Emmett Chen-Ran

703 posts

Emmett Chen-Ran banner
Emmett Chen-Ran

Emmett Chen-Ran

@doubleemt

chief code deprecator @virioai prev: ff @southpkcommons, apm @salesforce, eng @stripe, cs @yale

SF Katılım Eylül 2020
735 Takip Edilen714 Takipçiler
Emmett Chen-Ran retweetledi
Adithya Krishna
Adithya Krishna@adii_kris·
whoever created the opening animation for @VirioAI deff cooked w it fr 👨‍🍳
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
@arjmahesh Feel like it’s bc maximalism creates more surface area for critique (and designers are famously critical). monochrome minimalism is safe / doesn’t make claims to having design taste (“I will not try, therefore I can’t be judged”)
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arj
arj@arjmahesh·
why, in the age of limitless development superpowers, is this the prevailing product designer site? who has an OD portfolio? i want to see, hmu
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Michelle Lim
Michelle Lim@michlimlim·
Introducing Flint Ads Agent: we optimize your Google Ads spend for you. Our agent figures out what’s costing you conversions, using our comprehensive data and optimization engine. Then, it executes the fix for you, and learns from the results. @BoomPopHQ 10x’ed conversions with it.
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Ben Lang
Ben Lang@benln·
Rebooting my X group chat for people building projects on Sundays. One rule: you can only post on Sundays. Reply if you want in.
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Reve
Reve@reve·
Today, we’re launching Reve 2.0, the best 4K image model in the world. We invented a new way to generate and edit any image using precise layouts. For the first time, it’s possible to create images you can touch.
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Eliza Kosoy
Eliza Kosoy@ElizaKosoy·
Excited to share that I've left Character AI to start a new company. I'm building a frontier AI lab and public benefit corp, bringing together work from my PhD at UC Berkeley, Google DeepMind, and Character AI. It's the culmination of my life's work at the intersection of youth empowerment and AI. We're currently in stealth and hiring our founding team, including a founding engineer and designer. If this resonates, or if someone exceptional comes to mind, please reach out or send them my way. visit eliza.cool for more roles and info on how to apply friends plz retweet for viz
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Serena Yan
Serena Yan@ysl_serena·
There are more companies selling egocentric data than ones training robotics foundation models nowadays.
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
@signulll Particularly in the last few weeks feels like people are increasingly bullish on software/app layer again. It still takes a helluva lot of effort to make delightful, useful app layer tools for specific use cases
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signüll
signüll@signulll·
it feels like we are entering a different phase of the ai era.. e.g. - frontier models are still improving, but improvements are increasingly measured in reliability, latency, memory, cost, tool use, & workflow completion rather than holy shit benchmark jumps. - the labs are starting to look less like research projects & more like mature platform companies who are now going public which means quarterly earnings. - distribution is becoming way way more important than raw intelligence. - product design matters again. taste matters again. trust matters again. always did but now there isn’t that much differentiation at the model layer for the most part. - the releases are slowing down to a normal pace instead of the frenzy. - no one in their right minds is questioning the tech at all anymore. - it feels less like 1995 internet & more like 2004 internet. kinda like a checkpoint in a video game where your game gets auto saved.
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reactor
reactor@reactorworld·
Today Reactor is coming out of stealth. We’ve raised $59M in Seed and Series A funding, led by @lightspeedvp, with participation from @AmplifyPartners, @wndrco, @Sky9Capital, and @FPVventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, we’ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.
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Pierce Freeman
Pierce Freeman@piercefreeman·
Gonna figure out this damn X algo if it’s the last thing I do. Planning on posting more so I figure it's worth actually introducing myself. Here we go. 👇 I grew up in the Bay and watched this place evolve through every boom and bust it's had. My tech obsession started embarrassingly early. I was six or seven, teaching myself to code on an old HP in the corner of our house on dial up. My lunch breaks were spent reading Dummy’s Guides on C++ and PHP. I was really cool in middle school. In high school, I started my first company around sports data analytics. Then Stanford. I studied AI and fell in love with NLP. Vector embeddings and parameterized models felt like such a step change over the manual rules that were used before. Then transformers dropped. For the first time you could take raw human language that was messy, unstructured and nothing like a database and actually reason about it. I remember thinking that this changes everything. I graduated, joined an early-stage startup, built out their entire ML team from scratch. Training architectures, architecting our data platform, serving models in production and growing that team to about 30 people. Then I left in 2021. It was pre-ChatGPT, and I had this gut feeling that the consumer moment for AI was closer than anyone was publicly talking about. I spent a year traveling with my girlfriend. We worked remote in Lisbon, Copenhagen, Chile, Patagonia, Paris, etc. She had a clear agenda each day. I had Wi-Fi and a feeling that I needed to build something. Planning on sharing some new projects soon. This is by far the biggest boom in San Francisco yet - need to buckle in because I suspect it’s just going to get crazier.
Pierce Freeman tweet media
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
building great product is a lot like being a magician one has to dance around the limits of expectation and heighten experiences for the viewer such that it feels like magic
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
I met Sean at a GC event a few months ago, then my co added $1M ARR in 30 days
Chris Barber (in SF)@chrisbarber

