Truman @h1ckok
MS AI student at UTSA Joined April 2016-
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 🤖Introducing 📺𝗢𝗽𝗲𝗻-𝗧𝗲𝗹𝗲𝗩𝗶𝘀𝗶𝗼𝗻: a web-based teleoperation software!  🌐Open source, cross-platform (VisionPro & Quest) with real-time stereo vision feedback.  🕹️Easy-to-use hand, wrist, head pose streaming. Code: github.com/OpenTeleVision…
> The researchers’ previous work suggested that high-frequency brain waves encode sensory information and that lower frequencies represent control signals. “We believe it’s literally the balance between your brain processing incoming sensory information and its control over that…
> The researchers’ previous work suggested that high-frequency brain waves encode sensory information and that lower frequencies represent control signals. “We believe it’s literally the balance between your brain processing incoming sensory information and its control over that…
This is apparently trending on Suno. AI has gone too far app.suno.ai/song/9cd7f8cc-…
This is the recipe to build robotics at scale. Own the end customer relationships, build the data engine, scale robots for your own margin improvements. It is our approach at sheeprobotics.ai
This is the recipe to build robotics at scale. Own the end customer relationships, build the data engine, scale robots for your own margin improvements. It is our approach at sheeprobotics.ai
@fcdl94 @_sholtodouglas But this subset is of fixed size. Recent papers tries to go away from this paradigm. The recent @deepseek_ai MoE (arxiv.org/abs/2401.06066) proposes a large always-activated generalist experts alongside many smaller specialist experts /...
While semantic and schematic memory is more efficient on average for task completion, the utility of *truly* episodic memory (especially the emotional utility) must not be underestimated
[RO] BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation arxiv.org/abs/2403.09227 - The paper presents BEHAVIOR-1K, a new benchmark for human-centered robotics comprising 1,000 everyday household activities grounded…
knowing what to do and actually doing are both critical, but it is a common mistake to value only one of them
This is true. Your body is what you eat. And your mind is what it’s prompted with. A loyal AI could sit in front and intercept much of this. Like anti-spam, but much smarter.
This is true. Your body is what you eat. And your mind is what it’s prompted with. A loyal AI could sit in front and intercept much of this. Like anti-spam, but much smarter.
YES. Thanks Andrej. To this date still, way Way WAY too many people doing DL are way Way WAY too careless. I think each small DL team needs at least two people who are obsessed with detail. But the team shouldn't be composed of solely such people either, or it'll go nowhere.
YES. Thanks Andrej. To this date still, way Way WAY too many people doing DL are way Way WAY too careless. I think each small DL team needs at least two people who are obsessed with detail. But the team shouldn't be composed of solely such people either, or it'll go nowhere.
[CL] Reliable, Adaptable, and Attributable Language Models with Retrieval A Asai, Z Zhong, D Chen, P W Koh, L Zettlemoyer, H Hajishirzi, W Yih [University of Washington & Princeton University] (2024) arxiv.org/abs/2403.03187 - Large language models still suffer from weaknesses…
@Grimezsz Not gonna happen. We are not just interested in things looking as pretty as you can make them, but in the output of your consciousness and heart. Art is not going to die before we lose interest in other human beings.
Animal-like robots are the future. Introducing Verdie, a physical agent for sustainable outdoor maintenance capable of learning multiple power tools. Verdie was trained in the @nvidia Isaac simulator for just 5 hours before string trimming lawns for the first time. Verdie…
Unveiling the next chapter in our quest towards the elusive theory of *all* neural networks: Categorical Deep Learning! 🐈🤖 categoricaldeeplearning.com See thread 🪡 for a bucket list 🪣 of concepts our framework can handle! w/ @bgavran3 P. Lessard @andrewdudzik @tlvg @_joaogui1
please bro just a little more information, i just need to acquire a little more information to develop a strong enough illusion of control, please just a little more
.@Figure_robot is raising $675M in a funding round at a $2B valuation. Notable Investments: Jeff Bezos: $100M Microsoft: $95M Amazon: $50M NVIDIA: $50M OpenAI: $5M Other backers include Intel, LG Group, Samsung, and ARK Invest.
