i say this everytime, but such a fun event tn!! love bringing tgt creatives in tech, this one being focused on film u guys are the coolest @Jackyhuang @rylinaz @juliazniv @alli_gooch @patrickmcguire i cannot believe the sound design process for @wentoffscript is so cool

tech executives, when they’re invited to a 3 star michelin dinner: 1 month before: yeah i’m coming 1 week before: yeah i’m coming 2 days before: yeah i’m coming 1 hour before: hey sorry, something came up

this is my fave salt bread spot in ikseondong, go if you're in town for icml!

i always joking tell people i feel like i’ll meet my husband on twitter but i meet people like @majamediaco on here and when we met, we just instantly clicked ❤️ the internet’s butterfly effects are crazy, and your choice of partner is easily one of the most important choices in your life

rare to find a japanese mom n pop shop with $6 rolls and FREE avo/cucumber add ons, soup, side, and hot tea for free in sf these days go show em some love!! 📍sushi easy on valencia

i much more enjoy these types of conversations, but tech bros alwaaays drone on about the former

happy birthday amurica 🦅🇺🇸

dont talk to me or my son ever again

i LOVE how oil paint looks on linen, especially when it’s drenched in color works by theresia zhang, who “explores the distance between humans, nature, and modern civilization, painting the awe, longing, and quiet fear of people living within cities yet estranged from the natural world.”

1 hour from sf you can eat an unlimited amount of the sweetest peaches you’ll ever try at the cutest family farm

As a videographer, it's always fascinating to hear what goes into producing larger projects and the challenges that come with them. Thank you @jackyhuang, @rylinaz, @patrickmcguire @juliazniv @alli_gooch giving us a behind the scenes look at your creative process and background. And thank you to @adelwu_ and @GammaApp for host this event.

booth engagement tactic: just play the world cup

this is GONNA BE GOOD

we love our startup customers <3

If you printed and stacked the pages @reductoai has processed this year, the stack would reach space multiple times over We just wrapped an insane Q2 but some highlights that stand out: - 🖥️ We made a lot of progress on core model performance and grew the product surface. Reducto is now faster and more accurate across the board - 📈 Our GTM team is crushing it, and the team delivered 350% to quota capacity this quarter - 🖥️ (pt 2) Our new products like Deep Extract are setting a new standard for the industry. In @micro1_ai's benchmark there was literally no solution that came close. - 💰We broke our record for largest new contract twice - 🏢 We're now 50% over intended capacity for our office, and are moving to a beautiful new space soon --- The day to day of startup life is always chaotic with plenty of ups and downs, but every time I pause to think about the bigger picture of our journey it's genuinely hard to believe. Revenue growth is still around 8x YoY, and we're just now ramping our capacity. Our sales team in Q3 will be 4x the size of what it was in Q2. Even more importantly, we secured a massive cluster of GPUs and there's a lot that our product research teams are working on that I think will be a step change for our customers. As always, could not be more grateful for our customers and for the team that makes all of that possible. More from us soon 🔮

speed being “the only moat” doesn’t just apply to engineering i’ve noticed that the speed on which you execute a creative idea - whether that’s an event, video format, launch idea - really matters the minute someone else has done it first, you’ve lost half the battle

oh let’s go @abhiarya

AIE DAY 2 GIVEAWAY!! @aiDotEngineer you have until 6pm to come enter!!

Today we're publishing LongExtractBench, a benchmark commissioned by @reductoai and independently validated by micro1. We evaluated seven production document extraction systems across the same 225 complex enterprise documents. The benchmark was intentionally difficult: documents averaged 358 pages and contained roughly 88,700 ground-truth fields each. Every system was evaluated using the configuration documented in the benchmark methodology. Key findings: • Reducto Deep Extract was the only system to successfully complete all 225 documents. • Direct frontier LLM baselines achieved substantially lower completion rates on long, complex documents. • In this benchmark, dedicated extraction platforms achieved higher completion rates than the direct frontier LLM baselines. • Recall was the clearest differentiator. Precision remained high across systems, but recall ranged from 33.8% to 99.6%, highlighting which systems consistently captured the information contained in long, complex documents. The full report includes the benchmark methodology, limitations, and reproducibility resources. Check out the report and results in the comments below.

this has been a long time coming, but can't emphasize enough how amazing this is 88k fields extracted PER document! hundreds of pages on average! this is not work humans want to be manually doing, but the data is business-critical in a lot of cases.

epic opening night of #AIE with our friends at @reductoai and @cognition. @hahnbeelee rocked the panel and was swarmed afterwards. stayed out past my bedtime.