#Data Sovereignty For Multi-Agentic #AI: Local Intelligence, Global Insight
by Jayashree Arunkumar @Forbes Learn more: https://
bit.ly/4sMsE8W #DataScience #BigData #ArtificialIntelligence
RESEARCH
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Data Sovereignty in Multi-Agentic AI Systems and Local Intelligence
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Autocorrelated Time Series Can Appear Structured Despite Being Random
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Ok, this thread has apparently been a magnet for hordes drooling morons who not only don't get stats, but can't even read. If you're a normally intelligent reader of this tweet, here's an extra example of my point: If you take two RANDOM, INDEPENDENT timeseries (i.e. knowing one gives you NO information about the other) that are each highly temporally autocorrelated (e.g. two random walks), and you plot one against the other as a scatter plot, what you get is a single X/Y trajectory that will ALWAYS look very structured. Yet it is random. Like the figure below. Code to reproduce the figure and play around with this idea: colab.research.google.com/dr… Of course if the two series happen to be correlated, then you will ALSO see something very structured. It's just that this type of visualization is a completely retarded way to look at such data. If you think this is deep, you are innumerate.
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Radioactivity to Atomic Bomb: Science Through Symbolic Compression
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Science went from the initial observation of radioactivity to a working atom bomb over 47 years via only about 9 distinct key experiments — extremely few data points — and symbolic models concise enough they would fit on a single page. This is what extreme generalization looks like, and it powered entirely by symbolic compression. Turn a handful of data points (deliberately collected) into a tractable plan to completely reshape reality, by reverse-engineering the causal symbolic rules behind the data.
→ View original post on X — @ceobillionaire, 2026-04-05 16:20 UTC
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How to Design a Neural Network
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How to Design a Neural Network
→ View original post on X — @deeplearn007, 2026-04-05 16:20 UTC
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Why Physicists Dominate AI Leadership and Research
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Why are there so many physicists in AI?
— No Priors (@NoPriorsPod) 5 avril 2026
Anthropic's Dario Amodei, Google's Adam Brown, ChatGPT's Liam Fedus: all physicists, all at the frontier of AI.
ChatGPT co-creator @LiamFedus has a theory. https://t.co/lpD0oys2uF pic.twitter.com/90TeZ4vEaFWhy are there so many physicists in AI? Anthropic's Dario Amodei, Google's Adam Brown, ChatGPT's Liam Fedus: all physicists, all at the frontier of AI. ChatGPT co-creator @LiamFedus has a theory. Elad Gil (@eladgil) AI Foundation Model for Atoms- w/ @LiamFedus, CEO @periodiclabs, prior VP Post Training OpenAI — https://nitter.net/eladgil/status/2040143108852297991#m
→ View original post on X — @ceobillionaire, 2026-04-05 16:12 UTC
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Fine-tuning Gemma on TPU v5 with Kinetic, Keras and JAX
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Tutorial on fine tuning Gemma on TPU v5 using Kinetic + Keras + JAX. Easiest stack to fully leverage TPUs at scale. Jigyasa Grover ✨ (@jigyasa_grover) Here is a quick start script including the setup, technical details, and a candid look at where Kinetic excels versus its current limitations 🪡 github.com/jigyasa-grover/ki… — https://nitter.net/jigyasa_grover/status/2038707745520812099#m
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Gemma-4-21B-REAP Released with Improved Reasoning Performance
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As promised! Gemma-4-21B-REAP is out! Results are great it held up really well and actually gained accuracy on reasoning tasks. MLX & GGUF bros do you thing! This should fit on as little as 12GB of vram with some context, or 16GB with full context huggingface.co/0xSero/gemma-…
→ View original post on X — @deeplearn007, 2026-04-05 16:02 UTC
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Neuromorphic Computing Patents Surge 401% in 2025
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patsnap.com/resources/blog/articles/neuromorphic-computing-chip-patents-surge-401-in-2025/ [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-05 15:33 UTC
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Neuromorphic Computing Becomes Commercial Reality in 2026
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"Neuromorphic computing has crossed from academic prototype to commercial product, with 596 patents filed through early 2026 and a 401% surge in activity in 2025 alone." I love it. [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-05 15:33 UTC
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Google DeepMind Announced as Presenting Sponsor of AIE Europe
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always wanted to do one of those “is it coachella” announcements – here is our designer’s take on it! AI Engineer (@aiDotEngineer) 🇬🇧 London is the birthplace of @GoogleDeepMind, and we're so honored to have them back as: Presenting Sponsors of this week's AIE Europe! DeepMind has pushed the AI frontier on every modality — from Gemini 3.1, to Embeddings 2, to Veo 3, to @NanoBanana Pro, and last far from least Gemma 4, byte for byte the most capable multimodal models in the world! Meet the team to catch up on everything GDM has shipped for AI Engineers in the past few months – from our keynoters Dr @RaiaHadsell (VP of Research and UK AI Ambassador) and @osanseviero (Lead AI DX), to returning speakers @DynamicWebPaige and @thorwebdev and @_philschmid, to researchers and engineers working on those exact products @sedielem, @tara_ojo, @FMuntenescu and more! — https://nitter.net/aiDotEngineer/status/2040806678849884422#m