Elvis S. — Founder at DAIR.AI | Angel Investor | Advisor | Prev: Meta AI, Galactica LLM, Elastic, Ph.D. | Serving 7M+ learners around the world
Founder at DAIR.AI | Angel Investor | Advisor | Prev: Meta AI, Galactica LLM, Elastic, Ph.D. | Serving 7M+ learners around the world
Elvis S. ranks #179 of 14,983 LinkedIn creators in Research, and is a standout voice in Belize. They have 86.4K followers and published 39 posts in the last 30 days at a 0.3% average engagement rate.
- 86.4K followers
- 39 posts / 30d
- 0.3% avg engagement
- — follower growth / 30d
The roast
Elvis democratizes AI research the same way a guy in a trench coat outside a middle school democratizes fireworks. He claims to serve seven million learners, yet with an engagement rate under 0.3%, he is clearly the only student who didn't get the memo that the class was cancelled.
About Elvis
Building DAIR.AI, wherein we are democratizing AI research, education, and technologies. Our mission is to enable the next generation of AI innovators and creators. I am an AI researcher focusing on training LLMs, information retrieval, AI Agents, RAG, and related fields. I provide consulting services and advise some of the top AI companies/startups around LLM-powered applications, AI agents, AI research, go-to-market, insights, product, and growth strategies. I previously worked on the Galactica LLM, Papers with Code, PyTorch, Meta AI, and Elastic. Connect with me on Twitter: https://twitter.com/omarsar0
Highlights
- Big Audience — 86,419 followers · top 1%
- Consistent Creator — 39 posts in 30d · top 5%
- High Impact — 224 avg engagements per post · top 10%
- Top 25% in Research — Ranked #4 of 39 creators
Recent posts
// Self-Harness: Harnesses That Improve Themselves // (bookmark this one) Most of the agent scaffolds we rely on today are built once and remain frozen or mostly unchanged. The harness, like the skills, needs to evolve with new models. What if the scaffold rewrites itself? This new work treats the harness, the prompts, tools, and control flow around the model as a learnable artifact that improves from its own runs rather than staying a fixed wrapper you hand-maintain. The scaffolding becomes the part that compounds, run after run. If you run long-horizon agents, a self-modifying harness
61 reactions · 3 comments · 0 reposts
Excited to launch a new way to upskill with AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.
20 reactions · 1 comments · 0 reposts
New paper on how AI agents are reshaping knowledge work. This is a nice economic read on where agents actually change knowledge work to meet that gap directly. (bookmark it) It studies agent adoption across three dimensions: autonomy, efficiency, and the scope of tasks workers hand off. The friction people keep hitting with agents is rarely model quality. It is that almost nobody has been taught how to work this way.
41 reactions · 3 comments · 0 reposts