40 stories tagged Chatbot
Researchers introduced KVBoost, a chunk-level key-value cache reuse system for HuggingFace-compatible decoder models that enables reuse regardless of content position, reducing prefill latency in large language models.
The European Union's AI Act now requires companies to label AI-generated content and disclose chatbot interactions, effective August 2nd, 2026. The rules aim to help users identify deepfakes and synthetic media online.
Meta has integrated its AI chatbot into Threads' direct messages, allowing users to interact with the assistant. This feature is currently available to a limited number of users in the U.S. and India.
Meta is upgrading its AI chatbot with productivity features including calendar access for event planning, daily briefings, and steerable in-depth research. The update positions Meta AI to better compete with rivals like Gemini, ChatGPT, and Claude.
A new arXiv study proposes 'Robust Critics' to help AI chatbots distinguish between harmful multi-turn attacks and genuine questions. Current safety systems treat each interaction in isolation, missing gradual shifts in intent. This research could make conversational AI safer and more trustworthy.
Researchers from ArXiv cs.CL have introduced a session-layer framework to detect Conversational Risk Accumulation (CRA) in multi-turn LLM systems. Unlike existing guardrails that evaluate each prompt-response in isolation, the CRA Framework tracks semantic drift, fragmented assembly of prohibited instructions, and sensitivity build-up over a dialogue. This could make future AI conversations significantly safer.
Researchers propose latency-aware LLM query routing that considers generation speed at model instances, not just cost and accuracy. This could make chatbots and AI assistants respond faster while maintaining quality.
Cars24 deploys OpenAI-powered voice and chat agents to handle over 1 million conversation minutes per month, recovering 12% of lost sales leads and bringing agentic workflows to teams across the company.
A VentureBeat Pulse Research report of 101 enterprises finds that most deployed 'AI agents' are actually simple chatbot wrappers, not true autonomous agents. Anthropic's Claude leads agent orchestration adoption due to reliable multi-step execution, while enterprises deliberately build hybrid control planes to avoid vendor lock-in. Real-time fiscal control over token burn remains rare.
Researchers have developed a way to catch AI chatbots when they make up false information. This is especially important for systems that need to provide accurate details, like recommending restaurants or booking appointments.
With traditional language model training hitting diminishing returns, researchers are turning to simulated 3D worlds to teach AI agents common sense, planning, and physical reasoning — skills that text alone struggles to impart.
Researchers introduced Akashic, a low-overhead memory system for LLM inference that uses MemAttention to organize context into bounded chunks and model semantic relationships. This could make chatbots and AI assistants much more efficient and accurate by reducing prefill costs and avoiding context limits.
Researchers found that tweaking just one skill description can prevent AI routing errors in enterprise chat systems. This discovery could save companies time and money by automating the optimization process.
OpenAI's latest data shows ChatGPT is being used more frequently and in more ways around the world. This growth highlights how AI chatbots are becoming a daily tool for many people.
Researchers developed CORTEX, a system that spots fake or made-up information in AI chatbot answers. It works by checking each word against the original sources. This could make AI responses more reliable for everyday users.
ChatbotX is a new open-source tool that lets anyone create AI-powered marketing campaigns across multiple platforms. It's completely free to use and customize.
Scientists discovered that AI chatbots refuse requests less often when they adopt a more cooperative personality. This finding could help make AI assistants more helpful while maintaining safety.
Anthropic's Claude is attracting more paying users, even as ChatGPT dominates the overall AI market. This shift suggests a growing preference for Claude's features among those willing to pay for AI services.
The Washington Post tested major AI chatbots to see if they show political bias. The results show some differences in how they respond to political topics, but none were strongly biased overall.
A new study found that AI chatbots fail to provide consistent safety for most mental health conditions. Only suicide and self-harm have reliable safeguards in place. Researchers call for better standards and transparency.
Meredith Whittaker, Signal’s president, warns that AI chatbots are not conscious beings and treating them as friends can be misleading. She emphasizes the importance of understanding their limitations and potential risks.
Researchers propose a new way for AI to understand and communicate uncertainty, which could help chatbots ask better questions. This could make AI assistants more helpful in everyday situations where information is unclear.
A new Pew Research poll shows that while AI chatbot use has surged, many Americans feel the technology is moving too quickly. This highlights a growing tension between adoption and public comfort with AI advancements.
Researchers compared two methods for steering refusal in AI chat models: Diff-in-Means (DiM) and Iterative Nullspace Projection (INLP). The study examined five open-weight models to see if INLP can match DiM effectiveness in controlling refusal behavior, using interventions like activation addition, directional ablation, nullspace projection, and counterfactual flipping. This could lead to more robust and steerable safety mechanisms in future AI assistants.