15:09, 8 марта 2026Путешествия
Know when to clean up and shipVibe coding is addictive in the same way that mobile games are. You get that quick dopamine drip by asking the AI to add something, and immediately watching it add the thing. Then, you think of another feature, and it adds that too. What was once a day or two of polish and adding a few extra features turns into weeks of getting stuck in the weeds with various additions to the project (a phenomenon called feature creep). You have to stop coding and start using the app at some point. Remember: You can always add more updates later.
。关于这个话题，新收录的资料提供了深入分析
Note: All numbers here are the result of running benchmarks ourselves and may be lower than other previously shared numbers. Instead of quoting leaderboards, we performed our own benchmarking, so we could understand scaling performance as a function of output token counts for related models. We made our best effort to run fair evaluations and used recommended evaluation platforms with model-specific recommended settings and prompts provided for all third-party models. For Qwen models we use the recommended token counts and also ran evaluations matching our max output token count of 4096. For Phi-4-reasoning-vision-15B, we used our system prompt and chat template but did not do any custom user-prompting or parameter tuning, and we ran all evaluations with temperature=0.0, greedy decoding, and 4096 max output tokens. These numbers are provided for comparison and analysis rather than as leaderboard claims. For maximum transparency and fairness, we will release all our evaluation logs publicly. For more details on our evaluation methodology, please see our technical report (opens in new tab).
The Electronic Frontier Foundation (EFF) eff.org🇺🇸
At the heart of the research, led by Østergaard and his team at the Aarhus University Hospital, is the idea that these chatbots are designed intentionally with sycophantic tendencies, meaning they often encourage rather than offer a differing view.