A little imagination and a whole lot of mischief at @TechCrunch Founder Summit.

Watching people bring their ideas to life in the palms of their hands. 5-second videos generated in just 5.8 seconds on average.

The reaction? “Wait, how are you doing this?”

mischief 1 is out in the world.

Tonight, we celebrate the people who made it happen.

Happy Mischief Night!

it's pretty wild. we study how living neurons compute and turn those discoveries into faster, more efficient AI on today's hardware. step into our lab and come visit us in person: youtube.com/watch?v=R4eKRi…

Here you go 👻 Trick or treat… the demon was NOT ready for this guy. Generated with mischief 1.

Here you go 💰 Crazy Rich Dr. Tai, making it rain gold and cash. Generated with mischief 1.

Here you go 🐈 A cat strolling across a calm river. Generated with mischief 1.

Here you go 🐝 A little golden-haired bee buzzing around her hive. Generated with mischief 1.

check it here: youtube.com/watch?v=8c6KLM…

step into our lab: youtube.com/watch?v=R4eKRi…

Our big bet: the next great compute multiplier will come from biology.

Instead of just adding more chips and power, we study how living neurons compute and turn those discoveries into faster, more efficient AI on today's hardware.

More from the compute we already have.

It’s about @TIME.

TBC has been named one of TIME's Best Inventions of 2026.

Real neurons. A new way to compute. And we're just getting started.

time.com/collection/bes…

#TIMEBestInventions

Neurotech is having a moment, and SF is right at the center of it.

Big shoutout to @naveen101 for bringing the community together at #SFTechWeek!

Meanwhile, @AlexKsendzovsky holding court on the future of biological computing.

Biological computing needs scientists and builders.

Former Meta and NBCUniversal CIO Atish Banerjea is joining TBC as an Advisor to help build the path to real-time biological compute.

Welcome to TBC, Atish.

Read the full announcement → tbc.co/post/atish-ban…

Real brain cells. 4,096 electrodes. Neurons firing.
Come inside TBC with @awscloud youtube.com/watch?v=R4eKRi…

AI has trained us to expect a tradeoff:
Faster = worse
Better = more expensive

What if biology gives us another option?

We’re seeing better output with less compute.

@AlexKsendzovsky gets into why here ↓
youtube.com/watch?v=BjW-yE…

What can real neurons teach AI?
At TBC, we turn discoveries from real neurons into better AI video: faster generation, better performance, better representation of the physical world.
@AlexKsendzovsky explains the connection in under 60 seconds ↓

We use real neurons to improve AI.
Now we’re launching the world’s first neuron-derived video generation model.
Faster. Cheaper. Better.
Running on silicon. Upgraded by biology.
Get early access: tbc.co/early-access

We powered a robot with real neurons. Live. Check it out here:
youtube.com/live/OHNmVGS5w…

Thanks @pollenrobotics and Reachy.

We encoded the @Twitch logo into a network of living neurons today.

Then we watched them respond.

This is where our AI software starts: learning how real neurons compute.

We invited @awscloud in for a tour. Check it out here:
youtube.com/watch?v=OHNmVG…

Going live in 30 min. with @awscloud.
Real neurons → AI software → More efficient video model.
Come inside the lab at 1PM PT today: twitch.tv/aws

Last week we showed you the proof that neurons can improve AI. Today, we’ll show you how.

Guess how many params we added to the model to get these results?

Full post here: bit.ly/4z6ndFG

Our new demo is here. Minecraft, but make it neural.

This is the first proof that real neurons can make AI better, faster and cheaper. Try it and tell us how your run went: bit.ly/44VTG3y

How do we make AI models better without making them bigger?

At TBC, we study how neurons solve problems to make AI video models better, faster and cheaper.

See why we started and what we're building: bit.ly/3Sf4qXM

Biology is more than inspiration. It’s our discovery engine.

At TBC, we study living neurons to uncover new ways to improve AI.

Explore the science: bit.ly/4yAliZq

AI infrastructure changes as quickly as #AI itself.

Our CEO Alex Ksendzovsky shares how we approach cloud infrastructure to support growth in @catherineperlo1’s story.

Read the full piece, available to @theinformation’s subscribers, here: bit.ly/4wdYAoz

🧠 Biological computing is not quantum computing.

Quantum computing uses quantum mechanics. At TBC, we use living neural systems to derive software that improves AI.

Learn more: bit.ly/4w6gvxr

The brain is the most efficient computer we know.

So why not pair biology with silicon?

Junko Yoshida breaks down how TBC uses living neural dynamics to improve the speed, efficiency and quality of generative AI. bit.ly/4pcTTZf

When neuroscientists, AI researchers & ML engineers come together, it’s a home run for biocomputing! ⚾ Interested in joining our all-star team? Contact us: bit.ly/4p8bS34

Together, we harness the brain’s intelligence to evolve how we compute & have fun while at it.

