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Alessio Fanelli

Partner · Decibel

Claims
224
Episodes
65
Shows
1
Named items
3

Books, apps, and tools

The evidenced stack.

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tool / uses

Zo

“I think there’s been one thing, I use another thing called zo, which is kinda like a cloud computer plus agent.”

Latent Space · 17 Mar 2026

Evidence receipt · Source ↗

tool / likes

VCR

“First of all, you have very good support for mocking in unit tests, which is something that a lot of other frameworks don't do. So, you know, my favorite Ruby library is VCR because it just, you know, it just lets me store the HTTP requests and replay them.”

Latent Space · 6 Feb 2025

Evidence receipt · Source ↗

other / likes

Simulative AI

“Yeah, I'm a big fan of Simulative AI. We had a summer of Simulative AI. Another term we're trying to coin.”

Latent Space · 27 Sept 2024

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Claim ledger

What Alessio said.

13 transcript-backed records

01 / prediction

The price of like writing code is going to zero, blah, blah, blah. But it actually seems like the value of having some sort of platform substrate is like increasing because as you build these new things, you can kind of plug them together.

“The price of like writing code is going to zero, blah, blah, blah. But it actually seems like the value of having some sort of platform substrate is like increasing because as you build these new things, you can kind of plug them together.”
Speaker
Alessio Fanelli
Publisher
Latent Space

05 / prediction

The v100 is about 130 teraflops of kind of like compute the gb200 at fp4 is like 20, 000 teraflops so the hardware alone today got much more powerful and I would love to maybe hear from you how at the time you were thinking about optimizing for the hardware today versus how much of an insight you had into the hardware that was coming especially working at NVIDIA and maybe people have the same discussion today it's like you know Should we optimize for the hardware of today or like for the hardware of tomorrow, because we need the results today, you know, as a business, but sometimes maybe we waste some time.

“The v100 is about 130 teraflops of kind of like compute the gb200 at fp4 is like 20, 000 teraflops so the hardware alone today got much more powerful and I would love to maybe hear from you how at the time you were thinking about optimizing for the hardware today versus how much of an insight you had into the hardware that was coming especially working at NVIDIA and maybe people have the same discussion today it's like you know Should we optimize for the hardware of today or like for the hardware of tomorrow, because we need the results today, you know, as a business, but sometimes maybe we waste some time.”
Speaker
Alessio Fanelli
Publisher
Latent Space

07 / prediction

I think now for the first time, there's a clear path to how do we make a 7b model good without having to go through GPT-4 or going to Cloud 3. And we'll kind of talk about this later, but I think we're seeing maybe the, not the death, but settling the picks and shovels, it's kind of going away.

“I think now for the first time, there's a clear path to how do we make a 7b model good without having to go through GPT-4 or going to Cloud 3. And we'll kind of talk about this later, but I think we're seeing maybe the, not the death, but settling the picks and shovels, it's kind of going away.”
Speaker
Alessio Fanelli
Publisher
Latent Space

08 / prediction

I think there's a lot of chatter obviously about synthetic data and like there was the Rephrase the Web paper that came out maybe a few months ago about using, you know, Mastral to make training data better.

“I think there's a lot of chatter obviously about synthetic data and like there was the Rephrase the Web paper that came out maybe a few months ago about using, you know, Mastral to make training data better.”
Speaker
Alessio Fanelli
Publisher
Latent Space

09 / prediction

And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now?

“And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now?”
Speaker
Alessio Fanelli
Publisher
Latent Space

10 / prediction

Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff.

“Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff.”
Speaker
Alessio Fanelli
Publisher
Latent Space

11 / prediction

I think after all of this, you can quickly do the math and see that training needs to be distributed to actually work because we just don't have hardware that can easily run this.

“I think after all of this, you can quickly do the math and see that training needs to be distributed to actually work because we just don't have hardware that can easily run this.”
Speaker
Alessio Fanelli
Publisher
Latent Space

12 / prediction

But good luck with the rest of your fundraise. But it's like, never mention a fundraise, but because in the prompt, it, as part of the prompt is like, if it's a pitch and it's not in the space, a pre-draft, an email, it thinks it has to do it a lot more than it should.

“But good luck with the rest of your fundraise. But it's like, never mention a fundraise, but because in the prompt, it, as part of the prompt is like, if it's a pitch and it's not in the space, a pre-draft, an email, it thinks it has to do it a lot more than it should.”
Speaker
Alessio Fanelli
Publisher
Latent Space
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