Co-founder, CTO, designer @goodygifting. Technology and behavioral science for social good. Systems, mindfulness, psychology, writing, and living well đȘŽ
Joined November 2006
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Mark Bao retweeted
B/c having a vendor w/ 1000âs of people who wake up every day literally only thinking about solving your problems is a good feeling and worth paying for and why the vertical software selloff is stupid because SMBs donât fucking care about benchmarks they just want. it. to. work.
Mar 30
Why do law firms choose Harvey and Legora over Claude? Right answers only.
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Mark Bao retweeted
Mar 25
Jevons paradox is happening in real time. Companies, especially outside of tech, are realizing that they can now afford to take on software projects that they wouldnât have been able to tackle before because now AI lets them do so.
Weâre going to start to use software for all new things in the economy because itâs incrementally cheaper to produce. Marketing teams at big companies will have engineers helping to automate workflows. Engineers in life sciences and healthcare will automate research. Small businesses will hire engineers for the first to build better digital experiences.
And as long as AI agents still require a human who understands what to prompt, how to review when an agent goes off the rails, how it guide back, how to maintain the system that was built, how to fix the ongoing bugs, and more, we will still have humans managing these agents.
This is why all the advice you get of not going into engineering is wrong. The world is going to increasingly be made up of software, and the people that understand it best will be in a strong economic position. This will happen in other roles as well where output goes up and demand increases.
Mar 24
Engineering job openings are at the highest levels weâve seen in over 3 years
There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We donât know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.
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The more you use LLMs, the more you learn to predict its answer and personality, in a similar way that the LLM is predicting our behavior.
I think thatâs a lot of the experience that comes from using LLMs, e.g. noticing what parts of a prompt might lead it to people-please youâŠ
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âŠinstead of giving you the truth, and adjusting your prompt to compensate. (LLMs have gotten better at pushing back instead of glazing you though)
Similar to developing a theory of mind of other people. The general skill here is âpeople skillsâ, and it has a LLM analog as well.
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In AI code, I think most products are still playing catch-up to what @cognition Devin built two years ago
No other product lets you configure a VM with your environment and server/test scripts; lets you interact with the browser in the VM; and supports projects w/multiple repos
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Devinâs issue has mostly been that itâs not super fast, though itâs gotten better. Like with other AI tools, the bottleneck is code review (no, you cannot fully outsource that to AI in a serious company). And since theyâre not subsiding as much, it can get expensive
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I still use Cursor / Claude Code more because I like to code alongside the AI, but for totally âdriverlessâ tasks, nobody has really gotten close to Devinâs UX.
Maybe because the foundation labs donât have the capacity to run ten million VMs due to their greater distribution
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