Richard Li (@rdli) 's Twitter Profile
Richard Li

@rdli

Entrepreneur. Advisor. AI and inference. Prev: ceo/founder @ambassadorlabs; product @duosec; corp dev/strategy @rapid7.

ID: 107486386

linkhttps://www.amorphousdata.com/blog/data-is-not-a-strategy calendar_today22-01-2010 18:33:03

1,1K Tweet

662 Followers

192 Following

Richard Li (@rdli) 's Twitter Profile Photo

My friend Bjorn Freeman-Benson introduced me to a critical component of product requirements: setting a price you're willing to pay. This seemingly simple change creates focus, reduces risk, and improves communication. More: thelis.org/blog/set-a-pri…

Richard Li (@rdli) 's Twitter Profile Photo

Join me, Tyler Jewell, and the Akka team next week as I share some key lessons learned in building agentic #AI systems over the past year. content.akka.io/webinar/bluepr…

Akka (@akka_io_) 's Twitter Profile Photo

🚨 We're 1 day away! 🚨 Agentic AI is reshaping software—but scaling it isn’t easy. → TPS skyrockets → LLMs struggle with latency → Costs add up fast How do you build services that can handle agentic scale without breaking the bank? Join Tyler Jewell & Richard Li tomorrow at 10

Akka (@akka_io_) 's Twitter Profile Photo

The era of #agenticAI is here. #AIagents are replacing manual workflows—making decisions, taking action, scaling fast. Learn how to design and implement the next generation of AI-powered services. 🔗 bit.ly/4hJea3v #Java InfoQ Richard Li

The era of #agenticAI is here.

#AIagents are replacing manual workflows—making decisions, taking action, scaling fast.

Learn how to design and implement the next generation of AI-powered services.

🔗 bit.ly/4hJea3v
#Java <a href="/InfoQ/">InfoQ</a> <a href="/rdli/">Richard Li</a>
Casper Hansen (@casper_hansen_) 's Twitter Profile Photo

2.1k stars, 2+ million downloads, and 7000+ models on Huggingface later, and I am officially ready to retire my long-time project AutoAWQ ⚡️ Proud to say that AutoAWQ has been adopted by the vLLM and will now be maintained by 55+ contributors 🥳

2.1k stars, 2+ million downloads, and 7000+ models on Huggingface later, and I am officially ready to retire my long-time project AutoAWQ ⚡️

Proud to say that AutoAWQ has been adopted by the <a href="/vllm_project/">vLLM</a> and will now be maintained by 55+ contributors 🥳
Richard Li (@rdli) 's Twitter Profile Photo

Agentic frameworks are expanding fast—most started with some sort of syntactic sugar around prompts, but they've since expanded into durable execution & memory. I teamed up with Jake Flomenberg + @wing_vc to map the stack 👇 🔗 wing.vc/content/the-ag… #LLMops #AgenticAI

Richard Li (@rdli) 's Twitter Profile Photo

Most apps act fast. Agents don’t. They pause, retry, wait hours or days. That’s why they need durable execution—resilient workflows that persist across failures. Check out our post on the agentic runtime stack: wing.vc/content/the-ag…

Akka (@akka_io_) 's Twitter Profile Photo

Final chance to register for tomorrow's webinar with InfoQ Learn how to design and implement the next generation of AI-powered services with Tyler and Richard Li. See you there! bit.ly/42vzyFa #InfoQ #Java #AI

Final chance to register for tomorrow's webinar with <a href="/InfoQ/">InfoQ</a> 

Learn how to design and implement the next generation of AI-powered services with Tyler and <a href="/rdli/">Richard Li</a>.

See you there! 
bit.ly/42vzyFa

#InfoQ #Java #AI
Richard Li (@rdli) 's Twitter Profile Photo

APIs ≠ skills. Today’s agents do more: write code, generate 3D models, browse the web. We call these actuators—not just tools, but new capabilities. With Jake Flomenberg @wing_vc: 🔗 wing.vc/content/the-ag… #LLM #AgenticAI #AItools

Richard Li (@rdli) 's Twitter Profile Photo

Context Is King 👑. Smarter agents need richer context—not just prompts. They aggregate context from multiple sources: 🧠 Knowledge (vector databases) 💾 Memory (short/long-term) 🌐 Actuators (APIs, sensors) Check out the full Agentic Runtime Stack: wing.vc/content/the-ag…