Stephen David Miller

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Stephen David Miller

Stephen David Miller

@sdavidmiller

Cofounder / Chief Product Officer at Fyusion; former AI researcher; film podcaster at @SpoilerWarning; lover of snobby beverages. He/him

San Francisco, CA Katılım Ağustos 2008
403 Takip Edilen640 Takipçiler
Stephen David Miller retweetledi
David Cho
David Cho@davidcho·
Bear with me as I go "founder mode" (derogatory).  The project I've been working on was featured by the App Store today, so figured it was a good time to explain it in my first ever "🧵". It's called Postcard and it helps you answer the v real question: "what should I eat today"
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Stephen David Miller retweetledi
Kled AI
Kled AI@useKled·
Today, we’re announcing our $5.5M Seed round to build the first human data marketplace. Backed by Sebastian Thrun (Founder of Waymo), Aglaé (Venture Fund of Bernard Arnault), K5 Global, Diplo, Parable VC, Cox Exponential (CX2), Daniel Greenberg (Founder of MSCHF), Harrison Shih (DoorDash Labs), Kent Lacob (Owner of Golden State Warriors), and more. This brings our total financing to $9 million. (Thread)
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Volodymyr Kuleshov 🇺🇦
Volodymyr Kuleshov 🇺🇦@volokuleshov·
Excited to announce the first commercial-scale diffusion language model---Mercury Coder. Mercury runs at 1000 tokens/sec on Nvidia hardware while matching the performance of existing speed-optimized LLMs. Mercury introduces a new approach to language generation inspired by image and video generation systems like MidJourney and Sora. This approach is significantly more efficient (faster and cheaper) to run that existing LLMs, and reduces the cost of AI inference by 10x. Mercury Coder also achieves comparable performance to speed-optimized frontier models like Claude Haiku and GPT4o-mini. However, it is much more hardware-efficient because it uses a parallel generation mechanism that takes advantage of GPUs. This makes the model much faster or cheaper to run (more users can be served on the same hardware). You can try it today in our playground!
Inception@_inception_ai

We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

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Alex Teichman
Alex Teichman@alex_teichman·
Happenstance 🍀 is the world's best AI person search. New today, you can send friend requests to search the social networks of your advisors, personal friends, happy clients, whoever - or to make your network searchable by those in your orbit.
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Michael Seibel
Michael Seibel@mwseibel·
Does there exist a product in the world where I can give it a list of 150-300 linkedin URLs (think the alumni list of a student group) and it would ingest all the info from the linkedin profiles and allow me to search / filter across that list - similar to the YC founder directory: ycombinator.com/companies/foun…
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Stephen David Miller
Stephen David Miller@sdavidmiller·
📣📣 Alex is one of the smartest and most pragmatic, down-to-earth people I know — an exceedingly rare combination in the hype-filled world of AI. If you’re in the market to work with an awesome startup, you should join him at Happenstance!
Alex Teichman@alex_teichman

Super excited to finally share what we are up to! So much of making progress is about finding the right person at the right time. Happenstance 🍀 exists to create 10x more of this kind of luck in the world. Demo vid right here, details in 🧵

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Alex Teichman
Alex Teichman@alex_teichman·
Super excited to finally share what we are up to! So much of making progress is about finding the right person at the right time. Happenstance 🍀 exists to create 10x more of this kind of luck in the world. Demo vid right here, details in 🧵
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Stephen David Miller
Stephen David Miller@sdavidmiller·
Last night, I attended the premiere of MEGALOPOLIS. The film itself is a bewildering, bloated mess with *occasional* glimpses of brilliance—but the communal experience of watching it at Cannes was a 10/10. I wrote about it for Decoding Everything: decodingeverything.com/p/cannes-2024-…
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Stephen David Miller
Stephen David Miller@sdavidmiller·
@filmspotting My choice to have SAMURAI beat out SINGIN single-handedly catapulted me from the high 200s in ranking to double digits! Assuming REAR WINDOW wins (and I do assume it will), I shouldn’t have nearly as embarrassing a run as I expected to.
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Filmspotting
Filmspotting@filmspotting·
This one is within 10 votes! Which movie should advance for a chance to be named the BEST film of the 1950s - SINGIN’ IN THE RAIN or SEVEN SAMURAI? filmspotting.net/madness4
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Stephen David Miller
Stephen David Miller@sdavidmiller·
I’d understand it more if not for the juggernaut that is NIGHT OF THE HUNTER. It’s a beloved film, of course, but the degree to which it’s considered an all-timer feels very tied with the sort of cinephile who would pick RIO BRAVO or PANCHALI. The combo of both feels surprising.
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Stephen David Miller
Stephen David Miller@sdavidmiller·
.@filmspotting my decision to have 12 ANGRY MEN lose to PATHER PANCHALI is continuing to destroy my bracket. Who are these voters, and do they listen to the show?!
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Stephen David Miller
Stephen David Miller@sdavidmiller·
Where I landed: Eternal Sunshine holds up beautifully, and has plenty of self-awareness about Joel’s motivated reasoning. But as a love-hungry teenager in 2004, I drew all the wrong lessons. I wrestled with the two films in this essay, if you’re curious: sdavidmiller.com/octo/blog/2023…
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Stephen David Miller
Stephen David Miller@sdavidmiller·
@filmspotting @LarsenOnFilm @samvanhallgren really loved your conversation about Eternal Sunshine, especially the focus on Clementine’s agency vs Joel’s imagination. I grappled with that recently too, spurred by Past Lives and its very different depiction of fate / knowability…
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Stephen David Miller
Stephen David Miller@sdavidmiller·
As a last farewell to 2023, I put together a bonus piece for my blog. This is a lightweight companion to the meatier Decoding Everything essay, including: * An 11th bonus pairing * A supplemental 1950s "menu" in honor of @filmspotting's Madness tournament sdavidmiller.com/octo/blog/2024…
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