Alignment keeps getting built as a lock. Hinton is describing a preference you have to train in instead, which is an eval problem and not a permissions problem.
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Sus honras fúnebres se realizan en la sala de velación de Los Olivos y la eucaristía de exequias se realizará este viernes (4 de septiembre), a las 2:00 p. m., en la Basílica Menor San Antonio de Padua (Manzanares).
https://t.co/9nS1HtJBHF
Everyone wants to “learn AI”
But they keep consuming surface-level content.
If you actually want to build, start here:
9 serious AI Engineering books with full GitHub repos
1. AI Engineering
https://t.co/AKbcf63hiQ
2. Prompt Engineering for Generative AI
https://t.co/X1jPa11lsD
3. LLM Engineer’s Handbook
https://t.co/uV64zVZeHZ
4. Designing Machine Learning Systems
https://t.co/hP5F4Mzx2y
5. Build a Large Language Model (From Scratch)
https://t.co/VrEO20ztYw
6. Building LLMs for Production
https://t.co/WZKC6XCNbm
7. Hands-On Large Language Models
https://t.co/9eCEUHClr1
8. Prompt Engineering for LLMs
https://t.co/ePqjbU2xBV
9. The AI Engineering Bible
https://t.co/2eyuUh0SgO
These aren’t “read once and forget” books.
They’re the kind you: • build alongside
• revisit often
• actually level up from
Save it.
Come back when you’re ready to build.
"Introduction to Machine Learning Systems"
- FREE from MIT Press
- Authored by Harvard Professor
- 2048 Pages
To Get It Simply:
1. Retweet & Reply "ML"
2. Follow so that I will DM you.
This tutorial(on YouTube) shows how to build the ultimate AI content system that generates infinite viral TikToks with consistent characters in any style using VEO3, nanobanana, and n8n.
Complete automation from character creation to multi-platform publishing - all with just a few clicks.
Turn PDF files into clean, LLM-ready data!
Dolphin is an open source document parsing framework that converts PDFs into structured formats like Markdown, HTML, LaTeX, and JSON.
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