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Researchers have developed a method for on-policy distillation (OPD) that works across different tokenizers, enabling knowledge transfer between large language models (LLMs) from different model families. The approach us…
Six no-code tools—Atoms, Sim AI, RAGFlow, and others—are enabling AI engineers and developers to build and deploy intelligent applications without coding. These platforms reduce development time by handling infrastructur…
Spam volume has surged past Gmail's native filters, with AI-generated cold email making content-based filtering ineffective. A comparison of 2026 spam blockers shows that only sender-verification approaches stop AI spam …
Zhipu AI's open-weight GLM 5.2 model achieved a 39% F1 score in Semgrep's IDOR detection benchmark, outperforming Claude Code's 32% and Claude Opus 4.8. The MIT-licensed model runs locally, enabling secure code analysis …
Sean Xuefeng Du will present a new hallucination-detection method, Answer-agreement Representation Shaping (ARS), at ICML 2026 in Seoul on July 9. The work, developed at Nanyang Technological University, aims to detect w…
Developers using OpenAI Codex face a security risk due to the lack of a native ignore file to exclude sensitive files from AI agents. An open GitHub issue (#2847) highlights the need for a deterministic mechanism to prev…
A developer argues that programming is fundamentally broken due to complexity and boilerplate, and that large language models (LLMs) are not the solution because they produce inconsistent code and create dependency. Inst…
A mathematician explains how to derive the Singular Value Decomposition (SVD) from scratch by focusing on the motivation behind the concept, arguing that traditional math books often obscure intuitive understanding by pr…
Researchers introduced Autoregressive Boltzmann Generators (ArBG), a new framework for efficient molecular sampling that outperforms flow-based models. The ArBG method, demonstrated on peptide systems including Chignolin…
Researchers propose scaling parameter-efficient fine-tuning (PEFT) to support millions of personalized models on top of shared trillion-parameter foundation models. The study introduces three scaling axes—Scale Up, Scale…
A new tool called GENIUS AI Detector claims to detect AI-generated text by checking for emdashes and antithetical parallelism, offering 100% free and local analysis without using AI itself. The tool's humorous methodolog…
Google's Gemini AI is now the default assistant in Android Auto, raising privacy concerns due to its access to driving locations and always-on microphone. Users can limit data collection by disabling 'Hey Google' detecti…
A concept called UCTF (Universal Compressed Training Format) proposes a mediator layer that extracts language-agnostic semantic meaning from multilingual data and compresses it into a unified token format for AI training…
Anil Madhavapeddy spoke at the CHIA annual conference in Cambridge on AI for science and career guidance for young scientists, and wrote up notes from the first Cloud-Native Geospatial Forum held in London during Climate…
AI pricing is currently below cost, with estimates ranging from $0.60-$0.70 per dollar of compute (optimistic) to less than $0.10 (pessimistic). The eventual re-pricing could cause demand destruction, especially for non-…
A developer built a reusable tool server using the Model Context Protocol (MCP) to expose pgvector search functions as a standalone server that any LLM client can connect to. The implementation uses FastMCP to wrap exist…
Adobe updated its Generative AI User Guidelines on May 15, 2026, prohibiting the creation of pornographic, hateful, violent, or deceptive content, and requiring respect for third-party rights. The company reserves the ri…
Trustpilot partnered with Shopify to embed reviews in merchant stores as AI search click-throughs surged 1,490 percent in FY25. The integration lets Shopify merchants display and manage Trustpilot reviews natively, arriv…
Generative artificial intelligence has learned the structure of the human palate from recipe data to create novel burgers optimized for taste, sustainability, or nutrition. In a blinded sensory evaluation with 101 partic…
Researchers introduced Tapered Language Models (TLMs), an architectural principle that allocates more parameter capacity to earlier layers and less to later layers under a fixed budget. Across four architectures and thre…