GOOGLE CEO SAID THAT THEY DON'T KNOW HOW AI IS TEACHING ITSELF SKILLS IT IS NOT EXPECTED TO HAVE.

Grok Build CLI is now available to SuperGrok and X Premium+ users! It is cool that you can also use it to search through X and use it as a read-only X client.

> curl -fsSL http://x.ai/cli/install.sh | bash

One more agent for your team 👀

China’s new gaming GPU, the Lisuan LX 7G100, officially launched and sold out on the first day with around 30,000 pre-orders.

The graphics card comes with:

>12 GB GDDR6 memory
>6 nm manufacturing process
>DirectX 12 support
>Microsoft WHQL-certified drivers for modern Windows games

In gaming tests, the LX 7G100 performs below NVIDIA’s RTX 4060, usually by 20% to 70% depending on the game.
Priced at about $480, many consider it expensive for its performance.

Although it does not yet compete with NVIDIA or AMD at the high end, the LX 7G100 marks an important step for China’s domestic graphics card industry.

one underrated obsidian use case nobody talks about: it's a memory layer for the tools you find but never use... let me explain

every day on X, you see a new agent framework, a CLI, an MCP, an API that could be useful one day

most people bookmark it and forget... or worse, immediately load it into their setup

here's the problem with loading everything into Claude Code or Codex:

the more skills, MCPs and context you stack, the worse they get

these tools perform best when they're lean, vanilla experience is the best

so you can build a simple skill inside Hermes that does one thing:
> send it a tweet or it scans your bookmarks
> it generates a "how to use this" note inside obsidian with setup docs, links, use cases

now when you start a new project, your system searches the knowledge base FIRST and pulls only the tools that fit the task

the result: a clean agent loaded with exactly what it needs, and a growing library of tools waiting in the wings

pro tip: do a 2-week cleanup on your active MCPs and skills... context hygiene is mandatory
#insight

SITUATION DETECTED: Google DeepMind’s AI agent autonomously solved 9 of 353 open Erdos problems in mathematics, at a cost of a few hundred dollars per problem.

🚨Claude is telling users to go to sleep mid-session, and nobody, including Anthropic, seems to fully understand why it keeps doing it.

🚨 Google DeepMind CEO Sir Demis Hassabis:

“Today’s systems, are nowhere near [AGI]. Doesn’t matter how many Erdős problems you solve… I think it’s far, far from what a true invention or someone like a Ramanujan would have been able to do”

it’s over for the Erdős hype

The Core: Hugging Face just released a 3D-printable humanoid robot for $2,500 open-source, repairable, and built for AI research.

The details:
• Fully open-source — 3D-printed parts, standard motors, no proprietary hardware.
• Complete package — hardware files, simulation, and locomotion training all included.
• Legs only for now — arms and full-body control coming soon.
• Follows their $3,000 HOPEJr launch and acquisition of Pollen Robotics.