official results from @atcoder World Tour Finals are in — great results for both humans (#1 and #3 onwards) and AI (#2 in the world!). a milestone for AI for solving hard problems.
MACHINE LEARNING
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Build Real-World Intelligent Agents with NVIDIA NeMo Toolkit
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On August 1st and 22nd, learn how to build real-world intelligent agents using the NVIDIA NeMo Agent toolkit. Perfect for developers, data scientists, and ML engineers with basic Python knowledge. This session will walk you through building and deploying #AIAgents using simple
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LLMs Master NP-Hard Optimization Through Heuristic Reasoning
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By developing heuristic algorithms to tackle challenging NP-hard optimization problems, our LLMs demonstrate their ability to reason, strategically explore solutions, and progressively refine their approach. This highlights our models' capacity for sustained problem-solving,
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AI Model Achieves Second Place at AtCoder Heuristics Finals
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Our model took 2nd place at the AtCoder Heuristics World Finals! Congrats to the champion for holding us off this time.
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Personality cloning as next dimension of speech model realism
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Personality cloning (mimicking a style of speech) is the next dimension of speech models. Many subliminal layers of realism here. https://t.co/Byz3RfvVkA
— AI Breakfast (@AiBreakfast) 17 juillet 2025Personality cloning (mimicking a style of speech) is the next dimension of speech models. Many subliminal layers of realism here.
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Mistral Launches Voxtral: Open-Source Multilingual Speech Model
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🎙️ Voxtral just dropped
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 17 juillet 2025
Voxtral = Mistral’s open-source, multilingual speech-understanding model
• 3B & 24B open weights
• $0.001 / min on HF API — ≈6× cheaper than Whisper
• 32 k context → 30-40 min audio in one go vs Whisper’s 30-second sliding windows (might be better… pic.twitter.com/SsyTWf96f4Voxtral just dropped Voxtral = Mistral’s open-source, multilingual speech-understanding model • 3B & 24B open weights • $0.001 / min on HF API — ≈6× cheaper than Whisper • 32 k context → 30-40 min audio in one go vs Whisper’s 30-second sliding windows (might be better
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All AI Models Might Be The Same: Universal Semantics
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new blog post "All AI Models Might Be The Same" in which i explain the Platonic Representation Hypothesis, the idea behind universal semantics, and we might use AI to understand whale speech and decrypt ancient texts
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Agent patching improves performance on multiple benchmarks
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Impressive benchmarks!: patching together agents really improves perf on many benchmarks, à la Manus or OpenHands-Versa
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Gemini’s Tokenization of YouTube Videos for Large Recommender Models
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criminally underrated talk from @devanshtandon_ Gemini powers YouTube's Large Recommender Model by **tokenizing every video on youtube** (SemanticID) – a vocabulary several OoMs larger than English, CONTINUOUSLY PRETRAINED every day. can reason across titles/descriptions, throws