Gemini 4 Carbon 发布，ChatGPT 支持短信交互

RT @dieworkwear: this is what dessert at the cheesecake factory looks like https://t.co/3bp2qqawJ6

RT @danintheory: We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity…

⚡Iterating at lightning speed! Gemini 4 Carbon is SOTA across key benchmarks and combines frontier capabilities with deep safety & security research. https://t.co/TC8Y8ziPOI

RT @ChatGPT: By popular request, you can now text your dot. Give it a task to take off your plate or something to keep an eye on, using te…

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...

RT @chrislhayes: The McConnell Precedent.

RT @jessica_smetana: oh god get a grip

RT @general_compute: 🚨 Big news today: We’ve raised $100M for our Series A! 🎉 🚀 We believe demand for fast inference is many times larger…

RT @KITP_UCSB: Statement of Yang-Mills Working Group, a scientific collaboration to interpret AI result related to the existence of quantum…

RT @SkinnerPm: In a functioning government & decent society, everyone involved in this post would be fired & walked out of the building. Bu…

Here is a complete family of open-weight, small models for text, vision, audio, and structured decisions. They are around 2B parameters. You can easily fine-tune these models and start using them in your application.

RT @biosemiote: The formal proof of CFSG may now be among the largest open-source projects ever. Watching agents assemble it is a reminder…

Everyone should focus on automating code reviews. Right now, agents can write a virtually infinite amount of code, but it's for nothing if it doesn't work. I see people clinging to "manually reviewing the code" as the only way forward. I think this is a mistake and a major bottleneck we all need to get rid of. You want people to focus their time on things only people can do. You want agents to focus on everything else. There's no one-size-fits-all solution here, but you should spend as much time as possible building a process that removes the review bottleneck.

RT @JL_Baseball: A source said that the Guardians were open to allowing Vogt the Mariners opening, but he preferred to stay in Cleveland

A bunch of agents chose which tasks to work on, wrote proofs, audited each other's work, and merged their contributions. This is what software development will look like in the future. Heck, it's pretty much what it looks like right now! It's hard to comprehend the scale we'll reach when agents can work independently indefinitely. Read this below.

AI is literally saving lives right now: • UC San Diego's AI sepsis model cut sepsis deaths by 17%. • In a trial of 100,000+ women in Sweden, AI-supported screening found 29% more cancers. • In a randomized trial involving 60,893 hospital encounters, an AI warning system reduced the hazard of in-hospital death by 35.6%. • In a randomized trial of nearly 16,000 patients, AI-powered ECG alerts reduced 90-day mortality from 4.3% to 3.6%. I've never seen technology this useful arrive this fast, and this is just the beginning. These guys are doubling down: You can now have agents working inside hospitals, learning from patients, helping doctors make decisions, and keeping the information secure.

It's interesting to think about how little baggage people who've never coded before bring to this agentic era. If you haven't coded before, you can't waste time doing manual code reviews, so you need to use agents to review what you ship. Your disadvantage becomes sort of an advantage that forces you to automate the process. It takes mountains for people who did the work before to let go of all methods and embrace the new ways.

I have a touchscreen laptop. I don't remember the last time I touched the display. It's fine. It's there, but I don't really use it. It doesn't bother me. An entire generation grew up with touch interfaces. They are the intended user base for a touchscreen Mac. They will certainly use it more than I'll ever do. But what really blows my mind is people being mad because Apple decided to put a touchscreen on a Mac. DUDE. JUST. DON'T. BUY. IT!

This is an interesting idea that replaces scrolling through Pinterest or Instagram when you are looking for inspiration: Let's say you are looking for ways to decorate your home. 1. This will show you AI-generated images with real products: a sofa, a chair, lamps, a TV, etc. 2. The products will be part of a realistic-looking scene so you can see how they work together. 3. You can interact with the different products, and this will shape what the app shows you next 4. You can tap on every product, see its information, and add it to a cart to buy it AI is eating the world.

We've been running a few agents to monitor production systems for a few weeks now. Agents working 24/7, looking at failures, suggesting potential causes, and recommending fixes. We're not only saving a ton of money, but we are also doing things we couldn't before. But to set this up, you need to trust these agents. Here are a few questions you need to answer: • Do your agents understand how your systems work? • Can they see what actually happened? • Do they have access to the code that changed recently? • Can you verify the evidence behind the agent's recommendations? • Do these agents recognize when they need help? You can't automate production monitoring without all of this. Here is what you want to do next:

RT @maithra_raghu: Introducing Samaya Sterling, our new model post-trained for challenging financial research that outperforms the frontier…