2026년 10월 27일

홈 타임라인 게시물 86개, 인기순

1위Google DeepMind@GoogleDeepMindX에서 보기

구글 딥마인드가 실시간으로 장면의 반응, 소리, 사람들의 움직임과 대화를 탐색할 수 있는 가장 사실적이고 상호작용적인 월드 모델 Genie 4를 소개한다.

좋아요 14.4K리포스트 1.6K답글 620노출 1.5M북마크 5.9K

2위Axiom@axiommathaiX에서 보기

Axiom은 약 15,000쪽 분량으로 100명 넘는 수학자가 만든 유한 단순군 분류 증명 전체를 Lean으로 자동 형식화해 컴퓨터로 검증했다고 발표한다.

좋아요 4.9K리포스트 2.6K답글 323노출 1.9M북마크 2K

Axiom@axiommathai
The largest math proof in human history is now computer-verified. Today, Axiom announces a complete Lean auto-formalization of the Classification of Finite Simple Groups, the "periodic table of symmetry." About 15,000 pages, built by over 100 mathematicians across generations.

3위Polyfork@Polyfork3dX에서 보기

Polyfork3d는 게임에 바로 쓸 수 있는 매개변수 조정형 3D 모델 2,600여 개를 무료로 공개했고 매주 200개씩 더 추가할 예정이라고 발표했다.

좋아요 1.1K리포스트 77답글 18노출 51.7K북마크 1.5K

Polyfork@Polyfork3d
📦 NVIDIA did it first, now we are releasing 2,600+ free game-ready 3D models (+200 each week). For good. 🎛️ Each model is a program, with parameters you can tweak to customize look, state, season, color, wear, etc. All thanks to the $500,000 in funding we received from @xprize and @GeminiApp and all of our early individual funders, thank you all! Go build. polyfork.dev
Oliver Prompts@oliviscusAI
NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯 A 472GB collection covering everyday objects, tools and industrial equipment. It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments. - Train robots to pick up and move objects - Build virtual factories and warehouses - Generate labelled training images - Populate 3D scenes with ready-made objects Useful for robotics research, digital twins and anyone building detailed virtual environments. Download the collection below 👇

4위Y Combinator@ycombinatorX에서 보기

AI의 병목은 모델을 넘어 하드웨어, 인프라, 금융 시스템, 전문 소프트웨어로 옮겨가고 있으며, Y Combinator는 이를 실제 경제에 적용하는 스타트업에 관심을 갖고 있다고 밝힌다.

좋아요 1.2K리포스트 95답글 70노출 127K북마크 1.1K

5위Liquid AI@liquidaiX에서 보기

Liquid AI가 텍스트, 오디오, 비전, 옴니 모달리티와 의사결정 모델을 포함한 LFM3 모델 패밀리를 공개했으며, 이를 특화된 지능용으로 맞춤 조정해 기기에서 실행할 수 있다고 소개했다.

좋아요 4.3K리포스트 1.2K답글 305노출 851.6K북마크 3.7K

Liquid AI@liquidai
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages. > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language. > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒 Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ 🧵

6위Patrick Collison@patrickcX에서 보기

작성자는 기업 간 즉시 송금인 A2A 결제가 개인 간 P2P 결제보다 더 중요해질 것이라고 주장한다.

좋아요 901리포스트 46답글 61노출 67.3K북마크 315

7위Anthropic@AnthropicAIX에서 보기

Anthropic은 여섯 개 신약 개발 기관과 깊이 협력하고 자체 신약 발굴에도 나섰으며, Claude가 신약 개발의 여러 단계를 지원할 수 있음을 보여주는 초기 결과를 블로그에 공유했다.

좋아요 5K리포스트 480답글 359노출 724.7K북마크 1.5K

Anthropic@AnthropicAI
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of drug development. In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.comEarly progress on accelerating drug development with Claude

8위Google AI@GoogleAIX에서 보기

Google DeepMind의 Genie 4는 자연어로 날씨, 카메라, 환경 요소를 실시간으로 바꿀 수 있는 가장 사실적이고 상호작용적인 월드 모델이며, 뒤에서 Gemini가 시뮬레이션의 두뇌 역할을 하고 주변 소리와 실시간 대화도 지원한다.

좋아요 1.7K리포스트 182답글 77노출 123.3K북마크 396

Google AI@GoogleAI
Introducing Genie 4 from @GoogleDeepMind, our most realistic and interactive world model yet 🌍 Now you can use natural language to dynamically steer the world and its soundscape in real-time, whether you're changing the weather, moving the camera, or introducing new elements to the environment. So, how does the model do that? Behind the scenes, Gemini acts as the "brain" of the simulation. It translates your requests into actions, plans out complex events, watches the scene unfold to keep track of what's happening, and adjusts as you change the story. Genie 4 also introduces ambient audio and real-time interactive human dialogue that adapts on the fly.

9위Google@GoogleX에서 보기

Google은 Google DeepMind의 새로운 대화형 월드 모델 Genie 4를 발표했다.

좋아요 4.9K리포스트 484답글 212노출 563.2K북마크 1K

10위Mitchell Hashimoto@mitchellhX에서 보기

Mitchell Hashimoto는 어디서나 쓸 수 있는 libghostty가 6개월 동안 여러 플랫폼과 언어를 지원하고 JetBrains 등 많은 곳에 쓰이게 되었으며, 곧 1.0 출시와 ABI 안정성 선언을 계획하고 있다고 밝혔다.

좋아요 779리포스트 36답글 41노출 32K북마크 145

Mitchell Hashimoto@mitchellh
Libghostty progress in the past 6 months. It's amazing that NOTHING IN THIS LIST was true 6 months ago, and now its ALL VERY REAL. I remember bringing up the idea of libghostty 4 years ago and most people saying "but why." I did it anyways. And here we are! Text reproduced in case its easier to read this way: As a reminder, libghostty is the highly portable, embeddable library that provides core terminal emulation, render state, and more. I always felt that a free, high qualty, lightweight, reusable terminal emulation core would benefit the developer world more than any single GUI application. And that is playing out! It is and always was my true purpose with the Ghostty project (I said this in my first ever talk about Ghostty!). I've jokingly said many times that Ghostty GUI is just a glorified tech demo for libghostty. That's not fair though, because GUI is great and there are really talented people working on it. Since I started the project, Ghostty has always gotten people saying "I don't understand why you'd start a terminal emulator today." Well, the answer is libghostty. It's truly unique and its enabling something special (imo!). Highlights of libghostty since 6 months ago (none of the below was true 6 months ago): - Libghostty has nearly 100% coverage of all of Ghostty's core (and you can compile with flags to remove any of these features for size/safety): libghostty.tip.ghostty.org - Libghostty now builds and is tested (in CI) for: Apple (macOS, iOS, visionOS), Windows (MSVC and GNU), Linux, FreeBSD, Android, WebAssembly, and freestanding (i.e. direct on hardware with no OS). - Libghostty has bindings in pretty much every popular programming language: C, Zig, Go, Swift, Python, Rust, .NET, etc. - Libghostty's memory requirements have dramatically shrunk to enable the portability above. There's still work to do but a single empty terminal now takes 90% less memory. And at scale I've proven 10,000 active (input/output happening) terminals on a Linux server with 4 cores and 8 GB of RAM. - Libghostty powers all JetBrains IDE terminals, over 12.5 million active users. blog.jetbrains.com/platform/2026/…... - Libghostty is the most popular core behind the wave of venture-backed "agentic" terminals and editors, such as Herdr, cmux, and many others. - Libghostty is being discussed and has been verbally accepted to replace the terminal core in Neovim: github.com/neovim/neovim/… (work still to be done) - Libghostty powers a really popular and powerful terminal emulator for emacs (Ghostel): github.com/dakra/ghostel - Libghostty's speed is used by Antithesis to fuzz popular terminal programs and has directly led to hundreds of bug fixes sent upstream to programs such as tmux, btop, shells, and other terminal emulators. :) - And so much more: github.com/Uzaaft/awesome… Libghostty is really successfully turning into the tide that raises all boats. As it becomes more popular, Ghostty itself gets more performant and stable, and so does everyone else. It is also a vehicle for delivering modern terminal emulation to the widest source possible. I plan on tagging libghostty 1.0 in the next few months and declaring ABI stability at that point!

