Alessio Fanelli
Italian-born investor and engineer, partner at Decibel and co-host of the Latent Space podcast with swyx.
Alessio Fanelli did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
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Their wordsCoding agents are not perfect, but they have raised the skill floor of software engineering dramatically.
↗Startups are context arbitragesalessiofanelli.com 1st of 4 in this piece
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Their wordsBuild vs buy in the future will simply be a context arbitrage between startups and their customers.
↗Startups are context arbitragesalessiofanelli.com 2nd of 4 in this piece
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Our reading
Startups were never about writing better code; they are about founders and the talent they attract.
Their wordsStartups have always been about the founders and the talent they could attract, they were never about writing better code.
↗Startups are context arbitragesalessiofanelli.com 3rd of 4 in this piece
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Our reading
The best engineer of the future will be the one who puts the most context into the coding harness.
Their wordsThe cracked engineer of the future will be the one that can imbue the most context into the coding harness that their employer provides. And they might not even be an engineer at all.
↗Startups are context arbitragesalessiofanelli.com 4th of 4 in this piece
- 2 years earlier
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Their wordsIt seems obvious that over time LLMs will make it possible for non-engineers to leverage these semantic code functions without any syntax knowledge.
↗From Syntax to Semanticsalessiofanelli.com 1st of 2 in this piece
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Their wordsMost codebases are also messy and are optimized for humans to write syntax, not for LLMs to manipulate them.
↗From Syntax to Semanticsalessiofanelli.com 2nd of 2 in this piece
- 6 months earlier
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Their wordsBut while I agree that LLaMA2 cannot be called open source in the traditional meaning of the word, I also think that it doesn’t matter. The term “open source” needs to evolve (once again) in the world of AI models.
↗LLaMA2 isn't "Open Source" - and why it doesn't matteralessiofanelli.com 1st of 3 in this piece
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Our reading
It is fine that “open source” and “open weights” will be used interchangeably for AI models.
Their wordsFor the foreseeable future, open source and open weights will be used interchangeably, and I think that’s okay.
↗LLaMA2 isn't "Open Source" - and why it doesn't matteralessiofanelli.com 2nd of 3 in this piece
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Their wordsIt’s okay to be disappointed with the LLaMA2 license, but Meta just packaged ~$2M worth of FLOPS into a Github repo, and I think that will be a net positive for the progress of this space.
↗LLaMA2 isn't "Open Source" - and why it doesn't matteralessiofanelli.com 3rd of 3 in this piece
- 3 years earlier
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Our reading
A reputation system based on past activity could help open source maintainers prioritise.
Their wordsI think a “rep” system based on your previous activity could help maintainers make these decisions.
↗How can we help OSS maintainers of "Stadium" projects?alessiofanelli.com