When my book is sold-out on Amazon (which usually happens after I speak at a conference), you can generally still find copies at https://t.co/x2cdLf7KHw.
Suffering is a perfectly natural part of getting a neural network to work well, but it can be mitigated by being thorough, defensive, paranoid, 𝐚𝐧𝐝 𝐨𝐛𝐬𝐞𝐬𝐬𝐞𝐝 𝐰𝐢𝐭𝐡 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐛𝐚𝐬𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐯𝐞𝐫𝐲 𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞 𝐭𝐡𝐢𝐧𝐠. -Karpathy
Also applies to exams I've graded.
'slop is something that takes more human effort to consume than it took to produce. When my coworker sends me raw Gemini output he’s not expressing his freedom to create, he’s disrespecting the value of my time'. -schwarzgerat.bsky.social
'My own interest in MCPs has waned ever since I started taking coding agents seriously. Almost everything I might achieve with an MCP can be handled by a CLI tool instead.' - Simon Willison
Capital expenditures on AI data centers is likely around 20% of the peak spending on railroads, as a percentage of GDP, and it is still rising quickly.
https://t.co/4mcp69zHL8
Quote from WSJ article "Johnson & Johnson Pivots Its AI Strategy":
And as the company tracked the broad value of AI, including generative AI, data science and intelligent automation, it found that only 10% to 15% of use cases were driving about 80% of the value,
It's just dawned on me that Simon Willison's newsletter is actually sent several times per week, rather than weekly, and now I understand why I'm struggling so hard to keep up with my professional learning emails.
LLM bullshit knife, to cut through bs
RAG -> Provide relevant context
Agentic -> Function calls that work
CoT -> Prompt model to think/plan
FewShot -> Add examples
PromptEng -> Someone w/good written comm skills.
Prompt Optimizer -> For loop to find best examples.