Satya Mallick @LearnOpenCV
CEO, https://t.co/CzUdJlxzJM. Course Director, https://t.co/O2Tz9vUOQ8 Entrepreneur. Ph.D. ( Computer Vision & Machine Learning ). Author: https://t.co/olraDEG5Ue YouTube.com/c/LearnOpenCV San Diego, CA Joined June 2008-
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Most VLMs predict bounding boxes one token at a time — X1, Y1, X2, Y2. But a box isn't text. It's geometry. NVIDIA's LocateAnything predicts the entire box as one atomic unit. Parallel Box Decoding > next-token prediction for spatial outputs. (Part 1 🧵) Breakdown 👇 learnopencv.com #ComputerVision #AI
📣 AMD is now an OpenCV 5 Launch Partner & Gold Sponsor! We're teaming up to bring first-class CPU + GPU acceleration to OpenCV 5, speeding up Vision AI pre- & post-processing across AMD Ryzen™, RDNA™ & ROCm™. Read more opencv.org/opencv-and-amd… #OpenCV #AMD #ComputerVision #AI
Instead of training a new model, what if you could just tell your AI what to look for? That's YOLOE-26 with text prompts. Hand it a list — Person, Helmet, Safety vest — get instance segmentation masks, not just boxes. Full tutorial: vist.ly/56iqy
An AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part. The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them independently and errors compound. That's the wall the next gen of clicking, navigating AI agents has to break. Full breakdown 👇 vist.ly/56dq3
Weak AI vs Strong AI, in one line: Weak AI recognizes the cat in the photo. Strong AI debates climate change with you. One is already transforming industries. The other could revolutionize everything we know. Full breakdown 👇 vist.ly/569tx #AI #AGI #MachineLearning
Euler went blind in 1771 at 64. He published 1 paper per week in 1775. After dying in 1783 he published 228 more papers. A third of all papers on math, mathematical physics & engineering mechanics in the latter part of the 18th century were his. If he was still being cited, his h-index would be around 850.
YOLOE-26 turns object detection into three ways of saying "find this": → Text prompt (name it) → Visual prompt (show it) → Prompt-free (let the model decide) Closed-set rigidity → open-vocabulary conversation. Tutorial + benchmarks: vist.ly/565gr
Object detection is shifting from "models that recognize fixed categories" to "models that understand concepts described in language." YOLOE delivers open-vocabulary detection at full YOLO speed — text module fused into the head, zero runtime overhead. Full tutorial + code: vist.ly/55v2b
Those are orthogonal concepts. - World models trained on highly diverse data become foundation models: their encoders can be used for a wide variety of downstream tasks. - "World" refers to two things: (1) predicting the evolution of a complex system or environment, (2) predicting the evolution of a system under control and its effect on the environment (action-conditioned world model) which is a necessary component of planning.
RF-DETR is now available in @huggingface transformers state of the art in both detection and segmentation, outperforming YOLO architectures - checkpoints: huggingface.co/Roboflow/models - demo: huggingface.co/spaces/hugging… - docs: huggingface.co/collections/me…
This robot's only job is to pretend it's your eyeball 👁️🤖 At Display Week 2026, Dr. Satya Mallick visits Gamma Scientific — the 6-axis robot AR/VR brands use to QA every headset before launch. 18+ tests in one rig: contrast, parallax, MTF, color gamut, eye box. The invisible layer behind every Vision Pro. #ARVR #DisplayWeek2026 #Metrology #GammaScientific #Robotics #VisionPro
A $99 hologram. With an AI agent living inside it. Dr. Satya Mallick meets Shawn Frayne (CEO, Looking Glass Factory) at Display Week 2026 for a hands-on with the Looking Glass Go + their new life-size Hololuminescent Display — SID 2026 Display of the Year. The future of display isn't a headset. 🧵 #LookingGlass #Hologram #AI #DisplayWeek2026 #LightField #SpatialComputing #Hololuminescent
MoE Training, Part 2 — in one tweet: You start with random weights. By chance, one expert is slightly better at legal questions. Router notices, sends more its way. It gets better. Snowballs. Same compounding loop that turns a slightly-talented 7-year-old into an IMO medalist. — Dr. Satya Mallick, CEO @ OpenCV vist.ly/55552
MoE Training, Part 1 — in one tweet: You do NOT assign "this expert handles medicine, this one handles law." You start with 9 random experts + a router. The router learns to pick 2–3 per question. Specialization emerges from data, not design. That's how Mixtral and DeepSeek scale. — Dr. Satya Mallick, CEO @ OpenCV vist.ly/54y4c
Almost the entire editorial board of the Journal of Approximation Theory just resigned after a dispute with the publisher. Almost. You can’t make this stuff up.
Detection: finds "a car." Grounding: finds the red car in the crowd of cars. Detection = fixed classes + bounding box (YOLO, RF-DETR). Grounding = free-form language → localization. The word "grounding" comes from cognitive scientist Stevan Harnad (1990) — mapping abstract symbols to physical reality. CV borrowed it in the 2010s. Full breakdown: vist.ly/54tih
One of the founding members of OpenAI joining Anthropic is like Steve Jobs joining Microsoft.
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.
Instruct vs thinking models, in one line: System 1 vs System 2 — with a 5–20x cost-and-speed gap. If the task doesn't need planning or multi-step reasoning, the thinking model isn't smarter. Just slower, pricier, and more likely to hallucinate. — Dr. Satya Mallick, CEO @ OpenCV vist.ly/54ngw
François Chollet @fchollet
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Bojan Tunguz @tunguz
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MIT CSAIL @MIT_CSAIL
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Gary Marcus @GaryMarcus
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Chris Albon @chrisalbon
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Open Robotics @OpenRoboticsOrg
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Sanyam Bhutani @bhutanisanyam1
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Murat Boyar @_mboyar_
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1.2M Followers 788 Following Professor at NYU & Executive Chairman at AMI Labs. Ex-Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
François Chollet @fchollet
693K Followers 826 Following Co-founder @ndea. Co-founder @arcprize. Creator of Keras and ARC-AGI. Author of 'Deep Learning with Python'.
Santiago @svpino
452K Followers 563 Following Computer scientist. I teach hard-core AI/ML Engineering at https://t.co/THCAAZcBMu. YouTube: https://t.co/pROi08OZYJ
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286K Followers 8K Following Founder and CEO @tabul_ai. Creator of @trainxgb. ML ex Nvidia. Data Scientist. Physicist. Catholic. Husband. Father. Stanford Alum. Memelord. e/xgb. AMDG.
Andrew Ng @AndrewYNg
1.6M Followers 1K Following Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
Kirk Borne @KirkDBorne
485K Followers 3K Following Advisor to startups. Freelancer. @LeadershipData founder. Global Speaker. Top #B2B influencer & social promoter #DataScience #AI #ML. PhD Astrophysics @Caltech
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1.4M Followers 279 Following The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: https://t.co/jUHQA27iBL
Jim Fan @DrJimFan
438K Followers 3K Following NVIDIA Director of Robotics & Distinguished Scientist. Co-Lead of GEAR lab. Solving Physical AGI, one motor at a time. Stanford Ph.D. OpenAI's 1st intern.
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313K Followers 7K Following 🇦🇺 Co-founder: @AnswerDotAI/@FastDotAI ; Prev: Professor@UQ; @kaggle founding president; founder @fastmail/@enlitic/… https://t.co/16UBFTX7mo
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ARC Prize @arcprize
38K Followers 187 Following A North Star for open AGI. Co-founders: @fchollet @mikeknoop. President: @gregkamradt. We're hiring mission-driven builders: https://t.co/GswTSnyCoJ






















