Luma just released Uni-1, an image generation model that reasons first! The shift: image generation models typically work prompt-to-pixels. Uni-1 adds a reasoning step between input and output. It interprets creative direction, resolves ambiguity, then generates. That reasoning
@sumanth_077
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Quadratic Attention Limits Frontier Models After 8 Years
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Attention Is All You Need (2017): most cited ML paper of the decade.
— Sumanth (@Sumanth_077) 5 mai 2026
For 8 years, every frontier model has been built on quadratic attention. Process every possible word-to-word relationship. Compute explodes with context length. Accuracy degrades past 200k tokens.… https://t.co/tSJOH4A2CuAttention Is All You Need (2017): most cited ML paper of the decade. For 8 years, every frontier model has been built on quadratic attention. Process every possible word-to-word relationship. Compute explodes with context length. Accuracy degrades past 200k tokens.
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Claude Code Plugin Turns Codebase Into Interactive Knowledge Graph
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Turn any codebase into an interactive knowledge graph! Understand-Anything is a Claude Code plugin that builds an explorable map of your project. It analyzes every file, function, class, and dependency, then gives you an interactive dashboard to explore it all visually. Run the
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Small Models Handle Repetitive Agent Task Layers Efficiently
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Any repetitive agent task layer – routing, validation, retrieval – small models can handle it
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Glean Releases Waldo 30B Agentic Search Model for Enterprise AI
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Small Language Models are the Future of Agentic AI!
— Sumanth (@Sumanth_077) 30 avril 2026
Glean just released Waldo – a 30B agentic search model that runs before frontier LLMs.
Search is where most agentic work begins. You ask about a project, customer, process, or decision. The agent searches internal docs, reads… pic.twitter.com/8yy5Dj99lvSmall Language Models are the Future of Agentic AI! Glean just released Waldo – a 30B agentic search model that runs before frontier LLMs. Search is where most agentic work begins. You ask about a project, customer, process, or decision. The agent searches internal docs, reads
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SenseNova U1 Skills: Image Generation, PPT, Excel Analysis
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SenseNova U1 Skills: The skills in the repo cover image generation & visualization, slide-deck (PPT) generation, Excel data analysis, and deep research You can plug these models directly into agent runtimes such as OpenClaw and hermes-agent. Check this out:
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SenseNova-U1 Model Weights and GitHub Repository Released
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Model Weights: https://
huggingface.co/collections/se
nsenova/sensenova-u1
… Github Repo: https://
github.com/OpenSenseNova/
SenseNova-U1
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SenseTime Releases SenseNova-U1 Unified Multimodal Model
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The first open-source end-to-end unified multimodal model! SenseTime just released SenseNova-U1 – a multimodal model that unifies understanding, reasoning, and generation in one continuous system. Most multimodal models either understand images OR generate images. They use