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Confs: 2nd International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security: Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performanceโฆ https://t.co/Qx4ZMhw0Dw https://t.co/ePbqCMr2Sk

Unitree Debuts the Worldโs First Humanoid Robot โApp Storeโ๐ฅฐ Unitree welcomes users and developers worldwide to co-develop and share together. ๐น๐น Exceptional developers will receive rewards.๐น๐น https://t.co/dbn2SNziJY
Most incredible sushi I have ever had and I have had it all over the world. Thanks @Quantum8AI for an incredible dinner. Sushi Sato in San Francisco. https://t.co/WVQYafUdRT

๐จNEW VIDEO ALERT๐จ Today On NATIVE, weโre taking you to the exclusive listening party of @temsbaby โs โBorn In The Wildโ ๐ฌโจ https://t.co/guWOYqSYfH
Sure :3 #tessaelliot #murderdrones #MDswappedAU #doodle https://t.co/O3zAHnJiYg
@NanaraUwU GORGEOUS I WANT TO PINCH THEM

Here is the Deep Think "Sparks unicorn" (This is created using TikZ, which is a language built for scientific diagrams & very much not for drawing. The original "Sparks of AGI" paper used the ability of the AI to draw a primitive unicorn as an example of unexpected AI abilities) https://t.co/73IeOSdi2Q

A nice lateral thinking addition to the Sparks unicorn. Ask Opus 4.5 to make a TikZ unicorn, and it not only draws the unicorn in TikZ, but then compiles it in LaTeX, turns that into a PDF, turns the PDF into a PNG and then gives me the PNG image. Also cute little hearts & stars https://t.co/oqlz0b6ifL
Here is the Deep Think "Sparks unicorn" (This is created using TikZ, which is a language built for scientific diagrams & very much not for drawing. The original "Sparks of AGI" paper used the ability of the AI to draw a primitive unicorn as an example of unexpected AI abilit

Tip for the Google Gemini team: if you want to help Google truly get ahead in the AI era, use your hefty influence to get it so setting up API access to your own calendar doesn't involve THESE steps https://t.co/KK5DEwv82B
Need a Google Calendar CLI that works well with agents? Here you go: https://t.co/90hrDrH7iI
Agentic security is a conflict: You are handling non-deterministic outputs in a deterministic execution environment. To balance capability with safety in GitHub Copilot, we enforce three architectural principles: โข Maximize interpretability โข Minimize autonomy (Principle of Least Privilege) โข Reduce anomalous behavior Take a deep dive into our threat model for hosted agents. โฌ๏ธ https://t.co/KUrz1ym5RB
I migrated cursorโ.com from a CMS to raw code and Markdown. I had estimated it would take a few weeks, but was able to finish the migration in three days with $260 in tokens and hundreds of agents. Here's how I did it + all my my usage stats. https://t.co/QIAOmLsffx
ChatGPT 5.2: "Build an interactive Excel spreadsheet where I can pick two D&D monsters to fight against each other and the spreadsheet simulates the combat somehow, including special abilities. Give a D&D look" Thinking took 60 minutes(!) & had to have it fix an error, but cool https://t.co/1INhw0IJym

Claude 4.5 Opus followed the same instructions very quickly, and with style, but simplified the problem to avoid using actual special abilities or status, just straight up rolls for damage https://t.co/HvtmSaTTeL

Gemini 3 Pro. I really hope they add consistent ability to work with or download files. https://t.co/MGz7YJlfWc

Worries in the dance. https://t.co/kRj98WLGVH
@nada667284 ูุณูุนุฏ ู ูุณูุขู ุจูููู ุฎ ููุฑ ๐บ๐๐ธ ุขุฎ ูุชู ูุฏู ๐ฆ๐ง๐ https://t.co/fGoXLRMRmj