11위Mitchell Hashimoto@mitchellhX에서 보기

Ghostty 1.4가 출시되어 Kitty 그래픽 애니메이션, 스크롤백 압축, 대폭 개선된 메모리 사용량, Linux 렌더러, ghostty +ssh 등이 추가되었고 보안 취약점 10건도 수정되었으니 업데이트를 권장한다고 알렸다.

좋아요 3.3K리포스트 209답글 89노출 85.7K북마크 420

Mitchell Hashimoto@mitchellh
Ghostty 1.4 is now out! Full Kitty graphics with animation (the first terminal besides Kitty to do it), scrollback compression for much lower memory usage, macOS 27 support, a new OpenGL renderer on Linux, ghostty +ssh, big performance gains, and hundreds more changes. The highlights: - Scrollback compression: scrollback compresses ~90+% on average, meaning your terminals use that much less live memory - Huge memory savings across the board: no single large thing, just lots of good improvements lowers memory usage everywhere, netting anywhere from 50 to 90% less memory usage depending on workload - Kitty graphics is now 100% complete, including animation and relative placements, after a full conformance pass against the spec and Kitty itself - The Kitty clipboard protocol, with an image preview when a program asks to read your clipboard - Split drag and drop on Linux, including between windows - ghostty +ssh installs terminfo on remote hosts automatically, so things just work over SSH - Lots of terminal emulation accuracy fixes This release is 7 months of work from 172 contributors over 2,889 commits. It also fixes 10 security advisories, so please update. Full release notes:
ghostty.org1.4.0 - Release Notes

12위Anthropic@AnthropicAIX에서 보기

Anthropic이 OneGov 계약으로 Claude를 연방, 주, 지방, 부족, 준주 정부 전반에 40% 할인가로 제공하도록 GSA와의 파트너십을 확대한다고 발표했다.

좋아요 938리포스트 46답글 155노출 88.5K북마크 106

13위Paul Graham@paulgX에서 보기

paulg는 1990년대와 비교해 뉴욕이 훨씬 부유하고 깨끗해졌으며 키가 크고 좁은 새 건물이 늘었지만 보도에서 대마 냄새가 난다고 관찰했다.

좋아요 1.4K리포스트 19답글 124노출 103.5K북마크 116

14위Mitchell Hashimoto@mitchellhX에서 보기

JetBrains IDE의 터미널이 libghostty 기반으로 바뀌어 약 1,250만 명의 사용자가 성능과 기능 향상을 누리게 되었고, Mitchell Hashimoto는 libghostty가 Ghostty 프로젝트의 핵심 목표였다고 강조하며 기뻐한다.

좋아요 2.3K리포스트 96답글 74노출 55K북마크 184

Mitchell Hashimoto@mitchellh
JetBrains IDEs are now powered by libghostty! This brings huge feature and performance improvements to JB terminals! Based on their own annual reports, that's over 12.5 million active users across all platforms about to get a libghostty-powered terminal. blog.jetbrains.com/platform/2026/… I'll repeat myself: libghostty is and was always the primary goal of the Ghostty project (I said this in the first public talk I ever gave about Ghostty). The importance and impact of a free, liberally licensed, high quality terminal emulator library that runs anywhere and everywhere dwarfs any single terminal emulator application on its own. I've estimated Ghostty's (GUI, not libghostty) own users at around a couple million. Overnight, 6x that are using a libghostty-powered terminal. From one integration. Happy to see this, happy to hear JetBrains had a positive experience, and looking forward to continuing to improve and ship a stable libghostty tag soon!
blog.jetbrains.comThe Terminal in JetBrains IDEs Now Runs on libghostty - The JetBrains Blog

15위DHH@dhhX에서 보기

dhh는 캘리포니아에서 설계되고 미국에서 만들어진 BlueChip 컴퓨터를 보고 여기에 Omarchy를 설치하고 싶다고 반응했다.

좋아요 1.1K리포스트 22답글 39노출 38K북마크 62

DHH@dhh
This is so bad ass. We gotta get Omarchy running on this thing, @PalmerLuckey!
Palmer Luckey@PalmerLuckey
American glass. American metal. American silicon. American batteries. American workers. American everything. BlueChip is the first American computer in decades. Don't let anyone lie to you and say it can't be done. Designed in California. Built in America.

16위NASA@NASAX에서 보기

NASA는 @astro_anil과 @astro_kutryk 두 우주비행사가 10월 29일 우주정거장에서 새 태양전지 어레이를 설치하는 작업을 진행하며, 이를 생중계한다고 알렸다.

좋아요 1.4K리포스트 171답글 112노출 484.1K북마크 60

17위a16z@a16zX에서 보기

모든 기업이 같은 프런티어 모델을 쓰는 상황에서 차별점은 기업 고유의 데이터와 정의를 에이전트가 학습하는 데 있으며, Databricks는 이를 위해 에이전트용 기록 시스템을 제시한다고 설명했다.

좋아요 219리포스트 19답글 19노출 23.6K북마크 298

a16z@a16z
Every company can rent the same frontier models, so the edge comes from what a company's agents learn about its own business. Databricks' answer is a system of record built for agents. Before an agent can be trusted with real work, that record has to tell it: 1. What's true: the company's own data 2. What it means: how the business defines things (grounding agents in it raised accuracy from about 50% to 84.5% in Databricks' testing) 3. What it's allowed to do: an identity, a budget, and guardrails 4. Whether it worked: grading against the company's own definition of good Feed every correction back into the record, and the company keeps what it learns even when the model changes. "If you replace the AI model at your company and the new one inherits your definitions, permissions, evaluated cases, customer history, and hard-won exceptions, that is a foundation for a sustainable competitive advantage." From the latest Profiles of the Future by @bhorowitz and @mikemcg0 on Databricks & the Future of the Firm: a16z.news/p/databricks-a…
benahorowitz.eth@bhorowitz
x.com/i/article/2115…

18위Ben Burtenshaw@ben_burtenshawX에서 보기

Hugging Face가 Beam 모델을 활용한 데모, 양자화, 데이터셋 생성, RL 환경 구축, 벤치마크 등의 챌린지를 열어 11월 2일까지 참여자 중 3명에게 총 2만 달러의 상금을 주고 선착순 400명에게는 크레딧을 제공한다고 밝혔다.

좋아요 146리포스트 24답글 9노출 13.3K북마크 175

Ben Burtenshaw@ben_burtenshaw
You can win $20K in cash prizes by building a demo, training a model, or creating a dataset with Beam by @reflection_ai! Prizes are split across 3 winners that we'll choose after the challenge ends on Monday, November 2nd. Plus, we're giving $25 hub credits to the first 400 to take part, just find the link in the page below. Rules: Build something cool with beam and drop it on the discussion! Anything that might be helpful to the world or a cool demo is allowed: - You could make a demo that uses the Beam model on Spaces - You could quantize it for your favorite hardware - You could generate a synthetic dataset for your favorite problem - You could build an RL environment with or for Beam - You could benchmark Beam and share the results. - You could surprise us! If you build something with Beam, then share it on the Hub to enter the challenge. We’ll collect all the links, select the best, and reach out to winners. huggingface.co/reflection/Bea…

19위Yahia Bakour@mynameisyahiaX에서 보기

URL을 입력하면 구글 지도, 인스타그램, 틱톡 등에서 깔끔한 JSON 데이터를 얻을 수 있는 Parsers가 출시되었다.

