Barak Lenz

5 statements across 1 episodes · 2 bullish · 1 bearish · 1 people on the record · first statement Oct 11, 2025 by Barak Lenz · across every show →

On the record as a speaker too: Barak Lenz's record, appearances and statements → this page counts the times other people say the name.

Everything said about Barak Lenz, oldest first

Oct 11, 2025 negative

Insight

Lenz: Engineers seeking online answers are not at the frontier

“And I'm looking for people that try to solve problems on their own. Because if you think you're gonna found the answers online, I think you're not in the frontier.”

Barak Lenz Oct 11, 2025 ▶ 21:55 Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21

Oct 11, 2025 bullish

Assertion Not checkable as stated

Lenz: Local smartphone AI requires hybrid models due to KV cache limits

“So if you wanted to do something local on your phone to search your images, as an example, you can't do that without a hybrid architecture or without doing drastically changes because the model plus KVCache won't fit.”

Barak Lenz Oct 11, 2025 ▶ 13:09 Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21

Oct 11, 2025

Assertion Partly supported

AI21 CTO: Jamba 3B uses 1:12 attention ratio to cut memory footprint

“So this is a three B dense with only two attentional layers. It's one to 12 and not one to eight, because we wanted to maximize the efficiency. It has very few attention heads, so everything is geared To have, you know, long context with very little memory.”

Barak Lenz Oct 11, 2025 ▶ 15:08 Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21

Oct 11, 2025 neutral

Insight

Lenz: 3B models cannot be generalized and must be task-tailored

“Because again, three B models, they need to be tailored for tasks. It's not like you could squeeze whatever you wanted into them.”

Barak Lenz Oct 11, 2025 ▶ 15:36 Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21

Oct 11, 2025 positive

Insight

Lenz: Training foundation models mirrors developing algorithmic trading strategies

“So, so it's very similar in terms of how you interpret results. You want to treat everything as a black box. You want to establish your bounds, you know, what are you, and I've had tons of experience in algotrading, both from making money and not making money …”

Barak Lenz Oct 11, 2025 ▶ 25:52 Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21

Barak Lenz

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