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Today:

• OpenClaw: Build an Autonomous AI Army in 30 Seconds

• Zhipu AI Unleashes GLM-5: A New Rival for Claude

• Musk Overhauls xAI in Push for Speed

• ByteDance Talks Chips with Samsung

• Mistral Drops $1.2B on Swedish Data Center

• OpenAI Quietly Disbands Mission Alignment Team

INSTALL OPENCLAW in 30 seconds and START BUILDING... | Local Install and VPS FULL Tutorial

OpenClaw turns a computer into a self-running AI helper. Installation is simple: copy one command, paste it into the command line, press Enter, and an automatic setup handles the rest. The software runs best on Linux—an open, free operating system—whether on an old laptop, a low-cost mini-PC, or a rented server that is always on. 

After setup it asks for chat links and access keys and can then manage tasks or even build a business when many copies work together. Because the program can reach files and the internet, users should create limited accounts, sandbox processes, and learn protective steps.

WATCH THE VIDEO ON YOUTUBE

Zhipu AI drops GLM-5 — and it’s clearly “built for agents,” not just chat

If you’ve been watching open models inch closer to “I can actually ship with this,” GLM-5 is a loud step forward. Zhipu is pitching it as a flagship foundation model meant for long-horizon agent tasks and real software work (not just chat). The dev docs put the context length at 200K, and the project leans hard into tool use, planning, and long-range execution.

The open-weights angle is the headline for me. The model card on Hugging Face shows it under the MIT license, and it describes a big scaling jump vs GLM-4.5 (744B total / ~40B active, plus more pretraining tokens), along with a sparse-attention approach meant to keep long context cheaper to run.

Zooming out: this is also part of the broader “China’s frontier models, but constrained hardware” story. GLM-5 was developed using domestically manufactured chips for inference (including Huawei’s Ascend) as firms adapt to tighter export controls.

xAI reshuffles hard — speed, departures, and IPO energy

Elon Musk reorganized the company “a few days ago” to improve execution speed and that it “unfortunately required” parting ways with some people. It also comes after multiple co-founder departures, which isn’t nothing when you’re trying to look stable ahead of the next big leap.

The reorg also follows the recent merger with SpaceX, and the company is now split into four application areas, with explicit ambition to compete across LLMs, image/video generation, and coding tools.

The vibe I got: this isn’t just “make a better chatbot.” It’s “build the whole factory.”

ByteDance is reportedly going custom chip — and Samsung Electronics is in the mix

ByteDance is developing an AI inference chip and talking with Samsung about manufacturing. The reported target is sample chips by end-March, at least 100,000 units this year, and potentially scaling up to 350,000 over time.

Two extra details made me pause:

• The negotiations reportedly include access to scarce memory chip supply (which is quietly becoming a choke point).

• Reportedly, total AI-related procurement could exceed 160B yuan (~$22B) this year, with more than half earmarked for buying Nvidia chips (including H200) and pushing the in-house chip forward.

Also worth noting: the company disputed the report’s accuracy in a statement, while Samsung declined to comment.

🧠RESEARCH

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

Researchers created OPUS, a system that intelligently selects the most useful data for an AI to learn from while it is being trained. Instead of using fixed rules, it watches how the AI improves to pick the best information. This method makes building powerful models faster and more efficient with minimal extra cost.

Code2World: A GUI World Model via Renderable Code Generation

Code2World teaches AI to predict what happens next on a screen by generating computer code (HTML) rather than just guessing image pixels. By training on thousands of smartphone examples, this system helps digital assistants understand apps better, allowing them to navigate menus and buttons much more successfully than previous attempts.

UI-Venus-1.5 Technical Report

Ant Group developed UI-Venus-1.5, a powerful AI designed to control smartphones and computers just like a human user. It excels at recognizing icons and navigating complex apps, especially popular Chinese ones. By combining multiple advanced learning techniques, it outperforms other systems in completing real-world tasks like shopping or changing settings.

🛠️TOP TOOLS

Each listing includes a hands-on tutorial so you can get started right away, whether you’re a beginner or a pro.

Co Producer Output – AI Built For Music Maker - AI‑powered plugin that “listens” to your DAW project, analyzes harmony and rhythm, and recommends compatible, musician‑made, royalty‑free samples you can drag straight into your session.

Cockatoo – Fast AI Transcription & Document Translation - AI transcription and translation platform that converts audio/video files to editable text in seconds, supports 90+ languages, and exports to popular formats.

Code Converter AI – AI Coding Assistant - web-based tool that translates code between programming languages and can also generate code from natural‑language prompts.

📲SOCIAL MEDIA

🗞️MORE NEWS

Mistral Invests in Sweden Mistral is building a $1.2 billion data center in Sweden to run its AI on cheap, green energy. This massive project aims to make Europe less dependent on American technology. It is a major step for the French company as it tries to compete with U.S. giants.

OpenAI Shake-up OpenAI has disbanded a key team responsible for ensuring its technology aligns with human values. The team's leader will move to a new "futurist" role while other members are reassigned. This shake-up suggests the company is continuing to shift its focus toward product speed rather than safety.

Blackstone Bets Big on Anthropic Blackstone is increasing its investment in Anthropic, valuing the AI startup at a massive $350 billion. The firm is adding $200 million to its stake, bringing its total ownership to roughly $1 billion. This deal confirms that investors still see huge potential in backing competitors to OpenAI.

Anthropic's "Sabotage" Report Anthropic tested whether its latest AI model could successfully "escape" and survive on its own in the real world. The report concludes the AI would likely fail to make enough money to pay for its own server costs. This test helps engineers understand the risks of an AI trying to manipulate human systems.

The Danger of Ads in ChatGPT A former OpenAI researcher warns that putting ads in ChatGPT breaks the trust between the user and the AI. She argues that this move forces the company to prioritize advertisers over the people asking the chatbot for help. It risks turning the tool into a data-mining machine similar to social media platforms.

Meta's Massive Data Center Meta is breaking ground on a $10 billion data center in Indiana designed specifically for AI. The facility will be one of the largest of its kind and will run entirely on renewable energy. This project highlights the immense physical infrastructure needed to support the next generation of artificial intelligence.

Google's "Deep Think" AI Google has unveiled a new AI system that "thinks" through complex math and science problems step-by-step. This tool can verify its own answers and is already helping researchers solve PhD-level challenges. It is designed to act as a reliable partner for scientists rather than just a chatbot.