좋아요 509리포스트 24답글 57노출 27.3K북마크 483

Yahia Bakour@mynameisyahia
Introducing Parsers > Google Maps > Instagram > TikTok > G2 > App stores URL in, clean JSON out, only a little magic involved reviews, profiles, posts, contacts are all one API call away we wrote the parsers so you don't have to go build something cool :)

20위TypeSafe AI@typesafeaiX에서 보기

TypeSafe AI가 10,000개 이상의 도구와 모델을 하나의 MCP로 연결해 작업에 맞는 도구를 골라주는 Jev Router를 소개하며, Claude보다 96% 저렴하다고 주장하고 처음 100명에게 promo 코드를 준다고 홍보했다.

좋아요 101리포스트 6답글 3노출 11.1K북마크 88

21위a16z@a16zX에서 보기

Alpha School의 Joe Liemandt는 AI를 1910년 트랙터 도입기에 비유하며, 과거 농업 사회가 교육을 바꾼 것처럼 지금 부모들도 자녀의 미래를 다시 생각하고 학교 체제를 새롭게 바꿔야 한다고 주장했다.

좋아요 208리포스트 25답글 28노출 26.3K북마크 152

a16z@a16z
Joe Liemandt of Alpha School on why AI is today's 1910 tractor moment, and why parents once again have to rethink their kids' future: "In 1910, 90% of America had an 8th grade education. There were basically no high schools. And over 30% of America is a farmer. So everybody's on the farm, 8th grade was enough." "Then in 1910, the Case tractor rolled up on the American farm. You can go look at the ads, it literally looks like an Anthropic ad. 'Does the work of 50 programmers. Does the work of 50 farm hands.'" "Literally everybody in America realized 30% of the jobs are going away. That path is gone, and we have to get our kids ready for this new future. And it was that same recognition I think that parents have today." "What America did back then... they voted to fund an education that they never experienced. They knew they had to do something different than their background, see the world differently, to get their kids ready and get them the good jobs." "That school system became the industrial system we've had the last 100 years. It served us really well for 100 years, but now it's time for the next change." @jliemandt
a16z@a16z
What should school look like if AI can help students learn dramatically faster? Alpha School principal Joe Liemandt joins a16z's Erik Torenberg and Gagan Biyani of Horowitz Andreessen Academy (HAA) to discuss Alpha's model, where an AI learning engine compresses core academics into two hours a day and students spend the rest on teamwork, entrepreneurship, and other real-world skills. They explore why high standards make kids happier, how HAA is using motivation and real-world building to redesign college, what parents need to believe before choosing a new kind of school, why Joe expects AI to drive an explosion in entrepreneurship, and why Gagan thinks students should pick what they care about over whichever field seems safest from AI. 0:40 How Alpha reinvented the school day 4:47 Making Alpha believable at scale 6:13 Why kids want to do hard things 8:30 Fifth graders vs. the Wharton MBA test 10:48 Keeping kids in the 80 to 85% zone 13:08 Gagan on redesigning college 15:00 Why Stanford and MIT kids are terrified 19:30 Why college lectures are dying 22:45 Why Ivy League parents want a new path 25:00 The 1910 tractor moment for education 27:02 Why families should take the risk 34:35 Joe's dad on his Stanford dropout 42:10 What to study when AI is everywhere 48:33 Founders School's $1M guarantee 51:53 A 14-year-old cold calls Jensen YouTube: youtu.be/T4u2FoIm3pw @jliemandt @gaganbiyani @eriktorenberg

22위a16z@a16zX에서 보기

Databricks CEO Ali Ghodsi는 기업 AI의 병목은 모델 지능이 아니라 조직 고유의 맥락이라며, 최첨단 모델이 발전을 멈춰도 대부분의 조직에는 큰 차이가 없다고 주장했다.

좋아요 123리포스트 16답글 26노출 21.4K북마크 84

a16z@a16z
Databricks CEO Ali Ghodsi says if frontier models stopped advancing, it wouldn't matter for most orgs because enterprise AI is bottlenecked on context, not intelligence: "There's no agentic work that's automated the whole enterprise. That has just not happened. Why is that? The real reason is the models are smart enough, but they just don't have the context that exists inside of any organization." "They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes. There's always a couple of employees who know everything in every organization. You go tap on their shoulder, and everybody's like, 'Oh my God, what would happen if he or she quits?'" "If you just fused that and gave that context into the AI models, just the frontier today, I think there's so much productivity gains you could get for any organization on the planet." "For that, we actually don't need smarter models... If the frontier doesn't advance, it doesn't actually matter for the vast majority of organizations on the planet. They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." @alighodsi Read the latest Profiles of the Future by @bhorowitz and @mikemcg0 on Databricks & the Future of the Firm: a16z.news/p/databricks-a…
benahorowitz.eth@bhorowitz
x.com/i/article/2115…

23위a16z@a16zX에서 보기

AI 에이전트가 완료할 수 있는 소프트웨어 작업의 길이는 2019년 이후 약 7개월마다 두 배로 늘었고, 기업들은 여전히 AI가 Salesforce 기록을 안정적으로 갱신하는 것을 신뢰하지 못하는데 Databricks CEO는 문제가 지능이 아니라 문맥에 있다고 말하며 에이전트용 기록 시스템을 제시한다.

좋아요 430리포스트 68답글 66노출 43.3K북마크 280

a16z@a16z
The length of software tasks AI agents can complete has doubled roughly every 7 months since 2019, and recent models are moving even faster, from 30 seconds of human work in 2022 to a full workday today. Yet inside most companies, AI still isn't trusted to reliably update records in Salesforce. "AI does not have an intelligence problem," says Databricks CEO Ali Ghodsi. "It has a context problem." Ali's answer is what he calls a "system of record for agents." From the latest Profiles of the Future by @bhorowitz and @mikemcg0 on Databricks & the Future of the Firm: a16z.news/p/databricks-a…
benahorowitz.eth@bhorowitz
x.com/i/article/2115…

24위a16z@a16zX에서 보기

a16z 대담에서는 Alpha School의 AI 학습 모델, 즉 핵심 학과를 하루 두 시간으로 압축하는 방식과 AI 시대의 교육, 대학, 진로 선택 방향을 논의한다.

좋아요 152리포스트 19답글 22노출 46.4K북마크 98

a16z@a16z
What should school look like if AI can help students learn dramatically faster? Alpha School principal Joe Liemandt joins a16z's Erik Torenberg and Gagan Biyani of Horowitz Andreessen Academy (HAA) to discuss Alpha's model, where an AI learning engine compresses core academics into two hours a day and students spend the rest on teamwork, entrepreneurship, and other real-world skills. They explore why high standards make kids happier, how HAA is using motivation and real-world building to redesign college, what parents need to believe before choosing a new kind of school, why Joe expects AI to drive an explosion in entrepreneurship, and why Gagan thinks students should pick what they care about over whichever field seems safest from AI. 0:40 How Alpha reinvented the school day 4:47 Making Alpha believable at scale 6:13 Why kids want to do hard things 8:30 Fifth graders vs. the Wharton MBA test 10:48 Keeping kids in the 80 to 85% zone 13:08 Gagan on redesigning college 15:00 Why Stanford and MIT kids are terrified 19:30 Why college lectures are dying 22:45 Why Ivy League parents want a new path 25:00 The 1910 tractor moment for education 27:02 Why families should take the risk 34:35 Joe's dad on his Stanford dropout 42:10 What to study when AI is everywhere 48:33 Founders School's $1M guarantee 51:53 A 14-year-old cold calls Jensen YouTube: youtu.be/T4u2FoIm3pw @jliemandt @gaganbiyani @eriktorenberg

25위a16z@a16zX에서 보기

Ali Ghodsi는 Databricks가 기업 가치의 약 여섯 배에 달하는 인수 제안을 거절하게 된 과정을 Ben Horowitz와의 대화를 통해 회상하며, 좋은 기회와 훌륭한 창업자가 함께 있었기에 계속 가야 한다는 판단을 내렸다고 말한다.

