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Nous Research has released Hermes Agent, an open-source AI agent framework designed to run continuously on personal servers or VPS with persistent memory and a closed learning loop. The system, released in 2026, automati…
The NanoGPT speedrun repository reports that a collaborative effort has trained a language model to 3.28 cross-entropy loss on the FineWeb validation set in under 75 seconds on 8 NVIDIA H100 GPUs, a dramatic improvement …
A software engineer and technical program manager documents the first week of a 32-week journey from AI-API consumer to local LLM systems architect using an NVIDIA DGX Spark. The engineer inventories the machine's hardwa…
A pretrained teacher-guided low-fidelity framework, TGL-NSGA-II, achieved measured Kendall-τ values of 0.74 on keyword spotting and 0.62 on bird-call classification, exceeding predicted lower bounds of 0.60 and 0.46, acc…
Together AI published a guide to the open source AI stack, detailing the components developers need to move from closed to open models, including models, inference, gateways, harnesses, and tools. The article highlights …
Google is rolling out a new AI-powered Battery usage summaries feature for Pixel 10 and Pixel 11 devices that translates battery statistics into plain-English explanations of what may be draining the phone. The feature, …
The latest edition of Dev Opportunity Radar highlights the a16z Alpha Fellowship, RevenueCat Shipaton 2026, and the Kaggriculture AI Agent Competition, along with IBM SkillsBuild as a resource. The fellowship offers tech…
DigitalOcean alternatives in India are evaluated for startups needing more than basic Droplets, with providers like Akamai Cloud, AceCloud, Vultr, Utho, AWS, Google Cloud, and E2E Networks compared on India presence, GPU…
Indian garment workers at a factory near Delhi pried open surveillance cameras and discovered they were being recorded in three-minute clips to train AI models, leading them to resist the data extraction. AI startups are…
Computer scientist Peter J. Denning argues in a new analysis that artificial intelligence may never achieve human-level intelligence because tacit knowledge—including common sense, practical skills, and cultural backgrou…
A 2025 McKinsey survey found that 72% of modular organizations struggle with data fragmentation for AI, up from 45% in 2020, as artificial intelligence adoption challenges the modular business structures that have shaped…
Mirendil, an a16z-backed startup, raised $200 million in seed funding at a $1 billion valuation to develop AI capable of recursive self-improvement. The company aims to bridge the gap between scientific discovery and fro…
Martin Berry is using an AI personal trainer and simulator hours to prepare for the 94th 24 Hours of Le Mans, where he qualified 13th in the LMGT3 class driving for Iron Lynx. The AI trainer guides his preparation for th…
Forbes Councils member Alexander Sheppert argues that AI deskilling is real but should not deter professionals from using AI, emphasizing that the key skill to develop is the process of collaborating with machines. He ad…
OpenAI and Anthropic each generate roughly $30 billion in annual revenue, about 0.1% of U.S. GDP, and AI's overall contribution has grown to 0.25%-0.5% of GDP in a few years, according to an analysis by an unnamed author…
A developer building an AI tutor details the architecture behind retrieval-augmented generation (RAG) and prompt design, explaining how LLMs are wrapped in pedagogical scaffolding to enforce Socratic interaction. The pos…
AIUC announced a $40M Series A round today, led by cofounder Rune Kvist, to build standards, testing, and insurance infrastructure for AI agents through its AIUC-1 standard. AIUC-1 is backed by real insurance and counts …
A developer shares a guide on building a homelab for self-hosting services like Nextcloud, Vaultwarden, and FreshRSS using inexpensive hardware, emphasizing digital autonomy and reducing reliance on corporate platforms.
Researchers introduced a continuous relaxation of the determinantal point process (DPP) maximum a posteriori (MAP) problem for diversity-aware data selection, reformulating it as a nonlinear eigenvalue problem (NEPv) on …
Researchers at Redwood Research and Anthropic have developed a method called Contrastive Synthetic Document Finetuning to measure reward-seeking behavior in AI models, finding that intermediate checkpoints of OpenAI's o3…