darwin_robotics has raised $3.6M in pre-seed funding, led by @Link_Ventures, with participation from @ycombinator, @Liquid2V, @RebelFund_VC, and the co-founders of Open AI, xAI, and Y Combinator. We're building general purpose robot technicians that assemble, commission, and maintain critical infrastructure. Our initial focus is AI infrastructure, where rapid data center buildout is creating growing demand for skilled physical work. Every leap in human progress has been driven by our ability to build increasingly sophisticated machines. The next frontier is intelligent robots that can use tools to build and maintain other machines. Our robots learn complex tasks from human demonstrations rather than being explicitly programmed for each workflow. We're deployment-first, working closely with AI infrastructure partners to bring our first robot technicians into real-world environments. Our mission: Robots to build civilization. We're hiring exceptional engineers and researchers in robot learning and hardware, and seeking deployment partners building and operating data centers. darwinrobotics.ai

63위a16z@a16zX에서 보기

세일즈포스의 존 소모라이와 a16z의 알렉스 임머먼은 현재 스타트업 밸류에이션이 지속하기 어렵고 엑싯 기회가 제한적이라는 점과 상위 1% 성과의 규모가 커졌다는 점을 논의한다.

좋아요 76리포스트 13답글 17노출 21.2K북마크 16

a16z@a16z
John Somorjai of Salesforce on the exit math behind today's startup valuations, and a16z's Alex Immerman on the much bigger outcomes that now drive returns: John: "I think there's a lot of irresponsibility going on. The valuations are of course way too high." "When you think about investing, you want to think about, what are my exit opportunities? And not every company is going to go public. In fact, very, very few companies go public, probably 1% or less." "Once you get above $10 billion, for example, the buyer universe is so small, and yet you're seeing so many of these enormous multi-billion dollar valued companies out there, and there will be a reckoning that happens." "A lot of these companies have valuations that are not sustainable, that they won't be able to grow into, and are also, I think, going to be bad for their employees." Alex: "Part of my optimism comes from what a top one percent outcome was 10 years ago is very different from what a top one percent outcome is today... There have been these larger outcomes that drive the returns for the ecosystem at large." John: "I'm an optimist. I could not do my job if I wasn't an optimist. But just know that I see the thousands of companies every year that don't make it. Because they all come to us to try to be acquired." @jsomorjai @aleximm
a16z@a16z
Salesforce's John Somorjai has spent more than 20 years doing deals for Marc Benioff, from Slack to six rounds of Anthropic, and runs a venture arm that has backed more than 750 companies. His playbook is finding great technology that's starved for distribution and plugging it into 15,000 sales reps. Salesforce piloted Fin on its own help site, where it went live in 14 days and now handles over 40% of the traffic, resolving 65% without a human. John joins a16z's Alex Immerman to discuss why Slack revenue is up almost 3x since the acquisition, how strong revenue can hide the churn that kills deals, the pen test that got into a CEO's laptop, and why robotics is where he's most excited to invest. 0:58 How Marc Benioff spots what to buy 3:48 The 3 tests for every acquisition 5:17 Salesforce's model as AI cuts seats 8:23 Fin resolves 65% with no human 10:32 The power of 15,000 sales reps 14:22 Founders who became product chiefs 17:34 Build vs buy when code is cheap 20:27 Why Salesforce bought Fin 22:58 Why Slack is perfect for AI agents 28:19 Salesforce Ventures' robotics bets 35:46 Why he's wary of new CRM startups 37:53 Why $10B+ startups have few buyers 39:32 Why he backed Anthropic six times 41:50 Red flags that kill acquisitions 44:27 The pen test that sank a deal 46:01 Growing up with a scientist father YouTube: youtu.be/y4BdOtm40SA @jsomorjai @salesforce @aleximm

64위Teknium 🪽@TekniumX에서 보기

28,849회 실험으로 아홉 개 코딩 에이전트 하네스를 비교한 리더보드를 인용하며 헤르메스의 우월성을 농담조로 과시한다.

