NFTs should act solely as token gating mechanisms—perhaps even serving as an identity for an AI agent. The whole NFT wave was more about how beautiful your pass looks rather than what it actually does.
After 10 years of being in crypto and trading, I need to address what's currently happening in our space. This isn't just another market cycle - it's something far more concerning. The Reality Check: Meme coin trading has become a 24/7 sprint where: • You're considered…
1) Fun fact: there are ~280 payment companies today building on cryptorails (!) I've written a piece explaining the current financial system, major use cases for cryptorails, adoption challenges they're facing, and what the future might look like. paragraph.xyz/@archetype/cry…
requiring customers to manually buy T-bills / money market funds to get yield is horrible UX and adds friction — people should be AUTOMATICALLY getting yield on whatever their money touches (via crypto rails), this should be the status quo
"Verticalized agents" is a bit of a meme among startups right now—but rightly so: Over the last year, we indexed too far into AI being a Swiss army knife—jack of all trades and master of none. You simply cannot go wrong building something obsessively focused around a problem.…
The biggest opportunities for AI Agents will be in expanding the market for software by automating work that most companies don’t do that well or never even did in the first place. This will take on a number of forms but there are at least 3 big categories that highlight how…
It’s not in your head—but it’s also not in your genes. After 40 years of research, Dr. Gabor Maté found that childhood trauma is the hidden root of all disease, addiction, and suffering. Here are 10 mind-blowing lessons he teaches about healing trauma and reclaiming your life:…
On one hand, we say that AI inference needs to be validated. On the other hand, we’re willing to hand over control of our computers to AI. Lol. On one hand, we argue for decentralized inference, even though it’s slow. On the other hand, we want to use the same system to control…
First of all, response time is directly proportional to user experience - the lesser the better. A swarm of agents doesn't make sense until LLMs' token generation speed exceeds 1000 tokens/second or more, and communication latencies are in milliseconds. LLM token generation…
Been chatting to a few folks about Swarms vs. Single Agents Specifically: Is it better to use a swarm of agents to complete multiple tasks OR a single agent that you engineer to do it all the tasks itself? Why? Im trying to figure out if we need swarms or if we can just…
Crypto needs AI applications solving real uses for people using decentralization or using crypto as a payment layer. Crypto doesn't need infrastructure to build AI apps. When you solve a real problem with a great number of users, then only you will identify what kind of…
Add code, technical documentation, and you’ll have a fully functional AI tech team.
Any knowledge worker spends 50-80%+ of their time analyzing, synthesizing, and creating unstructured data - think about how much of your time is spent reading things like reports, documentation, PRDs, presentations and creating new variants of those things. I’m personally…
Focus on repetitive tasks. Allow developers to manage AI agents. Make sense of overwhelming data streams.
Y Combinator JUST announced what startups they want to fund next in 2025. And it's mostly AI that replaces $100k/year job functions. My notes below in case it's helpful to you:
Y Combinator JUST announced what startups they want to fund next in 2025. And it's mostly AI that replaces $100k/year job functions. My notes below in case it's helpful to you:
I recently learned in one of the Y Combinator podcasts: 1. Find a field that you have knowledge about and may be passionate about. Passion trumps knowledge. 2. Find a job role that you would like to automate or maybe enhance with AI. 3. Sit with that person for a day or two.…
Y Combinator JUST announced what startups they want to fund next in 2025. And it's mostly AI that replaces $100k/year job functions. My notes below in case it's helpful to you:
As we are learning DeepSeek is one of the most sophisticated psyops of all time. Here's how it went down: 1) Release the model open source. 2) Include highly detailed papers for all other people to replicate your work. 3) Create a novel SOTA RL algo that uses less memory…
The burst of DeepSeek V3 has attracted attention from the whole AI community to large-scale MoE models. Concurrently, we have been building Qwen2.5-Max, a large MoE LLM pretrained on massive data and post-trained with curated SFT and RLHF recipes. It achieves competitive…
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