Alex Lieberman

Jamming with an LLM via voice mode is one of my favorite activities while on-the-go. What an insane gift it is to meander through professional/personal rabbit holes with a 24/7/365 sparring partner that has encyclopedic knowledge. Have used it to: - Critique a mental model of how to think about AI ROI in enterprise - Explore research on psychopathy and how much is nature vs. nurture - Brainstorm improvements to my startup IG show to maximize watch time - Beat up my POV on the best way to compensate internet creators - Understand the nitty gritty of 529 plans and strategies behind superfunding them Quickly realizing this post-AI era is a gift for everyone, but especially verbal processors.

Vibecoding at most companies is the wild west. Here are 6-steps for letting employees vibecode useful apps, responsibly 👇

We’re hiring like crazy at Tenex. Launched 15 months ago and on track to end the year at Series C size. Few key roles: 1) DevRel: If you work in DevRel and want to join a hypergrowth applied AI company transforming fortune 500s & incubating ai products, shoot me a DM. 2) Long form writer: you’d own our newsletter, longform site content, applied AI playbooks, research reports, etc. shoot me a DM if you think you’re a good fit.

There have historically been two career paths for engineers: ic & manager. I'm offering a third path: creator. The job is... - 1/3 ai engineer - 1/3 ai creator - 1/3 ai educator Hot take: being a creator is one of the highest status jobs in a sea of abundance, where earning & nurturing trusted distribution has never been more important. But many of the best creators don't just want to create content. They want to practice what they preach, while using the learnings from their craft as the foundation for the content they create. Which is why we've created & hiring for the Applied AI, Engineer & Creator at Tenex. You'll solve complex problems with AI for some of the biggest companies in the world, while leveraging those learnings to create content online & lead AI workshops for F2000 enterprises. Must-haves for the role: - Cracked 10x engineer - Strong communication skills Nice-to-haves: - A student of X - Experience creating content online - A small, but mighty following online And yes, I'm looking for a unicorn. Apply here: https://lnkd.in/gRvr86Vc Tag anyone below you think could be a good fit.

My co-founder Arman Hezarkhani broke down Kimi K3 (new 2.8T parameter Chinese model) on Fox Business Network today with Charles Payne. 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.