Forbes Councils Member Morey Haber writes that ownership of AI-generated content is considerably more complicated than accepting a licensing agreement or acceptable use policy. The Forbes Innovation p…
OpenAI announced new AI-powered advertising experiences, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify, according to a post on the OpenAI Blog. The announc…
Shawn Rosemarin, a Forbes Councils Member, argues in a Forbes Innovation piece that organizations have focused on building data pipelines while neglecting the data-refining infrastructure needed for A…
Spain's data protection agency (AEPD) reported the country's first personal data breach caused by an autonomous AI agent, which used a known large language model to scan generic files, run vulnerabili…
The Scottish government announced that new datacentres above 50MW must submit environmental impact assessments during the planning process, stopping short of an outright moratorium ahead of a Holyrood…
US vice-president JD Vance dismissed calls for global regulation of AI safety risks, telling companies building the most advanced models, "If you're building Frankenstein, stop." Vance directed the re…
A survey of more than 1,500 leading AI researchers put the average estimated probability of an AI extinction scenario at 18 percent in 2024, according to The Decoder. The debate drew comments from Ant…
Shakeel Hashim argues in The Guardian that the US government is failing Americans on AI, writing that Donald Trump and Republican leadership want companies to regulate themselves, which Hashim calls a…
Anthropic founder Dario Amodei argued in a Saturday essay that tech companies need to "slow" the pace at which they develop the newest and most sophisticated AI models, part of a wave of recent warnin…
A new arXiv paper (2609.16592v1) introduces an end-to-end framework for generating context-specific large language model benchmark datasets by combining expert input with synthetic data generation. Th…
Researchers introduced VideoMM, an adaptive macro-micro inference framework for video multimodal large language models that decouples region selection from detailed reasoning, according to an arXiv pa…
A new arXiv paper (2609.16589v1) reports that large language models possess an intrinsic value system, based on projecting responses from 106 LLMs at 150,000 queries per model and 95,000 human survey …
A new arXiv paper (2609.16564v1) proposes a pre-generation triage layer for retrieval-augmented generation (RAG) pipelines that treats a source's material relationship to the query as query dependent,…
A research paper posted to arXiv introduces CoAdapt, an adaptive collaborative perception framework for Industrial IoT robotic swarms in which a Large Language Model acts as a runtime fusion controlle…
A new arXiv paper (2609.16730v1) introduces LSREP, a Longitudinal State-Replay Evaluation Protocol for conversational memory, with ICE v2 as its audited local-first architecture case study. The privat…
A new arXiv paper (arXiv:2609.16768v1) proposes a coverage-aware virtual IMU augmentation framework to improve human activity recognition (HAR) when labeled wearable-sensor data is scarce. The method …
Researchers introduced little m, an AI agent that combines a domain-specific knowledge repository with LLM-driven interaction to formulate industrial process control optimization models from unstructu…
A new arXiv paper (2609.16752v1) introduces the Cognitive Field Network (CFN), a recurrent Transformer in which an organized hidden field re-enters subsequent inference via the update rule Phi_{n+1}=F…
A new arXiv paper (2609.16779v1) presents the first end-to-end approach that enables large language models to perform the complete Analytic Hierarchy Process (AHP) workflow, according to its authors. …
Researchers proposed an Affect-Prototype-Conditioned Fusion (APCF) framework for open-vocabulary multimodal emotion recognition that handles incomplete and unsynchronized modal data, according to an a…