‘The Thinking Game’ documentary has just passed 200M views on YouTube in just 4 weeks! 🤯Perfect holiday viewing if you’re interested in a behind-the-scenes look at how an AGI lab works, or what goes into making a Nobel Prize winning project like AlphaFold happen.🧬🚀
Stanford just made a $200,000 AI degree free.
No application.
No tuition.
No “elite access”.
Stanford released its actual AI/ML curriculum on YouTube.
Not a PR-friendly intro.
Not “AI for the public”.
This is the real thing.
The same lectures shaping people working on frontier models.
What just became public:
Deep Learning (CS230)
→ https://t.co/DUtL9MO6Y7
Transformers & LLMs (CME295)
→ https://t.co/gN57biwLsE
Language Models from Scratch (CS336)
→ https://t.co/GnH11pPBdW
ML from Human Feedback (CS329H)
→ https://t.co/X9nxEX6PNg
Computer Vision (CS231N)
→ https://t.co/oBxKKWZP22
LLM Evaluation & Scaling
→ https://t.co/1tDpw9ArTq
The uncomfortable truth:
The degree isn’t the scarce asset anymore.
Execution speed is.
Top schools know this.
That’s why they’re publishing the playbook.
👉 Bookmark this.
Comment the first lecture you’ll actually watch.
Google releases FunctionGemma, a new 270M parameter model that runs on just 0.5 GB RAM.✨
Built for tool-calling, run locally on your phone at 50+ tokens/s, or fine-tune with Unsloth & deploy to your phone.
Docs + Notebook: https://t.co/HCRauX8ODy
GGUF: https://t.co/eU5RqjvaQd
GenAI isn't just a technology; it's an informational pollutant—a pervasive cognitive smog that touches and corrupts every aspect of the Internet. It's not just a productivity tool; it's a kind of digital acid rain, silently eroding the value of all information.
Every image is no longer a glimpse of reality, but a potential vector for synthetic deception. Every article is no longer a unique voice, but a soulless permutation of data, a hollow echo in the digital chamber. This isn't just content creation; it's the flattening of the entire vibrant ecosystem of human expression, transforming a rich tapestry of ideas into a uniform, gray slurry of derivative, algorithmically optimized outputs.
This isn't just innovation; it's the systematic contamination of our data streams, a semantic sludge that clogs the channels of genuine communication and cheapens the value of human thought—leaving us to sift through a digital landfill for a single original idea.
Following its IMO gold-level win, @GoogleDeepMind is sharing Gemini Deep Think with mathematicians for feedback. Excited to see what they discover! 🧠
Plus, an updated Gemini 2.5 Deep Think is now rolling out for Google AI Ultra subscribers.
Learn more: https://t.co/W6vWpFvxIu