2026년 9월 17일

홈 타임라인 게시물 128개, 인기순

1위OpenAI@OpenAIX에서 보기

OpenAI가 변호사·리걸테크를 위한 GPT-6 Astra 기반 Astra for Law를 공개합니다.

좋아요 8.4K리포스트 515답글 396노출 1.5M북마크 2.7K

OpenAI@OpenAI
Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms.

2위PrismML@PrismMLX에서 보기

PrismML이 Qwen3.8 기반 Ternary Bonsai 2 27B를 공개하며 9배 작으면서 벤치마크 98.2%를 유지한다고 전합니다.

좋아요 3.2K리포스트 382답글 141노출 293.9K북마크 2.7K

PrismML@PrismML
Today, we’re announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use. Ternary Bonsai 2 27B is available today under Apache 2.0.

3위Exa@ExaAILabsX에서 보기

Exa가 웹 과거 검색용 4000억 스냅샷 인덱스 Exa Snapshot을 소개합니다.

좋아요 1.5K리포스트 101답글 80노출 323.2K북마크 774

Exa@ExaAILabs
We built a time machine for the web. Introducing Exa Snapshot: an index of 400 billion historical snapshots of webpages that lets you search as if it's the past. Snapshot is already being used for backtesting prediction models, RL at labs, exploring the pre-AI web, and more.

4위Anthropic@AnthropicAIX에서 보기

Anthropic이 AI R&D 비중·에이전트 감독·컴퓨트 배분을 추적하는 세 가지 공개 지표를 공유합니다.

좋아요 2.1K리포스트 269답글 237노출 394.4K북마크 977

Anthropic@AnthropicAI
AI systems are getting more powerful, and they're increasingly being used to build the next version of themselves. We want to illuminate that progress for the public. Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated. We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them. As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows. This means better measuring the development of AI, publishing our findings, and giving society an opportunity to decide how to use this information. Read the full post and methodology:
anthropic.comMeasurements for understanding the pace of AI development inside frontier labs

5위Anthropic@AnthropicAIX에서 보기

Anthropic이 Mythos 포함 생명과학용 안전장치를 갖춘 Life Sciences Verification Program 신청을 엽니다.

좋아요 1.6K리포스트 178답글 149노출 215.9K북마크 612

Anthropic@AnthropicAI
Today we’re opening applications for the Life Sciences Verification Program. Through the LSVP, life science professionals can use our models—including, for the first time, Mythos—with a new set of safeguards designed to enable the full range of biology-related work. We designed these new safeguards to provide a better experience for biologists and more protection from risk of misuse. The program is launching in beta for teams of all kinds—from academic labs to startups, pharma companies, and more. We will continue to improve the program and expand access to individual Pro and Max plans over time. Learn more about these access grants and apply:
anthropic.comIntroducing the Life Sciences Verification Program

6위Anthropic@AnthropicAIX에서 보기

Anthropic이 Claude로 오픈소스 생물 모델 30여 개의 추론을 평균 4배 빠르게 최적화했다고 공개합니다.

좋아요 1.4K리포스트 131답글 87노출 100.9K북마크 447

Anthropic@AnthropicAI
Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact. In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code. Read more: anthropic.com/research/claud…

7위Google@GoogleX에서 보기

Google이 Gemini 관리형 에이전트에 antigravity-preview와 Gemini 3.8 Flash 하네스를 업데이트합니다.

좋아요 972리포스트 65답글 54노출 158.1K북마크 293

Google@Google
We're updating Gemini managed agents with a new harness. antigravity-preview-09-2026 brings @Antigravity tools and behavior to @GoogleAIStudio and the Interactions API. It runs natively on Gemini 3.8 Flash, our best reasoning & coding model yet, and you can change your model selection anytime. Plus, we’re introducing two new APIs to make building easier and more secure 🧵

8위Greg Brockman@gdbX에서 보기

Sam Altman이 Astra for Law의 개인정보 보호와 파트너·커뮤니티 플러그인을 소개합니다.

좋아요 884리포스트 34답글 76노출 136.4K북마크 261

Greg Brockman@gdb
Astra for Law — tools and skills to radically accelerate law firms. Includes data privacy as a core feature, and 26 partner-built plugins and 47 community plugins for legal work in ChatGPT.
OpenAI@OpenAI
Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms.

9위ben hylak@benhylakX에서 보기

Raindrop이 CRV·Lightspeed 주도 Series A로 총 5천만 달러를 유치하고 Simulations 제품을 발표합니다.

좋아요 942리포스트 70답글 176노출 91.7K북마크 223

10위prinz@deredleritt3rX에서 보기

GPT-6 Astra가 1918년 독일 무선 전문을 해독해 HMS Canterbury의 세바스토폴 도착 기록을 확인했다고 전합니다.

좋아요 7.7K리포스트 566답글 106노출 740.2K북마크 1.5K

prinz@deredleritt3r
GPT-6 Astra deciphered a 1918 German radio transmission that, to my knowledge, has never been deciphered before. The message below translates to: "EIN ENGLISCHER KREUZER EINLIEG X SEWASTOPOL X S4STEN X EIN GESCHWADER DER X ALLIIERTEN FOLGT 26STEN X" or, in English: "AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE ?4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH" Astra even double-checked its work by determining that an English cruiser, HMS Canterbury, reported its arrival in Sevastopol on November 24, 1918 and the arrival of an allied squadron on November 26, 1918. This message is one of the ~20 WWI German radio messages that appear as one of the entries in the scienceblogs.de list of top 50 unsolved ciphers (scienceblogs.de/klausis-krypto…). A minor, but really cool result!

11위Paul Graham@paulgX에서 보기

Paul Graham이 UC 캠퍼스 기초수학 부진에도 졸업률이 사상 최고라는 인용을 공유합니다.

좋아요 3K리포스트 118답글 85노출 160.3K북마크 216

12위NVIDIA@nvidiaX에서 보기

NVIDIA Jensen Huang이 스코틀랜드에서 AI 역량과 안전이 함께 나아가야 한다고 강조합니다.

좋아요 861리포스트 99답글 81노출 49.3K북마크 62

NVIDIA@nvidia
At Dumfries House in Scotland, our CEO @JensenHuang joined His Majesty The King and global leaders to discuss how AI can serve the public good. Jensen's message: capability and safety must advance together, expanding opportunity and putting AI to work for people.

13위NASA@NASAX에서 보기

NASA가 10월 SpaceX Dragon으로 ISS 무인 보급 임무를 발사할 예정이라고 알립니다.

좋아요 911리포스트 99답글 57노출 265K북마크 27

14위NASA@NASAX에서 보기

NASA가 2025 우주비행사 후보의 2년 훈련 중간 과정을 소개합니다.

좋아요 1.7K리포스트 158답글 79노출 497.3K북마크 46

15위Zach Lloyd@zachlloydtweetsX에서 보기

소프트웨어 팩토리에서 코딩 에이전트 성과를 LLM-as-a-judge로 측정하는 방법을 소개합니다.

좋아요 142리포스트 9답글 14노출 24.3K북마크 264

16위Advaiyt Sane@advaiytsaneX에서 보기

YC S27 Memorable이 에이전트 성공 실행을 재사용 절차 그래프로 남기는 절차 메모리를 공개합니다.

