Flashcards are now fully customizable. Edit questions, tweak answers, and add brand-new cards to create the ultimate set of study tools.
Share them with your friends, classmates, academic rivals, etc— just be prepared for the endless shower of praise and accolades that follows.
Today we’re launching study notebooks in the @GeminiApp — an interactive space built to turn your natural curiosity into true comprehension. 📓
Whether you’re a student making sense of organic chemistry or preparing for a standardized exam, personalized learning should be accessible to everyone.
That's why study notebooks are free and available globally in every language in the Gemini app.
Here's how to use them ↓
Claude Tag is a Trojan horse. Not because Anthropic is doing anything evil. Because the incentives are obvious.
Day one, this looks like a great feature: tag Claude in Slack, let it follow the thread, remember context, connect to tools, break down tasks, chase work, and act like a teammate.
But that is exactly the problem. The moment your AI vendor becomes a shared coworker, it stops being just a model provider. It starts becoming the place where work is interpreted, remembered, routed, and eventually executed.
That is not model lock-in. That is context lock-in. You are now renting your company back from them.
Models can be swapped. Agents can be copied. But the memory of how your company actually works is much harder, maybe impossible, to move: the Slack scar tissue, the exception paths, the customer promises, the unfinished threads, the weird workflows, the implicit owners, the “we tried that in Q2 and it failed” knowledge.
Once that lives inside one vendor’s agent layer, you are not renting intelligence anymore. You are renting your company’s operating memory.
And the pricing model makes it even more dangerous. A human coworker has a salary. Claude has unbounded tokenized activity. The more work moves through it, the more the vendor captures not just IT spend, but labor spend.
This is the enterprise bargain people will regret: Convenience now, and rapid decent into dependency.
The right architecture is simple: rent the best intelligence from whoever is best this month. OpenAI, Anthropic, Gemini, open source, whatever. But own the context layer.
Your company memory should be inspectable, permissioned, portable, and model-neutral. It should not be buried inside the same vendor that sells you the intelligence and the workflow surface.
Claude Tag is useful. That is why it is dangerous. Rent the intelligence, but own the context. Or, regret later.
I'm often asked about why I admire Elon so much, and the answer is he's the definition of RESILIENCE.
In 2008, he was going through a divorce, his rocket had failed three times, and his car company was out of money and at risk of personal bankruptcy. Despite that, he DID NOT give up.
Great article by @pkedrosky in the NYT on AI vs jobs in different countries. TL;DR: the U.S needs to decouple health insurance from employment for things to change.
https://t.co/hZ25ahLuO9
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads.
Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
Joint Statement by the State of Qatar and the Islamic Republic of Pakistan Regarding the Conclusion of Lake Lucerne Summit, First High-Level Committee Meeting with Participation of the United States of America and the Islamic Republic of Iran.
GLM-5.1 scored 62 on Terminal-Bench. GLM-5.2 scores 81. That huge jump took mere weeks. The open frontier is sprinting toward the close source leaders.
https://t.co/CxcQHfc8iC
Exclusive: Amid concerns about AI models’ cybersecurity capabilities, OpenAI has revealed an improved version of GPT-5.5-Cyber and its “Patch the Planet” initiative to fix open-source software bugs.
https://t.co/d5SNrfUb6C
Apple has big plans in store for the rest of 2026, 2027 and 2028, including several new iPhones, Macs, iPads, AI wearables, home devices and more. Here’s a list of some of what to expect in the latest Power On - https://t.co/41IX3YKHyT
Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.
Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.
Try it: https://t.co/hhO6qTawgb 🐡
If you need a website, this is the best website creator on the planet: Ploy by Bryant Chou
Drop everything and use this to improve your website now. A total redesign to your taste is at your fingertips. Try it with a side project and you'll bring it to your main project in 2 weeks or less, I predict.
Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: https://t.co/Lh6PWae178
The biggest #FIFAWorldCup ever, with 48 teams and 104 matches, is expected to bring a record $13bn for FIFA.
Al Jazeera's @AJLabs counts the cost of going big - for fans, players and the planet.