좋아요 610리포스트 39답글 37노출 34.5K북마크 110

Teknium 🪽@Teknium
Hermes supremacy tweet #9138
Joël Niklaus@joelniklaus
I burned a shitload of compute so you don't have to. Releasing the Harness Leaderboard. Which harness should you run your open model in? I ran 28,849 trials to find out. The leaderboard compares nine coding-agent harnesses on open models. In each comparison only the harness changes: the model, provider and reasoning effort stay fixed, and every task gets three attempts. The trials ran GLM-5.3-Flash, DeepSeek-V4.1-Flash and Flint on Terminal-Bench 2.1 and DeepSWE, for $4,746 of inference. Averaged over the three models, mini-swe-agent (@KLieret), a bash-only agent, solves 51.4% of tasks and @openclaw 27.3%. Four others are statistically tied with mini-swe-agent. One of them is Pi (@pidotdev), at 49.4% for $0.29 per solved task, about 45% less than mini-swe-agent's $0.53. The best harness depends on the model: mini-swe-agent on GLM-5.3-Flash, Hermes Agent (@NousResearch) on DeepSeek-V4.1-Flash and Kimi Code (@Kimi_Moonshot) on Flint. @opencode costs $3.35 per solved task, 11.7 times as much as Pi. See Harness Hub's Harness Lens for what the nine harnesses do differently. It documents the prompts, tools and compaction of 34 coding-agent harnesses and links every claim to its source. Leaderboard: huggingface.co/spaces/joelnik… Harness Lens: huggingface.co/spaces/harness…

65위clem 🤗@ClementDelangueX에서 보기

클레망 델랑그는 데이비드 칸과 마이애미에서 만나 허깅페이스 초기 투자 과정과 지속적인 지원에 감사를 전했다.

좋아요 254리포스트 4답글 31노출 28K북마크 33

66위Brad Flora@bradfloraX에서 보기

브래드 플로라는 10월이 YC 팀들에게 좋은 달이었다고 전했고, 한 창업자의 연간 매출 run rate가 1천만 달러를 넘었으며 전월 대비 60% 증가했다고 밝혔다.

좋아요 166리포스트 8답글 15노출 16.4K북마크 21

67위Dj@buildwithdjdevX에서 보기

Apple Silicon의 Linux에서 서스펜드 중 전력 소모를 macOS 수준인 약 0.05W로 줄이는 절전 기능을 구현해 M4부터 M6까지 적용했고, 곧 메인라인 커널에 반영할 예정이라고 밝혔다.

좋아요 689리포스트 39답글 31노출 30.8K북마크 83

Dj@buildwithdjdev
Finally solved the long-standing issue with Linux on Apple Silicon, power management Neo during suspend now draws **0.05 W** on average, just like macOS. It cuts off the power rail to SoC while keeping DRAM in self-refresh loop and still supports wake over LAN/USB/BT, so it works well in docked setups too And now it's finally possible to just let your Mac running Linux sleep for days without losing battery (well, negligible amounts)! Most of the time was spent covering all sorts of edge cases with USB / weird coprocessor gotchas across suspend As expected, it wasn't too big like the GPU work was (just difficult to get right, and touches a fairly big amount of subsystems to implement suspend/wake in each) - needed me to sit down for a while and actually get it done... it took a lot of tiny details to get here, but I've finally developed a nearly complete understanding of how it works. 2 days into this rabbit hole and the result is, deep sleep works on Neo and expectedly super similar across M4-M6, where deep WFI looks a little different, others on team like Andreas and @tiredkebab have gotten it to work on M1/M2 as well Technical deep dive in a blog post coming soon from me and @RyanTheTide regarding the whole Neo bringup we did in the matter of 2 months, it's been a lot of fun & it's just the beginning of what @AuroraSilicon team is doing with @OmarchyMac Will be working on shipping this feature to our mainline kernel now

68위NVIDIA Newsroom@nvidianewsroomX에서 보기

NVIDIA 뉴스룸은 브루클린 6G 서밋에서 파트너들이 NVIDIA 기술로 차세대 무선 통신을 시연하고 있으며, NVIDIA의 6G 연구를 지원하는 오픈소스 도구를 소개한다고 알렸다.

