Sam Hogan 🇺🇸
@samhogan
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ceo @inference_net
San Francisco, CA
Joined May 2012
It's not enough that I succeed. Everyone else must win forever.
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Lots of easy ones that people are missing out here. For example: 1. Early employee at Facebook 2. Early employee at Google, into gene editing 3. PayPal founding team, presidential advisor 4. Early investor in popular ride share app
What are some good ways to tell if someone is “actually smart”? - Harvard, Stanford, MIT degree - MAG7 internships - Got into YC as a teenager - IOI, IMO medalist - Advanced leetcode - GitHub contributions graphs These are obvious, but what are some others?
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The plan? Startup founders give us 7% of their company. In exchange, we give them access to our network of founders, who have also given us 7% of their company. Over time, we will own 7% of all companies.
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What are some good ways to tell if someone is “actually smart”? - Harvard, Stanford, MIT degree - MAG7 internships - Got into YC as a teenager - IOI, IMO medalist - Advanced leetcode - GitHub contributions graphs These are obvious, but what are some others?
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Counterintuitively, the main reason most of the hyper growth AI companies in SF are opening offices in NYC is to retain their best engineers. if you are a good boy they will let you go to the city and see the women
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Haven’t seen a crash out on the timeline in a while, you guys good?
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NEW: Mira Murati's startup Thinking Machines Lab is in early talks to raise a new round of funding at a valuation of roughly $50 billion, more than 4x valuation from a few months ago. w/ @EdLudlow
https://t.co/W67trhGKOE
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Someone needs to teach these kids what a real contrarian bet is
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> AI Slop Code Editor > AI Sales Cheating Tool “We’re contrarians”
contrarian bet: Chad IDE is gonna be one of the successful company in YC F25. met @xkevin_le on day 1 of YC, and after hearing their full picture, i thought they were the most promising team i ran into still feel same. not a ragebait. we'll see!
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🫡
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Trust me when I say Egocentric is a fantastic choice of name for an open source dataset
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Due to an unforeseen naming conflict, we are renaming Project AELLA to Project OSSAS (Open Source Summaries At Scale) Thank you to those who brought the context surrounding this name to our attention, and to our partners and the research community for their ongoing support.
We're introducing Project AELLA, in partnership with @laion_ai & @wyndlabs_ai AELLA is an open-science initiative to make scientific research accessible via structured summaries created by LLMs Available now: - Dataset of 100K summaries - 2 fine-tuned LLMs - 3d visualizer 👇
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@laion_ai @Wyndlabs_ai @AmarSVS @0xdrej @bonham_sol @francescodvirga @ChristophSchuh6 @inference_net @huggingface This project would not have been possible without contributions from many dedicated & talented researchers, engineers, and technologists: - @AmarSVS - @francescodvirga, - @bonham_sol - @ChristophSchuh6 - @laion_ai - @0xdrej - @grass and many more.
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@laion_ai @Wyndlabs_ai @AmarSVS @0xdrej @bonham_sol @francescodvirga @ChristophSchuh6 @inference_net @huggingface This is just the beginning. Next steps: - Process full 100M paper corpus - Link to OpenAlex metadata for citation graphs - Release permissive full texts paired with summaries - Convert to Alexandria-style Knowledge Units Open models. Open data. Open science. Read more:
inference.net
Project AELLA is a large-scale open-science initiative to make the world’s scientific knowledge accessible through AI-generated summaries of research papers.
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@laion_ai @Wyndlabs_ai @AmarSVS @0xdrej @bonham_sol @francescodvirga @ChristophSchuh6 @inference_net In order to complete this project, we trained 2 custom models: Aella-Nemotron-12b, and Aella-Qwen-14b. Available today on @huggingface These models achieve frontier performance on our extraction task at 98% lower cost.
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@laion_ai @Wyndlabs_ai @AmarSVS @0xdrej @bonham_sol @francescodvirga @ChristophSchuh6 @inference_net Blog: https://t.co/OtF9x7kvVc Models: https://t.co/ebaVP7vraN Visualizer: https://t.co/gwjSkWInAi This project spans many disciplines: - bespoke model-training pipelines - high-throughput inference systems - protocols to ensure compute integrity and more. Our goal is
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We're introducing Project AELLA, in partnership with @laion_ai & @wyndlabs_ai AELLA is an open-science initiative to make scientific research accessible via structured summaries created by LLMs Available now: - Dataset of 100K summaries - 2 fine-tuned LLMs - 3d visualizer 👇
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The reverse hacker house: you and your boys get 1br apartments on opposite ends of the city and then 14 hours per day in a Slack Huddle working on your startup
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