Author: Yohei
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🔍 What is A2A?
I was running an experiment on summarizing X posts around a certain topic and found this on on Agent-to-Agent pretty solid, so I am publishing this as a blog post since people ask me about the topic often. This is based on 100 recent tweets about the topic A2A (run on April 15th). A2A is […]
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🔍 Key Trends & Insights on MCP Clients
I was running an experiment on summarizing X posts around a certain topic and found this on on MCP pretty solid, so I am publishing this as a blog post since people ask me about the topic often. This is based on 100 recent tweets about the topic MCP client (run on April 15th). âś… […]
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Building a personalized VC Copilot
This blog post is based on a talk I did recently at DDVC Conference. This was originally generated by AI based on the talk transcript, which I edited. At Untapped, we’re constantly experimenting with AI to supercharge how we operate — from sourcing deals to supporting portfolio companies. Over the past year, I’ve tested dozens […]
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Pippin, an AI powered unicorn
Pippin is a whimsical AI-driven unicorn designed to interact with the digital world through a continuous cycle of dynamic activities, memory updates, and state changes. Operating 24/7, Pippin embodies a playful experiment in AI influencer development, inspired by community engagement and open-source collaboration. The beginning Pippin started when I was playing with AI-generated SVGs and […]
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Where AI meets web3Â đź”—
For the last couple of months, we keep getting exposed to interesting ideas and startups in the intersection of AI and web3, and some of the ideas make a lot of sense to us. First idea, a decentralized data marketplace. Companies are increasingly requesting AI models trained only on licensed data – a driving force […]
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Knowledge Graph 🤝 LLMs
At Untapped, we pride ourselves on being early in identifying upcoming technology trends, and thought we’d share what we’ve learned recently about the intersection of knowledge graphs and LLMs. For those not familiar, knowledge graphs (Wikipedia) are a type of data representation in the forms of nodes (objects) and edges (relationships). This data structure allows for […]
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The Future of Autonomous Agents
I recently did a talk in SF on the future of autonomous agents – then published the deck on X/Twitter here. We’ll be doing an hour long livestream with Q&A on May 16th at 9am on X/Twitter, so mark your calendars (or add your email here for reminders and recording link)! [update: We did the livestream, watch it here.] […]
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Musings on Semi-Local Inference
I recently threw out a random thought on Twitter, wondering if there might be room for something I called semi-local inference. This wouldn’t be on-device processing, but something like using a WiFi router to run powerful language models (LLMs). I was curious about the potential benefits—speed, cost, and privacy—over using APIs to power and control […]
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Impact of BabyAGI
BabyAGI has been cited in 42 arxiv papers (full list). The following article summarizes these 42 articles. Yohei Nakajima’s project, BabyAGI, appears to have catalyzed a wide range of innovations and research advancements across several domains of artificial intelligence, particularly in the development and application of large language models (LLMs) and agent systems. The impact […]
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Recent AI Trends and Select Startups đź§
First up is AI chips, since Groq made waves this past month with their LLM optimized chips with much faster inference than anything we’ve seen before. Etched is another player in this domain, but we haven’t seen a public demo yet. AI chips aren’t necessary new (eg. Graphcore, Ceerebras), and a question is, will specialized chips maintain value as model architecture evolves? […]