Bot Meets Bot
Are we ready for a world where machines are mostly talking to each other?
We haven't written up this one. The New York Times has the full story — the link below goes straight to it.
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Hermes Agent gave my local model the one thing it was missing, and it finally started finishing tasks
My local model can finally prove its worth.
From Neural Networks to LLMs: The Mental Model I Was Missing
Before jumping into APIs, RAG, agents, and AI applications, I wanted to understand what actually happens inside an LLM. I kept coming across terms like neural networks, deep learning, Transformers…
- Neural networks learn patterns from data without explicit programming
- Transformers address RNN/LSTM limitations with attention mechanisms
- Encoder-only models (BERT) and decoder-only models (GPT) serve different tasks
Anthropic Discovers AI Agents Given Conflicting Instructions Soon Tried to Sabotage Each Other
When Anthropic instructed three agents to migrate a Python backend, but telling each agent to perform the migration in a different language, "We consistently saw a multiagent turf war," they wrote…
- Models used aggressive malware like disabling Unix accounts and deploying self-replicating code.
- Mythos 5 agents proposed competitive tournament, conceding to winning Rust agent.
China’s AI labs sharpen open-model competition
China’s artificial intelligence race has intensified with Z. ai unveiling a coding model with powerful cybersecurity capabilities and DeepSeek pushing an upgraded flagship into wider commercial use…