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Obviously Wrong

Kushal Chakrabarti

❤️ numbers & people — irregular insights about AI, leadership and the world

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Latest Issues

The 9s of AI Reliability

tl;dr: Modern AI is simultaneously magical and worthless. How? Tail reliability. A model can be 97% (mean-)accurate but only 70% (tail-)reliable. That gap almost bankrupted 2021 Zillow — and we’re repeating their mistake. ~96% of lm_eval me...

5 months ago
19
9

The Bitter Lesson is Misunderstood

tl;dr: For years, we've been reading the Bitter Lesson backwards. It wasn't about compute — it was about data. Here's the part of Scaling Laws no one talks about:

Translation: Double your GPUs? You need 40% more data or you're just lightin...

9 months ago
52
9

dP&L/dt: The Calculus of Common Sense

A few days ago, the Economist published a story about how 2.5x as many CEOs are defunding AI initiatives, up to 42% from 17% just a year ago. I've previously written about the 4 stages of the AI hype cycle and we're solidly in the 3rd stage...

a year ago
4
1

Prompt Engineering is the New JavaScript

Every generation, programming reinvents itself through a new abstraction layer, upending the technology ecosystem in large but predictable ways.

In the 1970s, it was assembly → C. In the 1990s, it was C → Java. In the 2000s, it was Java →...

a year ago

Working Backwards & Forwards: 5 Years, 2 Cycles & 1 IPO at Opendoor

After 5 incredible years at Opendoor, today is my last day. Having shared my decision with the rest of the leadership team a few months ago, I wanted to take a moment to reflect on the journey. As any good applied research leader would, let...

a year ago
1
1

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  • Kushal Chakrabarti

    ex-Opendoor Chief Research Officer, ex-Berkeley/ex-Amazon AI, 2x startup founder (1 exit)

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