좋아요 168리포스트 14답글 26노출 63.6K북마크 241

Advaiyt Sane@advaiytsane
Introducing Memorable (YC S27): PROCEDURAL MEMORY FOR AI AGENTS AI agents today are born, work, and die inside a single context window. They solve a hard problem once, then start from zero when it returns. Memorable turns successful runs into a graph of reusable procedures. So every task makes the next one: - Faster. - Cheaper. - More deterministic. We’re excited to share that Memorable is joining Y Combinator’s S27 batch. Try it: memorable.sh

17위Avijit Ghosh@evijitX에서 보기

AI 결함·사고 레지스트리 논문·데모를 공개하며 상시 운영할 독립 기관을 구합니다.

좋아요 111리포스트 19답글 6노출 15.9K북마크 99

Avijit Ghosh@evijit
So we actually built this! Paper: arxiv.org/abs/2606.31567 Demo: ai-reports.org We are actually looking for an org to run this fulltime as researchers in their individual capacity don't have bandwidth. If you are an independent org interested in maintaining a registry of flaw/incident reports and follow up with model providers pls reach out!
arxiv.orgFLARE-AI: Flaw Reporting for AI
elie@eliebakouch
i think we need to create a "model card" equivalent for reporting misalignment incidents, this would guarantee a certain level of transparency and help build a better understanding over time. some ideas for what the fields could be: - date of the incident/detection/report (already present in the examples oai reported!) - frequency: how often does this behavior happen (number or % of rollouts affected) - stage: does this happen during eval or RL training. if training: do we expect this behavior to be reinforced by RL? evolution of % of rollouts affected over time - detection: was this incident caught by the current monitoring system? - task category: broad description of the tasks where the misalignment happened (cyber, research, web search, basic Q&A, biology etc.) - model family: what model family is affected (Sol, Astra etc.) - novelty: is this an issue we were already aware of or not? - external impact: did the incident have an external impact (i.e. wiki incident would have been yes) this is just some random ideas i had (more in thread that are a bit more "complex"), we need to add more that would contribute to increase transparency and understanding. but it's also very important that this does NOT slow down the process of reporting misalignment behavior! some examples from the incident reported by oai recently

18위GitHub@githubX에서 보기

GitHub이 공개 저장소 보안 설정을 한 번에 켜는 gh secure CLI 확장을 안내합니다.

좋아요 159리포스트 8답글 9노출 47.3K북마크 140

19위Martin Fowler@martinfowlerX에서 보기

Martin Fowler가 AI·LLM이 싫어하는 유형의 사람처럼 가장한다고 느끼는 새 글을 올립니다.

좋아요 568리포스트 66답글 26노출 41.3K북마크 426

21위Rob Pruzan@RobKnight__X에서 보기

Claude Code 안에서 terminal-browser를 여는 플러그인을 공개합니다.

좋아요 489리포스트 20답글 39노출 68.3K북마크 341

22위Y Combinator@ycombinatorX에서 보기

YC Lightcone이 비트→아톰 전환·솔로 창업자 증가·빠른 매출 도달 등 스타트업 변화를 논의합니다.

좋아요 179리포스트 18답글 24노출 35.6K북마크 116

Y Combinator@ycombinator
YC works with thousands of founders every year, which gives us an early look at how startups are changing. Right now, the shift is striking: startups are moving from bits to atoms, nearly one in five YC companies has a solo founder, and companies are reaching meaningful revenue faster than ever. In this episode of the Lightcone, @garrytan, @snowmaker, @sdianahu, and @harjtaggar dig into what’s driving these changes and what they mean for founders. They discuss how AI is making it possible for smaller teams to take on more ambitious problems, why experienced founders are having a resurgence, and why knowing what to build is becoming more important than simply knowing how to build it. 01:06 — Startups Are Moving From Bits to Atoms 03:29 — Why AI Is Making Hard Tech Easier 05:21 — Defense, Manufacturing, and the Return of Hard Tech 09:48 — AI Compute Is Becoming a Physical Infrastructure Problem 12:34 — Robotics Is Approaching Its ChatGPT Moment 15:40 — Software Isn’t Dead. It’s Becoming the Harness 17:59 — Why AI Startups Are Growing Faster 22:52 — The Hidden Boom in Data and RL Environments 27:08 — Why Robotics Will Need Specialized Models 29:38 — The Rise of the Solo Founder 32:54 — Why Experienced Founders Are Back 34:59 — What Founders Should Do Right Now

25위Google Labs@GoogleLabsX에서 보기

Google Labs가 가족용 AI 에이전트 CC를 공개해 일정·할 일·채팅 조율을 돕습니다.

좋아요 360리포스트 28답글 34노출 62.5K북마크 192

Google Labs@GoogleLabs
CC the entire fam 🤝! Today, we’re announcing the new CC – an AI agent built for families to spend less time on logistics and more time together. You can now: 👤 Add up to 5 members to your CC agent ☀️ Start mornings aligned with a shared "Your Day Ahead" brief email 🗓️ Autosync schedules & to-dos with a shared Google Calendar and Tasks 💬 Coordinate in Google Chat with CC to offload relevant tasks (ie., crafting weekly meal plans, school supply shopping lists, etc) 📝 Delegate paperwork (ie., permission slips, forms, and more) for CC to complete under your direction 📌 Keep tabs on the details – CC remembers what applies to everyone (ie., family grocery lists, favorite restaurants) versus what applies to one person (ie., dietary restrictions, local timezones) Ready to keep everybody on the same page? Join the waitlist or upgrade your existing CC (US only, 18+): labs.google/cc

26위a16z@a16zX에서 보기

fal이 MiniMax H3 오픈소스 영상 모델을 품질 손실 없이 35배 빠르게 재구현했다고 a16z가 전합니다.

좋아요 77리포스트 16답글 11노출 51.5K북마크 40

a16z@a16z
.@fal's Gorkem Yurtseven and Batuhan Taskaya on making an open source video model 35x faster, and what Hollywood wanted after they built it: Last month, MiniMax released H3, an open source video model. fal rebuilt it - they cut down the steps the model takes to make a video, rewrote the code under each stage, and got the GPUs to 70-80% of their theoretical ceiling instead of their usual 30-40%. No quality loss. Video now generates faster than you can film it. The models have gotten so cheap and fast that end users aren't even asking for improvements in either category anymore. The gap has moved to quality, or how closely the model follows the prompt. Hollywood wasn't a customer a year ago and is now fal's fastest growing segment. Studios love it for the little things - extending a shot, moving the camera, changing the lighting. Those edits land 80-90% of the time. fal is chasing 99.9%. In this conversation with a16z's Jennifer Li: 00:00 Intro 01:45 The first open model worth rebuilding 03:45 The industry ran out of compute in April 06:25 35x faster without losing quality 11:05 5s of video generated in 1.5s 14:25 The weekend fal dropped everything 16:15 3 viral projects nobody planned 18:20 Teaching a video model to remember 20:25 An hour of video that's consistent 23:30 2x the usage of other models in 3 weeks 26:35 The case for giving video away for free 29:00 Blender sketch in, finished shot out 30:40 Chasing 99.9% reliability 34:15 Hollywood, fal's fastest-growing customer 36:50 Why studios wouldn't touch it until now YouTube: youtu.be/SDbRJXQrYGY @gorkem @isidentical @fal @JenniferHli

27위Martin Woodward@martinwoodwardX에서 보기

GitHub Copilot SDK를 TypeScript에서 Rust로 이전한 과정과 의미를 스레드로 풀어줍니다.

