TARS는 OpenClaw / Hermes Agent 류의 로컬 AI 에이전트 런타임을 제 방식으로 만들어보는 프로젝트입니다.
개발자 친화적인 CLI보다는 일반 사용자 친화적인 웹 GUI 콘솔을 통해 실행 흐름, 메모리, 스케줄, Git 변경을 시각적으로 확인하고 제어할 수 있게 만들고 있어요.
아직은 버그도 많고 기능도 부족하지만, 관심 있는 분들은 편하게 연락 주세요.
https://t.co/Rwmg3xHIxn
Siri AI, 화면·메일·사진을 읽는 Apple의 새 개인비서 실험
2년 가까이 늦어진 Siri 개편이 iOS 27 개발자 테스트로 들어갔다. 핵심은 단순 음성비서가 아니라 화면 인식, 개인 맥락, 웹 지식을 묶어 앱 안에서 행동하는 Apple Intelligence 구조다. Siri 개편의 승부처가 드디어 실제 테스트 단계로 넘어갔다. Apple은 2026년 6월 8일 WWDC 발표에서 Siri AI를 공개하고, iOS 27, iPadOS... https://t.co/WBuLmVsNBi
The creator of Linux just publicly called out the AI hype. Word for word.
Linus Torvalds took the stage at Open Source Summit 2026 and said this:
"When I see people saying 99% of our code is written by AI, I literally get angry. Because those same people — I can pretty much guarantee — 100% of their code is written by compilers. But they never say that."
He is not anti AI. The Linux kernel saw a 20% jump in submissions this release because of AI tools. He uses it. He gets it.
His point is something most people are too afraid to say.
AI is a productivity tool exactly like compilers were. Compilers boosted programming by 1000x. AI adds another 10x on top. Enormous. But nobody says "the compiler wrote my code." So why are we saying AI wrote it?
He also flagged something nobody is talking about.
AI is flooding small open source projects with drive-by bug reports. Someone runs a prompt, files a report and disappears when asked for a patch. Maintainers with one or two people are drowning trying to keep up.
"Sometimes AI reports a bug and when you ask for more information the person has done that drive-by and does not even answer your question. That is the real burnout issue."
And his final warning was the sharpest of all.
"People who do not understand the complexity of systems will prompt systems and write processes that will fail."
The AI hype crowd is very loud right now.
Linus has been building real systems for 35 years. When he talks, engineers listen.
Full interview here:
https://t.co/LmXJtvKc4O
El código nunca fue lo difícil de hacer software. Era lo divertido.
Lo difícil siempre fue el cliente: requerimientos confusos, features innecesarias y un "hazlo igual" porque el que paga manda.
Lo único que cambió con la IA es que ahora el cliente puede arruinar el proyecto solito, sin necesidad de un dev.
X에서 새로운 소식을 보고있자니 피로감이 밀려옴. 대부분 과장이 많아서 사실 여부 확인하는 비용이 더 큼. 이제는 아 이런게 나왔네 정도로 가볍게 보고 있긴한데 한심한 생각도 들고. 예전엔 관심 받고 싶어 어그로를 끌었다면 이젠 돈 때문인가? 그 외에 다른 동인은 별로 없어 보임. 내가 사용을 잘못하고 있을까라는 의심도 들고.
Meet Gemma 4 12B!
A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license.
Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇
Pewd did it again. now he open-sourced a self-hosted AI workspace. bro is building a CV harder than a CS undergrad looking for a job:
> built a 10-GPU home rig
> quantized giant LLM to run local
> built ChatOS, local AI UI
> added RAG/local memory
> built “council” of AI models
> built “swarm”, small models in parallel for data collection
> fine-tuned a Qwen 32B-based coding model
> donated compute from his GPU rig for protein folding research
grok-build-0.1 API beta, $1/$2 per million tokens로 코딩 에이전트 시장 압박
xAI가 Grok Build CLI의 기반 모델을 API 베타로 열며 가격을 전면에 세웠다. 입력 100만 토큰당 $1, 출력 100만 토큰당 $2는 코딩 에이전트 비용 경쟁을 직접 겨냥한 수치다. 코딩 에이전트 경쟁의 다음 변수는 모델 성능만이 아니라 장시간 작업을 감당할 토큰 비용이다. xAI는 2026년 5월 29일... https://t.co/Mu6tTWZ1GI
AI가 모든 인간을 대체할 것 -> 정리해고 -> 비용증가 및 한계 목격 -> 아닐지도, 인간이 더 싸다, AI시기상조론 부상 -> 다시 채용증가 -> AI 비용 하락 및 한계극복 -> 반복… 이 흐름은 계속 있어왔지만 우리는 같은 실수를 반복한다. 사실 그러면서 경험을 쌓고 또 발전하는거지. 같은 곳을 맴도는 것 같지만 다른 각도에서 보면 나선일거야
외주 인력 + LocalAI 조합이 곧 프론티어 랩보다 경제적이 될 것
- 미국 프론티어 랩들의 API 가격이 지속 인상되는 가운데, 저비용 국가 엔지니어와 DeepSeek 같은 오픈소스 모델 조합이 경제적 대안으로 부상 중
- GPT-5․5, Gemini 3․5 Flash, Opus-4․7 등 최신 프…
https://t.co/pgi9ZcYzQM
Launching our new paper on arXiv: we trained the largest multilingual food model ever built.
