Here’s a reframe.
AI doesn’t take your job.
AI allows you to do any job.
So a coder can now make films.
And a filmmaker can now write code.
It allows a non-specialist to get started.
But a specialist will be needed for polish.
Trad VCs tweeting about memecoins => They have to buy things this year
Get ready to see "the most likely outcome is the most hilarious outcome" occur in crypto investments again
[But hopefully, research will be as productive as 2021 was.. and not just be DeSci shitcoinery]
@hosseeb For 12 years you’ve had people and organizations afraid of their own shadow if they even thought about issuing tokens. The message is clear. Fuck it and launch tokens. Shit has gotten so dumb it might finally start looking cool.
Web3 for brands means using intangible assets with no inherent value as tokens to test & learn new business models that can later be attached to their core business. Some brands intangible value is their clout value (e.g., high fashion) in which case web3 is ready for them now.
Stablecoins aren't cheaper; they're better
The mistake is comparing card fees to crypto network fees.
This is Apples-to-oranges (see table).
Stablecoins are now over $200bn.
Here's how they make payments better. 🧵
Going to take @JulioColomerMBA’s “2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI” course on @udemy. ~80 hours of content to take me from zero to professional. I’ll tweet to keep a record of my thoughts and learnings.
Another section 7 thought about the types of data used being a key difference between traditional ai vs. gen ai. Basically, trad ai used structured data (tables), gen ai used unstructured (video, audio, text, etc.) From personal exp. tables help me interpret things while other modes of info allow me to learn things. I wonder if the same is true for LLMs.