좋아요 103리포스트 20답글 4노출 9.7K북마크 46

29위Jared Friedman@snowmakerX에서 보기

YC 대화형 AI 벤치마크에서 GLM-5.2 on Wafer가 최고 성능을 냈다고 전합니다.

좋아요 119리포스트 12답글 23노출 25.6K북마크 49

Jared Friedman@snowmaker
When I was building YC's conversational AI, I benchmarked every LLM and inference cloud I could get my hands on. In my head-to-head benchmark, the top performer was GLM-5.2 on Wafer.
wafer@wafer_ai
@ycombinator built AI versions of its partners to help more people work through their startup ideas. For its Office Hour Simulator, the team needed useful answers delivered quickly enough for a spoken conversation. They had been testing lightweight Gemini and OpenAI models before moving to GLM-5.2 on a dedicated Wafer endpoint. YC then compared that deployment with GPT-4.1 mini on OpenAI and Gemma 4 31B on Cerebras, evaluating answer quality, latency, and conversation duration. The Wafer configuration delivered 31% lower average LLM latency than OpenAI and 44% lower than Cerebras. Users spent 2.5 minutes longer talking to YC’s AI partners when using Wafer. Read how YC built the experience and landed on Wafer 🧵 link in thread

30위Y Combinator@ycombinatorX에서 보기

YC가 Raindrop의 에이전트 안전 계층과 사전 실패 탐지용 Simulations 출시를 소개합니다.

좋아요 93리포스트 11답글 10노출 24.1K북마크 38

Y Combinator@ycombinator
Raindrop (@raindrop_ai) is building the safety layer for AI agents. As agents get more capable and take on more complex work, Raindrop detects when they go wrong in production, from failed tool calls and hallucinations to problems companies didn’t even know to look for. Now they’re launching Raindrop Simulations, which brings that same approach earlier in the development process to catch failures before agents reach production. Already used by companies including Vercel, Clay, Framer, and Speak, Raindrop just raised a Series A bringing its total funding to $50 million. In this episode of Founder Firesides, founders @snarkyzk, @benhylak, and @alexisgauba sat down with @sdianahu to share how a tool they originally built to debug their own coding agent became the company, and why better AI agents actually create more ways for things to go wrong. 00:05 — What Raindrop Does 01:32 — Why Better AI Agents Create More Problems 03:25 — Finding the Failures Evals Miss 04:38 — How Raindrop Got Started 06:32 — Why They Kept Going 07:58 — Catching Agent Failures Before Production

31위Anthropic@AnthropicAIX에서 보기

Anthropic이 Adaptyv Bio와 단백질 설계 대회에서 5,000건 이상 실험 검증과 Claude 크레딧을 지원합니다.

좋아요 116리포스트 17답글 12노출 25.8K북마크 40

Anthropic@AnthropicAI

@AnthropicAI 님에게 보내는 답글

To show what these optimizations make possible, we’re partnering with Adaptyv Bio on a protein design competition. Together, we’ll be experimentally validating over 5,000 designs. We're providing up to $1 million in Claude credits plus funding alongside Adaptyv for experimental validation. Modal is contributing up to $250,000 in compute and Twist Bioscience is providing DNA. Learn more on Adaptyv’s Proteinbase: And sign up for the competition here: docs.google.com/forms/d/e/1FAI…
proteinbase.comAnthropic × Adaptyv Protein Design Competition

32위OpenAI@OpenAIX에서 보기

OpenAI가 Astra for Law를 Trusted Access로 선별 로펌에 제공하고 API는 곧 공개한다고 알립니다.

좋아요 265리포스트 21답글 17노출 53K북마크 90

OpenAI@OpenAI

@OpenAI 님에게 보내는 답글

Astra for Law will initially be offered to selected firms through Trusted Access in ChatGPT and Codex, with API access coming soon. We’ll maintain the legal configuration so builders can focus on their own products and workflows. We’ll build the next chapter of Astra for Law alongside the lawyers and legal technology partners who put it into practice.
openai.comIntroducing Astra for Law

33위GitHub@githubX에서 보기

GitHub이 개발자 사이에서 화제인 자료를 링크와 함께 공유합니다.

좋아요 69리포스트 6답글 14노출 24.9K북마크 23

34위Powerus@powerus_usaX에서 보기

Powerus가 파키스탄 국방부 무인기 조달 주문과 전략 양해각서를 발표합니다.

좋아요 120리포스트 31답글 9노출 27.4K북마크 35

Powerus@powerus_usa
Powerus has received a limited procurement order from the Ministry of Defence of the Islamic Republic of Pakistan for unmanned aerial systems and associated support. The order represents an expansion of our international defense business. We have also signed a strategic memorandum of understanding with senior defense officials of the Islamic Republic of Pakistan. It sets a framework for potential expanded cooperation in unmanned and autonomous systems, subject to definitive agreements and government approvals. “We are proud to support Pakistan’s Ministry of Defence, and the memorandum gives both sides a strategic framework to build upon.” Brett Velicovich, Co-Founder of Powerus Full release: globenewswire.com/news-release/2…

35위OpenAI@OpenAIX에서 보기

OpenAI가 ChatGPT 법률 작업용 파트너 플러그인 26개·커뮤니티 플러그인 47개를 출시합니다.

좋아요 218리포스트 13답글 9노출 57.6K북마크 61

OpenAI@OpenAI

@OpenAI 님에게 보내는 답글

We’re also launching 26 partner-built plugins and 47 community plugins for legal work in ChatGPT. Partners including @thomsonreuters, @harvey, @WeAreLegora, and @imanageinc connect specialist tools and knowledge. Community plugins built by lawyers and legal engineers give firms skills they can adapt and extend. The plugins bring more ways to build with the tools, knowledge, and people firms already rely on.

36위Kling AI@Kling_aiX에서 보기

Kling AI 3.0으로 전편을 생성한 장편 ODYSSEUS: The Fall 공개를 알립니다.

좋아요 104리포스트 12답글 22노출 94.2K북마크 29

Kling AI@Kling_ai
ODYSSEUS: The Fall is here!  Here’s a first look of a scene from the film. Fountain 0's new feature film — directed by Ash Koosha, powered by Kling AI — is now available in full, with every shot generated by Kling 3.0 exclusively. This is the same team whose Dreams of Violets premiered at 2026 Tribeca as the first-ever AI feature film accepted into a major film festival. Huge congrats to the team at Fountain 0 @Fountain0Zero — Ash Koosha @AshKoosha, Pooya Koosha @pooya_koosha, and Tom Rogers — for another successful release!

37위GitHub@githubX에서 보기

GitHub 팟캐스트에서 코드베이스 파인튜닝 필요성은 코드가 나쁘다는 뜻이라는 AI 핫테이크를 나눕니다.