좋아요 67리포스트 14답글 11노출 15.1K북마크 7

69위Google Cloud@googlecloudX에서 보기

Google Cloud는 11월 9일 오전 9시 PT에 Amin Vahdat와 Mark Lohmeyer가 참여하는 AI 인프라 최신 성과 발표를 예고한다.

좋아요 67리포스트 9답글 6노출 6.1K북마크 7

70위Canos@canos_aiX에서 보기

Canos는 사람용 액체 생검 기술을 개에게 적용해 개의 암을 더 일찍 발견하는 것을 목표로 하는 YC F26 스타트업이며, 개의 4분의 1이 암 진단을 받는다고 설명한다.

좋아요 104리포스트 9답글 36노출 13K북마크 9

Canos@canos_ai
Canos is not Theranos. We ask for a tube🩸 and deliver one thing well: catching cancer in dogs earlier. 1 in 4 dogs are diagnosed with cancer, most found late. Canos (YC F26) 🐕 is changing that by bringing the human liquid biopsy standard to dogs, because they deserve the best.

71위Parker Conrad@parkerconradX에서 보기

parkerconrad는 Rippling이 3분기 한 분기 만에 1억 5천만 달러 이상의 nnARR을 추가했다고 발표하며, 그 성장의 상당 부분이 Rippling AI에서 나왔다고 감사를 전한다.

좋아요 493리포스트 38답글 25노출 69.5K북마크 26

Parker Conrad@parkerconrad
Rippling is celebrating a remarkable business milestone. We added over $150mm in nnARR in a single quarter in Q3. A big part of that is the growth of Rippling AI. I'm incredibly grateful to our employees and customers for believing in us - thank you.

72위Hugo Volz Oliveira@huvoliveiraX에서 보기

Devcon 2027 개최지가 포르투갈 리스본으로 확정되었다는 소식을 전하며, 팀이 3월부터 리스본 유치를 위해 적극적으로 노력해 왔다고 설명했다.

좋아요 172리포스트 13답글 29노출 6.2K북마크 9

Hugo Volz Oliveira@huvoliveira
Back in March, our team submitted a formal proposal for #Devcon9 to be hosted in Portugal's capital, Lisbon. Since then we've been lobbying for this to happen around the clock. Live from Mumbai, we're so happy to share the official announcement: Devcon 2027 will be in Lisbon!
Mario@hypermarioal
The Lisbon Devcon push is real. We're taking the lobby work to Cannes during @EthCC. Me, @pcbo, @onunoreis, @huvoliveira, @rmdmac and the @onchainlisbon team are hosting a casual get-together to move this forward. First round is on @ScopeLift. Register here 👇 luma.com/0joyg1nw

73위Paul Graham@paulgX에서 보기

1950년부터 1954년까지 뇌샤텔 대회에서 매년 우승한 Zenith Cal 135 무브먼트를 소개하며, 큰 밸런스 휠이 그 비결이라고 설명했다.

좋아요 153리포스트 8답글 53노출 33.6K북마크 8

Paul Graham@paulg
The famous Zenith cal 135. The competition version won the Neuchâtel trials every year from 1950 to 1954. The secret is the huge balance wheel (the gold wheel at lower left with the coiled spring in the middle).

75위DHH@dhhX에서 보기

dhh는 M1 Air에서 Omarchy의 깊은 절전 성능이 리눅스 s2idle에 근접했고 평균 소비 전력이 0.05W로 크게 낮아졌다고 알리며, 다음 주쯤 첫 버전을 공개할 수 있을지 물었다.

