MiniMax dropped M1, a new open-source reasoner LLM with: —World’s largest context window: 1M-token input, 80k-token output
—SOTA agentic use among open-source models
—2x faster training, via CISPO RL algorithm
AGENTS
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MiniMax M1: Open-Source Reasoner LLM with 1M Token Context
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Interactive Tom Riddle Diary AI Agent Demo
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2. Interactive Tom Riddle's Diary Chat share: https://
agent.minimax.io/share/26819531
1771749
…… Demo page: https://
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MiniMax-M1: Open-Weight Hybrid-Attention LLM Drops
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Stop scrolling.
The world’s first open-weight hybrid-attention LLM is here—built to dominate long-context reasoning, code, and tool use. MiniMax-M1 just dropped.
This AI agent = Manus + Deep Research + Computer Use + Lovable.
1M token memory. Open weights. 5 wild examples + -
Alpha-Factory Transmutes Cosmological Energy into AI Business Cash-Flows
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[ Large‑Scale α‑AGI Business 3 — Omega‑Grade Edition ] Alpha‑Factory v1 → Ω‑Lattice v0 Transmuting cosmological free‑energy gradients into compounding cash‑flows. Demo — GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/alpha_agi_business_3_v1
… #AGI #AGIALPHA #MetaAgentic -
Empowering Autonomous AGI Enterprises to Generate Hidden Alpha
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✨ Our Mission — Empower humanity to orchestrate a global constellation of self-evolving, autonomous AGI enterprises that uncover and cultivate hidden α—creating widespread prosperity and unparalleled opportunities for generations. 🌌#AGIALPHA https://t.co/sj9t4vf4v3 pic.twitter.com/Vfr7VsfNGv
— MONTREAL.AI (@Montreal_AI) 17 juin 2025Our Mission — Empower humanity to orchestrate a global constellation of self-evolving, autonomous AGI enterprises that uncover and cultivate hidden α—creating widespread prosperity and unparalleled opportunities for generations. #AGIALPHA
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MiniMax-M1: New SOTA Open-Source Agentic Model
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Hailuo AI released MiniMax-M1, a new SOTA model among open-source agentic use. MiniMax-M1 now also powers Minimax Chat
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AGI Alpha Agent Bridges Web2 Web3 Decentralized Intelligence
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[ ✨🪐👁️ AGI ALPHA AGENT 👁️🪐✨ ]
— MONTREAL.AI (@Montreal_AI) 16 juin 2025
The AGI Alpha Agent 👁️✨ website is available at both https://t.co/HPCbGSxOax and https://t.co/YHsKItbm0i, seamlessly bridging Web2 and Web3.
CA : tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump$AGIALPHA is History.#AGI #AGIALPHA #MetaAgentic pic.twitter.com/vgjVJQJuM2[ AGI ALPHA AGENT ] The AGI Alpha Agent website is available at both https://
agialphaagent.com and https://
alpha.agent.agi.eth.limo, seamlessly bridging Web2 and Web3. CA : tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump $AGIALPHA is History. #AGI #AGIALPHA #MetaAgentic -
Alpha-Factory v1: Meta-Agentic AGI Framework Launch
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[ Alpha‑Factory v1 — META-AGENTIC α‑AGI ] Mission End‑to‑end: Identify → Out‑Learn → Out‑Think → Out‑Design → Out‑Strategise → Out‑Execute GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… $AGIALPHA #AGIALPHA #AlphaInsight #MetaAgentic -
Security Risks of Local LLM Agents vs Web-Based Interfaces
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I should clarify that the risk is highest if you're running local LLM agents (e.g. Cursor, Claude Code, etc.). If you're just talking to an LLM on a website (e.g. ChatGPT), the risk is much lower *unless* you start turning on Connectors. For example I just saw ChatGPT is adding
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11x Rebuilds Alice Agent with LangChain Full Stack
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@11x_official shares their experience rebuilding their Alice Agent using our full stack for building agents — LangGraph, LangGraph Platform, LangSmith, and LangChain. Sherwood Callawayand and Keith Fearon cover the technical journey from ReAct to Multi-Agent architecture,