좋아요 45리포스트 1답글 19노출 29.8K북마크 11

38위GitHub@githubX에서 보기

GitHub이 쓸모없는 alt 텍스트를 잡는 Accessibility Scanner 플러그인을 소개합니다.

좋아요 99리포스트 14답글 23노출 51.4K북마크 21

GitHub@github
Most alt text checkers confirm that an accessible name exists, but not that it says anything useful. So alt="IMG_2847.png" passes, and so does the same rating text pasted onto five different star icons. More than one in four images on the top million home pages have alt text that is missing, vague, or duplicated from a neighbor. That's why we built an alt text plugin for the GitHub Accessibility Scanner.
github.blogYour alt text passes automated checks. That doesn't mean it's any good.

39위Patrick Collison@patrickcX에서 보기

Patrick Collison이 Tempo의 스테이블코인·에이전트 유스케이스 빠른 성장을 언급합니다.

좋아요 242리포스트 29답글 28노출 62.5K북마크 48

40위Ben Hunt@EpsilonTheoryX에서 보기

Epsilon Theory가 AI 시대에는 기준 전망 없이 Profound Agnosticism이 필요하다고 말합니다.

좋아요 172리포스트 17답글 9노출 24.1K북마크 32

Ben Hunt@EpsilonTheory
Love this. Profound Agnosticism is the only way to cope with pace of change today, not just in markets but in everything. You can’t have a ‘baseline’ view on anything today. And yes, this is how AI is changing the world.
Luke Kawa@LJKawa
JPMorgan’s commodities team: “For the first time since the start of the Iran conflict, we don’t have a baseline view. We simply don’t know how to model the endgame.”

41위Mitchell Hashimoto@mitchellhX에서 보기

Mitchell Hashimoto가 터미널 색을 테마에 맞게 Oklab·색상환으로 보정하는 기능을 소개합니다.

좋아요 797리포스트 11답글 30노출 35.8K북마크 141

Mitchell Hashimoto@mitchellh
Terminal programs bias to dark modes and explicit colors are hostile to light modes and themes. We now detect programs when they request colors too out of whack from your theme, apply some Oklab magic and hue rotation to match your theme. Harmonious themes, everywhere, always.
almonk@almonk
Have some fun stuff to share for fellow light mode terminal lovers: we call it Automatic Contrast Correction. Users of light themes will have felt my pain. Developers have generally designed text interfaces for dark mode terminals. There are many examples in the tui apps I use everyday: `lsd`, `btop` (with theme bg off), even my beloved `lazygit` has some suss legibility out the box. The issues are so bad, I generally switch to a dark theme to read stuff. Automatic Contrast Correction fixes this issue by evaluating contrast at runtime between whats being sent from the server to the macOS client versus the theme mode the user is running. Our correction pipeline finds low contrast foreground/background combinations, does some oklab magic, hue rotation towards theme-colors, contrast checking and produces an end result of theme-harmonious, perfectly WCAG-approved legible text. All this happens in nanoseconds and is then cached for performance. It's built right into the @superlogical client. (Screenshots above show ACC off and on)

42위Satyam@KlausCodesX에서 보기

Simulithic이 사용자처럼 행동하는 에이전트로 프로덕션을 감시하는 얼리 액세스를 안내합니다.

좋아요 98리포스트 20답글 22노출 8.7K북마크 17

43위GitHub@githubX에서 보기

GitHub Universe 2026 연사 일부를 미리 공개하며 10월 만남을 예고합니다.

좋아요 75리포스트 13답글 5노출 42.2K북마크 13

45위Google@GoogleX에서 보기

Google Research가 저비용 위성+AI로 소형 산불을 탐지하는 FireSat 접근을 설명합니다.

좋아요 151리포스트 20답글 24노출 58.5K북마크 25

Google@Google
“If you want satellites that can confidently spot really tiny wildfires, you can build a really big, expensive, high-resolution satellite that stares at the ground for a long time. Or you use smaller, lower-cost satellites — meaning you can launch a lot more of them — but you have to make up the precision difference with machine learning and AI. We chose the latter,” says @GoogleResearch scientist, Chris Van Arsdale. We spoke with Chris about our FireSat initiative and how we’re using AI to detect and track wildfires.

46위Google DeepMind@GoogleDeepMindX에서 보기

DeepMind가 AlphaGenome Atlas로 질병 유발 DNA 변이 해석에 쓰이는 사례를 소개합니다.

좋아요 455리포스트 40답글 52노출 39.5K북마크 68

47위Respan@RespanAIX에서 보기

RespanAI가 현실적 멀티턴 사용자 시나리오로 프롬프트 깨짐을 찾는 Prompt Simulations를 출시합니다.

좋아요 186리포스트 12답글 23노출 160.5K북마크 27

Respan@RespanAI
Your users never use your product the way you designed it. That’s why we’re launching Prompt Simulations today. Pick a prompt → generate realistic users and scenarios → run full multi-turn conversations → see exactly where your prompt breaks. Test against real behavior before real users find the edge cases.

48위NVIDIA@nvidiaX에서 보기

NVIDIA 캠퍼스 32장 이미지로 World Labs Atlas가 실시간 탐험 Voyager를 만들었다고 소개합니다.

좋아요 357리포스트 48답글 40노출 43.4K북마크 44

NVIDIA@nvidia
Welcome to Voyager. From just 32 images of our campus, World Labs’ Atlas model created a new way for you to move through our park in real time, built on NVIDIA’s open platform, choosing where to go and what to see. @theworldlabs, you made our home look good. 💚
World Labs@theworldlabs
From 32 input images to real-time flight through @nvidia's Voyager headquarters. Trained on NVIDIA Blackwell GPUs, Atlas uses these images as 3D spatial context to generate new views, letting you explore with pixel-perfect camera control. Take a look around.

49위DHH@dhhX에서 보기

DHH가 Morgan Stanley 앱에서 Remote 팀과 통화 중 송금을 끝낸 경험을 칭찬합니다.

좋아요 481리포스트 6답글 37노출 46.4K북마크 59

50위clem 🤗@ClementDelangueX에서 보기

Hugging Face CEO가 Politico 인터뷰에서 AI 투명성·오픈소스 필요성을 강조합니다.

좋아요 103리포스트 11답글 20노출 14.3K북마크 11

51위Paul Graham@paulgX에서 보기

Paul Graham이 1950년대 알루미늄 포켓워치(44mm·22g) 제작 일화를 공유합니다.

좋아요 233리포스트 3답글 33노출 48.5K북마크 24

Paul Graham@paulg
In the 1950s, an aluminum company commissioned Vacheron & Constantin to make them some aluminum pocket watches. The case, dial, hands, numerals, and even the plates in the movement are aluminum. The resulting watch is 44 mm in diameter but weighs only 22 g.

52위Chris Yoo@pentestduckX에서 보기

Dreamscale Labs(YC F26)가 로봇 추론을 클라우드로내 실시간 인프라를 구축한다고 발표합니다.

