accuracy
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Blog
‘A complete accuracy collapse’: Apple throws cold water on the potential of AI reasoning – and it’s a huge blow for the likes of OpenAI, Google, and Anthropic
Apple has suggested that AI reasoning models have clear limits when it comes to solving complex problems, undermining developer arguments that they are useful for tasks that a human would traditionally solve. Reasoning models can solve more complex problems than standard large language models (LLMs) by breaking them down into a series of smaller problems which are solved one by…
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Workers are warming to agentic AI tools, but concerns over accuracy linger
Most workers in the US and UK are using AI agents at work, according to new research, despite the fact that a third don’t trust their reliability or quality. Nearly six-in-ten are using AI agents on a daily basis, and told YouGov researchers commissioned by Pegasystems that they’re seeing useful results. Four-in-ten highlighted the automation of tedious tasks as the…
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OpenAI’s SimpleQA tool for discerning genAI accuracy — right message, wrong messenger – Computerworld
OpenAI pretty much concedes this in the report: “In this work, we will sidestep the open-endedness of language models by considering only short, fact-seeking questions with a single answer. This reduction of scope is important because it makes measuring factuality much more tractable, albeit at the cost of leaving open research questions such as whether improved behavior on short-form factuality…
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Researchers Develop AI Model That Can Fool CAPTCHA With 100% Accuracy
There’s no doubt that CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) puzzles can get super annoying, especially if you’re trying to book that last-minute plane ticket or are simply trying to log into a website. Yes, the ones where you have to mark stairs, bikes, buses, and crosswalks from a series of grids. Well, that…
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AI hallucinations, accuracy still top concerns for UK tech leaders as adoption continues
Business leaders are wary of generative AI, according to new research from KPMG, with many citing major concerns about its impact on business performance. Six-in-ten tech leaders told KPMG that the accuracy of results and the potential for hallucinations are their biggest concern when adopting generative AI tools. Boards are also worried about errors in the underlying data and information…
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