Jeffrey Morgan
Everything Jeffrey personally uses, recommends, or has created — plus things they don't recommend — sourced from their own show and appearances on other podcasts.
Top picks
Ranked by repeated personal use, excluding sponsorships.
Personal use in 1 episode
"We were one of the first people, along with Elon and a few others, to receive the DGX Spark as well, which sits on your desk and provides 128 GB of unified memory to run that kind of 20 to 120B model range. You can absolutely stack them on your desk almost like a miniature data center rack."
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Clear filtersMentioned in 1 episode
"You'd take an off-the-shelf model like DeepSeek or Kimi and you'd fine-tune it for your use case — like for example Cursor had famously done."
Mentioned in 1 episode
"In April, we saw this incredible growth from OpenClaw really, which was then not just developers, but the rest of the world could take a hard problem, give it to an open model, and let it go complete the task."
Mentioned in 1 episode
"There's an incredibly mature tech stack through the MLX project with Apple where they've done some amazing work to run LLMs on the Mac Studio, but also the smaller Macs."
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"We have the incredible models — the original Llama models of course, but also the Gemma models from DeepMind. These are great choices for local."
Mentioned in 1 episode
"We have the incredible models — the original Llama models of course, but also the Gemma models from DeepMind. These are great choices for local."
Mentioned in 1 episode
"We all remember the GitHub Copilot experience of having the autocomplete come up in a few milliseconds, at 100 milliseconds. That experience will make its way back to the desk."
Mentioned in 1 episode
"There are literally specialized security researcher models that you can find on Hugging Face that allow you to do it."
Mentioned in 1 episode
"Open Router obviously is a good example of that from a wide model selection, so a developer doesn't have to sign up for a hundred different providers — they can just go to one, they can pay in one place."
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"The Codex harness is open source. Open Code is a great one and one of the most popular harnesses from Ollama users."
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"For example, databases — we saw some of this too, where a database that started for devs like MongoDB very quickly also moved to enterprise."
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"We saw OpenClaw take off and subsequently the Hermes project, the Hermes agent project, take off, which has then opened up that ability to automate a huge chunk of work over a long span of time to non-developers too."
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"We partnered with Benchmark in 2022. A lot of it was weighted on the people and also why we exist."
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"We saw the announcement and the release of the GLM 5.3 model and its capabilities from a cybersecurity standpoint — extremely impressive. It creates a big opportunity for whether it's startups or existing businesses in the security and governance space."
Mentioned in 1 episode
"There's an incredibly mature tech stack through the MLX project with Apple where they've done some amazing work to run LLMs on the Mac Studio, but also the smaller Macs."
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"With the launch of the Neotron Ultra model, we're seeing kind of the first wave of that and it's really exciting. Nvidia as a company is so interesting because their moat is not trying to start new software businesses or sell tokens — they seem quite interested in just releasing a lot of open-source and helping the ecosystem."
Mentioned in 1 episode
"My co-founder and I previously built Docker Desktop while at Docker. We really got an understanding of what makes a great developer experience."
Mentioned in 1 episode
"We've seen a ton of projects, whether it's from Sakana AI or Open Router, that have combined the two and it's seen really good results."
2 recommended · 0 sponsored · 0 warned against · 0 episodes