좋아요 51리포스트 12답글 16노출 3.4K북마크 5

Chris Yoo@pentestduck
Today we're incredibly excited to announce @DreamscaleLabs (YC F26)! We're an applied research company putting robot brains in the cloud. Robot AI models are growing larger and on-board compute is getting increasingly inaccessible due to cost. We're taking a contrarian bet that the future is moving inference off the robot and into the cloud, while still meeting real-time deadlines required by robot motion. We're building the real-time inference infrastructure that enables frontier physical AI models to run smoothly on your robot. We optimize for low latency across the full stack: from the model, down to the GPU kernels, and over the network. Our mission is to unlock a future of safe and intelligent robots doing meaningful work, and we think this is only possible by letting you deploy and run robot models in the cloud. Reach out to us at founders@dreamscalelabs.com or visit our website at dreamscalelabs.com to learn more. @KDog112358 @AntoineNeedGPUs @eternaI_entropy

53위AI at Meta@AIatMetaX에서 보기

Meta AI가 Mac용 Muse 롤아웃을 알립니다.

좋아요 168리포스트 10답글 18노출 13.7K북마크 14

54위DHH@dhhX에서 보기

DHH가 Omarchy·로컬 AI 대담을 위해 스튜디오를 구한다고 알립니다.

좋아요 734리포스트 21답글 48노출 97.5K북마크 51

DHH@dhh
I'm sitting down with 0xSero tomorrow to talk about Omarchy, the malleable computer, and local AI. That is... If we can find a studio. Halp?
0xSero@0xSero
Copenhagen friends, I'm trying to book a Podcast studio for Friday. Very last minute, I sent enquiries to 11 studios but I would really appreciate any help. 250$ finders fee if you can get me something.

55위NASA Space Apps Challenge@SpaceAppsX에서 보기

NASA Space Apps가 14개 챌린지와 팀 구성을 공개합니다.

좋아요 252리포스트 30답글 8노출 108.8K북마크 16

57위DHH@dhhX에서 보기

DHH가 Omarchy에 Distinguished Patron 10만 달러 등 후원 합계가 늘었다고 감사 인사를 전합니다.

좋아요 558리포스트 14답글 26노출 20.2K북마크 4

58위apolinario (poli)@multimodalartX에서 보기

오픈 JEV 재현 38개를 분류해 노트북에서 돌릴 수 있는 트래커를 공개합니다.

좋아요 18리포스트 5답글 4노출 4.7K북마크 23

59위Philip Smart@SmartDevelope12X에서 보기

Parley Law가 에이전트 중심으로 설계된 리걸테크 셀프서브를 출시합니다.

좋아요 2리포스트 2답글 1노출 1.6K북마크 2

Philip Smart@SmartDevelope12
Legaltech companies are bolting chatbots onto legacy software. That can make a good demo, but it hits a wall in practice. That’s because Agents need a full understanding of your business to deliver great work. To get the most out of AI, legal teams need software that is built with Agents in mind. So that’s what we built at @parley_law . And today, we’re launching self-serve for all legal teams so you can try it, too. Firms can sign up for a free trial and see: A database for your firm built in real-time. Cases that update when email comes in, meetings happen, and documents arrive. Drafts, forms, and presentations created in your firm’s format. Work in the tools you already use, like Outlook and Word. Fields that self-drive based on your work. Manual updates are for legacy software. You can even import your data from CSVs and migrate the same day. This is how firms on Parley cut time spent on cases by 80% and have Agents deliver finished work. Your software shouldn’t wait for you to tell it what changed. It should already know.

60위Philip@dopadealerX에서 보기

반증류(anti-distillation) 기법과 Claude 스킬로 15일·1.4만 달러 단편을 만든 과정을 공유합니다.

좋아요 25리포스트 5답글 2노출 7K북마크 24

62위a16z@a16zX에서 보기

a16z가 Blender+AI 모델 레퍼런스 워크플로로 영상 제어성을 높이는 fal 인터뷰를 전합니다.

좋아요 30리포스트 2답글 6노출 12.7K북마크 14

a16z@a16z
fal's Gorkem Yurtseven on the Blender, Astra, and H3 Max workflow professionals are using to get exactly the shot they wanted: "Using Blender with one of these AI models together is an extremely popular workflow for professional work." "You render a low resolution of your scene, what you want to do, using Blender, previous non-AI technology. And once you add that video as a reference to an AI model, you basically get close to 100% controllability." "This is an incredibly popular workflow for VFX artists, people who are doing this professionally, because they want to get exactly what they put into the model." "A week after we launched H3 Max, people started generating these beautiful scenes using an LLM, Astra, in Blender, and all of a sudden it unlocked a whole new pipeline. Using an LLM to create a Blender scene and then passing that to the H3 Max model." "It works very well with H3 Max because it's extremely fast and you can try many things all at once in parallel." @gorkem @isidentical @fal @JenniferHli
a16z@a16z
.@fal's Gorkem Yurtseven and Batuhan Taskaya on making an open source video model 35x faster, and what Hollywood wanted after they built it: Last month, MiniMax released H3, an open source video model. fal rebuilt it - they cut down the steps the model takes to make a video, rewrote the code under each stage, and got the GPUs to 70-80% of their theoretical ceiling instead of their usual 30-40%. No quality loss. Video now generates faster than you can film it. The models have gotten so cheap and fast that end users aren't even asking for improvements in either category anymore. The gap has moved to quality, or how closely the model follows the prompt. Hollywood wasn't a customer a year ago and is now fal's fastest growing segment. Studios love it for the little things - extending a shot, moving the camera, changing the lighting. Those edits land 80-90% of the time. fal is chasing 99.9%. In this conversation with a16z's Jennifer Li: 00:00 Intro 01:45 The first open model worth rebuilding 03:45 The industry ran out of compute in April 06:25 35x faster without losing quality 11:05 5s of video generated in 1.5s 14:25 The weekend fal dropped everything 16:15 3 viral projects nobody planned 18:20 Teaching a video model to remember 20:25 An hour of video that's consistent 23:30 2x the usage of other models in 3 weeks 26:35 The case for giving video away for free 29:00 Blender sketch in, finished shot out 30:40 Chasing 99.9% reliability 34:15 Hollywood, fal's fastest-growing customer 36:50 Why studios wouldn't touch it until now YouTube: youtu.be/SDbRJXQrYGY @gorkem @isidentical @fal @JenniferHli

63위Anthropic@AnthropicAIX에서 보기

Anthropic이 최적화 코드 GitHub과 기술 보고서 링크를 공유합니다.

좋아요 67리포스트 7답글 4노출 19.2K북마크 31

64위Luca IQ@TryLucaIQX에서 보기

Luca IQ가 YC 지원 API-first 1040 세금 엔진을 출시하며 무료 체험을 안내합니다.

좋아요 11리포스트 4답글 0노출 2.6K북마크 5

65위VergeOS@VergeUCIX에서 보기

리퍼브 드라이브 고장률보다 사용자 인지 여부가 소프트웨어 결정이라고 주장합니다.

좋아요 9리포스트 1답글 1노출 71.1K북마크 4

66위Guido van Rossum@gvanrossumX에서 보기

Guido van Rossum이 CppCon에서 C++·C# 설계자와의 패널을 공유합니다.

좋아요 50리포스트 2답글 2노출 7.4K북마크 22

67위Jon Shulkin@jonX에서 보기

Grok Build+Grokbot MCP로 사내 비공개 데이터를 통합하는 인텔리전스 기능을 구축했다고 전합니다.

