Today is April 30th, 2026, and today was the first day I can recall being impressed with moral reasoning articulated by a software product in refusal to do a thing I asked it to do. It misparsed my intent, and I do not *agree* with its moral reasoning, but clear and cogent.
LLMS
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Hassabis: AGI Is Close, Missing Continual Learning and Memory
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Demis Hassabis: We're on the right track to AGI; we probably have all the components. We're just missing a few things like continual learning and solving the memory problem. pic.twitter.com/zuIKOiKnB7
— Chubby♨️ (@kimmonismus) 30 avril 2026Demis Hassabis: We're on the right track to AGI; we probably have all the components. We're just missing a few things like continual learning and solving the memory problem.
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Preconditioned DeltaNet Adds Curvature-Aware Linear Recurrence Modeling
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“Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences” This paper views linear recurrences through a least-squares/test-time regression lens, and adds the missing curvature information via preconditioning. Main idea: precondition the delta-rule
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AI Assistants Still Corrupt Documents Despite Trillion-Dollar Scaling
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Ouch! Current AI assistants often corrupt documents. Sounds like an intern you can’t trust — once again. A trillion dollar investment in scaling hasn’t solved this.
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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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GPT Powers ML Intern Tool for Dataset and Model Workflows
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Trying @OpenAI GPT 5.5 in ml intern to create datasets, train models, optimize models (or create reachy mini apps). Very cool! https://
huggingface.co/spaces/smolage
nts/ml-intern
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Webinar on Building AI Agents for Data Querying with Datahub and AWS
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India’s AI future is built with YOU ! You’ve been part of the AIKosh journey. Now it’s time to shape what comes next. From features you love to ideas you want to see, your voice can directly influence India’s AI roadmap. So do share your feedback & suggest platform improvements.
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Google ReasoningBank Gives AI Agents Persistent Memory from Experience
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Google just made AI agents learn from experience like humans do. The new framework is called ReasoningBank. Instead of retraining models, it gives agents a memory layer. Every task run gets distilled into a short strategy card. Successes become playbooks. Failures become
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DeepSeek AI Releases Thinking with Visual Primitives Project and Paper
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Project: https://
github.com/deepseek-ai/Th
inking-with-Visual-Primitives
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Paper: https://
github.com/deepseek-ai/Th
inking-with-Visual-Primitives/blob/main/Thinking_with_Visual_Primitives.pdf
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