Y Combinator CEO Garry Tan told CNBC that this group is growing significantly faster than past cohorts and with actual revenue. The winter 2025 batch of YC companies in aggregate grew 10% per week, he said.
“It’s not just the number one or two companies — the whole batch is growing 10% week on week,” said Tan, who is also a Y Combinator alum. “That’s never happened before in early-stage venture.”
That growth spurt is thanks to leaps in artificial intelligence, Tan said.
The Robots Are Coming https://farzad.fm.
FREE One Year Supply of Vitamin d3+k2 and 5 AG1 Travel Packs ➡ https://drinkAG1.com/farzad.
Want to grow your YouTube channel? DM David Carbutt.
For 10% discount quote ‘Farzad’ https://twitter.com/DavidCarbutt_
Use my referral code for ElevenLabs AI voice generator: https://try.elevenlabs.io/erm1aiqf3h3n.
Podcasts available on your favorite podcast app.
Get fit! Mention FARZAD when asking for a quote for a custom-built nutrition and fitness plan: https://www.teamevolveperformance.com/
Join this channel to get access to perks:
On Intelligent Machines, Leo, Paris, and Jeff sit with Ray Kurzweil to talk to him about the current state of AI, the singularity, and computronium.
For the full episode, go to: https://twit.tv/im/810
You can find more about TWiT and subscribe to our full shows at https://podcasts.twit.tv.
Subscribe: https://twit.tv/subscribe.
Products we recommend: https://www.amazon.com/shop/twitnetca?tag=lifeboatfound-20… may earn commissions on certain products. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Join our TWiT Community on Discourse: https://www.twit.community/ Follow us:
About us: TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.
TWiT may earn commissions on certain products.
Join Club TWiT for Ad-Free Podcasts!
Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access.
Join today: https://twit.tv/clubtwit.
Join our TWiT Community on Discourse: https://www.twit.community/
Join us for a fascinating interview with Art Ramon, an OmniFuturist and surrealist artist who bridges traditional oil painting with cutting-edge AI art techn…
A new kind of memristor mimics how the brain learns by combining analog and digital behavior, offering a promising solution to the problem of AI “catastrophic forgetting.”
Unlike traditional deep neural networks that erase past knowledge when learning something new, this innovative component may retain previous learning, just like our own brains.
Understanding “Catastrophic Forgetting” in AI.
Jaeb Center for Health Research conducted a randomized controlled trial evaluating the impact of automated insulin delivery (AID) in adults with insulin-treated type 2 diabetes. AID significantly lowered glycated hemoglobin (HbA1c) levels and improved glucose control compared to standard insulin therapy with continuous glucose monitoring (CGM).
AID therapy resulted in a mean HbA1c reduction of 0.9 percentage points over 13 weeks, while the control group experienced a 0.3 percentage point reduction.
Automated insulin delivery systems have demonstrated benefits for patients with type 1 diabetes, yet their efficacy and safety for individuals with type 2 diabetes remain less established. Prior studies have either lacked randomized controlled designs or involved limited sample sizes, creating a gap in clinical understanding.
Scientists have developed shape-shifting nanorobots that can flow like liquid and solidify like steel, paving the way for breakthroughs in medicine, engineering, and robotics. These nanobots, inspired by gallium-based materials, respond to magnetic fields, allowing them to navigate through tight spaces, repair electronics, and even perform medical procedures. While still in the early stages, this futuristic technology could lead to self-healing materials, autonomous repairs, and shape-adaptive robotics, bringing us closer to a world of smart, responsive materials.
