Craig Calderone

For the first time in over 50 years, humans are Moonbound. At 6:35 p.m. EDT (2235 UTC) NASA’s Space Launch System rocket and the Orion spacecraft lifted off from the agency’s Kennedy Space Center in Florida, sending four astronauts on a planned test flight around the Moon and back. go.nasa.gov/4tlRfRS

Proud to support the Mended little hearts of Long Island Turkey Trot! zeffy.com/ticketing/5be5…

🚨 Poll Time! 🚨 What’s the biggest challenge your organization faces when using AI in healthcare? 🤔 Let us know! 👇 #HealthcareAI #AI #DataChallenges #CynthiaData #LLM

🚨 New on the blog! 🚨 Discover how synthetic data is transforming #HealthcareAI. Learn how it ensures privacy, boosts compliance with #HIPAA, and accelerates AI development. 🏥💡 Read more: bacclabs.io/2024/09/18/how… #AI #SyntheticData #HealthcareTech

We dive into the biggest challenges of #AI in healthcare: data security, privacy, and compliance. Learn how #syntheticData is changing the game and why #CynthiaData is your solution for compliant #MachineLearning. 🏥🔐💡 Read more: bacclabs.io/2024/09/13/the… #HealthcareAI #HIPAA

🚀 Big things are coming! We're excited to announce that we're launching a game-changing tool for generating Cynthetic data. Stay tuned for how #CynthiaData will transform the way you generate healthcare data. 🏥💡 #HealthcareAI #SyntheticData #MachineLearning #HIPAA

In NYC for a #GenAI event and rode a citibike from chelsea piers to penn… pretty good bike lanes for a nice ride on a fall day

Founder Mode: paulgraham.com/foundermode.ht…

@alexiskold Exploring something in this space around test data

So many apps are plain broken. The world needs a lot more QA. AI QA for just about anything. Who is working on this?

felt that #earthquake in long island... pretty wild. earthquake.usgs.gov/earthquakes/ma…

Starting up ... again. Exploring some new problems. craigcalderone.com/2024/04/03/sta…

@ylecun @giffmana @offmeta Hindsight is always 20/20. Real life hits a bit different when you need to make tough decisions

A number of reasons: 1. Google had 600 employees and no revenue at the time (this was January 2002, before ads, gmail, etc). You can't really do real research at that stage. My job would have involved a lot of corporate strategy, technology development for products, management, etc. I wanted to refocus on basic research in ML, vision, robotics, and computational neuroscience. 2. The salary was low. Obviously, the stock option package would have ended up stratospheric. But we had teenage sons getting close to college and needed cash. Housing is more expensive in Silicon Valley than in New Jersey. 3. My family didn't want to move to California. You can't uproot teenagers without them hating you for it. 4. I had just left AT&T and joined the NEC Research Institute in Princeton. I thought I could work on ML/vision/robotics/neuroscience there. It turns out the place was quickly disintegrating into an applied research lab and I left for NYU after 18 months. Had I joined, I think the research culture at Google would have been different. I might have made it a bit more open and a bit more ambitious a bit earlier.

Let me tell a story about free books. In the mid 1990s, I started a project called DjVu at AT&T Labs. The purpose was to devise a new image compression format so that printed documents could be scanned at high resolution and distributed efficiently over the newly expanding Internet. The format was released in the late 90s/early 00s and adopted by websites li,e the Internet Archive. As a useful demonstration of the technology, I decided to scan and distribute the complete collection of proceedings of the Neural Information Processing conference (NIPS). I asked the publishers, Morgan Kaufman and MIT Press, for permission to do that. They agreed because they weren't making any revenue from past proceedings. We scanned the 13 volumes, OCRed and indexed all of the material, and put it up on a free website in 2000: nips.djvu.org This open-access repository turned out to be *extremely* useful to the machine learning research community. Around the same time, the ML community rebelled against commercial journal publishers and created JMLR, which was one of the first open-access and totally free journal. This also turned out to be enormously beneficial. Eventually, the NIPS conference stopped making printed proceedings and started hosting all the books on their website ( nips.cc ), including our scans. If you ever wondered why the ML/AI community embraced a culture of fast posting of preprint and open-access publications, that's it.

The #healthtech community is alive and well at #NYTechWeek #healthtechnerds @Company

We are excited to announce the acquisition of @SeeWithinhealth, a leading radiology workflow automation organization. The addition of #WithinHealth further strengthens #ImagineSoftware's AI capabilities, improving workflows and more. Read here: loom.ly/7TocuT0

Craig’s Substack: Starting up craigcalderone.substack.com/p/starting-up?…

Exciting day! now what should i build? #GPT4 🤔

1 for 2 on #marchmadness bracket. not a bad start.

the SVB ripple effect some crazy shit on a monday

@lauraspiekerman the @AntlerGlobal team might have some portfolio companies for you to chat with @lauraspiekerman

Hi! We're looking to chat with folks who deal with Fraud & Risk/Compliance at fintech companies operating in or HQ'd in Germany, the Nordics, Ireland, or the Netherlands. Anyone come to mind?

Revival craigcalderone.com/2023/03/01/rev…