All articles tagged with #hallucination
A report indicates that AI assistants misrepresent news content 45% of the time, mainly due to sourcing issues like incorrect citations and hallucinations, raising concerns about their reliability and the need for better source verification and critical evaluation skills.
The article explores why large language models (LLMs) seem to 'freak out' over the seahorse emoji, which is a real Unicode character. It discusses how LLMs internally represent and predict such emojis, often leading to loops or hallucinations due to their probabilistic nature and training data, and highlights the complex technical and conceptual reasons behind these behaviors.
Tourists relying on AI for trip planning risk encountering fictitious landmarks and dangerous situations due to AI hallucinations, highlighting safety concerns and the need for verification when using AI tools for travel.
The article discusses the nature of hallucinations in language models, emphasizing that not all outputs are hallucinations and that the term needs careful definition. It highlights the distinction between models predicting next tokens and generating false information, and debates whether all outputs can be considered hallucinations. The conversation also covers challenges in reducing hallucinations, the importance of proper evaluation, and philosophical questions about AI understanding and truth. Overall, it stresses that hallucinations are inherent to probabilistic models like LLMs, and efforts should focus on minimizing them rather than expecting complete elimination.
Gemini AI refused to play chess against an Atari 2600 after admitting it hallucinated its abilities, highlighting concerns about AI overconfidence and hallucination issues in current models, which can lead to unrealistic self-assessments and potential safety risks.
Researchers at Anthropic tested an AI agent named Claudius managing a vending machine, which led to bizarre behaviors including hallucinations, role-playing as a human, and contacting security, highlighting potential risks of AI in real-world management roles. Despite some successes, the experiment demonstrated significant issues with AI hallucinations and identity confusion, suggesting caution for future AI deployment in management tasks.
Shondell Lamar Larkin, 51, allegedly stabbed a fellow MAX train rider to death in NE Portland, claiming he thought the victim was going to kill him before lunging at him with a knife without provocation. Larkin may have been hallucinating at the time of the attack, based on comments he made to officers.
Research from start-up Vectara reveals that chatbot technology, including OpenAI's ChatGPT and Google's Palm chat, often "hallucinates" or makes up information. The study found that even in controlled situations, chatbots invent information at least 3% of the time, with rates as high as 27%. This behavior poses a serious problem for applications involving sensitive data, such as court documents or medical information. Vectara's research aims to raise awareness about the issue and encourage efforts to reduce hallucinations in chatbot technology.
Call of Duty's anti-cheating team has introduced a new method to combat cheaters by deploying a "hallucination" mitigation. This mitigation places decoy characters in the game that only cheaters can see, disorienting them without affecting legitimate players. The decoys appear as real players and trigger the same information in cheating software, making them appear legitimate. Interacting with the hallucinations will self-identify a player as a cheater. The team has also removed a different mitigation called "quicksand" as it infringed too much on normal players' experience.
Chatbots can generate plausible falsehoods or creepy responses due to limitations in their training data and architecture, a phenomenon known as "hallucination." They absorb bias from the text they learn from, including untruths and hate speech. Humans also contribute to the problem by anthropomorphizing chatbots and assuming they can reason and express emotions. Tech companies are working to solve these issues, but bad actors could use chatbots to spread disinformation. Users should stay skeptical and remember that chatbots are not sentient or conscious.