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Bethany pfp
Bethany
@quinntersection
I geeked out analyzing "THE AMERICAN DYNAMISM 50: AI EDITION" by Andreessen Horowitz, so I figured I'd post it in a thread here where it won't get buried by the algorithms. I'd love to hear other folks' takes on this as well! https://a16z.com/american-dynamism-50-ai/ @pmarca
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Bethany
@quinntersection
Overall takeaways: very narrow, male, conservative definition of “natl interest.” Is our ability to navigate space more important to natl interest than fixing black maternal mortality rate? Or preventing the nearly 50K gun deaths per year? But there is some edtech/health here, so it's not just a narrow definition
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Bethany pfp
Bethany
@quinntersection
Anyway, moving on. Definition/choice noted. Here’s my reaction to the companies they do talk about: 1. Aerodrome: So cool & so helpful in practice, though in theory so Minority Report & so easy to see how this could go badly.
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Bethany pfp
Bethany
@quinntersection
2. Agility Robots: cool re: last mile delivery! Lol Amazon take note since apparently you’ve burned & churned your way through most of the human labor force :/ https://www.vox.com/recode/23170900/leaked-amazon-memo-warehouses-hiring-shortage
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Bethany pfp
Bethany
@quinntersection
3. Air Space Intelligence: isn’t main problem in air travel efficiency that most planes are equipped with old fashioned radar so planes have to travel over a system of towers?
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Bethany pfp
Bethany
@quinntersection
& upgrading all that equipment to modern comms equipment as per FAA’s NextGen initiative would require major investment coordinated between a ton of folks? This feels like tinkering in the margins if flight time is one of your main KPIs.
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Bethany pfp
Bethany
@quinntersection
https://www.gao.gov/products/gao-24-105254#:~:text=NextGen%20is%20FAA's%20multi%2Ddecade,satellite%20navigation%20and%20digital%20communications.
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Bethany pfp
Bethany
@quinntersection
4. Ambient.AI: Minority Report again. And you’d have to be SOOOO careful about that training data & how you avoid bias (because studies show that excluding #demographic data *increases* #bias because basically the training data is likely to include historical bias,
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Bethany pfp
Bethany
@quinntersection
& ML algos can create proxies by triangulating other factors to predict demographics [& it reproduces/exacerbates historic bias]). https://hbr.org/2023/03/removing-demographic-data-can-make-ai-discrimination-worse
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Bethany pfp
Bethany
@quinntersection
5. AMP Robotics: interesting & important development in #recycling and #wastemanagement. Though the founder’s last name is Horowitz - any relation? (No shade but seems like something you should disclose? And/or address?)
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Bethany pfp
Bethany
@quinntersection
6. Amperon: k cool. #ElectricityGrids, #machineLearning, yada yada (with presumably significant economic impact). I’d also be curious about #Porters5 here (seems replicable?) but if Andreessen Horowitz is writing about you you’ve probably got some excellent political capital & can beat others in the space out.
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Bethany pfp
Bethany
@quinntersection
7. Anduril Industries: #yikes. Scary bomby #drones. 8. Applied Intuition: k, cool. Better tools/software for #selfDrivingVehicles
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Bethany pfp
Bethany
@quinntersection
9. Built Robotics: k, cool, #robots building #solarPower stuff. But isn’t an inch kind of a significant difference in construction applications? If memory (and my laughably limited woodworking knowledge) serves, my dad measures his projects by 1/16 inch. I doubt commercial #construction is that much sloppier?
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Bethany pfp
Bethany
@quinntersection
(I mean you’re definitely doing cool stuff and heading in the right direction. But seems like a ways to go before you’re ready for prime time/sales?)
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Bethany
@quinntersection
10. Chef Robotics: k, cool. Seems pretty straightforward. 11. Covariant: cool, good stuff. :-p more helpful #tech for Amazon as it continues 2alienate the human workforce. 12. Databricks: K. Basically looks like it helps companies build LLMs from their own internal data in a private/more secure/governance-friendly way
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