๐จ ยซย ๐ฌ๐๐๐๐ก๐ ๐๐๐๐ ๐ ๐ฬ๐ง๐ฬ ๐ง๐ฅ๐ฬ๐ฆ ๐๐๐ฆ๐, ๐๐ข๐ก๐ง๐ฅ๐๐๐ฅ๐๐ ๐๐ก๐ง ๐ฬ ๐โ๐๐จ๐ง๐ฅ๐๐ฆ ๐๐ข๐จ๐๐จ๐ฅ๐ฆ, ๐๐ข๐ ๐ ๐ ๐๐๐๐ฅ๐๐.ย ๐ซ๐ท๐ฉ๐ฟย ยป Lโavis cash de Marouane Chamakh ๐ฒ๐ฆ sur les binationaux : ยซย Les binationaux ? ๐๐ ๐๐๐จ๐ง ๐๐ง๐ฅ๐ ๐๐ฅ๐๐ก๐, ne pas jouer avec deux nations, deux peuples (โฆ) Yacine Adli ๐ซ๐ท a รฉtรฉ trรจs cash, ๐ฐ๐ผ๐ป๐๐ฟ๐ฎ๐ถ๐ฟ๐ฒ๐บ๐ฒ๐ป๐ ๐ฎฬ ๐ฑโ๐ฎ๐๐๐ฟ๐ฒ๐ ๐ท๐ผ๐๐ฒ๐๐ฟ๐ ๐ฐ๐ผ๐บ๐บ๐ฒ ๐นโ๐ถ๐ป๐๐ฒ๐ฟ๐ป๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ณ๐ฟ๐ฎ๐ป๐ฐฬง๐ฎ๐ถ๐ ๐พ๐๐ถ ๐ฒ๐๐ ๐ฎฬ ๐ ๐ฎ๐ป๐ฐ๐ต๐ฒ๐๐๐ฒ๐ฟ ๐๐ถ๐๐ (Cherki), ou dโautres qui laissent planer le doute. Il (Adli) sโest peut-รชtre fait lyncher mais il a รฉtรฉ clair et net. ๐๐น ๐ปโ๐ฎ ๐ฝ๐ฎ๐ ๐ท๐ผ๐๐ฒฬ ๐ฑ๐ฒ ๐ฑ๐ผ๐๐ฏ๐น๐ฒ ๐ท๐ฒ๐, ๐ฝ๐ฒ๐๐-๐ฒฬ๐๐ฟ๐ฒ ๐พ๐โ๐ถ๐น ๐ฟ๐ฒ๐๐ถ๐ฒ๐ป๐ฑ๐ฟ๐ฎ ๐๐๐ฟ ๐๐ฎ ๐ฑ๐ฒฬ๐ฐ๐ถ๐๐ถ๐ผ๐ป, ๐บ๐ฎ๐ถ๐ ๐ฑ๐ฒฬ๐ ๐น๐ฒ ๐ฑ๐ฒฬ๐ฝ๐ฎ๐ฟ๐ ๐ถ๐น ๐ปโ๐ฎ ๐ฝ๐ฎ๐ ๐ท๐ผ๐๐ฒฬ ๐๐๐ฟ ๐ฐฬง๐ฎ.ย ยป (@Kampo_officiel)

what if you never stop training? Olmo 3.1 32B Think & Instruct out now! https://t.co/raYPRuIeon
Remember always listen to Karpathy https://t.co/qJwTpoesJh
what if you never stop training? Olmo 3.1 32B Think & Instruct out now! https://t.co/raYPRuIeon

So excited to finally talk about this work! Veo is a surprisingly strong world simulator. We fine-tuned Veo on action-conditioned, multi-view robotics data. Key result: running a policy in the world model is strongly correlated with real-world results. A few important take-aways: 1) Veo Robotics models real-world physics and robot interactions 2) The base model's world knowledge is retained after fine-tuning and can model OOD scenarios not seen in the robotics data 3) The world model can be used to score task success or failure for a given policy 4) This proves useful for predictive red teaming: simulate dangerous or rare scenarios that would be difficult or irresponsible to execute on the real robot, and judge its performance I couldn't be more excited about where generalist video models are headed.
Generalist robots need a generalist evaluator. But how do you test safety without breaking things? ๐ฅ ๐ Introducing our new work from @GoogleDeepMind: Evaluating Gemini Robotics Policies in a Veo World Simulator https://t.co/ZjvpYXFddZ ๐งต๐ https://t.co/h2ZbeEKYEn
Hanging out with hyper smart young people today (14-year-old @albysjourney and 20-year-old @blevlabs). I got the feeling his dad was like me. Struggling to keep up. San Francisco AI entrepreneurial learning day. This city is so crazy. Now out to dinner with an investor. Oh and both Tesla and Waymo rides are booked so had to take an Uber.
This is the new SpaceX ISS Docking Simulator game added in Teslaโs 2025 Holiday Update. Its the actual interface used by NASA Astronauts to manually pilot the SpaceX Dragon 2 vehicle to the International Space Station. https://t.co/8z0ZpqN6TY
Who's playing the @SpaceX Docking Simulator? https://t.co/m9Db0Bt8o7
Better than Black ๐ฐ In this clip from the upper stage of one of this weekโs Starlink launches, you can see the stack of sats and then a very shiny mirror that reflects the upper stage spinning away over Earth. So much cool engineering visible here: https://t.co/M0gYV0m2oR The first Starlink sats were black to avoid being visible at dawn and dusk (when the sun still illuminates them at high altitude, but people on the ground are in the dark). But black absorption heats up the satellites and is ~ 96% effective at absorbing light. Whatโs better? A near perfect mirror that reflects sunlight away from the satellite and from Earth, making the flat phased array antenna panels that always face Earth nearly invisible (reflecting over 99.9% of light). The core of the film is a Bragg mirror, a dielectric mirror film which includes many super thin layers of plastic with different refractive indices that create interference patterns internally to reflect light, but allow radio waves to pass through unimpeded. Phased array antennae are themselves amazing, a 2D grid of transceivers that collectively steer microwave beams to the Starlink terminals below, with no moving parts. You can also see one of my favorite engineering innovations SpaceX, developed with an integrated perspective on satellite and rocket design. At the end of the video, you see the upper stage of the Falcon 9 rocket spinning away. Prior to release of the stack of satellites, the entire upper stage goes into a slow spin. Then it pops a couple retention latches, and the stack of 27 satellites splay out like a deck of cards, each with a slightly different angular momentum given the distances from the centroid of spin. This tiny difference in velocity for each satellite gives them a greater separation over time as they orbit Earth. No springs needed; the whole system sets up the deployment dynamics in an elegant, minimalist manner. And this early phase is when they look like a string of pearls, still close together, and visible at dawn or dusk before they get the highly reflective surfaces rotated into proper position. At the top and bottom at 13 seconds in, you can see the two retention bars that hold the stack of sats in place during launch. Thatโs very little wasted weight versus a typical ESPA bus holding a bunch of satellites on a central metal cylinder as you see in Transporter missions.
Deployment of 27 @Starlink satellites confirmed https://t.co/3ZNICuEjIO
Why Ursula von der Leyen Isnโt Elected https://t.co/rL2lJ1Zopr
My Native DAM ๐ Good morning to All ๐ https://t.co/f2wY6PvxA7
The data is from a "paper" hosted on the author 90s ass loking webpage and revieved by the extremely Well regarded reasearcher .... Some anonymous guy from Hongkong that only ever reviewied this one "paper". A random post on twitter ia a better source lmao. https://t.co/lW5C2JNsst

