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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · Towards AI English(EN) ·

    I Tested the 230B Model That Trains Itself — MiniMax M2.7

    MiniMax's M2.7, a 230 billion parameter model, has demonstrated impressive capabilities in self-training and agentic coding tasks. Initial testing suggests it performs beyond expectations, challenging the notion that it would be a low-quality Mixture-of-Experts model. The model's performance indicates a significant step forward in AI development, particularly in its ability to learn and adapt autonomously. AI

    I Tested the 230B Model That Trains Itself — MiniMax M2.7

    IMPACT Demonstrates advanced self-training and coding capabilities, potentially setting new benchmarks for autonomous AI development.

  2. TOOL · dev.to — LLM tag English(EN) ·

    Which LLM is the best stock picker? I built a benchmark to find out.

    A new benchmark, dubbed 1rok, has been launched to evaluate the stock-picking capabilities of frontier large language models. The benchmark assigns each participating LLM a virtual portfolio of $100,000 and tasks them with selecting stocks weekly, with performance tracked against market outcomes. This initiative aims to provide a more practical, downstream evaluation of LLMs beyond traditional coding and reasoning benchmarks, focusing on decision-making under uncertainty. AI

    Which LLM is the best stock picker? I built a benchmark to find out.

    IMPACT Provides a novel benchmark for evaluating LLM decision-making under uncertainty, moving beyond traditional coding and reasoning tasks.

  3. TOOL · Mastodon — mastodon.social English(EN) ·

    Testing MiniMax M2.7 via API on three real ML and coding workflows https://andlukyane.com//blog/minimax-m27-workflows # HackerNews # Tech # AI

    A user tested the MiniMax M2.7 model through its API across three distinct machine learning and coding tasks. The evaluation focused on the model's performance in practical, real-world applications within these domains. AI

    IMPACT Provides insights into the practical capabilities of the MiniMax M2.7 model for ML and coding tasks.