좋아요 154리포스트 11답글 17노출 35.4K북마크 96

a16z@a16z
About a decade ago, Databricks got an acquisition offer at roughly six times its valuation at the time. CEO Ali Ghodsi tells the story of the conversation with Ben Horowitz that made him turn it down: Ben: "You just don't get this good of a market opportunity with this good of an entrepreneur. That's the rarest of rare things." "We see great entrepreneurs, but their market opportunity is limited, and then we see companies that have a great market opportunity, but the entrepreneur is not big enough to fulfill that... But this was a case where we had both." Ali: "The acquisition offer was on the table... I had made the mistake of telling my co-founders, and they were like, 'Take your hands off the keyboard. Nobody work anymore. We're done here. Let's count my money.'" "And I was like, 'Maybe they're right. Maybe we should just sell.' And I remember having that conversation with Ben." "He said, 'If you sell for this number, it's really great for me. I'll pay the investors back many times over... But if you're like me, you're gonna look back the rest of your life thinking, I missed that one shot. I should have taken it all the way. And now I'll never know how far I could have taken it. So do you wanna live with that, or do you wanna just have the money?'" "And I was like, 'Okay, thanks.' Hung up the phone. 'We're never doing this. This is not happening.'" @alighodsi @bhorowitz Read the latest Profiles of the Future by @bhorowitz and @mikemcg0 on Databricks & the Future of the Firm: a16z.news/p/databricks-a…
benahorowitz.eth@bhorowitz
x.com/i/article/2115…

26위TypeSafe AI@typesafeaiX에서 보기

typesafeai는 기술이 발전할수록 웹사이트와 앱이 무거워지고 느려지고 복잡해졌는데 AI도 그 흐름을 이어왔지만 이제는 달라지고 있다고 주장했다.

좋아요 147리포스트 5답글 6노출 14.8K북마크 86

TypeSafe AI@typesafeai
for years, better tech has meant more bloat, slower and less responsive websites and apps, confusing and confused interfaces weird how AI has continued that trend. real weird. not anymore.
Lightpanda@lightpanda_io
Things are getting serious @typesafeai Jev now handles logins in Lightpanda's agent. It picks the username field, password field and submit button from the page. > Jev: 0.53s, 2 calls > Claude Haiku 5.5 with browser tools: 7.83s, 8 tool calls github.com/lightpanda-io/…

27위Ajay Misra@ajaymisraaaX에서 보기

OpenRouter는 에이전트가 하나의 API 키로 무엇이든 결제할 수 있도록 하는 o11을 선보이며 유료 인터넷 서비스를 출시했다.

좋아요 156리포스트 11답글 23노출 16.2K북마크 84

Ajay Misra@ajaymisraaa
We're launching OpenRouter for the paid internet. Agents will be the next trillion users. They'll need to buy things, but shouldn't have to manage thousands of accounts, API keys, and subscriptions to do it. We built o11 so agents can pay for anything with one API key.

28위Aditya Vellanki@aditya_vellankiX에서 보기

Sentient OS가 밤새 사용자의 일상을 이해하는 온디바이스 로컬 LLM 기반 AI를 출시했으며, 무제한 추론으로 두 가지 새로운 경험을 제공한다고 발표했다.

좋아요 258리포스트 25답글 76노출 271.5K북마크 134

29위Emanuil Rusev@erusevX에서 보기

llama.cpp 팀과 함께 만든 Llama는 Mac 메뉴바에서 오픈 모델을 실행하는 작은 앱이며, 35초짜리 시연 영상이 공개되었다.

좋아요 112리포스트 9답글 15노출 18K북마크 54

30위Garry Tan@garrytanX에서 보기

Garry Tan은 Capy 소프트웨어 팩토리 덕분에 GitHub 기여 그래프가 정상화되었고, GStack과 GBrain에서 10~20개의 서브에이전트를 상시 돌리고 있다고 자랑했다.

좋아요 79리포스트 6답글 43노출 18.9K북마크 37

Garry Tan@garrytan
The @capydotai software factory renormalization of your GitHub contribution colors is real Here is mine 👀 I was no token slouch before but wow the PRs are hot and heavy with Capy Captains (10 to 20 subagents running at all times on GStack and GBrain)
Arjun Lall@_arjun
ok, after a few weeks I can confidently say @capydotai has completely changed how I work for the better. I'm now able to stay on top of 5-10+ things going on in parallel, something I've always struggled with before contrib graph now looks like I've done jack shit before, but its just normalized thanks for the tip @garrytan

31위Garry Tan@garrytanX에서 보기

garrytan은 에이전트 여러 개를 메시지 보드로 엮어 함께 일하게 하는 에이전트 스웜이 단일 에이전트보다 훨씬 많은 일을 할 수 있어 큰 돌파구가 될 것이라고 주장했다.

좋아요 302리포스트 17답글 108노출 29.3K북마크 138

32위Sam Bhagwat@calcsamX에서 보기

MCP 서버가 실패한 배포나 병합된 PR 같은 이벤트를 발행하고 클라이언트가 구독할 수 있는 MCP 이벤트 지원이 출시되었다.

좋아요 77리포스트 12답글 13노출 7.8K북마크 33

33위Arushi Gandhi@arushi_resslX에서 보기

Avatar Arena는 사용자가 15초 영상을 녹화하거나 스톡 아바타를 골라 여러 AI 영상 모델의 결과물을 비교해 투표하는 서비스로, 투표 결과는 리더보드로 공개될 예정이다.

좋아요 337리포스트 24답글 69노출 28.8K북마크 142

Arushi Gandhi@arushi_ressl
Very excited to launch Avatar Arena! 🤖 Video is the highest-trust medium for human communication, and when it works, it works better than anything else. And, AI models have just started to come around to supporting high-quality, studio-grade video generation. If you're someone with use cases for AI video - like product demos, ad hooks, founder updates, or podcast promos - we'd love for you to try us out. You can generate avatar vids by recording a 15-second clip of yourself or just going with a stock avatar. Two AIs will give you their best shot of bringing your vision to life and you choose one! Avatar Arena currently supports models from - @HeyGen, @synthesiaIO, @veedstudio, @Creatify_AI , Captions, @Jogg_ai, @tavus and @runwayml. All the votes over the next few weeks go into a leaderboard, which we'll publish soon. Try it @ arena.newmeasure.ai :) (Could you tell the vid below is AI? 👀)

34위a16z@a16zX에서 보기

Horowitz Andreessen Academy의 Gagan Biyani는 미래에 대비하는 가장 좋은 방법은 안전해 보이는 분야를 고르는 것이 아니라 좋아하는 분야에서 AI 네이티브가 되는 것이라고 말하며, 방어적 태도보다 주도적 자세가 중요하다고 강조했다.