Yesterday I interviewed @SeanZCai about AI data. This is essentially a guide for founders on how to sell data and RL envs to AI labs. "I've never seen a data contract get turned down by a top lab, if it's good quality data, for budget reasons." 00:00 What areas of data are underserved? 02:10 For bio data, is it real-world or purely digital? 04:21 For cyber data, which subsets are most underserved? 05:50 What is the sales process like? 07:04 Why would a lab not renew or increase their purchase volume? 10:13 When a researcher is exploring a new direction, what's the first step? 11:35 In robotics data, what do you view as underserved? 13:12 What does the initial data delivery look like, what format? 13:53 Do labs have more sophisticated internal setups for running environments? 14:32 Are the non-frontier labs buying off-the-shelf data from Anthropic / OpenAI vendors? 16:11 Do Anthropic data vendors put expiry timeframes on the exclusivity? 16:42 Are purchase decisions researcher-led? 17:41 Decagon, Sierra, Ramp: what kinds of data are they buying? 19:06 Long-term, when do labs still need to buy external data vs train on user traces? 21:15 Will end-vendor benchmarks shift to performance per dollar? 22:04 How many labs are spending at the 1B+/yr data level? 23:53 Delta between Anthropic's stated $1B and your 10-20B/lab number? 26:05 What makes inference providers / neoclouds a good fit to acquire RL env cos?

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Fotis Chantzis
Fotis Chantzis@ithilgore·
We’ve spent a lot of time on the framework underneath Codex, so it can move quickly on routine work while stopping for review when the risk changes. Here’s how we use sandboxing, approvals, network policy, and telemetry to run Codex safely @OpenAI: openai.com/index/running-…
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lizee 💫
lizee 💫@troybarretts·
my friends birthday “party” invite she sent out is absolutely sending me
lizee 💫 tweet media
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Bryce Schmidtchen
Bryce Schmidtchen@_bschmidtchen·
Real-time World Models are the next AI frontier. Today, we @reactorworld are taking the first step towards this reality: our early preview lets you experience worlds generated in real-time, running on our global low-latency infrastructure. Try it now: reactor.inc
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emily is in sf
emily is in sf@emilyinvc·
what ever happened to hebbia?
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
@contraben Great paper Curious what you guys thought/concluded about the pre-ideation/pre-prompt adherence phase, of how creatives decide on a direction/treatment for a project at all. Like having AI do mood boarding or combining unexpected inputs for human selection
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ben
ben@contraben·
Introducing the Human Creativity Benchmark. The first eval that scores AI models the way creative experts do.
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