Anthropic is working on "Knowledge Bases" for Claude Cowork.

KBs seem to be a new concept of topic-specific memories, which Claude will automatically manage. And a bunch of other new things.

Internal Instruction:

"These are persistent knowledge repositories. Proactively check them for relevant context when answering questions. When you learn new information about a KB's topic (preferences, decisions, facts, lessons learned), add it to the appropriate KB incrementally."

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📣 Google says Gemini will stay ad free

🔸 A day after OpenAI confirmed ads are coming to ChatGPT, Google’s ads chief Dan Taylor told Business Insider there are no plans to place ads inside the Gemini app.

🔸 Google draws a line between products. Search is for discovering information and commercial offers. Gemini is positioned as a task assistant for writing, analysis, and execution. Ads are being tested in AI search features, but not in Gemini itself.

🔸 The difference is timing and leverage. Google already runs the largest ad system in the world and can afford to wait. OpenAI is under pressure to monetize now. With Gemini at about 650M monthly active users, Google can watch competitors experiment and learn from the outcome.

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📣 xAI open sourced X’s recommendation system code

🔸 The repo includes the ranking architecture used by X. Training code and model weights are not included, so it cannot be run end to end.

🔸 Musk says the repository will be updated about once per month. The ranking model design mirrors Grok’s architecture, but Grok itself is not used as the ranker.

This exposes how X structures feed ranking, while keeping the data and training loop private.

📊 @tech

Hubble captured the fastest stellar jets ever observed

🔸 The image shows Herbig–Haro objects HH 80 and HH 81. These are shock heated gas clouds created by a young star blasting ionized material into space.

🔸 The source is IRAS 18162-2048. Its jets travel at over 1,000 km/s, the fastest stellar outflows confirmed in both radio and optical data.

🔸 As the jets collide with slower gas ejected earlier, shock waves heat the clouds and make them glow. The system sits about 5,500 light years away in Sagittarius.

High resolution image is available here

📊 @tech

Amodei says software development could be automated within 12 months

🔸 Dario Amodei claims that in 6 to 12 months, AI agents will be able to handle software engineering end to end. Not just writing code, but planning, executing, and shipping systems on their own.

🔸 His core point goes further. Once agents can build software autonomously, they can also build the next generation of agents. That creates a self-reinforcing loop of development speed.

🔸 Amodei admits there are constraints around compute and training time. Even so, he expects an order-of-magnitude acceleration in progress within a few years.

📊 @tech

🔎 ChatGPT starts predicting user age

OpenAI is rolling out an age prediction system worldwide. If an account is flagged as underage, stricter limits on sensitive content are applied automatically. No manual input required.

The move ties to a bigger shift:
🔸 OpenAI is preparing an adult mode for ChatGPT
🔸 App head Fidji Simo said the feature is expected in Q1 2026
🔸 Sam Altman has hinted at 18+ content for verified users

If the system mislabels an adult as a minor, access can be restored through Persona by submitting a selfie for identity verification. The feature reaches the EU in the coming weeks.

With about 800M weekly active users, OpenAI is quietly rebuilding ChatGPT into a regulated media platform, not just a chatbot.

📊 @tech

📱 Siri is turning into a real chatbot

Apple is preparing a full reboot of Siri, according to Bloomberg. Internally called Campos, the project replaces the current assistant interface with a built-in AI chatbot across iPhone and Mac.

🔸 Under the hood, Apple is using a custom model based on Google Gemini. The deal reportedly costs Apple about $1B per year, with discussions around running the system on Google’s TPU-based servers. That is a notable shift for a company long focused on on-device privacy.

🔸 The new Siri is designed to search the web, generate images, analyze files, and work directly with personal data across apps. Think voice-driven actions that move from search to edit to send without switching tools.

🔸 Apple is expected to announce the overhaul at WWDC in June, with a release tied to iOS 27 in September. Siri is finally being rebuilt for the chatbot era.

📊 @tech

📍 Apple is working on its own AI pin

Apple is developing a wearable AI device roughly the size of an AirTag, according to The Information. The design is thin, flat, and round, using aluminum and glass. Internally, it is treated as a new product category, not an accessory.

What’s inside:
🔸 2 cameras, including a wide-angle
🔸 3 microphones and a speaker
🔸 A physical side button
🔸 Wireless charging
🔸 Always-on context capture for AI processing

The device is meant to perceive the user’s surroundings and interact through AI, rather than act as a screen-based interface. The project is still early, with a potential launch no earlier than 2027.

The comparison is unavoidable. Humane tried a similar concept and shut it down after weak adoption. At the same time, OpenAI is working on its own device with Jony Ive.

📊 @tech

🤖 OpenAI quietly rebuilt a robotics team

OpenAI launched a robotics lab in 2025 that now has about 100 employees, according to Business Insider. The work stayed mostly out of public view while attention focused on models and products.

This is not their first attempt. OpenAI built robotic hands that solved a Rubik’s Cube years ago, then shut that effort down in 2020. Since then, the company backed robotics startups like Figure, 1X, and Physical Intelligence instead of building hardware itself.

What changed:
🖱 A dedicated robotics lab started in early 2025
🖱 The team focuses on data collection, not humanoids
🖱 Robotic arms run tasks like making toast or folding laundry
🖱 Systems operate nearly around the clock to generate training data

There is no confirmed humanoid robot project yet. For now, OpenAI appears to be learning how to train robots reliably, whether to build machines later or to supply the brains for others.

📊 @tech