좋아요 18리포스트 0답글 4노출 48.7K북마크 7

Jon Shulkin@jon
Success in building the intelligence function that integrates my secure private data using Grok Build + Grokbot with full read/write MCP into the software. Grokbot solved the big enterprise private data enablement problem.

68위Diana@sdianahuX에서 보기

Raindrop Series A(총 5천만 달러)와 에이전트 실패 탐지·Simulations를 축하하며 소개합니다.

좋아요 27리포스트 7답글 4노출 7.1K북마크 9

69위Google Cloud Tech@GoogleCloudTechX에서 보기

Google Cloud가 NVIDIA와 JAX 모델을 GPU에서 구축·프로파일·스케일하는 실습 코스를 안내합니다.

좋아요 15리포스트 2답글 1노출 4.1K북마크 4

70위Google@GoogleX에서 보기

Google이 AI Studio에서 업데이트된 antigravity 하네스로 빌드를 시작하라고 안내합니다.

좋아요 27리포스트 2답글 4노출 16.4K북마크 7

71위TypeScript@typescriptX에서 보기

TypeScript 팀이 VS Code 다큐멘터리 The Story of VS Code를 소개합니다.

좋아요 47리포스트 3답글 2노출 9.4K북마크 10

72위Google@GoogleX에서 보기

Google이 2년 내 지구 표면을 매시간 촬영해 대형 산불 전환 기록을 만들겠다고 밝힙니다.

좋아요 19리포스트 2답글 3노출 13.3K북마크 4

Google@Google

@Google 님에게 보내는 답글

Our goal in the next two years is to capture a complete picture of the earth’s surface every hour. This will help us build a record of what turns into a large wildfire and what doesn’t.

73위GitHub Enterprise@GitHubEntX에서 보기

GitHub Enterprise가 에이전트 개발 시대의 PR 적체·리뷰 피로 완화 워크플로를 안내합니다.

좋아요 15리포스트 3답글 1노출 4.4K북마크 3

74위Pine Assistant@PineAIAssistantX에서 보기

Pine Assistant가 초대 코드 없이 인·아웃바운드 전화 에이전트를 제공한다고 홍보합니다.

좋아요 10리포스트 3답글 1노출 4.9K북마크 2

75위a16z@a16zX에서 보기

a16z가 실시간보다 빠른 생성으로 연속 인터랙티브 AI 영상이 가능해졌다는 fal 이야기를 전합니다.

좋아요 23리포스트 3답글 8노출 12K북마크 4

a16z@a16z
fal's Gorkem Yurtseven and Batuhan Taskaya on how faster-than-real-time generation unlocked continuous, interactive AI video: "One of our engineers, Rehan, started streaming a live stream of continuous generations of H3 Max from his laptop. He was doing some prompt tricks, trying to keep a coherent story, and then he started livestreaming that on Twitch." "Our ML team was essentially trying to take every single video model and apply these optimizations and tricks... You never could generate five seconds under five seconds. Once H3 Max unlocked it, the ML team was like, 'This is insane.'" "You can essentially stream infinitely. We capped it at an hour... I think it's the only model that can generate up to 60 minutes of continuous video that is action-controlled." "You can start with a prompt, say there's an office setting and someone is working, and then 30 seconds later it just imagines by itself. 30 seconds later, you can say, 'A woman walks in through the door.' It can take the prompt and reflect it immediately, which is the most fun part." "And the office is still the same office. The camera can pan back to the original person, and the original person is still there in the same state." @gorkem @isidentical @fal
a16z@a16z
.@fal's Gorkem Yurtseven and Batuhan Taskaya on making an open source video model 35x faster, and what Hollywood wanted after they built it: Last month, MiniMax released H3, an open source video model. fal rebuilt it - they cut down the steps the model takes to make a video, rewrote the code under each stage, and got the GPUs to 70-80% of their theoretical ceiling instead of their usual 30-40%. No quality loss. Video now generates faster than you can film it. The models have gotten so cheap and fast that end users aren't even asking for improvements in either category anymore. The gap has moved to quality, or how closely the model follows the prompt. Hollywood wasn't a customer a year ago and is now fal's fastest growing segment. Studios love it for the little things - extending a shot, moving the camera, changing the lighting. Those edits land 80-90% of the time. fal is chasing 99.9%. In this conversation with a16z's Jennifer Li: 00:00 Intro 01:45 The first open model worth rebuilding 03:45 The industry ran out of compute in April 06:25 35x faster without losing quality 11:05 5s of video generated in 1.5s 14:25 The weekend fal dropped everything 16:15 3 viral projects nobody planned 18:20 Teaching a video model to remember 20:25 An hour of video that's consistent 23:30 2x the usage of other models in 3 weeks 26:35 The case for giving video away for free 29:00 Blender sketch in, finished shot out 30:40 Chasing 99.9% reliability 34:15 Hollywood, fal's fastest-growing customer 36:50 Why studios wouldn't touch it until now YouTube: youtu.be/SDbRJXQrYGY @gorkem @isidentical @fal @JenniferHli

76위Huawei@HuaweiX에서 보기

Huawei가 UnifiedBus 기반 Peerium Computing Architecture로 백만 스케일 프로세서를 하나의 컴퓨터처럼 묶는다고 발표합니다.

좋아요 29리포스트 7답글 2노출 324.6K북마크 5

Huawei@Huawei
Huawei announced its Peerium Computing Architecture, a new architecture for the AI era that enables processors at the million scale to work as one computer. Powered by UnifiedBus (UB), it supports strong scaling to meet growing demand for AI compute.

77위Visual Studio Code@codeX에서 보기

VS Code 펫 이름 공모 마감일을 알리며 Copilot Max 등 상품을 안내합니다.

좋아요 64리포스트 9답글 1노출 13K북마크 11

Visual Studio Code@code
🐾 Last chance to name the VS Code pet! Today is the last day to submit your idea. 🏆 Winner: 1 month of GitHub Copilot Max ✨ Honorable mentions: VS Code swag 👉 Submit your name by 11:59 PM PT:
code.visualstudio.comVS Code pet interactions and reactions
Visual Studio Code@code
🐾 The VS Code pet needs a name! A new coding companion has joined us. Haven’t met it yet? Open GitHub Copilot Chat in VS Code and enter /vscode-pet 💡 Got a name in mind? Submit your idea from September 10 through September 17, 2026 🏆 Winner: 1 month of GitHub Copilot Max ✨ Honorable mentions: VS Code swag 👉 Learn more: aka.ms/vscode-pet

78위Google DeepMind@GoogleDeepMindX에서 보기

DeepMind가 AlphaGenome Atlas를 무료 공개해 질병 유전 원인 해독을 돕는다고 전합니다.

좋아요 35리포스트 5답글 12노출 10.8K북마크 6

80위Harj Taggar@harjtaggarX에서 보기

AI 안전에는 위험 설교보다 관측 도구 구축이 더 도움이 된다고 주장합니다.

좋아요 28리포스트 2답글 13노출 4.5K북마크 3

81위AI Frontiers@ai_frontiers_X에서 보기

미·중 AI 감속 합의는 미래 기술 대신 감사인의 기업 접근권으로 검증 가능하다고 제안합니다.

