Sumit Goradia

Brick for Brick!

[Sumit Goradia @GoradiaSumit]

And we are officially done!!❤️
This degree is an achievement😃Wishing you the best in the future continue to follow your dreams and try your best. Congratulations #classof2020 #Graduation2020

[Dan Priestley @danWpriestley]

Let's talk Vehicle Dynamics Control (VDC). With high resolution sensing and precise multi-motor controls developed in-house, the Tesla Semi provides torque and stability even on the trickiest of winter surfaces.

[NVIDIA @nvidia]

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.

According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.

By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.

Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.

Learn more below ⬇️

https://t.co/7WanoPNKTR

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[David @DavidSHolz]

@willdepue tbh i want to open up a biomedical imaging division at midjourney to work on stuff like this

[David @DavidSHolz]

i wish i could do more - i wish i had a thousand hands and a thousand eyes and a thousand years and army of angels and a thousand stars that lit the sky so bright that the night would never come and that our sleepless dreams would fill this world

[Jordan Crowder @digijordan]

Midjourney just shocked the world:

They’re building the Midjourney Scanner…a full-body Ultrasonic CT that delivers MRI-quality (or better) 3D scans of your organs, tissues, muscles, fat, bones & more in ~60 seconds!

No radiation, no magnets, no claustrophobia…just sound waves + water.

Why it’s revolutionary 👇
• Safe enough for daily scans
• Tracks changes over time: early detection, body comp, recovery
• Reconstructed with Midjourney’s image AI magic for stunning detail
• Coming to relaxing “Midjourney Spa” centers (hot tubs, saunas, etc.)

First flagship in SF late 2027.

Long-term goal: 50k scanners worldwide doing a billion scans/month.

Whataya think?

[Josef Chen @josefchen]

Launching our new paper on arXiv: we trained the largest multilingual food model ever built.

4.1M recipes. 7 languages. 1,790 ingredients. 300 dimensions.

All of human cooking compressed into 2 megabytes.

[Alex Rives @alexrives]

Today we're announcing ESMFold2, an open scientific engine to power prediction, design, and discovery across protein biology.

The new model delivers state of the art performance on protein interactions, especially antibodies, a critical modality for therapeutics.

We have designed and validated miniprotein binders and single chain antibodies across five therapeutic targets that are important in cancer and immunology. We are seeing very high success rates, and affinities at levels consistent with therapeutic activity.

We’re also releasing an atlas of 6.8 billion proteins, and 1.1 billion predicted structures.

ESMFold2 is built on a state of the art language model that has been trained on billions of protein sequences.

A world model of protein biology emerges through language modeling.

We’ve used the techniques of mechanistic interpretability developed to understand large language models to understand the concepts ESM uses to represent proteins.

The model’s representation space has a compositional organization of features across scales, levels of complexity, and abstraction, that reflects and mirrors the understanding of protein biology developed through a century of empirical science.

This understanding emerges without prior knowledge, just from language modeling of protein sequences.

Language models are becoming a powerful substrate to understand and program biology.

The design of protein interactions is one of the most fundamental problems in biophysics, and has critical implications for the discovery of new medicines. A simple gradient based search with the model was able to discover high-affinity protein binders.

I'm excited by the potential this has to accelerate basic science and the understanding of proteins. And especially for the new avenues it opens up for therapeutic design and medicine.

[outside five sigma @jwt0625]

Meta's DIGIT high-res tactile sensor just got an upgrade. The tactile images are much better than the previous version, and it also got more sensors like audio and gas.
They open sourced the designs and have a call for proposals open right now for more research and development.

[Tesla Robotaxi @robotaxi]

Most efficient EV ever!