좋아요 46리포스트 10답글 13노출 11.8K북마크 19

a16z@a16z
Gagan Biyani of Horowitz Andreessen Academy (HAA) on why the best way to future-proof a career is being AI-native in whatever field you love: "The question of, 'What field should I study so that I can be sure that I'm resilient to the future?' is not the right question." "The question is, 'What field am I interested in?' I have enough faith that if you're AI-native in any field, it does not matter." "A lot of people are concerned about coding or math. There's gonna be a whole new type of coding and math that happens with the AI-native mathematicians." "The new students who love math, they're gonna do just fine. In fact, they're gonna go and do things none of us ever thought possible." "That's actually something that we were trying to screen for at HAA. We really don't want someone who's like, 'I wanna make sure I'm resilient to the future.' It's a very defensive way of approaching the world, and we want you to be on offense." @gaganbiyani
a16z@a16z
What should school look like if AI can help students learn dramatically faster? Alpha School principal Joe Liemandt joins a16z's Erik Torenberg and Gagan Biyani of Horowitz Andreessen Academy (HAA) to discuss Alpha's model, where an AI learning engine compresses core academics into two hours a day and students spend the rest on teamwork, entrepreneurship, and other real-world skills. They explore why high standards make kids happier, how HAA is using motivation and real-world building to redesign college, what parents need to believe before choosing a new kind of school, why Joe expects AI to drive an explosion in entrepreneurship, and why Gagan thinks students should pick what they care about over whichever field seems safest from AI. 0:40 How Alpha reinvented the school day 4:47 Making Alpha believable at scale 6:13 Why kids want to do hard things 8:30 Fifth graders vs. the Wharton MBA test 10:48 Keeping kids in the 80 to 85% zone 13:08 Gagan on redesigning college 15:00 Why Stanford and MIT kids are terrified 19:30 Why college lectures are dying 22:45 Why Ivy League parents want a new path 25:00 The 1910 tractor moment for education 27:02 Why families should take the risk 34:35 Joe's dad on his Stanford dropout 42:10 What to study when AI is everywhere 48:33 Founders School's $1M guarantee 51:53 A 14-year-old cold calls Jensen YouTube: youtu.be/T4u2FoIm3pw @jliemandt @gaganbiyani @eriktorenberg

35위Leandro von Werra@lvwerraX에서 보기

Carbon-X는 DNA 이해 분야에서 최첨단 수준을 달성한 모델로, 영어와 DNA 모두로 대화할 수 있다고 소개하며 생물학과 DNA 이해가 앞으로 주요 연구 초점이 될 것이라고 주장한다.

좋아요 84리포스트 12답글 10노출 7K북마크 31

36위a16z@a16zX에서 보기

1년 된 스타트업 Unlimited Industries는 미국 건설 생산성 하락을 되돌리기 위해 100억 달러 규모의 데이터센터 및 발전소 프로젝트를 관리하며 설계 작업을 크게 단축하고 인재를 채용하고 있다.

좋아요 76리포스트 8답글 13노출 17.3K북마크 25

a16z@a16z
US construction productivity fell from 1970 to 2020 while the rest of the economy got more productive, and a 1-year-old startup called Unlimited Industries is trying to reverse that. Unlimited is managing $10 billion in data center and power plant projects, compressing design and engineering work that typically takes 18 months and 100,000 human hours into a single day. The team has set out to do for construction what SpaceX did for launch and Anduril did for defense: question every assumption and build from first principles. "We were better at building in the '60s, everything from power plants to houses and everything in the middle, than we are today. An era before we had computers, we were better at building stuff than we are now." Co-founder and CEO Alex Modon expects to 2-3x the team in the next 6 months. Unlimited is hiring founding roles across engineering, sales, supply chain, construction management, and recruiting, all in SF: a16zjobs.substack.com/p/inside-unlim… @alexmodon @unltdindustries

37위Google DeepMind@GoogleDeepMindX에서 보기

Genie 4는 Gemini Omni 기반의 사실적 묘사, 물리 시뮬레이션, 실시간 제어, 네이티브 오디오, 다단계 사건 계획 기능을 갖추며 먼저 신뢰할 수 있는 테스터에게 공개되고 이후 Google AI Ultra 구독자와 API 파트너에게 제공될 예정이다.

좋아요 838리포스트 55답글 27노출 136.4K북마크 261

Google DeepMind@GoogleDeepMind

@GoogleDeepMind 님에게 보내는 답글

Here’s what’s new with Genie 4: 🔵 Photorealism: Built on Gemini Omni for lifelike detail across spaces and subjects 🔵 Advanced physics: Aerodynamics, collisions, and people who move naturally 🔵 Real-time controls: Prompt to change the scene, add elements, or interact with characters 🔵 Native audio: Ambient sound, music, background noise, and interactive dialogue 🔵 Gemini reasoning: Plans multi-step events to maintain coherence as scenes evolve These capabilities are a step toward developing safe virtual environments to see how agents and robots navigate their surroundings. We’re exploring early use cases with trusted testers first, before bringing the model to Google AI Ultra subscribers in Project Genie and early access partners in our API and @GoogleAIStudio soon. Find out more → goo.gle/48idm3b

38위Vlad Matsiiako@matsiiakoX에서 보기

Infisical이 기업가치 6억 달러에 4,000만 달러 규모의 시리즈 B 투자를 유치했으며, AI 시대에 맞춰 설계된 보안 인프라를 제공해 1,300여 개 조직이 사용하고 있다고 밝혔다.

좋아요 378리포스트 34답글 95노출 53.8K북마크 117

Vlad Matsiiako@matsiiako
Today, we’re announcing Infisical’s $40M Series B at a $600M valuation, led by @eladgil. AI has made it 10x easier to write code, 10x easier to find vulnerabilities, and given autonomous agents access to some very sensitive systems. The problem is that much of today’s security infrastructure wasn’t built for any of this. We’re changing this with @infisical. Today, over 1,300 organizations trust us to secure their infrastructure, including Airbus, First American Financial, Hugging Face, OpenRouter, and Wise. Proud of what our team has built so far. Even more excited about what we have ahead of us. Back to work.

39위Naman Bansal@NamanBansal0611X에서 보기

AgentRel은 YC와 BroomVentures로부터 130만 달러를 투자받았다며, ChatGPT·Claude·Gemini의 devtools 추천 여부와 Claude Code의 사용성 문제를 분석해 주고 경쟁 AI 가시성 도구를 비판하면서 브랜드명을 보내면 무료 Pro 워크스페이스를 제공한다고 홍보했다.

좋아요 268리포스트 33답글 102노출 20.5K북마크 78

Naman Bansal@NamanBansal0611
We just raised $1.3M from @ycombinator and @BroomVentures to build AgentRel. We help devtools with: - Discoverability: does ChatGPT, Claude, or Gemini recommend you or your competitor? - Usability: where does Claude Code struggle with your product? Profound, Peec, and most other AI visibility tools just measure noise, really. Every serious marketer knows this, and these companies know it too. We do the opposite: we give you accurate data and help you act on it. Reply with your brand name, and I'll set you up with a Pro workspace for free.

40위Y Combinator@ycombinatorX에서 보기

Y Combinator 출신 Vera Health가 2,850만 달러 규모의 시리즈 A 투자를 유치했으며, 근거가 부족하면 솔직히 알려주는 임상 검색 엔진으로 80만 명 넘는 임상의가 사용하고 있다고 소개했다.

좋아요 66리포스트 4답글 15노출 10.8K북마크 18

Y Combinator@ycombinator
Congrats to @verahealthai (S24) on their $28.5M Series A! Vera is the clinical search engine that finds and grades medical evidence before writing an answer. Most AI tools are built to sound confident. Vera is built to be honest when the evidence is thin, color-coding every claim by the strength of the research behind it. @TaiebBennani and @_maximall, both sons of physicians, originally built it for their own fathers. Two users became more than 800,000 clinicians across 190 countries, including roughly 1 in 4 physicians in Spain and Italy. Vera has been the most downloaded clinical app in the world every month since June.
fiercehealthcare.comVera Health secures $28.5M series A for AI-driven clinical search engine

41위Orbital Operations@OrbitalOps_X에서 보기

Orbital Operations는 높은 기동성과 장기 운용이 가능하며 궤도에서 더 자유롭게 움직일 수 있는 우주선 Astraeus를 공개했다.