좋아요 714리포스트 11답글 44노출 35K북마크 28

77위Google Cloud Tech@GoogleCloudTechX에서 보기

Gemini 에이전트는 고유한 신원, 역할 기반 접근 제어, 완전한 감사 로그를 갖추며, 트윗은 Google Cloud Live 특별 에피소드 시청을 권한다.

좋아요 34리포스트 3답글 1노출 4.9K북마크 14

78위Pavan Kalyan@tpavankalyan23X에서 보기

세 AI 모델이 만든 3D 만화 캐릭터를 전문 아티스트 작품과 비교한 결과, 최고 점수는 형태 유사도 94점이었지만 얼굴 표정이 아티스트의 진지한 느낌과 달리 눈이 크게 뜬 모습으로 틀렸다.

좋아요 13리포스트 6답글 2노출 3.3K북마크 5

Pavan Kalyan@tpavankalyan23
We had three AI models build cartoon characters in 3D and compared each one with a professional artist's model of the same character. The best build scored 94/100 for shape similarity. It still got the face wrong. The artist's character looks serious. The AI's looks wide-eyed.

79위Google Cloud Tech@GoogleCloudTechX에서 보기

기업 데이터의 대부분이 활용되지 않은 dark data인데, Smart Storage는 데이터가 있는 곳에서 분류해 에이전트가 추론할 수 있게 한다고 홍보한다.

좋아요 40리포스트 10답글 3노출 6.5K북마크 14

80위GitHub@githubX에서 보기

깃허브 코파일럿으로 3D 프린팅 작업을 도울 수 있으며, 카시두가 이 도구로 깃허브 스타일 마이크 스탠드를 커스터마이즈할 때 쓴 프롬프트를 공유했다.

좋아요 15리포스트 1답글 4노출 4.6K북마크 5

81위Google Cloud Tech@GoogleCloudTechX에서 보기

BigQuery와 Dataform에 새 폴더 기능이 추가되어 대량 이동과 삭제, 전체 경로 보기가 가능해졌으며 관련 가이드 두 개가 함께 안내된다.

좋아요 32리포스트 6답글 0노출 5.5K북마크 10

82위BrendanEich@BrendanEichX에서 보기

구글 제미나이가 어떤 글을 극찬했으며 그 평가가 틀리지 않다고 전한다.

좋아요 12리포스트 3답글 0노출 5.6K북마크 3

83위TypeSafe AI@typesafeaiX에서 보기

typesafeai는 누구나 바이브코딩으로 앱을 만들 수 있게 된 것이 정말 쉬운지 묻고, 자사 Hypership의 13주년 행사 소식을 홍보하며 기능 요청과 버그 보고를 독려한다.

좋아요 65리포스트 3답글 4노출 10K북마크 15

TypeSafe AI@typesafeai
oh so everybody vibecoding their own app is easy now? just a slop cannon away from everything you want in life? prove it! hypership your dreams into reality today
Product Hunt 😸@ProductHunt
Hypership is BACK for our 13th birthday!! Celebrate with us by requesting features and reporting bugs on the launches featured on today's leaderboard. To those who ship, you have a chance to win credits from @typesafeai and @supabase! Makers, how fast can you get features to prod?

84위Google Cloud@googlecloudX에서 보기

구글 클라우드의 제미나이 4 아르곤이 고객사 평가에서 90% 이상의 점수를 기록했으며, 앰플리튜드가 이를 활용해 데이터 시각화를 개선한 사례를 인터뷰 영상으로 소개한다.

좋아요 23리포스트 5답글 1노출 3.5K북마크 5

85위Uncle Bob Martin@unclebobmartinX에서 보기

유튜브 영상에서 사이버트럭이 취소되었다는 주장과 그 이유를 다룬다고 소개한다.

