kartik sharma

Software engineer | Creator -

[kartik sharma @slaplabs]

India is so far behind the AI race that I think it's going to have the least impact when the bubble bursts.🥴

[le.hl @0xleegenz]

When both manager and team lead are on leave

The team:

[Cheng Lou @_chenglou]

My dear front-end developers (and anyone who’s interested in the future of interfaces):

I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

[kartik sharma @slaplabs]

Someone confessed on a guava😭

[kartik sharma @slaplabs]

One of the coolest ways I’ve been using AI lately is snapping a photo of fruits and vegetables at the store to help me pick the best ones! :p

[Rohan Paul @rohanpaul_ai]

🤯 Researchers at Cortical Labs managed to get 200,000 human brain cells inside a petri dish playing DOOM.

The real breakthrough is the leap into Synthetic Biological Intelligence (SBI) and biological computing.

This could eventually solve the massive energy bottleneck of modern AI.

📌 Here’s exactly what happened.

The Australian biotech company, Cortical Labs, grew about 200,000 human neurons (from adult stem cells) directly onto a silicon chip.

They didn't give them a tiny screen. Instead, they translated the digital data of the 1993 game DOOM into electrical signals. If a monster appears on the left, the left side of the cells gets zapped. The neurons naturally react by firing back electrical spikes. Cortical’s software decodes those spikes into game commands—like shoot or dodge.

Through neuroplasticity (the same way our brains learn), the cells figure out which pathways lead to success and strengthen them.

Standard AI requires billions of parameters and massive datasets to learn anything. Biological cells possess "plasticity," meaning they can organically adapt to new, sparse, and chaotic data streams almost instantly to survive and optimize their environment.

📌 Traditional silicon-based AI (like the massive GPU clusters used for current AI training) burns through staggering amounts of electricity—often measured in megawatts. Biological brains are the most efficient computers in the known universe. The human brain runs on about 20 watts of power (less than a standard lightbulb). A server rack of 30 CL1 biological computers consumes less than 1,000 watts combined.

📌 Ever more wild is that Cortical Labs has practically launched a "Wetware-as-a-Service" (WaaS)

This whole this isn't just a lab experiments; Cortical Labs has commercialized this.
Through their "Cortical Cloud," developers anywhere in the world can write Python code and deploy it via an API to a physical jar of living human brain cells sitting in a server rack. You no longer need a sterile lab to experiment with biological computing—you just need a software subscription.

📌 These cells are not conscious.

To have sentience, self-awareness, or the capacity to suffer, a brain requires complex structures—like a prefrontal cortex, a limbic system, and sensory organs.

The CL1 system is just a microscopic, disorganized web of 200,000 neurons (for context, a human brain has about 86 billion). They do not know what DOOM is, they do not see demons, and they do not feel fear. They are simply biological circuits seeking electrical equilibrium.

We are at the very bleeding edge of a transition from simulating neural networks in silicon to utilizing actual neural networks in biology.

[Sahil Lavingia @shl]

gh is the new GitHub

[Naval @naval]

Vibe coding is the new product management.

Training and tuning models is the new coding.

[kartik sharma @slaplabs]

Peerlist - https://t.co/ONi587IEFB
Website - https://t.co/XMo0fckNjG

[kartik sharma @slaplabs]

Top 50 on Peerlist on my first launch! 🥳 Thanks for the support, everyone.

We’ve been shipping hard this week. New features are live: 🦾
- Download video assets (AI images, scripts, code) 📥
- Choose your caption position 📍
- Improved code examples in videos 💻

Proj. link 👇

[kartik sharma @slaplabs]

Try it out here - https://t.co/uTC2TQeVp4

[kartik sharma @slaplabs]

Short video generated by supavid explaining RAG in under 30s. Lemme know your thoughts or any feedback in the comments :)

[kartik sharma @slaplabs]

@upen946 Turn code, GitHub repo files, concepts into bite sized video explainers.
👉 Try it out here - https://t.co/uTC2TQeVp4

[kartik sharma @slaplabs]

Just tried minimax2.1 on claude code and it's not even close to opus. Not sure what the hype is. It hallucinated multiple times even after checking the docs. Cancelled the sub just after an hour of use!

[kartik sharma @slaplabs]

@nutrishalu Thank you :)

[kartik sharma @slaplabs]

🚀 Launching https://t.co/c9RdmkbvXc
Turn code, GitHub repos & tech ideas into short AI-powered video explainers 🎥
Built for devs, educators & creators.
👇 Link in comments
#AI #DevTools #BuildInPublic #Launch

[kartik sharma @slaplabs]

@alaymanguy Thanks :)

[kartik sharma @slaplabs]

@alaymanguy Nice work bro!

[kartik sharma @slaplabs]

👉https://t.co/XMo0fckNjG - Try it Free

[Shalu Sharma @nutrishalu]

This nutritionist eats pizza because she does workout 4X a week, walks 5k steps daily, focuses on healthy eating on regular days.

If you’re doing the same, you can also get a chance to enjoy this🌸