How #AgenticAI work
by @genamind #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
LLMS
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How Agentic AI Works: Understanding Intelligent Agent Systems
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NVIDIA Nemotron 3 Nano Omni: 30B Multimodal Open Model
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🆕 @NVIDIAAI drops Nemotron 3 Nano Omni: Open 30B multimodal beast for text/images/video/audio! 256K ctx, 9x throughput, crushes docs/GUI/video ASR. Agentic AI game-changer.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 29 avril 2026
Try it: https://t.co/rx8uMXquxk & HF ckpts.… pic.twitter.com/yrnzfIvQ0f@NVIDIAAI drops Nemotron 3 Nano Omni: Open 30B multimodal beast for text/images/video/audio! 256K ctx, 9x throughput, crushes docs/GUI/video ASR. Agentic AI game-changer. Try it: https://
fal.ai/nemotron & HF ckpts. -
Anthropic’s Hidden 30% Cost Increase via Tokenizer Change
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Turns out Anthropic basically snuck in a 30% cost increase by changing the tokenizer
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Poolside AI Launches Laguna XS.2 and Laguna M.1 Models
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Some more amazing models launched today! Congrats to @poolsideai on the release of Laguna XS.2 and Laguna M.1
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AI Agentic Coding Capabilities Deemed Too Dangerous for Public Release
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depends on the framing. do i believe that mythos had strong enough agentic coding capabilities that a non-technical user could get past the average level of security across common sites and apps? yeah. is that too dangerous to release for general consumption? actually, probably
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Simplifying Agent Orchestration Converges on BabyAGI Architecture
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this is a great read on thinking through how to simplify agent orchestration to it’s core interestingly converges on an architecture very similar to babyagi 2, which stored functions (agent tools) in a db with input/output/dependencies/keys, and the started agent could crud+exec
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Claude Opus 47 Context Worlds: Hosted Generations on GitHub
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Hosted generations: https://
petergpt.github.io/claude-opus-47
-context-worlds/
… GitHub: https://
github.com/petergpt/claud
e-opus-47-context-worlds
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Opus 4.7 Context Window: 400k vs 1m Performance Analysis
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Opus 4.7 – 400k vs 1m context – is there a difference?
— Peter Gostev (@petergostev) 28 avril 2026
I've heard @theo talk about the fact that it is unlikely that Anthropic would have offered up a model with 1m context at the same cost, if it wasn't a different (i.e. cheaper to serve) model.
I did a test where I toggled… pic.twitter.com/tQC4Tn17elOpus 4.7 – 400k vs 1m context – is there a difference? I've heard @theo talk about the fact that it is unlikely that Anthropic would have offered up a model with 1m context at the same cost, if it wasn't a different (i.e. cheaper to serve) model. I did a test where I toggled
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Sigma: Private AI Browser Running Agents Locally
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Sigma: A fully private AI browser that runs agents locally on your machine.
— Chubby♨️ (@kimmonismus) 28 avril 2026
-No cloud.
-No data leaving your device.
-Open Source
Qwen, Gemma, Nemotron – all running right in your browser. This is the direction browser AI should go! https://t.co/JlTPqueuKRSigma: A fully private AI browser that runs agents locally on your machine. -No cloud. -No data leaving your device. -Open Source Qwen, Gemma, Nemotron – all running right in your browser. This is the direction browser AI should go!
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Claude Code adds push notifications for task completion
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Claude Code can now notify you via a push notification when it has finished the task.
— 🚨 AI News | TestingCatalog (@testingcatalog) 28 avril 2026
Claude push 👀 https://t.co/46cMkiweJM pic.twitter.com/KmsUHM8weoClaude Code can now notify you via a push notification when it has finished the task. Claude push