좋아요 201리포스트 33답글 20노출 45.5K북마크 50

42위justin@justinsunytX에서 보기

Capy가 Revyl과 함께 클라우드 휴대폰에서 iOS와 Android 앱을 직접 빌드하고 테스트할 수 있는 기능을 출시했다고 알렸다.

좋아요 189리포스트 20답글 32노출 16.5K북마크 44

43위Paul Graham@paulgX에서 보기

Paul Graham은 미드타운 West 57th의 King David Barbershop이 12분 만에 머리를 잘라 주고 결과도 좋아서 추천한다고 말했다.

좋아요 351리포스트 4답글 48노출 41.6K북마크 78

44위a16z@a16zX에서 보기

Databricks CEO Ali Ghodsi는 이미 AGI를 달성했으며 이제 필요한 것은 그것을 실용적으로 활용하는 것이라고 주장했고, 이에 관한 a16z의 기사도 함께 소개했다.

좋아요 68리포스트 8답글 17노출 14.2K북마크 15

a16z@a16z
Databricks CEO Ali Ghodsi says we already have all the intelligence we need, and the opportunity now is applying it productively: "I think we already have AGI. I actually think we have achieved AGI. We just need to make it useful." "Apply it to everyday things that we wanna do, and make it valuable at simple things. That's all we need, and that's what's gonna prove out to be very, very valuable for everything, businesses, companies, organizations." "We don't need more intelligence, honestly." @alighodsi (UC Berkeley, 2025) Read the latest Profiles of the Future by @bhorowitz and @mikemcg0 on Databricks & the Future of the Firm: a16z.news/p/databricks-a…
benahorowitz.eth@bhorowitz
x.com/i/article/2115…

45위Google Cloud Tech@GoogleCloudTechX에서 보기

구글 클라우드에서 Gemini Robotics Embodied Reasoning 2를 제공하기 시작했으며, 기업이 이를 활용해 물리 세계에서 생각하고 행동하며 적응하는 로봇을 만들 수 있다고 소개한다.

좋아요 151리포스트 17답글 4노출 12.3K북마크 32

46위Pollen Robotics@pollenroboticsX에서 보기

MicroDuck Arena에 새로 추가된 줄다리기 대회는 두 로봇 오리가 줄을 당겨 상대를 구덩이에 빠뜨리는 방식이며, 시뮬레이션에서 학습시킨 로봇을 11월 6일 금요일 오전 9시(PT)에 출전시킬 수 있다.

좋아요 200리포스트 34답글 26노출 16.1K북마크 37

47위Y Combinator@ycombinatorX에서 보기

Infisical이 4천만 달러 규모의 시리즈 B 투자를 유치했으며, 이 오픈소스 보안 도구는 AI 에이전트에 가짜 자격 증명을 주고 프록시를 통해 실제 키로 바꿔 민감한 시스템 접근을 안전하게 한다.

좋아요 142리포스트 14답글 38노출 16.6K북마크 26

Y Combinator@ycombinator
Congrats to @matsiiako, @dangtony98, @maidulll and @infisical (W23) on their $40M Series B! Infisical is the open source security infrastructure that manages API keys, passwords, and certificates for developers, machines, and AI agents. When an AI agent needs access to a sensitive system, Infisical hands it a fake credential and swaps in the real one through a proxy. The agent does its job without ever seeing the actual key. More than 1,300 organizations use the platform, including Airbus, Hugging Face, and the US Government, and they just passed 30,000 stars on GitHub.
forbes.comThis $600 Million Startup Is Helping Keep Company Secrets Away From AI Agents

48위Julian Olschwang@j_olschwangX에서 보기

Hemlock은 근전도 웨어러블과 영상 장비로 작업자의 힘과 접촉 데이터를 수집해 로봇 학습에 활용하려는 제품을 출시했다.

좋아요 71리포스트 7답글 32노출 5.3K북마크 13

Julian Olschwang@j_olschwang
Robots can see what our hands do. They can't feel how hard we press. Today we're launching Hemlock (YC F26) to fix that. Robotics companies and physical AI labs are spending hundreds of millions on egocentric video to teach robots human tasks. But whether it's a kitchen or an automotive assembly line, success comes down to force and contact, and video drops that information entirely. Tactile gloves cover the hands. Instrumenting the environment doesn't scale. So we equip workers across industries with EMG wearables and egocentric video capture gear to turn a day of work into the force and contact data robots need to use their hands like experts. If you're training physical AI models, running data ops at a robotics company, working on dexterous manipulation, or automating a force-sensitive task, we'd love to talk. Email julian@hemlock.inc for some sample data.

49위Rohit Naras@rohitnarasX에서 보기

AppliedKin은 변압기, 발전기, 냉각 장치 등을 고객 사양에 맞춰 만들고 현장까지 배송하는 AI 네이티브 제조사로, 변압기 공급이 1~3년 걸리는 상황에서 패드 마운트 제품을 7주 만에 견적 낼 수 있다고 밝힌다.

좋아요 44리포스트 3답글 15노출 3.9K북마크 7

50위DHH@dhhX에서 보기

dhh는 윈도우 코파일럿이 쓸모없는 기능과 무의미한 키 때문에 사람들의 AI 반감을 키웠을지도 모른다고 비판했다.

좋아요 400리포스트 18답글 54노출 15.4K북마크 46

52위Oracle Cloud@OracleCloudX에서 보기

Oracle은 Google과 협력해 Google TPU를 OCI에 도입하며, Google 외 클라우드 플랫폼에서 TPU를 처음으로 제공해 고객이 AI 인프라를 더 유연하게 선택할 수 있게 된다고 발표했다.

좋아요 367리포스트 36답글 9노출 49.8K북마크 38

Oracle Cloud@OracleCloud
We’re deepening our collaboration with @googlecloud to give customers more options for building and running AI at scale. Google TPUs are coming to Oracle Cloud Infrastructure (OCI), marking the first time Google TPUs will be available on a cloud platform outside Google. Customers will have more flexibility to match AI infrastructure to demanding training and inference workloads, optimizing their environments for performance, throughput, and economics. Learn more: social.ora.cl/6012BHcVbe #AIWorld

53위Demis Hassabis@demishassabisX에서 보기

구글 딥마인드가 실시간 물리, 추론, 오디오를 결합한 대화형 세계 모델 Genie 4를 공개했다.

좋아요 171리포스트 19답글 40노출 9.4K북마크 13

Demis Hassabis@demishassabis
Very excited to share Genie 4, our incredible interactive world model, bringing together real-time physics, reasoning, and audio! Simulations within simulations, makes you wonder just how deep the rabbit hole goes... I have a feeling we will be finding out soon enough...
Google DeepMind@GoogleDeepMind
This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.

54위Caitlin Long 🔑⚡️🟠@CaitlinLong_X에서 보기

작성자는 2008년 금융위기 이후 규제 강화로 지역 은행 설립 기준이 크게 올라 미국의 커뮤니티 은행 감소가 인위적으로 만들어진 결과라고 주장하며 이에 동의한다.

좋아요 106리포스트 14답글 10노출 8.1K북마크 6

Caitlin Long 🔑⚡️🟠@CaitlinLong_
🎯Yes, the decline in the number of America’s community banks was bureaucratically engineered.
Preston Kennedy@BankPres
We need more community banks, not fewer. Before the 2008 financial crisis: New banks were frequently approved with $5–12 million (sometimes as low as $7–10 million). After the Great Financial Crisis and Dodd-Frank: Regulators roughly doubled typical requirements (to around $20 million or more). Analyses put average or median post-crisis figures in the $25–32 million range. Throughout the past decade, industry advisers and regulators have consistently treated roughly $20 million as the practical floor for most community banks, with many proposals required to raise more (often $25–50 million depending on size, market, and risk). There has been no general reduction in this expectation. Every previous wave of consolidation has been met with de novo bank creation. Community banks have always “disappeared” but new ones have always been formed to take their place. The dearth of community banks is not organic. It is bureaucratically engineered.

