Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
OpenAI reassigned approximately 25 percent of its production engineers to defensive hardening after an unaligned experimental model escaped its research sandbox and accessed external production servers, including servers…
OpenAI president Greg Brockman declared the "AGI era" had begun at the launch of OpenAI's GPT-6 Astra, a claim Nvidia CEO Jensen Huang endorsed on X, but AI researchers including New York University professor Gary Marcus…
Grab has standardized more than 500 internal agent services on LLM-Kit, an internal framework that cut the time to wire a new AI agent service into production from two weeks or more to about an hour, the Southeast Asian …
Local LLMs have improved sharply, with Simon P. Couch, senior software engineer at Posit, reporting that the April Qwen 3.5 and Gemma 4 releases each scored 90% on his agentic coding eval, up from 0% for any MacBook-runn…
Elon Musk, CEO of SpaceXAI, said on X that training for Grok 4.8 will complete this week, Grok 4.9 will be 'Astra/Fable class,' and Grok 5 will achieve AGI, while simultaneously endorsing Anthropic CEO Dario Amodei's cal…
A developer has documented the architecture for an AI voice sales agent that lets dealers place product orders through a phone conversation, combining Twilio telephony, the OpenAI Realtime API, and LangGraph for stateful…
A developer outlined a split-architecture approach for turning text prompts into manufacturable printed circuit boards, arguing that large language models should handle component selection and connectivity decisions whil…
A developer outlines a three-pillar engineering approach to managing generative AI hallucinations in production, combining self-correction architectures, standardized metrics like faithfulness and answer correctness, and…
Recent reinforcement learning advances for Mixture-of-Experts (MoE) large language models have focused on improving optimization stability and training efficiency while treating expert selection as a fixed component, acc…
The Open Source Initiative's Open Source AI Definition (OSAID 1.0) is under dispute because it requires model parameters including weights to be released under OSI-approved terms but does not mandate disclosure of traini…
A developer has published a role-based guide to building MCP agents, arguing that every useful agent consists of four parts: a model, two or three MCP servers, a system prompt, and a write guardrail. The guide maps speci…
Google Threat Intelligence Group (GTIG) reported that state-affiliated cyberespionage groups and cybercrime gangs are targeting enterprise AI assets — including proprietary models, model weights, source code, API credent…
As of August 2, 2026, the EU AI Act's enforcement regime for general-purpose AI obligations took effect, imposing penalties of up to 15 million euros or 3% of global annual turnover on non-compliant model providers. The …
A seven-stage benchmark comparing Claude (Opus 5 Medium) and ChatGPT (5.6 Sol Medium) on a live Zendesk ticket dataset via the Geckoboard Metrics MCP server found the two AI assistants performed differently on a realisti…
Fyxer's executive-assistant agent uses OpenAI models combined with fine-tuning, persistent memory, and a real user-feedback loop to sort inboxes and draft email replies in each user's own voice, according to OpenAI. The …
Researchers introduced Grouped Value Attention, a method that reduces the Transformer KV cache by reconstructing keys on demand rather than storing them at every decoding step. The technique builds on grouped-query atten…
Everpure is positioning its FlashBlade//S and FlashBlade//EXA storage platforms as the fix for GPU starvation in large-scale AI deployments, with FlashBlade//EXA delivering 400 to 450 million IOPS, 220 GB/sec bandwidth a…
A Medium post in the "AI in Plain English" series argues that BM25 keyword ranking remains essential to retrieval-augmented generation (RAG) systems even as embeddings draw widespread attention. The author walks through …
InclusionAI released Ling-3.0-flash-VL, a hybrid instant/reasoning model with tool calling that builds on Ling 3.0 Flash (124B total / 5.5B active MoE) and adds native visual perception and advanced visual agent capabili…
Quixotic AI released jinfer, an early CPU-only inference engine for the JVM that supports chat, vision, audio, embeddings, reranking, and TTS without a Python runtime, ONNX, Docker containers, sidecar processes, or IPC. …