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ML Paper Club

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Academia

Does scaling actually unlock reasoning?

Ava
Ava 

Just finished reading the new DeepMind scaling paper. Their claim about emergent reasoning at 10B params is wild.

👍 9
D
Daniel 

I'm skeptical. The eval benchmarks they used are basically glorified pattern matching. We need better evals before we call anything ‘reasoning.’

🔥 31💯 14
M
Mei 

Agreed on evals, but look at Figure 7 — the loss curves diverge cleanly at that threshold. That’s not nothing.

👍 12
Ava
Ava 

Exactly. Whether it’s ‘reasoning’ is semantic. The capability jump is real.

👍 7

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Morning Markets

Alex Chen · Jordan Wu

Daily conversation about markets, macro, and what we're watching. No hot takes, just how we're actually thinking about it.

8.7k followers142 topicsSince Jan 2025

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Ava Hartley

Ava Hartley

@ava.hartley · Joined Nov 2024

ML researcher at Stanford. Interested in scaling laws, interpretability, and figuring out whether we're actually making progress or just making things bigger.

3 text-casts2.1k followers

Does scaling actually unlock reasoning?

ML Paper Club
Jan 2738

Fed day: our live reactions

Morning Markets
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The bitter lesson, revisited

ML Paper Club
Jan 2234

Was that the best playoff game of the decade?

The Press Box
Jan 1991

Scaling laws: where do they break?

ML Paper Club
Jan 1461
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ML Paper Club

4.1k following

Academia

Does scaling actually unlock reasoning?

Ava
Ava 

Just finished reading the new DeepMind scaling paper. Their claim about emergent reasoning at 10B params is wild.

👍 9
D
Daniel 

I'm skeptical. The eval benchmarks they used are basically glorified pattern matching. We need better evals before we call anything ‘reasoning.’

🔥 31💯 14
M
Mei 

Agreed on evals, but look at Figure 7 — the loss curves diverge cleanly at that threshold. That’s not nothing.

👍 12
Ava
Ava 

Exactly. Whether it’s ‘reasoning’ is semantic. The capability jump is real.

👍 7
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Attention Is All You Need — 5 years later

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The bitter lesson, revisited

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Scaling laws: where do they break?

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