Published on: 2025-07-01 04:23:30
Last weekend, Bloomberg’s Mark Gurman and Drake Bennett published a comprehensive look into what went wrong with Apple Intelligence. The piece details everything from years-long oversights to a deep misunderstanding of AI’s potential at the company’s highest levels. But more importantly, it also outlines what Apple is doing now to catch up. One of those efforts? A push into synthetic data. As Gurman and Bennett put it: All this has left Apple’s researchers more heavily reliant on datasets it
Keywords: ai apple data hallucinations synthetic
Find related items on AmazonPublished on: 2025-07-13 04:00:00
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hallucination is a risk that limits the real-world deployment of enterprise AI. Many organizations have attempted to solve the challenge of hallucination reduction with various approaches, each with varying degrees of success. Among the many vendors that have been working for the last several years to reduce the risk is Vectara. The company got its start as an early pi
Keywords: ai approach correction hallucination hallucinations
Find related items on AmazonPublished on: 2025-07-25 16:04:14
Artificial intelligence models have long struggled with hallucinations, a conveniently elegant term the industry uses to denote fabrications that large language models often serve up as fact. And judging by the trajectory of the latest "reasoning" models, which the likes of Google and AI have designed to "think" through a problem before answering, the problem is getting worse — not better. As the New York Times reports, as AI models become more powerful, they're also becoming more prone to hal
Keywords: ai hallucinations models openai reasoning
Find related items on AmazonPublished on: 2025-08-01 12:08:33
AI-generated computer code is rife with references to non-existent third-party libraries, creating a golden opportunity for supply-chain attacks that poison legitimate programs with malicious packages that can steal data, plant backdoors, and carry out other nefarious actions, newly published research shows. The study, which used 16 of the most widely used large language models to generate 576,000 code samples, found that 440,000 of the package dependencies they contained were “hallucinated,” m
Keywords: code hallucinations malicious package software
Find related items on AmazonPublished on: 2025-09-24 01:18:00
When someone sees something that isn't there, people often refer to the experience as a hallucination. Hallucinations occur when your sensory perception does not correspond to external stimuli. Technologies that rely on artificial intelligence can have hallucinations, too. When an algorithmic system generates information that seems plausible but is actually inaccurate or misleading, computer scientists call it an AI hallucination. Editor's Note: Guest authors Anna Choi and Katelyn Xiaoying Me
Keywords: ai hallucinations information occur systems
Find related items on AmazonPublished on: 2025-09-24 01:18:00
When someone sees something that isn't there, people often refer to the experience as a hallucination. Hallucinations occur when your sensory perception does not correspond to external stimuli. Technologies that rely on artificial intelligence can have hallucinations, too. When an algorithmic system generates information that seems plausible but is actually inaccurate or misleading, computer scientists call it an AI hallucination. Editor's Note: Guest authors Anna Choi and Katelyn Xiaoying Me
Keywords: ai hallucinations information occur systems
Find related items on AmazonPublished on: 2025-11-07 17:15:58
Hallucinations in code are the least dangerous form of LLM mistakes A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination—usually the LLM inventing a method or even a full software library that doesn’t exist—and it crashed their confidence in LLMs as a tool for writing code. How could anyone productively use these things if they invent methods that don’t exist? Hallucinations in code are the least harmful hallucination
Keywords: code hallucinations llm llms ve
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