My LLM Tier List
2026-02-05
A sourced summary of Daniil Sedov's note about keeping a personal, time-indexed ranking of frontier AI models based on real usage.
Small AI news, ideas and learning updates for low-data users.
Short AI notes, updates and ideas.
2026-02-05
A sourced summary of Daniil Sedov's note about keeping a personal, time-indexed ranking of frontier AI models based on real usage.
2026-01-27
A sourced summary about how AI can make small goals too easy, so users may need to aim higher.
2026-01-09
A sourced summary about giving an AI coding agent its own computer and controlling it through a simple loop and Telegram bot.
2026-01-02
A sourced summary of a technical post about building a much faster TON vanity-address generator with AI-assisted optimization.
2025-12-31
A sourced summary of predictions about AI progress, agents, coding, science, companies, adoption, and risk in 2026.
2025-11-28
A sourced summary about choosing AI models based on real tasks instead of only benchmark numbers.
2025-11-20
A sourced summary of an argument that LLM generalization failures are often intelligence limits rather than pure data-boundary limits.
2025-10-13
A sourced summary of the argument that AI progress may feel dramatic but still follow a smooth curve of technological acceleration.
2025-10-12
A sourced summary about using AI for feedback and grammar help without letting it replace your own thinking and writing voice.
2025-08-11
A sourced summary of one user's experience with GPT-5, including expectations, early disappointment, coding use, routing issues, and instruction-following strength.
2025-07-29
A sourced summary about why AI coding agents work better when large projects are broken into clear, low-complexity steps.
2025-07-18
A sourced summary of large-scale experiments using LLMs for black-box and white-box fuzzing of compilers and related projects.
2025-03-31
A sourced summary about AI making multitasking easier by letting people delegate parts of their cognitive workload.
2025-03-26
A sourced summary of an experiment where LLM agents used documentation and a compiler binary to find real compiler issues.
2025-03-11
A sourced summary of a benchmark study on how random or predictable different LLM outputs are under number-generation prompts.