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A legal loophole allows data brokers to collect your personal data and sell it to the highest bidder. This is used for all sorts of nefarious purposes - from spam email [4] to more convincing deepfake calls (thanks, AI!).
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The 2024 State of AI Report highlights the consolidation of foundation models into practical products, with OpenAI leading significant revenue generation. Key trends include convergence in frontier lab performance, increasing focus on planning and reasoning in LLM research, and the expansion of foundation models into multimodal domains. Despite regulatory challenges, AI enterprises have surged in value, though questions about long-term sustainability persist.
Anthropic Quickstarts offers projects like a customer support agent and financial data analyst to help developers utilize the Anthropic API quickly. These projects use Claude for natural language processing and interactive data visualization. Each quickstart includes setup instructions and supports community contributions.
xAI has released a Grok-based generative AI API. It currently offers a single model, "grok-beta," with function-calling capabilities. The API is part of xAI's strategy to compete with AI leaders by leveraging data from Musk's companies, including X. Despite some functionality issues, xAI is rapidly expanding Grok's integration into the X platform.
A powerful and open source attempt to recreate GPT-4o speech capabilities. This particular model was trained by aligning modalities with pre trained audio and speech encoders.
BiGR is a novel image generation model that uses compact binary latent codes to improve both generation and representation abilities. It's the first model to unify generative and discriminative tasks within the same framework. The model features mechanisms like binary tokenization and a unique entropy-ordered sampling method.
LongPiBench is a benchmark designed to assess the positional biases in large language models (LLMs) when processing long contexts that specifically targets biases arising from the spacing of multiple pieces of relevant information.
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Clamp2 is a contrastive model that can be used for music and text alignment.
Microsoft released an inference repository for its 1.58 Bit models, which, if properly trained, can be run on consumer hardware.
Montessori-Instruct is a new framework for generating synthetic data tailored to a student language model's learning process. It adjusts the synthetic data generated by the teacher model to match the student's learning preferences using local data influence and Direct Preference Optimization (DPO).
OpenAI's o1 series hints at a shift from generative AI to reasoning-focused models. The new AI paradigm emphasizes long-term problem-solving over data generation, altering traditional scaling laws and creating AI-rich and AI-poor user classes. OpenAI and others are moving towards this reasoning-centric approach. Upcoming models like GPT-4.5 and Gemini 2.0 will pave the way for the GPT-5 era.
This is a competition hosted by Jane Street where participants are tasked with building models using real-world data from production systems to offer insights into the complexities of financial markets.
Meta introduced a next-generation disaggregated network fabric and new network hardware for AI clusters at OCP 2024. It developed Disaggregated Scheduled Fabric (DSF) to enhance scalability and performance in AI training systems. Both new and existing hardware are optimized for high throughput and efficiency, supporting advanced AI applications with open, vendor-agnostic solutions.
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Serve Robotics' new third-generation delivery robot features NVIDIA's Jetson Orin module, enhancing AI processing for faster, real-time autonomous navigation decisions.
Boston Dynamics and Toyota Research Institute are collaborating to integrate AI and large behavior models into the electric Atlas humanoid robot.
Doctors and nurses spend nearly 28 hours a week on administrative tasks.