CompanyAnthropic3 recent entries24 Apr 2026If you forget about the Harveys and Lovables and Anthropics for a second … getting to $100M in revenue is very rare. According to this datas…If you forget about the Harveys and Lovables and Anthropics for a second … getting to 100M in revenue is very rare. According to this dataset ca. 1.5% of VC funded startups. If you’ve achieved that as→24 Apr 2026DeepSeek-V4: a million-token context that agents can actually useDeepSeek-V4 is an advanced language model featuring a million-token context window that enables practical agentic applications beyond simple retrieval. The model demonstrates improved efficiency and u
CompanyOpenAI7 recent entries9 Apr 2026Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUsWaypoint-1.5 is Overworld's updated real-time generative world model, trained on nearly 100x more data than its predecessor to deliver improved visual fidelity and environmental coherence. It intro...→27 Apr 2026How to build scalable web apps with OpenAI's Privacy FilterThis article likely discusses techniques for building web applications that integrate OpenAI's APIs while maintaining user privacy through filtering mechanisms. It probably covers implementation strat→7 Jun 2026Sponsors especially OPENAI CODEX voucher usage for codex - openAI challangeThis resource describes sponsor vouchers, particularly OpenAI Codex credits, available to participants in a Hugging Face hackathon event. It likely outlines how participants can access and use the pro→22 Jul 2026OpenAI’s accidental cyberattack against Hugging Face is science fiction that happenedThis story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke→23 Jul 2026The first known runaway AI agent - or a very bad marketing stunt?The first known runaway AI agent - or a very bad marketing stunt? Martin Alderson's commentary on the OpenAI accidental cyberattack against Hugging Face includes a couple of details I hadn't considere→28 Jul 2026Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 IncidentAnatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident Hugging Face just released this extremely detailed technical description of OpenAI's recent accidental cyberat→7 Aug 2026Now we have a timeline of the OpenAI accidental attack against Hugging FaceOpenAI gave a last-minute presentation at the Black Hat security on Wednesday about 'the Hugging Face Incident' (previously on this blog). The video was published yesterday. It's short and information
CompanyGoogle1 recent entries22 Jul 2026OpenAI’s accidental cyberattack against Hugging Face is science fiction that happenedThis story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke
CompanyxAI1 recent entries9 Apr 2026Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUsWaypoint-1.5 is Overworld's updated real-time generative world model, trained on nearly 100x more data than its predecessor to deliver improved visual fidelity and environmental coherence. It intro...
CompanyDeepSeek2 recent entries24 Apr 2026DeepSeek-V4: a million-token context that agents can actually useDeepSeek-V4 is an advanced language model featuring a million-token context window that enables practical agentic applications beyond simple retrieval. The model demonstrates improved efficiency and u→28 Jul 2026microsoft/Mage-VL · Hugging Face - An Efficient Codec-Native Streaming Multimodal Foundation ModelMage-VL is a codec-native, proactive-streaming multimodal foundation model for image and video understanding, whose visual encoder is trained entirely from scratch at a compact 4B scale. It targets a
CompanyNVIDIA8 recent entries18 May 2026Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video GenerationThis guide demonstrates how to fine-tune NVIDIA's Cosmos Predict 2.5 video generation model using parameter-efficient techniques like LoRA (Low-Rank Adaptation) and DoRA (Mixture of Experts-based adap→23 May 2026Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language ModelsNemotron-Labs Diffusion Language Models represent NVIDIA's approach to achieving faster text generation through diffusion-based architectures, potentially offering significant speed improvements over →1 Jun 2026Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and ActionNVIDIA Cosmos 3 is an open-source omni-model designed for physical AI reasoning and action tasks, representing an advancement in multimodal AI systems. The model integrates multiple modalities to enab→4 Jun 2026Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AINemotron 3.5 Content Safety is NVIDIA's multimodal safety solution designed for enterprise AI applications, offering customizable safeguards for both text and image inputs across different global cont→4 Jun 2026How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or AccentThis guide explains how to adapt NVIDIA's Nemotron 3.5 Automatic Speech Recognition (ASR) model to specific languages, domains, or accents through fine-tuning techniques. It likely covers the fine-tun→24 Jun 2026Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModelNVIDIA NeMo AutoModel is a tool designed to accelerate the fine-tuning process of transformer models by automating model selection and configuration. The solution leverages NVIDIA's NeMo framework to →8 Jul 2026Data for AgentsThis resource discusses open datasets and data resources designed to support the development and training of AI agents, likely covering data collection methodologies, benchmark datasets, and best prac→28 Jul 2026microsoft/Mage-VL · Hugging Face - An Efficient Codec-Native Streaming Multimodal Foundation ModelMage-VL is a codec-native, proactive-streaming multimodal foundation model for image and video understanding, whose visual encoder is trained entirely from scratch at a compact 4B scale. It targets a