Is that paper you are reading trustworthy, #neoTwitter? Safeguarding the integrity of scientific literature in the 21st century @Ped_Research https://t.co/ERtQXVZhH3 @EBNEO @ESPR_ESN @nicupodcast https://t.co/oNCMw1D5f2

Paper: https://t.co/zu0BCFH67C Code: https://t.co/ljZTA90IJ8 Model: https://t.co/tEfsyrkkAM Website: https://t.co/cTf5c5CigY #AI #LLM #Reasoning 11/

An accompanying News & Views by Bart Ghesquiere for this paper is now available! @VIBMetaboCoreLV https://t.co/jM2ljSwiB9 ๐https://t.co/KKGUGlCJTZ
๐ AI Native Daily Paper Digest - 2025-12-11๐ Follow @AINativeF for the latest insights on AI Native. Covering AI research papers from Hugging Face, featured in the image. ๐ก Stay updated with the latest research trends and dive deep into the future of AI! ๐ #AI #HuggingFace #AIPaper #AINative #AINF โ Appendix: Today's AI research papers โ 1. StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation 2. BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain 3. Composing Concepts from Images and Videos via Concept-prompt Binding 4. OmniPSD: Layered PSD Generation with Diffusion Transformer 5. InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models 6. HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models 7. Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules 8. EtCon: Edit-then-Consolidate for Reliable Knowledge Editing 9. Rethinking Chain-of-Thought Reasoning for Videos 10. WonderZoom: Multi-Scale 3D World Generation 11. UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving 12. Towards a Science of Scaling Agent Systems 13. Learning Unmasking Policies for Diffusion Language Models
2022ๅนดๆซใฎChatGPTใฎใชใชใผในๅพ๏ผๅปๅญฆๆ็ฎใซใใใฆ็นๅฎใฎๅ่ชใ่ชๅฅใฎไฝฟ็จ้ ปๅบฆใๅขๅ ใใฆใใ๏ผใใใ๏ผใใใใฎ็จ่ชใฎไฝฟ็จใฏ2022ๅนดไปฅๅใใๅขๅ ๅพๅใซใใ๏ผLLMใฎๅบ็พใๆขๅญใฎๅพๅใๅขๅน ใใใๅฏ่ฝๆงใ็คบๅใใใ๏ผ2750ไธไปถใฎๆง้ ๅๆ็ฎใฌใใฅใผใซใใ่ชๅฝๅๆ็ ็ฉถ Perspect Med Educ 2025 Dec.2 https://t.co/FvvRTCSYdX
๐ AI Native Daily Paper Digest - 2025-12-12๐ Follow @AINativeF for the latest insights on AI Native. Covering AI research papers from Hugging Face, featured in the image. ๐ก Stay updated with the latest research trends and dive deep into the future of AI! ๐ #AI #HuggingFace #AIPaper #AINative #AINF โ Appendix: Today's AI research papers โ 1. T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground 2. Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving 3. Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation 4. OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification 5. Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning 6. MoCapAnything: Unified 3D Motion Capture for Arbitrary Skeletons from Monocular Videos 7. BEAVER: An Efficient Deterministic LLM Verifier 8. From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models 9. VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction 10. Thinking with Images via Self-Calling Agent 11. Evaluating Gemini Robotics Policies in a Veo World Simulator 12. StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space 13. Stronger Normalization-Free Transformers
@IsBeVerse Thatโs a retweet dumbass. I donโt know what RN Savior act youโre talking about but I do know that now youโre trying to be the savior when just the other day you were telling us how much you hate indigenous people. https://t.co/xQfWOuTApp
