Streaming live from the floor 🎙️ @darrenrogan of @SuperteamAU is in the FirstLight Media pod at Solana Summit Singapore right now. Tune in 👇

"Most people aren't looking to save time, they're looking for ways to spend their time." 9 of 15 consumer internet categories have zero AI products in the Top 100. These built some of the biggest companies of the last two eras: - Streaming - Social - Dating - Gaming - Travel - Retail - Finance - Real estate - Jobs More charts in our Top 100 Consumer AI Apps breakdown: a16z.news/p/top-100-consumer…

"Anyone can do nearly anything; but most people aren’t, yet." Who uses AI power tools every week: - OpenAI's own team: 93% - The top 10% of companies: 19% - A typical company: 3% @DavidGeorge83 on why most people haven't been awakened as AI customers yet: a16z.news/p/openai-understan…

Love that AI has turned a lot of high agency folks with ideas into R & D engineers - > Can I do this with AI? Where is it going wrong? Do I need a better prompt/skill/harness/eval/framework/ruleset/agent brief or completely different approach? How do I fail fast & optimise outcomes? How do I make it once and use it everywhere?

I've decided I agree that AI should be stopped. Its far too easy for me to turn a simple task like writing a resume into a full blown automated customisable intelligence product that results in many days of work and no job applications 😅 (sarcasm folks 😉)

Building with AI and Agents these days feels like building on mobile before react came out. Or containers before K8s... We’ve proved the primitive works. Now we're solving everything required to run it reliably at scale. The problems I've been solving locally - agent coordination (to accelerate build times), model routing (to save $$ and use the right tool), skills (for repeatable work), harnesses (for full flows), delegation, state & context are becoming shared primitives and conventions. In less than 6 months. We're building the AI ecosystem of tomorrow. Love to hear your favourite tools (not just the hyped ones) - bonus points if they're open source!

Progress over perfection! Remember the Pareto Principle - roughly 80% of results come from 20% of inputs 😉 Gm to everyone that's shipping today! 🚀

One week to go..

1/ Everyone asks the wrong question about LLMs in data pipelines, which is almost never "should I use LLMs?" The question is: which stages get determinism guarantees, and which don't?

Just gonna leave this here...

This is one of the reasons Im bullish that AIs impact will be net good. We're going to see so much more of this type of breakthrough in the next few years with real benefit for human lives playing out. Proud to be supporting some of this work @AdnaNetwork with the passionate @ScienceStanley

Keen

Nice

Andrej Karpathy just gave one of the clearest explanations I’ve heard for how people should be thinking about their Hermes agents. Not one agent. All of them. “Remove yourself as the bottleneck.” That line is much bigger than better prompting. Karpathy is talking about arranging your agents so they can operate with less human intervention, keep work moving longer, and accomplish far more from the relatively small amount of direction you give them. That should be the direction you’re pushing every Hermes agent you build. Your research agent shouldn’t need you to tell it what to search next every five minutes. Your monitoring agent shouldn’t depend on you remembering to check something. Your content agent shouldn’t stop after step one when the rest of the workflow is already known. Your development agent shouldn’t need you sitting there approving every tiny action. That doesn’t mean blindly making everything autonomous. It means deliberately looking at every place where you are still unnecessarily sitting in the loop. Give the agent a clear objective. Give it the tools it needs. Give it the right Skills, memory, files and project context. Define the boundaries. Define what success looks like. Give it a reason to start working, whether that’s a schedule, an event, a recurring task or another agent handing work off to it. Most importantly, define what it can handle itself and what actually requires you. That’s the shift. You’re no longer just building something you can chat with. You’re building an operating workflow that can continue doing useful work after you walk away. Karpathy later puts the goal even more directly: get “more agents running for longer periods of time without your involvement.” That might be one of the best north stars you can use for a serious Hermes setup. Because the number of agents you have means almost nothing by itself. You can have 20 Hermes agents and still personally drive every single action. Or you can have five well-designed agents researching, monitoring, organizing, building and reporting while your attention is somewhere else. So instead of asking: How many Hermes agents can I build? Start asking this about every agent you already have: What am I still doing that this agent could be doing without me? That’s where the leverage starts.

Awesome. I can never keep track of all my agents!

Hey frens.. who's heading to Token2049 in Singapore this year? It’s been awhile since I’ve headed to a conference - so I’m looking forward to catching up with the community and innovation state. Also looking for my next career move - so if youre hiring in product, agentic engineeing or devrel roles - hmu! Wooo - its event time! 🎉