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Elon Musk shares a testimonial from Alex Finn praising Full Self Driving technology, claiming it saves him two hours daily, enhancing productivity and making it impossible to return to traditional driving.
Elon Musk emphasizes the importance of focusing on Full Self-Driving (FSD) and Optimus, dismissing other distractions as noise. He believes these projects are crucial for building the future.
Elon Musk shared a post praising Grok Vision's impressive ability to read and instantly translate text into multiple languages, showcasing its advanced AI capabilities.
Elon Musk shares a positive endorsement of Full Self-Driving (FSD) technology from Chamath Palihapitiya, who reports a more relaxed driving experience after using FSD, highlighting its transformative impact on user mood.
Elon Musk announces preparations for unsupervised self-driving, highlighting Tesla's FSD supervised ride-hailing service, which has completed over 1,500 trips to enhance AI network development.
Elon Musk shared an update on Grok 3, highlighting its significant upgrade with new features like Memory, Studio, and API. Users are rapidly creating innovative applications, including games and legal tools.
Elon Musk highlights Grok's impressive advancements, encouraging users to utilize its new voice mode features, which include visual recognition, web searching, multilingual speaking, and customizable personas.
Sam Altman announces the launch of image generation in the OpenAI API, highlighting new features like moderation sensitivity control and options for quality versus generation speed, encouraging developers to create innovative applications.
Sam Altman announces the launch of image generation capabilities in the OpenAI API, encouraging developers to create innovative applications using this new feature.
Sam Altman announces an increase in rate limits for ChatGPT Plus subscribers, specifically for the o3 and o4-mini-high models, enhancing user experience and accessibility.
Sam Altman announces an increase in rate limits for ChatGPT Plus subscribers, addressing user feedback. He acknowledges the challenges of balancing rate limits, new features, and latency, while expressing hope for improvements with upcoming GPUs.
Sam Altman announces an increase in rate limits for ChatGPT Plus subscribers, specifically for the o3 and o4-mini-high models, enhancing user experience and accessibility.
Andrew Ng announces a new short course on building code agents with Hugging Face's smolagents. The course covers the evolution of agentic systems, safe execution of LLM-generated code, and optimization techniques for production use.
Andrej Karpathy announces the winners of the 2025 Vibe Code Game Jam, highlighting innovative games like 'The Great Taxi Assignment.' He emphasizes the potential of AI in fostering creativity among new developers.
Yann LeCun shares a post about LlamaCon 2025, highlighting the celebration of the open-source community's contributions to technology and the Llama model collection, along with upcoming updates.
The Trillion 7B Technical Report has been released on Hugging Face, providing insights into its findings. The author invites discussions regarding the report, indicating an openness to engage with the community.
The Trillion 7B Technical Report has been released on Hugging Face, providing insights into advancements in AI technology and research methodologies.
VisuLogic, a new benchmark and training dataset, is now live on Hugging Face, aimed at improving the visual reasoning capabilities of multi-modal large language models (MLLMs).
The post by AK introduces 'I-Con', a unifying framework for representation learning, suggesting advancements in AI methodologies for better data representation and learning efficiency.
AK introduces 'I-Con', a unifying framework for representation learning, aimed at enhancing AI's ability to understand and process data. The framework is discussed further with the author.
AK shares an announcement about a new commercial era for a platform, offering free unlimited generations and a Pro mode for enhanced features. Users can enjoy daily credits and exclusive tools, promoting creative freedom.
Baptiste Colle announces joining the Hugging Face Agents team to develop an open-source data science agent, starting with curating 2TB of Jupyter notebooks and planning to train a dedicated Data Science Agent model.
AK shares a post about Gas, a CLI tool developed using Hugging Face inference providers and Cohere models. This AI sidekick assists users in understanding code diffs and generating commit messages.
Gradio has launched a 1.6B TTS model capable of generating realistic conversations from transcripts, available under Apache 2.0 license. Users can easily deploy their own TTS applications using provided instructions.
AK shares a post about EDGS, a new rendering technology that offers faster performance and improved quality compared to 3D Gaussian Splatting. The official app is now available on Hugging Face.
Alibaba has unveiled RealisDance-DiT, a new framework aimed at enhancing controllable character animation in various environments. This development represents a significant step forward in animation technology.
AK shared a post about Nvidia's new tool, Describe Anything, for detailed localized image and video captioning on Hugging Face. Yin Cui acknowledged AK's contribution, highlighting teamwork with interns and colleagues.
Google's recent announcement highlights that large language models (LLMs) are considered greedy agents, emphasizing the impact of reinforcement learning (RL) fine-tuning on their decision-making capabilities.
Google's announcement highlights that large language models (LLMs) are considered greedy agents, emphasizing the impact of reinforcement learning (RL) fine-tuning on their decision-making capabilities.
LiveCC has been released on Hugging Face, featuring a video language model (LLM) that offers real-time commentary and is trained using a novel video-ASR streaming method, achieving state-of-the-art performance on both streaming and offline benchmarks.