[2/5] We show that training on data sampled by our method (Ask-LLM) outperforms training on the *entire dataset*—even when we reject 90% of the original dataset, while also converging up to 70% faster 🤯(don’t worry we compare with a lot of other samplers too)
With UMI, you can go to any home, any restaurant and start data collection within 2 minutes. With a diverse in-the-wild cup manipulation dataset, we can train a diffusion policy that generalizes to the top of a water fountain – clearly unseen environments and objects. 2/9
wtaf is going on today
Zara-rose Boom @boom_rose62688
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4 Followers 965 Following Follow me, maybe it's the beginning of our fate, we can talkUlises Robles @UlisesR03018343
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10K Followers 396 Following Recording the stories and values of individuals so that future generations can know their family history.Yunzhu Li @YunzhuLiYZ
4K Followers 451 Following Assistant Professor of Computer Science @ UIUC @UofIllinois @IllinoisCS, Postdoc from @Stanford @StanfordSVL, PhD from @MIT_CSAIL. #Vision #Robotics #Learning𝔊𝔴𝔢𝔯𝔫 @gwern
42K Followers 88 Following Internet besserwisser; pedantic, mean reply guy. 𝘞𝘢𝘵𝘢𝘴𝘩𝘪 𝘬𝘪𝘯𝘪𝘯𝘢𝘳𝘪𝘮𝘢𝘴𝘶! (Follow requests ignored due to terrible UI.)Alexander Koch @alexkoch_ai
5K Followers 203 Following Founder of Tau Robotics (@taurobots) | Z Fellow | Emergent Ventures Fellow 2024AGI House @agihouse_org
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3K Followers 138 Following Rerun is an open-source SDK for visualizing streams of multimodal data. ⭐ GitHub https://t.co/yf1KZN7DBI 👾 Discord https://t.co/7PIlvsZO9nAston Zhang @astonzhangAZ
5K Followers 92 Following Research Scientist at the #llama team of Meta Generative AI, designing and training large language models. Opinions are my own.Smug Doomposting Publ.. @Smug_editing
15K Followers 231 Following It will happen, and it will happen in our lifetimes.Aaditya Singh @Aaditya6284
447 Followers 247 Following PhD student at @GatsbyUCL working with @SaxeLab, @FelixHill84 on learning dynamics, ICL, concepts, LLMs. Prev. at: @GoogleDeepMind, @AIatMeta (LLaMa 3), @MITTri Dao @tri_dao
19K Followers 365 Following Incoming Asst. Prof @PrincetonCS, Chief Scientist @togethercompute. Machine learning & systems.Sayash Kapoor @sayashk
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809 Followers 712 Following Founder/CEO at @sheeprobotics - robot caretakers for our planet. Was co-founder/CTO @EmbraceInnov where i built tech that has saved 500,000 lives till date.Jade @Euclaise_
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5K Followers 429 Following When your splat are so on point, even the pixels are getting jealous | Sharing news around 3DGS progress and improvements | Mostly technical tweets and threadsCodiumAI @CodiumAI
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9K Followers 9 Following supercharge your LLM with the web's knowledge API → https://t.co/M5QuIA55d2 search engine → https://t.co/iqim6Mz5S3 discord → https://t.co/tzBhQZ0Jfc We're hiring | DM us!Trenton Bricken @TrentonBricken
7K Followers 2K Following Trying to figure out what makes minds and machines go "Beep Bop!" @AnthropicAIDan Roberts @danintheory
4K Followers 573 Following I studied gravity. AI fellow @sequoia + researcher @mit physics. Co-founded @diffeo, acquired by @salesforce. Co-author "The Principles of Deep Learning Theory”Kate Park @goldenkatepark
10K Followers 150 Following Director of Product @Scale_AI, Previously Staff AI Product Manager @Tesla Autopilot, @Palantir, @Uber, @Google, Stanford CSCharles Qi @charles_rqi
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4K Followers 196 Following CEO @RekaAILabs, Associate Professor @CSatUSCOxford Robotics Insti.. @oxfordrobots
6K Followers 519 Following The ORI is built from collaborating and integrated groups of researchers, engineers and students all driven to change what robots can do for usMarc Rigter @MarcRigter
653 Followers 530 Following Researcher at Microsoft Research; Previously: @oxfordrobots @a2i_oxford @GOALS_oxfordZsolt Kira @zsoltkira
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472 Followers 54 Following Well sir, if I could grow apples like that, I would call myself a gardener.Carlo Sferrazza @carlo_sferrazza
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56K Followers 4K Following open-sourceress at @huggingface 🧙🏻♀️ proud mediterrenean 🍋 I do TL;DR on ML papersA problem with algorithmic feeds is how much they distort our idea of popular opinion. We know only people with strong feelings post & that the algorithm hides moderate views. Add to that a system that shows you more of whatever outraged you, and soon you believe it is universal
[LG] Continual Learning of Large Language Models: A Comprehensive Survey arxiv.org/abs/2404.16789 - Large language models (LLMs) have shown promise for artificial general intelligence (AGI), but face challenges adapting to new data distributions, tasks, and users without…
Disney Research is doing really incredible robotics work
AI winter? No. Even if GPT-5 plateaus. Robotics hasn’t even started to scale yet. Embodied intelligence in the physical world will be a powerhouse for economic value. Friendly reminder to everyone that LLM is not all of AI. It is just one piece of a bigger puzzle.
