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Quesma (auto-discovered)

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00:00
2026-07-31
quesma.com
large-language-models

A lesson about retries, hidden in the DeepSeek-V4 paper

An experiment by an unnamed researcher found that retrying failed requests in LLM benchmarks introduces selection bias, shortening average response lengths by 19.2% and reducing long-form outputs by u…

00:00
2026-07-17
quesma.com
ai-agents

I burned all my tokens researching how to save tokens

A Quesma researcher burned through an entire Claude team x5 plan token limit in 30 minutes while researching AI agent tokenomics, prompting a redesign that uses multiple subscription services and chea…

00:00
2026-07-16
quesma.com
artificial-intelligence

Baba Is Solved by Fable 5 and GPT-5.6 Sol, but at what cost?

Fable 5 and GPT-5.6 Sol can solve almost all levels in the first two stages of Baba Is You, but take significantly longer than humans, according to tests run by the developer of the open-source Baba I…

00:00
2026-07-09
quesma.com
artificial-intelligence

Tokenflation: When “Hi” triggers 33 tool calls

A new phenomenon called 'tokenflation' shows AI coding agents using excessive tool calls and reasoning for trivial inputs like 'Hi', costing developers time and money. Benchmarking 14 models revealed …

00:00
2026-07-08
quesma.com
artificial-intelligence

The true cost of saying "Hi" to an AI agent

A developer benchmarked 14 AI agent models and found that the true cost of a simple greeting like "Hi" is not the token price (as low as $0.005) but the waiting time, which can cost up to $5.10 per gr…

17:05
2026-06-29
quesma.com
large-language-models

Qwen 3.6 27B is the sweet spot for local development

Qwen 3.6 27B, a dense local language model from Alibaba's Qwen team, impresses developers with its general intelligence and practical coding abilities, running efficiently on consumer hardware via lla…