
cs & math @georgiatech ‘30 365 days of robot learning 43/365
Atlanta, GA
Joined January 2022
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Praneeth Samineni retweeted
Okay, here's one thing that's been bothering me after attending #CoRL2026. 🧵
To me, whether to work in a given area is such a personal choice, made by individual scientists depending on their research taste and idiosyncrasies.
The best part about science is that we don't have to agree!! I can think that Area or Problem X is not worth working on, and anyone can (and probably will) disagree with me and end up proving me wrong with evidence.
To me, science involves trying to achieve consensus on (ideally falsifiable) hypotheses *after* conducting research. Not before. Debates are very useful and necessary for this.
But perhaps we should think more carefully about claims like "Area X is not worth working on". I heard many of these being freely dispensed at this past week.
I feel that these subjective claims are nearly impossible to verify. More importantly, I worry that such sweeping claims may cause many junior researchers working in that very area to feel considerable distress.
Note that this is very different from lobbying for everyone to work on our pet problems by highlighting their motivations and potential impact. Such lobbying has long been a part of science, and will likely always be.
Maybe we can keep science weird and highly entropic! The very diversity of our idiosyncratic research agendas is what helps increase the odds that at least some of us will eventually identify a path to our ultimate destination — knowledge!
Jensen deserves due process, not whatever is happening right now. I signed.
#standwithjensen
Still hard to believe everything that's happened with Jensen.
After 33 years of building NVIDIA. I think he deserves a fair process, and we deserve the truth.
I signed this open letter to stand with Jensen. Hope you will too. 💚
standwithjensen.com
#StandWithJensen
Praneeth Samineni retweeted
BREAKING: Nvidia, $NVDA, CEO Jensen Huang has resigned as CEO, President, and member of the Board of Directors, effective immediately.
Praneeth Samineni retweeted
Introducing e-means, an algorithm beating k-means in 10x fewer epochs.
With order of magnitude wall-clock speedups, e-means is released in FAISS and needs no hyperparameter tuning beyond k. It is robust to various scales and datasets. Still skeptical ? Just try e-means [1/10]🧵
Praneeth Samineni retweeted
Introducing MESA: how well do robot policies generalize to new layouts, objects, and task compositions?
Benchmark four axes of generalization on single-arm and bimanual robots with only ~5-7K training demos each, plus a pipeline to generate your own tasks and data. 🦾
Praneeth Samineni retweeted
This is so tragic and heartbreaking. Please never change your medications’ dosage based on LLM advice.
schenklawfirm.com/wp-content…
Praneeth Samineni retweeted
Because anxiety is helping you play safe
Replying to @chrislakin
Ok what is the logic of my emotions screaming at me when I walk into a room that everybody is looking at me, they think I'm ugly, they think I'm stupid and not welcome there, every laugh I hear is specifically about me etc. It sure doesn't appear logical.
Praneeth Samineni retweeted
Dream-1 with the Maker and Metal Arm
This is the best combo to try out zero shot tasks!
Working with robots has always been harder than it should be.
The intelligence was hard to access. The hardware was hard to afford.
Today, both change.
@makermodsai Maker Arm + Metal Arm, powered by @dreamlabs_ai 's Dream-1. Give your robot a task in plain language, right from your browser.
Try it: playground.makermods.ai
Praneeth Samineni retweeted
We won 2nd place @ycombinator's Make Something Agents Want Hackathon in the @insforge track!
We built Cortex: Cursor for training robot arms autonomously. After facing the tedious process of training a policy from scratch at @HackMIT last month, we instantly got to work on finding a faster method. Cortex lets agents control the whole pipeline, from data collection to deployment.
Big thanks to my teamates @praneethsamine and @suhasdev23 for building with me. Also, thank you to @nemild, @hanghuang_, and @tonychang430 for organizing the hackathon and track.
Praneeth Samineni retweeted
This is a slide from Terence Tao's 'Math 2.0' public lecture yesterday evening at Caltech. I am highly confident that, if the cure actually worked, almost any Stage 4 cancer patient would tell you that human comprehension of its mechanism is completely irrelevant to them.
Praneeth Samineni retweeted
I think we'll see 5x the number of people become hardware and robotics founders over the next 18 months
Why? Because you can rent every step, from design to manufacturing:
DESIGN
- Astra to drive Blender, FreeCAD, and KiCad the way a person would, so you get editable geometry instead of a dead render. Zoo dot dev's text to CAD API if you want it programmatic.
