$3,000 and a ChatGPT subscription cured cancer That’s what it cost one person to do what used to require a full oncology research lab, institutional funding, and years of grant applications. The DNA sequencing was $3,000. The protein structure prediction (AlphaFold) is free.
LLMS
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Two Fast LLM Inference Optimization Techniques Explained
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Two different tricks for fast LLM inference https://
buff.ly/FYkJWvm
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Claude Code Team Ships Rapid Improvements to Code Harness
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I must say that the Claude code team is shipping improvements to the Claude code harness at an impressive rate. Loop, btw, schedule, tool discovery, code mode mcp, ask user question, and then the long long tail of stability and robustness (eg what happens when you close your
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The State of the AI Competitive Landscape
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State of the AI race:
Leading: Google, OpenAI, Anthropic
Falling behind: Meta, Microsoft, xAI
Given up: Apple, Amazon, Palantir -
Deep Agents: Beyond Simple LLM Tool-Calling Loops
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Most “AI agents” today are just LLMs calling tools in a loop. LLM → Tool → LLM. That works for simple tasks. But it breaks when workflows become long-running, multi-step, or stateful. A new open-source project from LangChain — Deep Agents — explores a better architecture
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Agentic RAG: The 9-Layer Stack for Production AI Systems
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Agentic RAG = 9-layer stack Infra → Eval → Models → Orchestration
→ Vector DB → Embeddings → Ingestion
→ Memory → Safety RAG alone isn’t enough.
Add planning, memory, governance. That’s production AI. #AgenticAI #RAG #LLM #AIStack -
Claude Code Generating Claude Code: Anthropic’s Future Implications
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What happens to Anthropic when anyone can use Claude Code to generate Claude Code?
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RL Fine-tuning Generalization Challenges for LLM Agents
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New research on LLM Agent Generalization. RL fine-tuning makes agents strong in familiar environments, but it struggles to transfer across unseen ones. This paper systematically studies RL generalization for LLM agents across three axes: within-environment transfer across task
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Using LLMs to Expand Unit Tests and Run Benchmarks
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No, that's my code. But I used LLMs to help expand unit tests and run benchmarks outside the book etc.