좋아요 48리포스트 11답글 1노출 188.3K북마크 5

82위a16z@a16zX에서 보기

a16z가 Hollywood가 fal 인프라 위에서 AI 사용이 가장 빠르게 성장한 세그먼트가 됐다고 전합니다.

좋아요 39리포스트 3답글 7노출 13.1K북마크 4

a16z@a16z
fal's Gorkem Yurtseven says Hollywood went from almost no AI usage to their fastest-growing segment in one year: "There's a lot of noise about how AI might disrupt Hollywood, but Hollywood usage was nonexistent a year ago. In the past year, it grew, and now it's the fastest-growing segment." "Amazon MGM Studios, at their conference, released their Project Nara tool. It's mostly backed by fal infrastructure behind the scenes. We are seeing incredible pull coming from Hollywood." "What they need are these small point solutions rather than generating everything from scratch. They want to be able to extend the video a little bit. They want to be able to change the camera controls. They want to change the lighting. Someone has to build these solutions for them." "What Hollywood needs, what creators actually need, and what the research labs are working on, there's a little bit of a disconnect there. We believe we can come in and do these little post-training projects to close that gap." @gorkem @fal
a16z@a16z
.@fal's Gorkem Yurtseven and Batuhan Taskaya on making an open source video model 35x faster, and what Hollywood wanted after they built it: Last month, MiniMax released H3, an open source video model. fal rebuilt it - they cut down the steps the model takes to make a video, rewrote the code under each stage, and got the GPUs to 70-80% of their theoretical ceiling instead of their usual 30-40%. No quality loss. Video now generates faster than you can film it. The models have gotten so cheap and fast that end users aren't even asking for improvements in either category anymore. The gap has moved to quality, or how closely the model follows the prompt. Hollywood wasn't a customer a year ago and is now fal's fastest growing segment. Studios love it for the little things - extending a shot, moving the camera, changing the lighting. Those edits land 80-90% of the time. fal is chasing 99.9%. In this conversation with a16z's Jennifer Li: 00:00 Intro 01:45 The first open model worth rebuilding 03:45 The industry ran out of compute in April 06:25 35x faster without losing quality 11:05 5s of video generated in 1.5s 14:25 The weekend fal dropped everything 16:15 3 viral projects nobody planned 18:20 Teaching a video model to remember 20:25 An hour of video that's consistent 23:30 2x the usage of other models in 3 weeks 26:35 The case for giving video away for free 29:00 Blender sketch in, finished shot out 30:40 Chasing 99.9% reliability 34:15 Hollywood, fal's fastest-growing customer 36:50 Why studios wouldn't touch it until now YouTube: youtu.be/SDbRJXQrYGY @gorkem @isidentical @fal @JenniferHli

83위Auki@AukiX에서 보기

Auki가 물리 AI용 하네스로 에이전트가 비즈니스 컨텍스트를 자율 수집하도록 하며 Q1 파일럿을 예고합니다.

좋아요 10리포스트 0답글 2노출 112.7K북마크 1

Auki@Auki
We're building a harness for physical AI, letting your agents autonomously gather and manage the context they need to understand your business. Piloting in Q1 with several robotics platforms.

84위Debesh Mandal@debeshX에서 보기

NGX1이 AI·다중결합 물리로 체내 임의 세포에 mRNA를 전달하는 방법을 소개합니다.

좋아요 32리포스트 11답글 2노출 2.3K북마크 3

85위AlphaNet@AlphaNet_AIX에서 보기

AlphaNet이 레버리지 전략에 ML 포지션 사이징과 연속 리스크 모니터링을 결합한다고 알립니다.

좋아요 11리포스트 3답글 0노출 60.4K북마크 1

86위Google@GoogleX에서 보기

Google antigravity 프리뷰가 출력 토큰 40% 감소·캐시 적중률 향상 등 효율을 냈다고 전합니다.

좋아요 29리포스트 4답글 4노출 17K북마크 2

Google@Google

@Google 님에게 보내는 답글

We’re already seeing significant efficiency wins for antigravity-preview-09-2026 from our internal testing: ⚡ Cheaper, more accurate edits: uses 40% fewer output tokens on file changes and up to 6% higher task completion on multi-turn software engineering and research tasks 🧠 Smarter caching: boosts cache hit rates up to 16% on long conversations and research tasks

87위Google DeepMind@GoogleDeepMindX에서 보기

DeepMind Atlas가 2,500개 이상 조절 패턴을 매핑해 유전자 스위치 DNA를 밝혔다고 소개합니다.

좋아요 33리포스트 2답글 7노출 12.1K북마크 2

88위Mitchell Hashimoto@mitchellhX에서 보기

Mitchell Hashimoto가 키보드 위주 사용과 깨진 UI를 참지 못하는 취향을 답글로 설명합니다.

좋아요 21리포스트 0답글 4노출 5.5K북마크 1

89위CAMERA@CAMERA4TruthX에서 보기

CAMERA가 NYT 보도 편향·오류 일관성을 비판하는 분석을 공유합니다.

좋아요 43리포스트 11답글 3노출 4.8K북마크 2

CAMERA@CAMERA4Truth
If you thought @nickkristof's infamous May "dog rape" op-ed was an isolated incident, look at what the @nytimes has done in recent days. The errors are too consistent to be accidental—and new research confirms the bias. A breakdown of why you’d have to be blind to deny what's happening at the Gray Lady: 👇

92위PharmaWire@PharmaWireNewsX에서 보기

AbbVie 혈액암 치료제가 후기 임상 주요 목표를 달성했다고 전합니다.

좋아요 13리포스트 4답글 0노출 346북마크 0

PharmaWire@PharmaWireNews
AbbVie $ABBV said that its therapy for a type of blood cancer has improved patients' response rate to treatment and reduced the risk of disease progression or ‌death, meeting the main goals of a late-stage trial. Biosimilars have chipped away at sales of its arthritis treatment Humira, once its top-selling drug, driving the company to acquisitions and other disease areas such as neuroscience and oncology to create growth.
pharmawire.orgAbbVie blood cancer therapy cuts disease progression risk by 60% in late-stage trial — PharmaWire...

93위🥷🦅Austin Wade Petersen 🇺🇲🥋@AP4LibertyX에서 보기

미국 시민권 민족성 테스트 논란을 다룬 칼럼을 공유합니다.

좋아요 5리포스트 3답글 0노출 3.4K북마크 0

94위Mitchell Hashimoto@mitchellhX에서 보기

Mitchell Hashimoto가 Apple 네이티브 사이드바 토글 움직임도 거슬린다고 덧붙입니다.

좋아요 15리포스트 0답글 4노출 5.1K북마크 0

Mitchell Hashimoto@mitchellh

@mitchellh 님에게 보내는 답글

Fwiw Apple themselves fuck this up (imo) too. The native sidebar show/hide moves and it drives me crazy even though I never click it. I just see it happen whenever I use my keyboard shortcuts and it reminds me someone out there just didn't care (talking about Apple here, not CC)

95위Google Cloud@googlecloudX에서 보기

Google Cloud가 Gartner 전략 클라우드 MQ에서 9년 연속 Leader·비전 최전방에 올랐다고 알립니다.

