
JJ Englert
18K posts

JJ Englert
@JJEnglert
I help non-technical people do more with AI. Enablement Lead at @Tenex_labs (Best AI Consulting Firm) 😎 Join our community for top 1% AI builders 👇🏼



The content machine at @tenex_labs is cooking, and @businessbarista is at the center of it. He did the impossible: figure out how to use AI to draft social posts that don't suck. In this ep, he shows how to: - scan your company data for daily content ideas - use an AI interview panel to get his thoughts - train the model on sounding like him - run a critical editorial council and editing loop - turn his feedback into skills so the system gets better But my favorite part of his flow is decidedly human: the reply-guys slack channel where the whole team hypes up eachother's social posts. Brough to you by our awesome sponsors: 🔥 @firecrawl - Power AI agents with clean web data 🤝 @CustomerIO - Build customer engagement campaigns from a single prompt Full ep on YT: youtube.com/watch?v=1_jluk…












My co-founder @ArmanHezarkhani broke down Kimi K3 (new 2.8T parameter Chinese model) on @FoxBusiness today with @cvpane. We had our engineers testing it all day before he went on air. Here's the gist: 1) K3 is very good. As good, if not better, than many of the American frontier models. 2) The cost story is being misread. Everyone expects a Chinese model to be the cheap one. Per token, K3 is competitive. Per run (the actual job you outsource to the model), it's as expensive as the frontier models. But it's supposedly open source, so developers will attack the cost curve. Give it weeks, not quarters. 3) The playbook should look familiar. It's the same one China ran on solar panels & EVs: flood the market with cheap supply, wait for the addiction, then move the price. 4) The internet & the space race were funded by the US government, and innovators competed on top of the platform. AI got funded by private markets, and now the same companies that spent those trillions are getting hamstrung right as China gives its models away. 5) On guardrails: the bad guys will have completely unconstrained tools no matter what we do. Foreign adversaries, and bad actors here at home. If the good guys don't have equally powerful tools, only one side is armed. 6) Commoditized models are actually good news for the hyperscalers. All that open source intelligence has to run somewhere, and Google & AWS will get paid a lot of money to run it. 7) The labs saw this coming too. It's why Anthropic & OpenAI are racing up the application layer instead of just selling tokens.