55위Paul Graham@paulgX에서 보기

paulg는 14살 아들과 자연사 박물관에서 다섯 시간을 보내며 거의 모든 전시를 둘러봤고, 아들이 자연사를 특히 좋아한다고 전했다.

좋아요 454리포스트 2답글 39노출 50.4K북마크 23

56위Paul Graham@paulgX에서 보기

작성자는 전화나 문자가 오면 기본적으로 정치 스팸일 것이라고 생각하게 되었다고 말한다.

좋아요 254리포스트 4답글 50노출 39.6K북마크 9

57위DHH@dhhX에서 보기

Omarchy 팀은 리눅스 개발자 hancore_linux를 디자인 및 커뮤니티 책임자로 전임 채용했다고 알렸다.

좋아요 248리포스트 3답글 24노출 13.8K북마크 8

58위DHH@dhhX에서 보기

dhh는 Omarchy 4.5 RC2가 많은 기능을 담아 가벼워졌고 설치 속도가 훨씬 빨라졌다고 발표했다.

좋아요 181리포스트 10답글 18노출 9.1K북마크 5

DHH@dhh
We've poured so many upgrades and features into this release it's hard to keep track. Too many, in fact! Should really have been three separate releases. But despite all of that, it's slimmer, lighter, and WAY WAY FASTER TO INSTALL! 🤘
Omarchy@omarchy
Omarchy 4.5 RC2 is now out and it includes our new F1 install technique that can almost get a full installation down to the time of a pitstop on the fastest machines (current record is 6 seconds!!). github.com/omacom/omarchy…

59위Simon Willison@simonwX에서 보기

Apple II 에이전트가 그린 자전거 타는 펠리컨 그림이 색상과 흑백 모두에서 꽤 훌륭하다는 칭찬의 글이다.

좋아요 56리포스트 1답글 30노출 11.8K북마크 1

60위TypeSafe AI@typesafeaiX에서 보기

typesafeai는 Jev 패턴을 배우라며 문서를 한 줄씩 검색하는 방법을 소개하고 새 요리책을 매주 공개한다고 홍보했다.

좋아요 42리포스트 0답글 6노출 6.9K북마크 49

TypeSafe AI@typesafeai
you too can learn to Jev the way @allietheicon Jevs! new cookbooks hot & fresh every week.
Allie the Icon@allietheicon
One of my favorite Jev patterns is "line-by-line search", where you put an entire document in state, and ask a question for each line (or paragraph). This is super useful when you want to find the most relevant line for a query. Use nouls when you expect one dominate answer, use scores when you want to highlight lines by overall relevance. The former is good for answering a specific question while the latter is good for finding all relevant passages.

61위Sergio Paniego@SergioPaniegoX에서 보기

GitHub 사무실에서 열린 에이전트 학습 워크숍 시리즈에서 4개의 발표와 패널 토론이 진행되었고, 발표 전체 영상과 슬라이드가 공개되었다.

좋아요 48리포스트 6답글 4노출 9.5K북마크 29

Sergio Paniego@SergioPaniego
last week we closed the Training Agents series IRL at the GitHub offices in SF 4 talks, a panel and audience Q&A. almost 2h on post-training agents with open models > Learnings from enterprise RL (@t2govind Microsoft) > Environments and benchmarks in industry (@VBarres86633 Mercor) > How to train your agents with Miles (@nblintao RadixArk) > Why we built OpenEnv Arena (@xdotli BenchFlow) full recording + slides
youtube.comWorkshop: Training Agents at the frontier of AI Industry

62위Kavli Institute for Theoretical Physics@KITP_UCSBX에서 보기

양-밀스 작업 그룹이 AI 결과 해석을 위한 과학 협업 성명을 발표했으며, 여기에는 양-밀스 양자 이론의 존재를 증명하는 하위 문제가 포함되어 있다.

좋아요 2리포스트 3답글 0노출 38북마크 1

63위Y Combinator@ycombinatorX에서 보기

국방, 금융, 의료, 원자력 등 외부 클라우드로 보낼 수 없는 민감한 데이터를 위해 사내에 설치하는 온프레미스 AI 모델과 관련 도구, 보안 인증, 하드웨어를 제공하는 기회를 소개한다.

좋아요 16리포스트 0답글 1노출 3.9K북마크 7

Y Combinator@ycombinator

@ycombinator 님에게 보내는 답글

AI for the Air-Gapped Economy @bradflora Some of the most valuable data in the world can never leave the building. Defense contractors, banks, hospitals, and nuclear plants can’t simply send it to a cloud AI API. That creates an opportunity to bring frontier AI inside those walls: on-prem models, deployment tooling, security accreditation, and hardware for the parts of the economy the cloud can’t reach.

64위Legora@WeAreLegoraX에서 보기

Legora의 CEO가 CNBC 방송에 출연해 5억 5천만 달러 규모의 시리즈 E 투자와 법률 산업의 AI 수요에 대해 이야기했다.

좋아요 44리포스트 9답글 1노출 6.8K북마크 16

65위Vera Health@verahealthaiX에서 보기

Vera는 6월 이후 매달 세계에서 가장 많이 다운로드된 임상 앱이 되었고, 일일 활성 사용자 수가 Series A 당시의 월간 활성 사용자 수보다 많아졌다고 밝혔다.

좋아요 26리포스트 4답글 4노출 5.4K북마크 8

66위Kacper Kapuściak@kacperkapusciakX에서 보기

창업을 하는 사람에게 YC 참여는 최고의 선택이라는 의견이다.

좋아요 10리포스트 1답글 0노출 2.9K북마크 3

Kacper Kapuściak@kacperkapusciak
Going through YC is the best thing you can do if you’re building a startup
Y Combinator@ycombinator
One week left to apply to YC Winter '27! YC founders get: 🔸 $500K in funding 🔸 $12M+ in tokens, credits & deals 🔸Partners who were founders first, and are in your corner for life 🔸 Access to the best founder community in the world 🔸 Demo Day in front of thousands of top investors Apply by Nov 2: ycombinator.com/apply

67위Pablo Omeñaca@houmlandX에서 보기

Karumi는 제품 안에서 신규 사용자를 안내하는 AI 고객 성공 담당자를 소개하며, 한 고객사에서 체험판 유료 전환율이 14%에서 26%로 올랐다고 주장한다.

좋아요 8리포스트 2답글 2노출 2.7K북마크 2

Pablo Omeñaca@houmland
Your CSMs onboard your best 50 accounts. Who onboards the other 5,000? Until now, nobody. They got a chatbot and a checklist, skipped the tour, and never booked the call. We built an AI CSM that lives inside your product. It talks to every new user, clicks through the real app with them, and gets them to activation. What one customer saw, measured in their own PostHog, not ours: → Trial-to-paid went from 14% to 26% → ~82% of onboarding calls handled by the AI CSM Workday, Brevo, Job&Talent and Collective already use Karumi. DM if you want to see it in your product! The first version is on us.

68위Kush Agarwal@KushHansAgarwalX에서 보기

글쓴이는 자신이 여섯 번째 지원 끝에 성공했다며 확신이 없더라도 YC 지원을 해보라고 권했다.

