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@APatelThompson

Currently asking questions, like: what does building AI for care, not convenience, look like? Storyteller, mama, builder.

Palo Alto Katılım Temmuz 2010
3K Takip Edilen8.9K Takipçiler
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Avni
Avni@APatelThompson·
✨What if the most radical thing AI can do for us is not DO the things for us, faster and ever efficient, but rather push us to choose what is most meaningful and then make the space for us to do it ourselves? ted.com/talks/avni_pat…
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Penguin Books USA
Penguin Books USA@penguinusa·
Don't let anyone talk you out of buying that 1 book at the bookstore. Those 3 books could be the most life-changing 10 books you've ever gotten.
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Paul Graham
Paul Graham@paulg·
There is nothing more powerful than well-informed optimism. It has to be well-informed though. The "everything will be fine" type of optimism may also be somewhat useful, but it's not as useful as the "Hmm, what if we tried x?" kind.
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UFO mania
UFO mania@maniaUFO·
For a few minutes each year, sunlight makes this Yosemite waterfall look like a river of fire.😍
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Dilum Sanjaya
Dilum Sanjaya@DilumSanjaya·
Fun interactive science app ideas | Part 3 Played around with generating 3D biological structures and made an app to explore them interactively UI Design GPT Images 2 Code Gemini 3.1 Pro More demos ↓
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Paul Graham
Paul Graham@paulg·
It's a rough combination when people are simultaneously overreaching and uninformed. They want the best of everything, but they don't know what the best is, so their demands are simultaneously strident and random, like a set of vectors with large magnitudes and random directions.
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Mathelirium
Mathelirium@mathelirium·
A neural network can begin as a flat sheet and learn the shape of hidden data A self-organizing map turns learning into geometry. Each data point pulls one winning neuron toward it, but nearby neurons move too, and so the whole lattice bends without losing its neighborhood structure. The strange part is that the network is not given the roll shape. It discovers the shape through competition and local cooperation. Paper: Self-Organized Formation of Topologically Correct Feature Maps Authors: Teuvo Kohonen Year: 1982
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Avni@APatelThompson·
I want to dig into this to understand the nuances but on the surface I think this is great. A lot of the issues of gender gap is that we live in a society that values GDP above all. The professions women are in disproportionately are under compensated in $$ while being rich in “meaning” - teaching, nursing, caregiving. Perhaps this will drive a more balanced pursuit across all professions?
Grant Bailey@grantjbailey

This one surprised me. Teen girls now say "having lots of money" is important in life at the same rate as boys. There used to be a huge gap.

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Lawrence Yeo
Lawrence Yeo@moretothat·
This is so good. I love Derek's essays.
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Goodfire
Goodfire@GoodfireAI·
Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵
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Alex Lieberman
Alex Lieberman@businessbarista·
I want to start an AI community for executives. This will be a space for people to share killer use cases, agentic workflows/agents, post-AI org structure, AI governance, AI training/enablement, change management, and more. Comment “AI-native” if you want to join.
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Lenny Rachitsky
Lenny Rachitsky@lennysan·
The most female-led product org in tech right now: Chief Product Officer: Ami Vora Claude Code/Cowork Head of Product: Cat Wu Claude Code/Cowork Head of Eng: Fiona Fung Claude Platform Head of Product: Angela Jiang Claude Platform Head of Eng: Katelyn Lesse Research Head of Product: Dianne Penn President: Daniela Amodei (Also, the fastest-growing company in history)
marisa@meshtimes_

30 mins into the claude code keynote and every speaker so far has been a woman. just saying 🫶🏻 @asvora @angjiang @katelyn_lesse @_catwu Dianne Penn @claudeai

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Avni@APatelThompson·
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Catherine Yeo
Catherine Yeo@catherinehyeo·
Love seeing Naomi Osaka honor the CLRS Algorithms textbook at this year's Met Gala
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Karri Saarinen
Karri Saarinen@karrisaarinen·
The obvious path for designers in the AI age is to move closer to code. But the more valuable path may be upstream: closer to the customer, the business, and the problem. If everyone can prompt agents to code, the scarce skill becomes knowing why, what, and how to build.
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Merriam-Webster
Merriam-Webster@MerriamWebster·
by = ✍️ buy = 💵 bye = 👋 Bye Bye Bye = 💁🏼‍♂️💁🏻‍♂️💁🏼‍♂️💁🏻‍♂️💁🏻‍♂️
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signüll
signüll@signulll·
when you launch a new product this is what your ideal scenario looks like in terms of reaction: - 50% don’t give a rat’s ass. - 25% dismiss it right away (esp the ones who are knowledgeable about the space, the so called experts or “product leaders”) - 13% pure haters. - 10% true fans who help you to be truly better. - 2% who see the future & just get where the puck is going, not where it is. if you achieve these numbers at scale.. you have something with potential on your hands.
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