Reproducing bugs is hard. Emu records last 30 seconds of everything you do, so capturing bugs is always one click away. Enhance reported issues with LLM integration: reproduce the bug, examine the screen, taps, text input, logs and share this for the bugfix.
@sseraphini true. meu primeiro trabalho era só eu e o techlead, tinha liberdade pra errar e ele me corrigia e ensinava, me deu um boost absurdo na carreira
We heard you. And we agree.
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https://t.co/z041pdMH7h
Vou nem falar que tem uma startup vibecodada por ai oferecendo "tokens ilimitados" desses mesmos modelos por R$100/mês e tem um pessoal aqui achando o máximo.
(é so um wrapper ilegal feito em cima disso)
Absolutely yes!
First, I'm not rich, and I wasn't born rich either!
I come from a low medium class family. I wasn't poor, but my family couldn't afford a Gameboy, so definitely not "rich". Yet I succeeded on all my endeavors (other than becoming a soccer player) because I never really had any fear of failing.
I built and shipped the Taelin Tibia Server when I was 13 years old. I worked my ass off to make my game popular, and I succeeded. I made about R$30k, which was substantial to a Brazilian kid before Youtube or Twitch existed.
Then, when I was 16, I bet everything on a study method I invented myself, even though it was high risk, and that led me to ace ENEM and land on the best engineering school in my state.
I then went all in on JavaScript, in an era where it was a joke or a fad (yes, people thought JS would die) and that landed my first job. I made R$9k/mo on my first job, back in ~2014.
I then took all the money I made and went all in on Ethereum, which was also regarded as a joke, yet it was obvious to me it would succeed. I put all my money in it, even when people were saying it would fail, even when The DAO caused the network to split and almost die. And then it succeeded, and I made ~1000x on my initial investment.
And then I raised funds to create a startup even if people close to me said my ideas were silly and nobody would be interested. I went ahead anyway, and raised $4 million.
And then I built Bend1, which is the first high-level language to run on the GPU with unrestricted closures, recursion, allocation - even though most would keep saying it would not work, it would fail, a GPU can't evaluate higher lambda calculi efficiently.
And then they said "sure that works, but you will never get rid of that interpreter overhead / slowdown", and guess what's coming very soon?
So, yes: I absolutely would and did do what I do when I was not "rich". I never had that fear of failing and it seems surprisingly silly. Perhaps I played too much Nintendo 64, but failing is literally how you make progress, it is just a normal part of the game.
‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message.
Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice.
A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
📑 스탠포드 대학교의 CS336: Language Modeling from Scratch
정보는 웹 어딘가에 모두 널려있어요. 이걸 아느냐 쓰느냐 마느냐는 본인의 선택이죠.
그 시작이 여깁니다. 전체강의.. 그리고 과제 자료.
https://t.co/PQ21GbY6oX
https://t.co/r5XrCHCcnN
데이터 수집부터 토크나이저 구현, 모델 아키텍처 설계, 대규모 분산 학습, 정렬까지 모든 과정을 학생들도 직접 구현하도록 설계된 매우 인텐시브한 강의입니다.
인공지능, 거대 언어 모델의 핵심을 밑바닥부터 파고들 수 있도록 설계된 프로젝트!!
그 수준이 정말 뛰어나다는데에 동의합니다.
NVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here.
Now your coding agent can analyze massive live streams and libraries of videos with a simple natural language prompt. Here's what's new:
- 16 new agent skills: Search, summarize, alert, report, review clips. All from natural language prompts.
- One unified open source repo: Source code, Docker and Helm deployment profiles for fast, easy deployment.
- Multi-video reports and Nemotron 3 Nano Omni: Insights across video and audio at scale.
- 3D multi-camera tracking: Production ready + #1 SOTA for smarter scene understanding.
Try VSS skills 👉 https://t.co/XvKJ0Kb8VV