Zuck on Dwarkesh TLDR: AI winter is here. Zuck is a realist, and believes progress will be incremental from here on. No AGI for you in 2025. 1) Zuck is essentially an real world growth pessimist. He thinks the bottlenecks start appearing soon for energy and they will be take…
# scheduling workloads to run on humans Some computational workloads in human organizations are best "run on a CPU": take one single, highly competent person and assign them a task to complete in a single-threaded fashion, without synchronization. Usually the best fit when…
Great thread on a new open-source VLM foundation model from huggingface. I like the focus on efficient encoding and inference; will be very useful for embodied applications!
We release and open source Idefics2-8B, a foundation vision language model with SOTA results for its size on various benchmarks Architecture, data, pre-training, fine-tuning: most important things are in the thread 🧵
It's been a wild ride. Just 20 of us, burning through thousands of H100s over the past months, we're glad to finally share this with the world! 💪 One of the goals we’ve had when starting Reka was to build cool innovative models at the frontier. Reaching GPT-4/Opus level was a…
Meet Reka Core, our best and most capable multimodal language model yet. 🔮 It’s been a busy few months training this model and we are glad to finally ship it! 💪 Core has a lot of capabilities, and one of them is understanding video --- let’s see what Core thinks of the 3 body…
> just slightly falling behind GPT-4-1106-preview… That's all very sensible and rigorous-looking, but I wonder how much of the improvement vs old GPT-4's in finetuning pipelines going forward can be attributed to just using stronger, newer GPTs.
As the natural world's human data becomes increasingly exhausted through LLM training, we believe that: the data carefully created by AI and the model step-by-step supervised by AI will be the sole path towards more powerful AI. Thus, we built a Fully AI powered Synthetic…
@teortaxesTex @Prince_Canuma Too long for a non verified tweet lol
To reach mastery requires some toughness and a constant connection to reality.
In a world in which many people are indecisive and overly cautious, the use of speed will bring you untold power.
Reka Edge: He Chomnk Reka Flash: A Heckin' Chonker Reka Core: HEFTYCHONK 😺😸😽😾🐱
I don't want to give away anyone's secrets but Google's chess playing LLM just shows you can make an LLM superhuman through imitation learning by using an RL Model to create a superhuman dataset. But, then we return to the question of how do you generalize RL so you can do this…
"True revolutionaries do not flaunt their radicalism. They cut their hair, put on suits and infiltrate the system from within." - Saul Alinsky
Why to Not Build a Startup: Being a founder is not for everyone. You trade stability for freedom, autonomy, and impact. But you hear "no" 99% of the time. Marc says the emotional rollercoaster can leave you feeling "completely ruined." Be sure you can handle the idea maze.
last night i had weird dreams about working on safe agi; we thought that we had a sound proof that capping inference at level 7 would be safe but discovered that level 7 agis can bootstrap themselves into level 21, and there are no safety theorems in this regime
i beg you brother. place your forehead on the ground. we are dirt
Id argue the importance of BRAIN is that we can do in a year in a large brain regions what those anatomists took decades to do in a small region The critical next step for BRAIN will be figuring out what that complexity offers. We need data-informed theory, not just more data...
Very excited to announce: Keypoint Action Tokens! We found that LLMs can be repurposed as "imitation learning engines" for robots, by representing both observations & actions as 3D keypoints, and feeding into an LLM for in-context learning. See: robot-learning.uk/keypoint-actio… More 👇