
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.

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.

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.

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.

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.

March 8, 2025
AI#43 — Claude 3.7 Sonnet and Claude Code
Anthropic launches Claude 3.7 Sonnet and Claude Code.

September 18, 2024
AI#30 — o1
The reasoning revolution: OpenAI's "o1" could transform how founders approach AI integration.

April 24, 2024
AI#21 — Llama 3
Meta drops Llama 3, startup founders take notice.

March 20, 2024
AI#17 — Claude 3
Anthropic unveils Claude 3 suite, challenging GPT-4's market dominance.

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.

November 30, 2023
AI#8 — A Survey of Techniques for Maximizing LLM Performance
A practical guide to optimizing LLM performance.

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.

November 15, 2023
AI#6 — Tuning and Optimizing Workflows
Move beyond basic prompting to deliver more reliable AI products at lower costs.

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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