4.1M recipes. 7 languages. 1,790 ingredients. 300 dimensions.
All of human cooking compressed into 2 megabytes.
Elon Musk just answered the one question behind every company he’s ever built.
It has nothing to do with money.
Musk: “The image in my mind is of a tiny candle in a vast darkness. A tiny candle of consciousness that could easily go out.”
The universe is 13.8 billion years old.
For almost all of that, nothing existed that could think.
Nothing could feel.
Nothing could wonder why it was here.
Stars burned for billions of years and nothing ever knew what light was.
Then on one rock, orbiting one unremarkable star, in one galaxy among two trillion others, matter arranged itself into something that could ask a question.
That’s you.
You are atoms forged inside a collapsing star billions of years ago that somehow learned to read this sentence.
Musk: “We have 9,000 satellites up there, and not once have we had to maneuver around an alien spaceship.”
No signals. No visitors. No wreckage.
93 billion light-years of observable space and nothing but silence.
That silence might be the most important data point in human history.
Because what happened on this planet might not have happened anywhere else.
Not once in 13.8 billion years.
Musk: “I think we need to assume that life and consciousness is extremely rare, and it might only be us.”
If that’s true, every company he’s ever built makes perfect sense.
SpaceX exists to make consciousness multi-planetary before a single asteroid turns 4 billion years of evolution into debris.
Tesla exists to stop us from poisoning the only atmosphere we have.
Neuralink exists because biology has an expiration date and consciousness might not have to.
These aren’t businesses.
They’re survival architecture for the only awareness the universe has ever produced.
People debate the posts. Mock the timelines. Reduce everything to stock prices and headlines.
But almost nobody engages with the argument underneath all of it.
And the argument is this.
Without consciousness, the universe still exists. Stars still burn. Galaxies still collide.
But nothing experiences any of it.
Without a witness, existence means nothing to anyone.
You are that witness.
The only one the universe has ever produced.
And one person understood what that means.
WTF?! This changes image generation forever! 🤯 PrismML just released Binary and Ternary Bonsai Image 4B!
That's right, 1-bit diffusion models are here. Only ~3GB in size (FLUX.2 Klein 4B is 16GB).
The most shocking part? It can run 100% locally in your browser. Try it now! 👇
NASA Just Dropped the Sharpest True-Color Image of the Moon Ever Captured! Forget the dull grey rock you’ve seen in every textbook and photo. NASA has released a stunning new true-color mosaic of the Moon that reveals its real face — a vibrant, mineral-rich world painted in rusty browns, deep blues, pale golds, and subtle reds.This isn’t an artistic rendering. It’s the highest-resolution, most accurate color view of the lunar surface ever made publicly available.What the colors actually mean:Bluish patches = Titanium-rich mare basalts (some of the most valuable resources on the Moon)
Reddish-orange and brown tones = Iron-rich soils and ancient feldspar highlands
Pale golds and whites = Pure anorthosite crust from the Moon’s early magma ocean
Every shade is a 4.5-billion-year-old chemical fingerprint telling the story of volcanic eruptions, massive impacts, and the Moon’s fiery birth.Key Highlights: Highest-resolution true-color image of the entire Moon to date
Reveals mineral composition visible to the naked eye (if you were standing on the surface)
Combines decades of orbital data into one breathtaking global portrait
Proves the Moon is far more geologically diverse and colorful than we’ve been taught
We’ve been staring at the wrong version of our nearest neighbor for centuries. The real Moon isn’t monochrome — it’s a swirling canvas of cosmic chemistry, just three days away by spacecraft.The era of serious lunar exploration just got a lot more beautiful.
Google acaba de publicar el estándar de Code Review que usan sus ingenieros internos.
Literalmente puedes darle esta documentación a un agente de IA y convertirlo en un revisor de código con estándares de Google.
La mayoría de IAs solo generan código.
Ahora también pueden:
→ detectar malas prácticas
→ revisar arquitectura
→ pedir cambios útiles
→ validar legibilidad y mantenibilidad
→ dar feedback estilo Google
El documento incluye cómo revisan código realmente dentro de Google:
→ criterios de aprobación
→ qué bloquea un merge
→ cómo escribir código fácil de aceptar
→ términos internos como LGTM y CL
No es teoría.
Es el sistema real que usa Google para revisar millones de líneas de código.
Enlace abajo 👇
The logic here is flawed.
Matter is indeed immortal, but "we" are more than just matter.
Think of a book. If you burn it, all of its atoms remain as gas, smoke and ash - physically, they aren't destroyed. But the book itself is gone. The unique order of letters, the meaning of the words and the photos are destroyed forever.
The same goes for death. Our atoms don't vanish - they just return to the cycle of nature. But the complex structure - our personality, memory and consciousness - breaks down🤷♂️
The immortality of matter does not mean the immortality of the self. When we die, we simply turn into cosmic ash ~