🏅Congrats to CEO Alex Ksendzovsky on earning his 2026 @GlobeeAwards in the Technological Disruption Achievement category! More details here: bit.ly/4xXyDL5

Most AI models improve by scaling compute on silicon.

TBC takes a different path. So what sets us apart? ⬇️ bit.ly/3Sf4qXM

Myth: biological computing is theoretical.

Biological computing is here.

Not as metaphor. Not as inspiration.

We use living neural systems to improve AI today: computer vision, image reconstruction, generative video & new learning rules.

Learn how: bit.ly/4accP45

One of the questions we get most often: How are our neurons fed?

Find out below. ⤵️

Co-founder Alexander Ksendzovsky headed to the @MorganStanley Asia AI Summit and took the stage to share our vision for biological computing. A few snapshots from the event below. ⬇️

As our commercialization phase ramps up, we’re bringing in two luminary strategic advisors whose expertise are essential to TBC’s next chapter. Hear from Shaul and Richard here: prn.to/4vaItqG

Second in-lab media event at our Mission Bay HQ complete! ✅ Always fun showcasing how we go from neurons to software products!

AI is hitting the limits of silicon: more compute, energy and retraining.

The brain learns continuously, preserves prior knowledge, operates with extraordinary efficiency & more.

We study living neurons to improve, not replace, AI training & performance. bit.ly/4n8jEJi

The brain is the most efficient information-processor built and refined over millions of years — we’re translating these abilities into real-world advantages for modern AI systems.

See how via the article. 👉 bit.ly/4w5xTTq

TBC co-founder Alexander Ksendzovsky joined fellow industry leaders and Computing Research Associates for an intimate CRA-I Salon Gathering at the historic University Club in SF to explore what’s next for AI.

Key takeaways here. ➡️ bit.ly/4t3VW2m

During @deantak’s visit to our Mission Bay lab, he witnessed how living neurons can inspire new AI systems based on the brain’s response.

Learn more about Dean’s visit and TBC’s vision for the future of biological computing in @GamesBeat. 👉 bit.ly/3QrHdAz

From generative video to compute efficiency, biological computing is opening a new path for AI. In an interview with @DIGITIMESAsia, our co-founders break down how it enhances AI and what’s ahead. Learn more. ➡️ bit.ly/3QQ3ojX

What if AI’s next big leap was rooted in biology?

@natrubio__ at @theDeepView breaks down TBC’s approach to biological computing, using neural signals from living cells to enhance AI performance. Read more. ➡️ bit.ly/4sCrnAx

TBC welcomed a select group of media into our Mission Bay lab this week for a closer look at what we’re building.

Through observing systems in progress & connecting directly with our team, our guests had a front-row seat to how biological intelligence evolves the way we compute.

At TBC, we translate real-world data into electrical signals → encode these signals into living neurons → map the neural responses onto AI models to make them better, faster, cheaper.

We’re defining what comes after transformers: tbc.co

How do you prevent AI algorithms from losing what they know?💡Hint: biology.

Brains stay flexible through local learning, and AI can borrow these principles to learn more efficiently and move past brute force retraining. bit.ly/4svgi5a

Co-founders Alexander Ksendzovsky and Jonathan Pomeraniec joined @RepJoshG, who brought together builders + policymakers in the same room. We shared how TBC uses living neurons to enhance existing AI models.

We’re proud to contribute to discussions like these.

AI models trade off quality and efficiency.

We show how biologically inspired connectivity preserves structure and clarity in image reconstruction — without redesigning the base model. Learn more. bit.ly/4dpTA9G

Did you know that neural networks have the power to improve video generation? 🎥

Our blog post explores how biological neural networks using real neurons enables increased stabilization in AI-generated videos without sacrificing quality. Read more: bit.ly/4lmMOn5

💡 This is not sci-fi. We put living neurons into AI models to make them more efficient.

Our CEO Alexander Ksendzovsky joined the folks over at @tbpn to break down our process. Watch here: bit.ly/40LedWi

Biology makes modern AI systems better.

Our blog explains how living neural networks enhance computer vision systems and enable more advanced AI capabilities. Take a look: bit.ly/4r57PDW

What if AI was powered by real neurons? 🤯

At TBC, we integrate lab-grown neurons with silicon to supercharge AI systems and models. Read more via @thecubetv. bit.ly/3MRIPCj

At TBC, AI and biology go hand in hand. 🤝

@TheAlexKnapp of @Forbes explores how we use living neurons to train AI models and inspire new models. Check it out. bit.ly/4rR6ykL

The Biological Computing Co. (TBC) is live! 🎉

Backed by $25M in seed funding from @PrimaryVC, @BuildersVC, @Refactor, @WonderVentures, @e1ventures, Proximity, and @Tuskventures — we are the first to bring applied biological computing to modern AI. bit.ly/4rLFq6P

Hello, we are The Biological Computing Co. (TBC), the first to bring applied biological computing to modern AI! 👋

Interested in learning more about us? @agarfinks at @Fortune has the scoop. bit.ly/4bOXDMe