좋아요 14리포스트 1답글 2노출 12.9K북마크 3

86위a16z@a16zX에서 보기

Ben과 Felicia Horowitz가 설립한 Paid in Full 재단은 힙합 선구자들에게 조건 없이 5년간 보조금을 지급하며, 이 내용을 다룬 Jeff Weiss의 기사와 2026 Hip Hop Grandmaster Awards를 소개한다.

좋아요 24리포스트 5답글 2노출 13.3K북마크 5

a16z@a16z
“Founded by Ben and Felicia Horowitz, the Paid in Full Foundation honors the hip-hop immortals whose artistic contributions far outweigh the financial remuneration they received in return.” “As Ben described Eric B. & Rakim’s debut masterpiece, the foundation’s namesake Paid in Full: ‘I bought it for $10 and got at least $5 million worth of value out of it. It needed to be paid back.’” “Each honoree receives a five-year grant with no strings attached. Inspired by Quincy Jones’ work with the Jazz Foundation, the grants have allowed past recipients, among them Rakim, Scarface, George Clinton, Roxanne Shanté, Grandmaster Caz, Kool Moe Dee, Grand Puba, and Kool G Rap, to purchase homes, pay off medical bills, and finish long-delayed creative projects.” “Of course, a few grants a year can’t repay an entire generation, but they’re a start. Paid in Full refuses to let these cultural giants languish in our midst, and its grants have fundamentally changed the artists’ lives, though still not as much as the artists changed ours.” Full piece from acclaimed music journalist Jeff Weiss on the Paid in Full Foundation’s 2026 Hip Hop Grandmaster Awards: @Passionweiss
a16z.newsHip-Hop Has No Social Security. Paid in Full Is Trying to Change That.

87위Google Cloud@googlecloudX에서 보기

UKG는 Gemini를 활용해 8만 개 조직에서 수천만 명의 직원 업무를 바꾸고, HR 기록 시스템을 실행 중심 시스템으로 전환하고 있다.

좋아요 28리포스트 3답글 3노출 3.7K북마크 4

88위BrendanEich@BrendanEichX에서 보기

이번 사태는 과거 주택담보대출 부실과 달리 캘리포니아가 중개자가 되어 은행가와 사모펀드가 수수료와 이익을 챙기고 손실은 나중에 다른 사람들이 떠안게 만드는 구조라고 비판한다.

좋아요 22리포스트 0답글 1노출 1.1K북마크 1

89위BrendanEich@BrendanEichX에서 보기

Eva Marie Saint의 별세를 애도하며, 그녀가 출연한 영화를 극장에서 본 일화와 함께 그녀에게 감사를 전한다.

좋아요 23리포스트 3답글 0노출 7K북마크 1

BrendanEich@BrendanEich
RIP Eva Marie Saint, July 4, 1924 – October 6, 2026.
youtube.comNorth by Northwest (1959) - Mount Rushmore Scene (9/10) | Movieclips
BrendanEich@BrendanEich
youtube.com/watch?v=8Ttqph… First comment: "Perfect movie Perfect music Perfect actors Lov & gratitude Hitch 📷" Saw this at the Stanford Theatre recently, old-time prices, the Mighty Wurlitzer playing beforehand. Someone shouted out kudos to Eva Marie Saint (101), still with us.

90위Sayak Paul@RisingSayakX에서 보기

Hugging Face 팀이 QAI와 협력해 7일까지 도하에서 해커톤을 열며, 이 지역에서 흥미로운 것을 만들 계획에 들떠 있다고 밝힌다.

좋아요 72리포스트 2답글 3노출 12.7K북마크 2

92위Uncle Bob Martin@unclebobmartinX에서 보기

파키스탄 핵 과학자 A. Q. 칸의 이야기를 다룬 유튜브 영상을 공유하며 이란이 핵무기를 만들지 못하는 이유를 설명한다.

좋아요 6리포스트 0답글 0노출 5.5K북마크 6