- Or have Claude write build123d code, which is Python parametric CAD, and there's a Claude Code plugin that runs it and exports the STL for you.
PROTOTYPE
- Bambu A1 mini is $299, P1S around $399 on sale. Or skip owning one, JLC3DP prints and mails it for about $20. PCBWay does resin, SLS, and CNC if plastic won't cut it.
ELECTRONICS
- KiCad for the board, Astra can drive it. JLCPCB fabricates and assembles, often under $100 for a small run. ESP32 for wifi, Raspberry Pi if it needs a brain.
ANYTHING THAT MOVES
- Unitree sells a Go2 with a full SDK for about $2,500.
- Hugging Face put out a $399 open-source biped.
- LeRobot gives you the whole train in sim, deploy to real pipeline, and Physical Intelligence open-sourced π0 so you're fine-tuning instead of starting from zero.
- Prototype the policy in MuJoCo or Isaac Lab first.
MANUFACTURING
- Alibaba RFQ for the first 100 units. Check 1688 to see what the factory actually charges domestically, then negotiate. Pietra or Sourcify if you want someone to handle it.
FULFILLMENT AND SELLING
- ShipBob or Amazon FBA. Shopify for the store, TikTok Shop for distribution, Kickstarter if you want the money before you build it.
How to think about starting your own robotics or hardware company:
1. Pick a niche that's already buying weird gear. Cyclists, tabletop gamers, beekeepers, home baristas, dog people with mobility issues. These groups spend money on specific objects and complain in public about what doesn't exist. Or grab ideas off Ideabrowser.com
2. Go read the complaints. Reddit, IG etc Search "I wish someone made," "does anyone make," and "modified my." That last one is the best signal, because someone already hacked the product together and you're just manufacturing what they built by hand.
Also check Etsy!! If 3 sellers are doing a janky 3D printed version with 400 reviews each, the market is validated.
3. Make one. Describe it to Astra or Claude, get the CAD, print it in ugly gray PLA, use it, fix it.
4. Only go to Alibaba or similar once you've sold a few. Message 10 suppliers through RFQ, take the third cheapest, always pay the $50 for a sample before the real order.
5. Film everything from day 1. The first ugly print, the failed version, the box of 100 arriving. That's your entire marketing budget, and hardware is one of the few categories where people actually want to watch the thing get made.
6. Raise the price. Almost everyone here anchors on what the plastic cost. Your customer is comparing you to nothing, because the alternative is the product doesn't exist. Start at 5x COGS and go up.
THIS GOAL OF THIS POST IS JUST HERE TO GET YOUR CREATIVE JUICES FLOWING. Of course, you can build robotics/hardware in a bunch of different ways.
One thing I've learned is data couldn't be more important when you're building a hardware/robotics startups.
These models learn from first person video of a human doing the task, and that footage doesn't exist for almost any job.
So basically you pick one repetitive job people quit over, film someone doing it for 2 weeks, fine-tune π0 on that footage, use organic to sell the first few units and figure out scaling,
5 years ago you needed a factory, a supply chain, and a $1M just to find out if anyone wanted the thing.
Now, anyone can become a hardware/robitics founder.
And I suspect a lot of people will become one!
Vibe manufacturers.
I’ve genuinely never seen a model claim this low of a hallucination rate. This company was founded by Diogo Almeida, one of the researchers behind the instruction following work that led to ChatGPT, and instead of building an autoregressive chatbot that generates strings token by token, they basically throw string generation away entirely.
This model takes unstructured state in and spits out type safe probabilistic decisions in parallel, with their new RLCD training method calibrating how confident it should actually be.
And the results are kind of insane? On their workflow evals they’re claiming up to -194x faster and -445x cheaper.. while still competing with frontier models on these System One tasks. It’s also only $0.042 per million input tokens (4.2 cents) and output is literally free??
Obviously this isn’t a replacement for GPT-6/Astra style general reasoning it gives up free form generation to do this but for actual software automation? How is this not a much bigger deal?
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
Praneeth Samineni retweeted
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The reality is:
- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.
There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.
- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.
Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.
- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.
- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.
I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
Praneeth Samineni retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
Praneeth Samineni retweeted
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids.
- learned directly from human manipulation data
- no teleop/robot data
- close to human-level dexterity and efficiency
- multi-robot collab
Praneeth Samineni retweeted
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…































