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AI NEWS: DECEPTIVE AI AGENTS, MAJOR CHANGES AT OPENAI, DEEPSEEK R2 LEAK,…
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Google AI Futures Fund may find going tough in light of DOJ action
Google’s recent announcement of an AI Futures Fund shows the company wants to invest in AI startups. It sees itself as providing capital, early access to AI models yet to reach production, and support for […]
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Reinforcement Learning, Not Fine-Tuning: Nemotron-Tool-N1 Trains LLMs to Use Tools with Minimal Supervision and Maximum Generalization
Equipping LLMs with external tools or functions has become popular, showing great performance across diverse domains. Existing research depends on synthesizing large volumes of tool-use trajectories through advanced language models and SFT to enhance LLMs’ […]
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OpenAI just fixed ChatGPT’s most annoying business problem: meet the PDF export that changes everything
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI launched a new PDF export capability for its Deep Research feature today, enabling users to […]
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PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous Reinforcement Learning
As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly coupled compute clusters with fast interconnects, which are costly, limited in […]
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Knowby AI Instructions Platform Turns Videos into Step-By-Step Guides Easily #ai #sops #onboarding
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PlanetPlay’s Play2Act poll finds 79% make positive change after playing green games
PlanetPlay announced that data drawn from a new in-game poll called Play2Act showed evidence that gaming has the potential to incentivize greener habits among gamers. The poll found 79% of respondents who had played games with green messages or […]
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This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify Memory Utilization in Sequence Models for Performance Optimization
In machine learning, sequence models are designed to process data with temporal structure, such as language, time series, or signals. These models track dependencies across time steps, making it possible to generate coherent outputs by […]
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