AI Surpasses Human Forecasting Ability
On 17 Sep, Hacker News Best reported that artificial intelligence had surpassed some of the best human forecasters. On 18 Sep, ArtificialInteligence narrowed the claim: Google has two internal models that make more accurate predictions on ForecastBench than the median superforecaster. The current picture rests on that benchmark comparison.
Assuming the claim is factual, impact is 0%. Google’s internal model teams and the human forecasters measured by ForecastBench are directly affected because the reported result changes their relative benchmark standing. The signals identify no wider operational change.
Watch for published ForecastBench results that identify Google’s two models and show how their predictions compare with the median superforecaster.
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1s3pbl6/human_vs_ai_performance_on_arcagi_3_as_a_function/"> <img alt="Human vs. AI performance on ARC-AGI
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x9n3qv/tempopfn_synthetic_pretraining_of_linear_rnns_for/"> <img alt="TempoPFN: Synthetic Pre-training of
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  submitted by   <a href="https://www.reddit.com/user/mpuchala"> /u/mpuchala </a> <br /> <span><a
<!-- SC_OFF --><div class="md"><p>Yesterday, Thinking Machines Lab (Mira Murati's company) announced something categorically new : <strong>Interaction models</strong> are AI
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<!-- SC_OFF --><div class="md"><p>GDM announced open-sourcing WeatherNext's code and model weights on GitHub. </p> <p>Source: <a
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