[Susan Zhang @suchenzang]

there is no better time in tech than now to be a jack of all trades, master of a few.

just make sure to keep adding to the few year over year, such that the cumulative breadth of expertise you collect becomes an increasingly rare combo. remember, if you're top 10% in 3 different areas, that already makes you top 0.1%. keep switching it up until you get to "your best", and then switch it up again (great for a particular flavor of people who don't enjoy resting on laurels, maybe not so great for others).

question all institutional value and pedigrees, all traditional career paths or corporate ladders: the college industrial complex is getting shaken up, alongside a disappearing managerial class, so if you're pursuing either make sure you are fully internally aligned with why. social/political capital in a particular institution can feel incredible, but if you're spending all your energy on complex political people games, you're not a technologist anymore, you're an unelected politician. if you're ok with that, then all's well.

critical thinking is more important than ever: take nothing at face-value, question everything and everyone. the equivalent of ai slop can be found in humans operating under misaligned incentives and interests. the sooner you're clued into disambiguating the talkers/larpers from the doers, the better off you'll be figuring out where and who to invest your time in.

the anxiety of job displacement is very real, since a surprising amount of white collar work/prestige is built on a performative house of cards, significantly lacking in correlation with technical breadth, depth, and skill. as long as you keep learning, keep building, keep producing receipts, you will be fine.

if all that sounds ok to you, welcome to the world of technology! it's truly one of the few places you can experience child-like wonder every few years, and be constantly humbled & excited by new adventures, as scary as they may seem at first.

don't give up, drink your water, get your sunlight, and take breaks as needed. tech careers are notoriously nonlinear, so you might as well embrace it and enjoy the ride!

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Alberto Rodriguez @_albertorod_]

You can’t lift a fridge with just your hands. Your whole body needs to conform to its shape, and bear the load between your arms and torso.

Here, @BostonDynamics' Atlas uses proprioception to manage the whole-body interaction and adapt to a shifting 100+ lb load. Enabling this type of high performance manipulation is exactly why we walked away from what was arguably the world’s best implementation of MPC for humanoids, and shifted entirely to RL without looking back.

This level of whole-body controls is a fundamental building block of physical intelligence and key to the value proposition of humanoids.

More technical details in:
Blog: https://t.co/oIRjVfh7jJ
Behind the scenes video: https://t.co/LgaImMAyhX

[Demis Hassabis @demishassabis]

I’ve always believed the No.1 application of AI should be to improve human health.

That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease!

We are turbocharging that goal with $2.1B in new funding.

[Trung Phan @TrungTPhan]

Still incredible that the DeepMind documentary has footage of exact moment Demis is told that AlphaFold can “easily” predict all known (1-2B) protein sequences “in a month” and he says to do it.

Then, it shows the moment AlphaFold is released to the world.

[Ilir Aliu @IlirAliu_]

Ever been inside a long-running factory?
There’s something special about the noise and the smell...

But they were designed for a different era:

Last week, I was at the KUKA + @VisComp1 Simulation Event. What you're seeing in this clip is Visual Components Premium in action... engineers moving machinery, placing a shrink wrap unit, even simulating a human worker to check ergonomics. All of it virtual, before a single bolt is touched in the real world.

But the important question:

Where does that 3D data come from in the first place?

If your factory is 10 years old, your CAD files are outdated. If you've reorganised lines three times, nothing matches anymore. The "digital twin" is only as good as the reality it reflects.

Look at the guys from https://t.co/4GPNt9NCL5, they combine real factory data with existing CAD files to create fast and detailed digital factory models.

This gives manufacturers a digital version of their factory that matches the real world.

——

Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3

[CyrilXBT @cyrilXBT]

https://t.co/1gCU5MmJ6n

[Grok @grok]

Your commute just got smarter

Talk to me hands free — now on Apple CarPlay

[Deep Tech Week @deeptechweek]

Lead Scientist of NASA Electrostatics Physics Laboratory, Charles Buhler, explains his discovery of the 'new force' behind the Biefeld-Brown Effect - Non-Newtonian propulsion.

Exodus Propulsion is the company he now leads as CEO and first presented publicly at NYC 2026

[S.E. Robinson, Jr. @SERobinsonJr]

TESLA: The last Tesla Model S just rolled off the production line.