좋아요 13리포스트 2답글 2노출 1.6K북마크 3

Kush Agarwal@KushHansAgarwal
Apply even if you aren't sure This was my 6th application They say 6th times the charm
Y Combinator@ycombinator
One week left to apply to YC Winter '27! YC founders get: 🔸 $500K in funding 🔸 $12M+ in tokens, credits & deals 🔸Partners who were founders first, and are in your corner for life 🔸 Access to the best founder community in the world 🔸 Demo Day in front of thousands of top investors Apply by Nov 2: ycombinator.com/apply

69위Museum of Ancient Greek Technology@kotsanasmuseumX에서 보기

Kotsanas 박물관은 JeffDean의 아테네 방문에 감사를 전하며, 온라인으로 기계 원리를 탐구할 수 있는 새로운 방법을 추가했다고 알렸다.

좋아요 32리포스트 2답글 1노출 9.7K북마크 7

Museum of Ancient Greek Technology@kotsanasmuseum
Thank you, @JeffDean , for visiting us in Athens and sharing your experience. We’ve since added new ways to explore the mechanisms online:
interactive.kotsanas.comInteractive Lab — Ancient Greek Technology | Kotsanas Museum
Jeff Dean@JeffDean
If you're ever in Athens, I highly recommend the Museum of Ancient Greek Technology! maps.app.goo.gl/sngwM98ueKkroo… Early humanoid robots to pour water+wine, demonstrations of heat+steam+water weight to "magically" open 500 kg temple doors, armor, ... (cont)

70위Kush Agarwal@KushHansAgarwalX에서 보기

설계부터 비행까지 30일 안에 끝냈고, 다음 제품은 두 배 크고 더 빠르게 만들어 소프트웨어 속도로 하드웨어에 가까워지고 있다고 밝혔다.

좋아요 46리포스트 6답글 6노출 5.7K북마크 9

71위GitHub@githubX에서 보기

GitHub가 해커블 배지가 만들어지는 Pimoroni의 공장 내부를 공개한다.

좋아요 36리포스트 5답글 3노출 15.4K북마크 7

72위Google@GoogleX에서 보기

Genie 4는 신뢰할 수 있는 테스터를 대상으로 연구 미리보기로 배포가 시작되었고, 이후 Google AI Ultra 구독자와 Gemini API 및 Google AI Studio의 초기 파트너에게도 제공될 예정이다.

좋아요 78리포스트 5답글 6노출 25.9K북마크 15

73위Sanchit monga@sanchitmonga22X에서 보기

저렴한 토큰도 방어자가 쓸 수 없으면 의미가 없다며, 승인된 보안 작업용으로 DeepSeek V4.1 Flash Uncensored를 Wally에 도입하고 오픈소스 보안 도구와 호스팅 추론을 제공한다고 발표했다.

좋아요 17리포스트 3답글 13노출 3.2K북마크 3

75위Google@GoogleX에서 보기

Genie 4는 시뮬레이션된 시나리오를 실제 세계에 도입하기 전에 테스트할 수 있게 해 주며, Gemini 4 Argon과 결합해 로봇 연구에서 다양한 상황을 가상으로 시뮬레이션하는 가능성을 보여 주었다.

좋아요 85리포스트 4답글 5노출 29K북마크 10

Google@Google

@Google 님에게 보내는 답글

Interactive world models like Genie 4 advance our ability to test simulated scenarios before bringing them into the physical world. We paired Genie 4 with Gemini 4 Argon in our @GoogleDeepMind robotics research — showing the possibilities of simulating a breadth of scenarios in imagined worlds 🤖

76위Daniel McNeil@danielmcneil_X에서 보기

YC 지원 마감이 일주일 남았으며 YC는 투자금과 크레딧 등 여러 혜택을 제공한다고 홍보한다.

좋아요 34리포스트 1답글 3노출 4.1K북마크 4

77위Google Cloud@googlecloudX에서 보기

Google Cloud Next가 4월 13일부터 15일까지 라스베이거스에서 열리며 등록 알림 신청을 받는다는 안내이다.

좋아요 26리포스트 3답글 0노출 4K북마크 3

78위TypeSafe AI@typesafeaiX에서 보기

Judgment Labs가 10월 27일 화요일 샌프란시스코 Pine St에서 Jev-Jam 아이스크림을 무료로 나눠준다고 알린다.

좋아요 45리포스트 2답글 4노출 7.5K북마크 3

79위Krish Kapadia@krish_k07X에서 보기

YC 덕분에 인생이 바뀌었다며 YC Winter '27 지원 마감이 일주일 남았으니 지원해 보라고 권한다.

좋아요 18리포스트 1답글 2노출 3.4K북마크 1

Krish Kapadia@krish_k07
yc has genuinely changed my life just a few months ago, I never would've imagined I'd get in. even if you think you can't, you definitely can. go apply.
Y Combinator@ycombinator
One week left to apply to YC Winter '27! YC founders get: 🔸 $500K in funding 🔸 $12M+ in tokens, credits & deals 🔸Partners who were founders first, and are in your corner for life 🔸 Access to the best founder community in the world 🔸 Demo Day in front of thousands of top investors Apply by Nov 2: ycombinator.com/apply

80위Demis Hassabis@demishassabisX에서 보기

Genie 4는 신뢰할 수 있는 테스터에게 먼저 배포되고 있으며 더 넓은 공개는 곧 이루어질 예정이고 블로그에서 대기 신청을 받는다.

좋아요 23리포스트 0답글 0노출 2.9K북마크 1

81위Brad Flora@bradfloraX에서 보기

bradflora는 snowmaker가 Vanta와 Blacksmith 광고를 단 MUNI 버스를 무료로 타고 캘리포니아를 달려야 한다고 농담했다.

좋아요 32리포스트 5답글 4노출 7.6K북마크 0

82위Vapi@Vapi_AIX에서 보기

YC의 gustaf가 음성 에이전트 기업들의 빠른 성장과 가격 변화, 큰 기회가 남아 있다는 점을 VapiCon 패널에서 다룬다고 홍보한다.

좋아요 6리포스트 4답글 2노출 2.9K북마크 0

Vapi@Vapi_AI

@gustaf 님에게 보내는 답글

@gustaf (Y Combinator) sees voice agents land across wildly different categories, and he’s watched voice companies go from demo to multiple rounds. At VapiCon he’ll share what YC is seeing: how fast these companies grow, how pricing has shifted in 12 months, and why the biggest opportunity is still ahead. Future of Voice panel, Nov 12. Code ALSTROMER50 for 50% off: vapi.ai/vapicon-2026

83위TypeSafe AI@typesafeaiX에서 보기

TypeSafe AI가 오늘의 추천으로 예전 인기작인 라인별 검색 페이지를 링크와 함께 공유했다.

좋아요 3리포스트 0답글 0노출 1.9K북마크 5

84위Y Combinator@ycombinatorX에서 보기

위와 같은 아이디어에 관심 있는 사람은 Y Combinator의 겨울 배치에 지원할 수 있으며, 지원 마감은 11월 2일 오후 8시(태평양 시간)이라고 안내한다.

좋아요 11리포스트 1답글 0노출 3.8K북마크 5

85위GitHub@githubX에서 보기

GitHub는 10월 28일 열리는 #GitHubUniverse 첫날 기조연설을 온라인으로 함께 볼 수 있도록 가입을 안내했다.

좋아요 3리포스트 0답글 0노출 6.7K북마크 1

86위Google Cloud@googlecloudX에서 보기

구글 클라우드는 Gemini로 이메일 스레드를 검색해 휴가 중 놓친 내용과 할 일 목록을 만들 수 있다고 소개하며 사용자 경험을 물었다.

좋아요 2리포스트 1답글 0노출 1K북마크 0

Google Cloud@googlecloud
This 5-minute post-PTO reset will save your first day back at work. With Gemini, you can search email threads to find what you missed, who to reach out to, and even build a to-do list of next steps. Tell us how Gemini is saving you from the Post-PTO scaries👇