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AI Reasoning Solved, But Real-World Use Lags

A post on Mastodon claims that the primary challenge in AI reasoning has been overcome, likening it to the simple act of pressing Enter. The author notes ongoing discussions about enhancing model capabilities such as reasoning, coding, context length, and autonomy. However, they observe that many current real-world AI applications still resemble older, less sophisticated workflows. AI

IMPACT Suggests that despite theoretical advances in AI reasoning, practical application and integration into existing workflows remain a significant hurdle.

RANK_REASON The item is a social media post expressing an opinion about AI capabilities, not a primary source announcement or research.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    🤖 We solved reasoning. The remaining challenge was apparently pressing Enter. Every week I see discussions about more capable models. ​ Better reasoning. ​ Bett

    🤖 We solved reasoning. The remaining challenge was apparently pressing Enter. Every week I see discussions about more capable models. ​ Better reasoning. ​ Better coding. ​ Longer context. ​ More autonomy. ​ Meanwhile most real-world AI workflows still look like this: ​ AI w... 📰…