Chris Boesch @SingPath
Computer scientist and educator working at Amazon Web Services. aws.amazon.com Gilbert, AZ Joined October 2009-
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If you want to start a startup, don't learn "entrepreneurship." Learn how to build things. The hard part of startups is not "entrepreneurship" but product: to know what to build, and to be able to build it.
Nobody teaches you that discipline feels like punishment until the results start feeling like freedom
The most underrated skill of the next decade: knowing what questions to ask.
"you can outsource your thinking, but you can’t outsource your understanding" easy to forget in todays AI era, worth remembering everyday as we all wield more intelligence!
Agents are tools but they're more like fire than a wrench. Have you ever really looked at a furnace? The job of 90% of that mass is to contain the fuel/fire, and to stop it when something goes wrong. Agents need so much containment.
People complain about corporate "short-termism", "chasing quarterly profits" and so on but what makes them really angry, what truly enrages them beyond all reason, is seeing corporations with an actual long-term vision willing to endure years of losses in pursuit of a goal.
I loved the Project Hail Mary movie (and the book). Science, technology, competence, and openness – this is my culture.
The bitter lesson in 26 words: Don’t be distracted by human knowledge, as AI has been historically. Instead focus on methods for creating knowledge that scale with computation, like search and learning.
Adjacent to this: never has there been a time where making pure software for *yourself* been a greater point of leverage. You get to upgrade your own importance in the universe while many are barely aware of how to use AI to its full potential.
To solve any problem, you don't have to be super smart. You just have to 1) be able to break down problems into subproblems, 2) be slightly smarter than the hardest of the atomic subproblems. The real challenge is that the process can take a very long time.
As measured by GDP, AI will be super undervalued. How would the datacenter of geniuses show up in GDP? GDP would show raw inputs (aka chip & energy), and raw outputs (aka cost of tokens). But wouldn't clearly reflect the value of the crazy new shit that's being cooked up in those tokens. Similar problem to how the Internet's value is undercounted today (since many products are free, and thus contribute nothing to measured GDP). Perhaps the best way to measure the size of the future AI economy will just be our civilization's total energy use. Full episode with @CJHandmer out in a couple hours! (Credit to @jekbradbury and @gwern for mentioning this idea in conversation.)
The play right now is to go deep in a vertical and build AI Agents with the context of the critical workflows, domain expertise, specialized instructions, and data of that industry. And build anticipating what’s possible with AI models in a year from now, not just today.
important leadership skill is precisely communicating your intent — that is, proposing what the properties of successful execution would be, while leaving the choices of how to achieve those goals for the team to propose in return
Dujiangyan Zhongshuge is a bookstore located in Chengdu, China. Designed by architecture firm X+Living, it's a two-story space which looks like an M.C. Escher-like artwork, thanks to the mirrored ceilings and gleaming black tile floors [read more: buff.ly/34vqCRP]
Progress in generative AI Past: Cherry-pick good results Now: Cherry-pick bad results
There's something deep and borderline unintuitive about most real-world problems just happening to be (informally) NP-Complete: hard to solve but easy to verify a solution to. It's this asymmetry that makes progress possible, as culture can record previous computational work.
Wow, interesting, the average programmer spends nearly 60% of their workday reading code rather than writing it. So why do we practice writing code more than reading code? 🤔
How to become expert at thing: 1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise) 2 teach/summarize everything you learn in your own words 3 only compare yourself to younger you, never to others
Spotted in @csvoss's bathroom
Amazing creativity and communication
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