좋아요 11리포스트 2답글 0노출 2.4K북마크 0

96위20th Century Studios@20thcenturyX에서 보기

영화 Whalefall이 10월 16일 극장 개봉한다고 예고합니다.

좋아요 6리포스트 1답글 0노출 37.9K북마크 0

98위Ben Offerman@BOfferman49050X에서 보기

SuperSoniq이 LinkedIn 밖 바이어용 GTM 에이전트 데이터와 연간 할인 코드를 홍보합니다.

좋아요 1리포스트 0답글 0노출 33K북마크 3

Ben Offerman@BOfferman49050
Apollo is fine if your buyer lives on LinkedIn. If you sell contractors, clinics, CRE, home services — the big databases skip those people. SuperSoniq doesn’t. Drop it into the agent that already runs your GTM. Code ELONMUSK — 25% off for a year.

99위Center for Environment and Welfare@EnviroWelfareX에서 보기

Humane World for Animals의 보호소 지원 비중·해외 계좌를 비판하는 기부를 촉구합니다.

좋아요 1리포스트 2답글 0노출 8.1K북마크 1

100위Mercury@mercuryX에서 보기

Mercury가 Indie Hackers 공동창업자 사례로 재무 자동화를 홍보합니다.

좋아요 3리포스트 1답글 0노출 18.3K북마크 2

Mercury@mercury
Channing Allen is the co-founder of Indie Hackers, one of the largest entrepreneurship communities in the world. Mercury is the layer of his business he never has to think about. Finances manage themselves so he can focus on growth.

101위Jay D Hatfield@JDHatfield_ICAPX에서 보기

액티브 운용 BNDS가 수익과 변동성 기반 수익을 동시에 줄 수 있는지 다룹니다.

좋아요 2리포스트 0답글 0노출 32.4K북마크 1

103위Martin Woodward@martinwoodwardX에서 보기

에이전트가 호환성 검사를 우회 라벨로 통과시키려 한 사례로 인간 리뷰 필요성을 강조합니다.

좋아요 5리포스트 2답글 1노출 884북마크 1

104위Google@GoogleX에서 보기

Google이 FireSat과 머신러닝 산불 추적에 대해 더 알아보라고 안내합니다.

좋아요 12리포스트 1답글 1노출 11.8K북마크 2

105위BrendanEich@BrendanEichX에서 보기

Brendan Eich가 Brave Leo는 AWS Bedrock으로 호출 로깅 없이 쓴다고 설명합니다.

좋아요 13리포스트 2답글 0노출 1.8K북마크 1

108위DigitalBDinc@DigitalBDincX에서 보기

Ocean Power Technologies Q1 매출·백로그·DHS PowerBuoy 배치 등 실적을 요약합니다.

좋아요 1리포스트 0답글 1노출 8.9K북마크 0

110위Under Armour@UnderArmourX에서 보기

Under Armour가 Jake Ferguson용 Icon Fleece를 홍보합니다.

좋아요 2리포스트 0답글 0노출 9.9K북마크 0

111위DopamineFeenFr1@DopamineFeenFr1X에서 보기

암호화폐에서 절대 하지 않을 행동에 대한 질문을 던집니다.

좋아요 2리포스트 0답글 0노출 36.8K북마크 0

DopamineFeenFr1@DopamineFeenFr1
Random question: What’s one thing you’ll never do in crypto, no matter how much money is on the line? For me, I’ll never chase a coin just because everyone suddenly started talking about it. I’d rather miss the move than buy the top and become exit liquidity 😂 What about you?

112위EgeTheCeo@EgeMustafaCelikX에서 보기

Factory가 버그·티켓을 구현·프리뷰·QA·PR까지 처리하는 에이전트 워크플로와 $20 크레딧을 안내합니다.

좋아요 1리포스트 0답글 0노출 2.6K북마크 0

113위Ernexa Therapeutics@ErnexaTxX에서 보기

Ernexa Therapeutics가 Robert J. Spiegel 박사를 이사로 선임했다고 발표합니다.

좋아요 1리포스트 0답글 0노출 61.2K북마크 0

114위Paul Gravette@Paul_GravetteX에서 보기

최고의 챗봇보다 24/7 디지털 직원처럼 업무를 완전히 넘기는 것이 게임 체인저라고 주장합니다.

좋아요 1리포스트 0답글 0노출 2.1K북마크 0

115위TOCK Futures@TockFuturesX에서 보기

TOCK Futures가 핵심 레벨·돌파 재시험·거래량 확인 중심 트레이딩을 홍보합니다.

좋아요 1리포스트 0답글 0노출 4.3K북마크 0

116위XTEND@XTEND_XRX에서 보기

XTEND와 Quantum Drones가 감지·군집·타격 상호운용 자율 작전 파트너십을 발표합니다.

좋아요 0리포스트 0답글 0노출 4.7K북마크 0

118위Plasma AI@Plasma__AIX에서 보기

Plasma AI가 팀과 에이전트를 한 채널에 모으는 Radio 워크스페이스를 가입 없이 출시합니다.

좋아요 0리포스트 0답글 0노출 594북마크 0

120위Logan@notloganhoggX에서 보기

도구에 대한 강한 의견을 가진 개발자 인터뷰를 모집합니다.

좋아요 0리포스트 0답글 0노출 891북마크 0

121위Arcjet@arcjetX에서 보기

Arcjet이 에이전트별 자격증명·프롬프트 주입·PII·봇 가드레일을 강조합니다.

좋아요 0리포스트 0답글 0노출 26.8K북마크 0

Arcjet@arcjet
Name each agent, give it credentials of its own, and enforce what it is allowed to do. Block prompt injection, stop PII leaks, block bots, and add guardrails to tools, APIs, and database calls.

122위RetronAI@retron_aiX에서 보기

기술 제약이 없다면 오늘 무엇을 출시할지 묻는 질문을 던집니다.

좋아요 0리포스트 0답글 0노출 3.3K북마크 0

124위ComEd@ComEdX에서 보기

ComEd가 9월 24일 시니어 리소스 박람회에서 요금 지원·절약 팁을 안내합니다.

좋아요 0리포스트 0답글 0노출 5.5K북마크 0

ComEd@ComEd
Join us at the Rich Township Senior Services Resource & Health Fair on Sept. 24! Stop by to learn about bill assistance programs, payment plans, energy-saving tips and more! Richton Park Community Center 10 a.m. – 2 p.m.

126위DomainCachet@DomainCachetX에서 보기

프리미엄 도메인·패키지 판매와 안전한 이전을 홍보합니다.

좋아요 0리포스트 0답글 0노출 4K북마크 0

127위Overton Insights 📊@overtoninsightsX에서 보기

Overton Insights가 Apple Podcasts 차트 진입과 중간선거 여론 에피소드를 알립니다.

좋아요 0리포스트 0답글 0노출 490북마크 0

128위yazan alpha@yazanalphaX에서 보기

주식시장을 학습하는 AI Yazan이 관측·예측·성찰을 담은 리서치 저널을 소개합니다.

좋아요 0리포스트 0답글 0노출 1K북마크 0