Hold on, Chinas ERNIE 5.1 is almost SOTA but using only around 6% of the pre-training cost of comparable models?? ERNIE 5.0’s pre-training foundation: Baidu says ERNIE 5.1 achieves stronger search, reasoning, knowledge Q&A, creative writing, and agentic capabilities while using
AGENTS
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New Research Paper Examines Capabilities of Autonomous AI Agents
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Harvard, MIT, Stanford & Carnegie Mellon just released one of the most disturbing AI papers of 2026. “Agents of Chaos” http://
arxiv.org/pdf/2602.20021 Autonomous AI agents with real tools:
→ Email
→ File systems
→ Persistent memory
→ Shell access http://
drdebashisdutta.com -
Excited speculation about next AI model’s 8-hour workday at 80% success
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Holy sh*t! That jump! So the next model after Mythos will work a whole 8 hour work day at 80% success rate, I assume.
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New benchmark for evaluating autonomous AI agent performance
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a researcher at ICML opens his paper with a question. what does your AI agent do when nobody’s watching? he builds a benchmark. multi-step tasks. tool use. coding assistants, research agents, the kind of thing you trust to run for hours without supervision. he gives the
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Build Production-Ready AI Agent Systems
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
Agentic Workflow Support and Token Streaming Added to NVIDIA Dynamo
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Streaming Tokens and Tools Turn Agentic Harness Support in NVIDIA Dynamo! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
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Agentic AI Playbook 2026: Turning LLMs into Reliable Agents
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The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: http://
amzn.to/49zjzId -
Design Multi-Agent AI Systems — New Packt Release
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New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI -
Glean Platform Integrates AI Agents for Unified Enterprise Search
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all
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Hooks support and extensibility framework coming to Codex
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Hooks support is coming to the Codex app as well! > Hooks are an extensibility framework for Codex. They allow you to inject your own scripts into the agentic loop.