Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic. These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works. We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next. openai.com/index/low-resourc…

Next year, I will give one of my SpaceX shares to every kid in America. This will be the first of many.

Optimus and Cybercab will be the vast majority of Tesla’s value. The only things that will scale to incredible size (K2 and beyond) economically are super intelligence, robots, solar power and mass to space. And, of course, if you have the first two, the rest will follow. But Roadster is super cool, so we’re doing it anyway.

We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. anthropic.com/news/public-be…

Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.

GPT-6 Astra Pro in ChatGPT got an upgrade with faster responses and improved use of plugins and tools. And now, multiple agents can tackle different parts of a task in parallel. You can follow each agent’s progress and open completed tasks to review their work. Now available to Pro users in the Chat tab.

뭐야 이건 또 언제 준비했냐? 1. 팔란티어가 또 하나 공동 개발 플랫폼을 공개했는데 2. 미국 관리형 IT 서비스 회사 'Thrive'와 공동 개발 했고 3. 'Vero'라는 AI Fabric를 구축했다고 공개함 ※ Thrive의 여러 IT 보안 시스템 데이터를 하나로 연결하고 AI가 업무 맥락을 이해/자동화/의사결정을 돕게 만드는 공통 AI 플랫폼이라 소개 중 4. 그래서 내부 평가로는 -작업 처리 시간을 19% 단축 -라우팅을 36% 개선 했다고 공개 함 5. 이게 핵심은 내부용 플랫폼 사용뿐 아니라, 고객에게 제공하는 관리형 서비스 AI 플랫폼으로 만들었다는 점 6. 즉, 에어버스 SKYWISE 같은 / 고객이 고객을 낳는 '황금 알을 낳는' 그거 맞음 ㅇㅇ 7. Thrive가 해당 플랫폼으로 알아서 고객 물어올 예정이고 8. 이미 직원만 1,400명 7개국에서 사업 중이라 또 다른 황금 알을 낳는 고객이 될 수 있다고 본다 🫡

The new Tesla Roadster is a candidate for greatest product demo of all time

Introducing Grok Voice 3.0, the world’s most intelligent speech-to-speech model. It excels at resolving customer calls, responds in under a second, and costs less than other frontier models.

The Tesla Model 3 with FSD is mind-blowing. Jessica and I drove to the gym without touching the controls once. It backed out of our driveway, drove there, and backed into a parking space. It's amazing that you can buy so much future for $40k.

We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.

앤트로픽에서 어제 공개한 아티클입니다. 프론티어 레드팀에서 작성했습니다. <<AI 모델은 데이터센터에 접근하지 않고도 스스로 복제할 수 있을 것이다>> anthropic.com/research/self-…

We've unified plans across Grok, Cursor, and X Premium. Introducing The X Subscription.

If you’re a world-class chip design or production engineer, consider joining SpaceX or Tesla. How cool would it be to iterate on designs and customize production machines at lightning speed?

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

*NVIDIA IN TALKS TO ACQUIRE REFLECTION AI: FT Jensen going all-in open models.

One month after launch, we've scaled to 300+ Cybercabs serving Austin – an 8x increase in 30 days

We announced an agreement to acquire a nationwide low-band spectrum license portfolio that will pave the way for @Starlink to become a major mobile carrier in the US. With this new spectrum and our Gen2 constellation, Starlink Mobile can ensure Americans have access to high-speed mobile broadband no matter where they are → spacex.com/updates#starlink-…

Today at Google Cloud’s Gemini at Work event, we announced Gemini, a new single universal agent for work that has all of your business context and can be used for everything from knowledge work to answering questions, and content creation to coding, all from a single prompt box. It’s built around core architectural principles: ☑️ Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box. ☑️Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface. ☑️Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it. ☑️Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity ☑️Context: Gemini knows your tools, data, and work history and learns how you work the more you use it. ☑️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.