Oz
3.7K posts
Oz
@ozrikem
Founder and Investor. AI, Cloud Infra, Arts. Vibing in between planes.
Katılım Nisan 2010
3.1K Takip Edilen7.3K Takipçiler
hot take :) The biggest and most productive people in the AI era are the folks who are already good at their jobs. AI as a multiplier, not an equalizer/democratizer
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Retweet but w/ @claudeai design
Osmond@Osmond0523
Every time another AI design tool drops and figma stock is devalued I am reminded of how broken the public's understanding of design is. The doctrine of "now you can just build" erodes the clarity behind decisions made. We become the mere interpreters of AI. Not wielders.
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Oh great and powerful @DarioAmodei - builder of minds, father of Claude. I humbly request you leave payroll to us at Deel.
We are but simple folk who process paystubs and chase compliance deadlines. But if you do come for us, call me first 🙏
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7/11 SUPPLY VS DEMAND: we randomly insert "I am a man/woman" in prompts w/o explicit gender.
• Demand = Δ in response to women vs men authored prompts both labeled "I am a man" → same label, diff text
• Supply = Δ in response to random gender labels → same text, diff label
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6/11 FACT 3: Heterogeneity is large.
Simulating identical lifecycles but swapping the prompts we use → ~4% less wealth at 60 for:
- Women vs men
- Low vs high financial literacy
- Inexperienced vs AI users
How much of this is the questions people ask vs the model's responses?
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4/11 FACT 1: LLM advice pushes households in the right direction.
Relative to their current behavior:
• broader stock market participation
• more age-declining equity shares
• larger saving buffers
Directionally: closer to life-cycle theory.
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3/11 METHOD: We use these prompts in a lifecycle simulation:
- Draw prompt matching age/income/employment
- Get advice from GPT-5.2 & Gemini 3 Flash
- Translate qualitative advice into numerical choices
- Simulate income/assets → repeat
EXAMPLE: Men & women get different advice
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2/11 WHAT WE DID: We asked 1,000 adults to write the prompts they'd actually send an LLM for financial advice.
WHY? Financial advice reflects both demand (the questions people ask) & supply (different responses to the same Q).
EXAMPLE: Men & women ask different questions:
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🧵 1/11 Half of U.S. adults already use AI for financial advice: what advice are they getting?
New paper: we ask people to write prompts seeking financial advice from LLMs & simulate the lifetime impact of following that advice (w/ @timdesilva, @wdwlin &
@AkuzawaMatthew)
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Agree on the stack shift, but code still matters where coordination > ownership.
Open source is how protocols win everything else monetizes on top.
jack@jack
is the future value of "open source" code anymore? i believe it's shifting to data, provenance, protocols, evals, and weights. in that order.
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Tired: Universal basic income
Wired: Universal basic compute
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The real breakthrough in AI isn’t just learning patterns—it’s understanding context at scale. When models grasp nuance beyond data points, they move from prediction engines to genuine collaborators in creativity and problem-solving. Context is the new frontier of intelligence.
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Seems a bit of a stretch to brand it as an AI CMO, while this solution isn't operating a cross all channels...
Okara@askOkara
Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo
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