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Notes: AI

Our thoughts, reflections and occasional rants on AI.

#89 — Google's Agent2Agent (A2A): Why your AI stack needs to talk

June 29, 2025

AI

#89 — Google's Agent2Agent (A2A): Why your AI stack needs to talk

A new AI architecture paradigm is required to orchestrate value in the agentic era. Google's A2A protocol offers a solution.

#84 — Why MCP is useful: An introduction to MCP for skeptics

June 19, 2025

AI

#84 — Why MCP is useful: An introduction to MCP for skeptics

MCP allows communication between LLMs and real-world environments but don't get distracted by the hype – or the hate.

#49 — Gemini 2.5 Pro

March 27, 2025

AI

#49 — Gemini 2.5 Pro

Google's new "thinking model" AI shows impressive reasoning capabilities with a 40-point lead on human preference benchmarks.

#47 — Hunyuan-T1

March 22, 2025

AI

#47 — Hunyuan-T1

Tencent unveils Hunyuan-T1, the first ultra-large Mamba-powered AI model that pioneers a new scaling paradigm using reinforcement learning.

#45 — Orpheus

March 19, 2025

AI

#45 — Orpheus

Canopy Labs releases Orpheus, a breakthrough family of open-source speech-LLMs that deliver human-level voice generation with emotional intelligence.

#43 — Claude 3.7 Sonnet and Claude Code

March 8, 2025

AI

#43 — Claude 3.7 Sonnet and Claude Code

Anthropic launches Claude 3.7 Sonnet and Claude Code.

#30 — o1

September 18, 2024

AI

#30 — o1

The reasoning revolution: OpenAI's "o1" could transform how founders approach AI integration.

#21 — Llama 3

April 24, 2024

AI

#21 — Llama 3

Meta drops Llama 3, startup founders take notice.

#17 — Claude 3

March 20, 2024

AI

#17 — Claude 3

Anthropic unveils Claude 3 suite, challenging GPT-4's market dominance.

#13 — ChatGPT 4 prompt engineering for founders

January 24, 2024

AI

#13 — ChatGPT 4 prompt engineering for founders

Master GPT-4's latest capabilities to build smarter products, automate workflows, and gain competitive advantage.

#8 — A Survey of Techniques for Maximizing LLM Performance

November 30, 2023

AI

#8 — A Survey of Techniques for Maximizing LLM Performance

A practical guide to optimizing LLM performance.

#7 — Working with models

November 29, 2023

AI

#7 — Working with models

AI startups face critical decisions on LLM integration, migration, versioning, and sizing that can determine success or failure.

#6 — Tuning and Optimizing Workflows

November 15, 2023

AI

#6 — Tuning and Optimizing Workflows

Move beyond basic prompting to deliver more reliable AI products at lower costs.

#5 — Information Retrieval / RAG

November 8, 2023

AI

#5 — Information Retrieval / RAG

RAG systems outperform finetuning for knowledge integration, offering startups faster updates and lower costs.

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