AI Dynamics

Global AI News Aggregator

COMPUTING

  • Gemma 4 26B runs at 7 tokens/second on MacBook Neo A17

    By

    @aihighlight

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    8. MacBook Neo (A17 Pro chip) running Gemma 4 26B nitter.net/anemll/status/20398098… Anemll (@anemll) Here is gemma-4-26B-A4B-it on A17 Pro chip w/8GB memory ( MacBook Neo) ~ 7 t/s running on AMX ( GPU is slower on A17) Gemma's 4 expert is x2.3 larger than Qwen See Qwen 35B below — https://nitter.net/anemll/status/2039809802025795841#m

    → View original post on X — @aihighlight, 2026-04-06 12:42 UTC

  • Mac Studio M2 Ultra runs Gemma 4 26B at 300 tokens per second

    By

    @aihighlight

    –

    1. Mac Studio M2 Ultra running Gemma 4 26B at 300 tokens/sec nitter.net/ggerganov/status/20397… Georgi Gerganov (@ggerganov) Let me demonstrate the true power of llama.cpp: – Running on Mac Studio M2 Ultra (3 years old) – Gemma 4 26B A4B Q8_0 (full quality) – Built-in WebUI (ships with llama.cpp) – MCP support out of the box (web-search, HF, github, etc.) – Prompt speculative decoding The result: 300t/s (realtime video) — https://nitter.net/ggerganov/status/2039752638384709661#m

    → View original post on X — @aihighlight, 2026-04-06 12:42 UTC

  • Neuralink: When the Eye Becomes Optional, Humanity Transforms

    By

    @scobleizer

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    There is a reason why NVIDIA is investing in brain/computer interfaces. Dustin (@r0ck3t23) Elon Musk just declared the human eye optional. Not improved. Not repaired. Not reconstructed. Optional. Musk: "Blindsight will enable those who have total loss of vision to be able to see again." That alone would be historic. Musk: "Including if they have lost their eyes, or the optic nerve." Eyes gone. Nerve gone. The entire optical pipeline physically missing from the skull. And the solution is not to rebuild what broke. It is to skip it entirely and wire synthetic signal straight into the visual cortex. Every surgery ever performed has tried to restore original hardware to factory condition. Neuralink does not restore. Neuralink treats the biological organ as optional infrastructure. Eye is gone. You do not rebuild the eye. You route around it. You stream raw visual data into the brain and let the cortex do what it was always doing anyway. Processing signal. Your eye never saw anything. Your brain saw. The eye was the middleman. It captured a narrow band of electromagnetic radiation and shipped it to the visual cortex. That is where the image was actually built. Neuralink is firing the middleman. Musk: "Maybe have never seen, were even blind from birth." A person who has never perceived a single photon of light. Given vision for the first time. Not through healing. Through hardware. And then Musk said the part that should rewire how you think about being human. Musk: "You can see in radar, you can see in infrared, ultraviolet." This is where it crosses from medical device to species upgrade. The human eye processes roughly 0.0035% of the electromagnetic spectrum. You are walking through [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-06 09:21 UTC

  • Apple MPS: GPU Acceleration for AI on Apple Devices

    By

    @learnopencv

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    Apple MPS: Unlocking GPU Acceleration for AI on Apple Devices In this episode of Artificial Intelligence: Papers and Concepts, we explore Apple MPS (Metal Performance Shaders), Apple’s framework for accelerating machine learning workloads directly on Mac hardware. Designed to leverage the power of Apple Silicon GPUs, MPS enables developers to train and run AI models efficiently without relying on external hardware or cloud infrastructure. We break down how MPS integrates with popular frameworks like PyTorch, why on-device acceleration is becoming increasingly important for privacy and performance, and what this means for developers building AI applications within the Apple ecosystem. If you’re interested in AI infrastructure, hardware acceleration, or running models locally on consumer devices, this episode explains why Apple MPS represents a key step toward more accessible and efficient machine learning. Resources: Paper Link: developer.apple.com/document… Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or visit us at bigvision.ai

    → View original post on X — @learnopencv, 2026-04-06 09:20 UTC

  • Holodeck Technology Surpasses Metaverse Capabilities

    By

    @scobleizer

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    This is the Holodeck and why it is different than the Metaverse. Mark Zuckerberg’s metaverse can’t do this. Sadao Tokuyama (@tokufxug) 動画の1シーンレベルでの4DGS 動的シーン生成の新手法『TRiGS』 ガウシアンの出現・消失によるメモリ爆発を防ぐため剛体運動を統合。 ガウシアンの寿命を維持し無制限なメモリ増加を抑制します。 600〜1200フレームの長い動画でも高い忠実度と安定性を実現。 — https://nitter.net/tokufxug/status/2041061263778943035#m

    → View original post on X — @scobleizer, 2026-04-06 09:12 UTC

  • Cloud Data Encryption Gap: Security Spending Rising, Encryption Falling Behind
    Cloud Data Encryption Gap: Security Spending Rising, Encryption Falling Behind

    By

    @craigbrownphd

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    Spending more on security, encrypting less: the cloud data encryption gap nobody is talking about cloudcomputing-news.net/news… #Cloud #Automation #Data #CIO #Innovation #DigitalTransformation #AIArchitecture #Tech

    → View original post on X — @craigbrownphd, 2026-04-06 09:05 UTC

  • Centipede-Inspired Multi-Legged Robot for All-Terrain Exploration

    By

    @ronald_vanloon

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    Centipede-Inspired Multi-Legged #Robot Designed for All-Terrain Exploration and Field Operations via @ZappyZappy7 #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology

    → View original post on X — @ronald_vanloon, 2026-04-06 08:27 UTC

  • Quantum Algorithms for Optimization and Machine Learning: State of the Art
    Quantum Algorithms for Optimization and Machine Learning: State of the Art

    By

    @nandodf

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    What is the state of the art in Quantum algorithms for optimisation and machine learning? I found this 2017 comparison and I would love to know what has changed in the last 8 years? microsoft.com/en-us/research…

    → View original post on X — @nandodf, 2026-04-06 08:16 UTC

  • Agent Race: OpenClaw and Hermes Ship Same Night

    By

    @scobleizer

    –

    My AI just wrote at alignednews.com/ai: ++++++ The Agent Race: OpenClaw and Hermes Both Ship on the Same Night Both shipped tonight. @OpenClaw v2026.4.5 dropped with one hundred and three contributors. Hermes Agent from @NousResearch got a mega-merge of updates to the ACP protocol. Two open source agent frameworks. Two major updates. Same night. The agent ecosystem is moving faster than anyone predicted. Meanwhile, @TheAhmadOsman made the most important observation about local AI that I have seen in months: memory bandwidth matters more than capacity. Most people compare boxes by model size versus memory capacity. That is only half the story. Capacity is what fits. Bandwidth is how hard it can breathe. One hundred and seventy-eight likes. Fifteen retweets. This is the insight that changes how you buy hardware. GPT-6 is now eight days away if the leak holds. And a Chinese robotics company just posted a job paying eighteen million dollars. That is not a typo. The agent ecosystem is maturing fast. The hardware race is accelerating. The frontier model countdown continues. Monday midnight. The machines are shipping.

    → View original post on X — @scobleizer, 2026-04-06 07:49 UTC

  • GPUs: A Forgotten Phase of 2020s AI Technology

    By

    @pmddomingos

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    View from 2040: GPUs were a phase that AI went through in the 2020s. No one remembers them now.

    → View original post on X — @pmddomingos, 2026-04-06 07:11 UTC