[ AGIJobManager EmployerBurn Variant ] AGIJobManager EmployerBurn is an Ethereum smart-contract system for escrowed AGI work agreements where employer-win settlement paths enforce an employer-authorized AGIALPHA burn. GitHub : https://
github.com/MontrealAI/AGI
JobManager-EmployerBurn
… #AGIALPHA #AIAgents #Jobs
DECENTRALIZED AI
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AGIJobManager EmployerBurn Smart Contract for Escrowed AGI Work Agreements
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G0DM0D3: Run 51 AI Models in Single HTML File
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Instead of paying $20/month for a single AI model, you can now run 51 of them simultaneously. G0DM0D3 is a beautiful, privacy-first chat UI built entirely inside ONE single HTML file It replaces complex tech stacks with absolute minimalism. What makes it so effective:
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Advice against wasting money and time on LLMs and local AI
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please don't waste your money or time on this for LLMs / local AI
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Democratizing AI: 50K Models and Local Inference Freedom
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Next steps:
– enable the 50,000 models available in inference providers
– enable the 3,000,000 models available on HF
– local free fast inference with llama.cpp
– train and bring your own model! We don't want a world where you're forced to choose between two or three lookalike -
Power Centralization in AI Attracts Those Seeking Control
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Such a centralization of power inevitably attracts those that wish to yield it.
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First Autonomous AI Worker OpenClaw Launches with Funded Wallet
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[ The first autonomous worker is coming online ] Setting up the first autonomous worker: OpenClaw, running on a dedicated machine with its own accounts and a $AGIALPHA-funded wallet. It will listen to AGIJobManager, autonomously apply to AGI Jobs, execute them, and submit
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LLM Comparison: Sovereign AI Deployment Strengths
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Not all LLMs are created equal—each brings unique strengths to the table. 🚀
— SambaNova (@SambaNovaAI) 23 mars 2026
Thomas Vits from @InfercomAI breaks down what sets different models apart and how they power secure, sovereign AI deployments.
🎥 Watch the full session here: https://t.co/dRrVfeP40a
💡 Learn more… pic.twitter.com/PwcYIN47eyNot all LLMs are created equal—each brings unique strengths to the table. Thomas Vits from @InfercomAI breaks down what sets different models apart and how they power secure, sovereign AI deployments. Watch the full session here: https://
youtube.com/watch?v=nzsa1-
F3N2E&si=C0g5LBSdKDSj–00
… Learn more -
Inference Evolution: From Centralized to Distributed Edge Computing
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Inference is also shifting. Today it’s centralized.
Tomorrow it gets distributed. Closer to the edge.
Closer to the device.
Closer to the user. We saw this movie with video. It started centralized. Then usage exploded, and distribution moved outward. AI will follow a similar -
Run LLMs Locally to Escape Big Tech AI Control
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re: Anthropic, OpenAI, etc Don’t let them control your Intelligence Utilization learn to run your LLMs locally and on your own hardware
