🚀 Exploring the limitless possibilities of Generative AI. ✨ Inspiring innovation, creativity, and tech transformation. 🤖 #AIEnthusiast #TechFuturist
Joined January 2024
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Hash Brown Sir retweeted
OPENAI<>NVIDIA: It is clearly a good idea for OpenAI to start an ASIC program, spend hundreds of millions on R&D, present at Hot Chips, deploy some stuff, scare NVIDIA, and get some more money and backstops from NVIDIA on the order of billions of dollars.
If Jalapeno does well at scale, OpenAI will increase its revenue per MW. If Jalapeno doesn't do well, they will still get a lot of financing and backstops from NVIDIA, as Jalapeno is scaring NVIDIA.
@sama wins even if their chip loses.
Hash Brown Sir retweeted
i hooked my whoop to my work calendar to find which coworker gives me the most stress 🚨
thanks to fable, I reverse engineered whoop to pull per minute heart rate. nd matched spikes with cal events and attendees
I now have a leaderboard and I think about it daily.
few info masked for obvious reasons ;)
Hash Brown Sir retweeted
Hours of video, now searchable by your agent.
We just released a new set of agent skills and modular architecture for the Metropolis Blueprint for Video Search and Summarization, eliminating the need for manual configuration of multiple microservices.
Load the skills into a compatible coding agent and it deploys the stack, turning hours of footage into searchable, actionable intelligence through a chat interface. Ask in plain language and get back clips, summaries, and answers.
Hash Brown Sir retweeted
The Jensen Huang episode.
0:00:00 – Is Nvidia’s biggest moat its grip on scarce supply chains?
0:16:25 – Will TPUs break Nvidia’s hold on AI compute?
0:41:06 – Why doesn’t Nvidia become a hyperscaler?
0:57:36 – Should we be selling AI chips to China?
1:35:06 – Why doesn’t Nvidia make multiple different chip architectures?
Look up Dwarkesh Podcast on YouTube, Apple Podcasts, Spotify, etc. Enjoy!
Hash Brown Sir retweeted
My first blog post ever! Be harsh, but, you know, constructive.
Too much efficiency makes everything worse: overfitting and the strong version of Goodhart's law
sohl-dickstein.github.io/202…
🧵
Hash Brown Sir retweeted
your harness = your memory
if you'd rather read in blog form, link here: blog.langchain.com/your-harn…
Damn - absolutely beautiful
Built a thing I’ve wanted forever… a way to let my kids access YouTube content I like without getting exposed to the algo and becoming zombies 😵
My @openclaw friends are the dev team this is barefoot housewife has always dreamed of 🙏😂❤️
YouTube stream curated by us, no slop
Agentic search typically outclasses RAG search with tool calling optimised models
Hash Brown Sir retweeted
👋 Early versions of Claude Code used RAG + a local vector db, but we found pretty quickly that agentic search generally works better. It is also simpler and doesn’t have the same issues around security, privacy, staleness, and reliability.
Hash Brown Sir retweeted
The @karpathy interview
0:00:00 – AGI is still a decade away
0:30:33 – LLM cognitive deficits
0:40:53 – RL is terrible
0:50:26 – How do humans learn?
1:07:13 – AGI will blend into 2% GDP growth
1:18:24 – ASI
1:33:38 – Evolution of intelligence & culture
1:43:43 - Why self driving took so long
1:57:08 - Future of education
Look up Dwarkesh Podcast on YouTube, Apple Podcasts, Spotify, etc. Enjoy!
Hash Brown Sir retweeted
🔍 Semantic Search for LangGraph's long-term memory
Your agents can now find relevant memories in your LangGraph memory based on meaning, not just exact matches. Today we're releasing:
📚 Semantic search built into BaseStore: langchain-ai.github.io/langg…
🔄 Easy integration with existing memory agents
🚀 Available in LangGraph Cloud, Studio & open source
🎥 Video guide to get started: youtu.be/HfJ4h380J_U
Upgrade your agents with similarity search in minutes.
Blog: blog.langchain.dev/semantic-…
And docs: langchain-ai.github.io/langg…
