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AI tools that can generate realistic images are becoming a significant concern for research integrity specialists. The ease with which these tools can create fake scientific figures that are hard to distinguish from real ones raises fears of an increasingly untrustworthy scientific literature, Nature reports. Companies like Proofig and Imagetwin are developing AI-based solutions to …
The FrontierMath benchmark, developed by Epoch AI, presents hundreds of challenging math problems that require deep reasoning and creativity to solve. Despite the growing power of AI models like GPT-4o and Gemini 1.5 Pro, they are solving fewer than 2% of these problems, even with extensive support, according to Epoch AI. The benchmark was created …
Amazon is investing heavily in developing its own AI chips through Annapurna Labs, an Austin-based startup it acquired in 2015 for $350 million. The company aims to boost efficiency in its data centers and reduce costs for both itself and its AWS customers, the Financial Times reports. According to Dave Brown, vice-president of compute and …
OpenAI is reportedly developing new strategies to deal with a slowdown in AI model improvements. According to The Information, OpenAI employees testing the company’s next flagship model, code-named Orion, found less improvement compared to the jump from GPT-3 to GPT-4, suggesting the rate of progress is diminishing. In response, OpenAI has formed a foundations team …
Artificial intelligence is transforming the healthcare industry, with potential applications in diagnostics, treatment, communication, and administration. Some doctors are pioneering the use of AI to improve patient outcomes, such as accelerating scan interpretation, personalizing treatment plans, and facilitating doctor-patient interactions. However, the technology is not yet capable of fully replicating doctors’ expertise and still requires …
Gary Marcus, a prominent AI expert, argues that pure scaling of AI systems without fundamental architectural changes is reaching a point of diminishing returns. He cites recent comments from venture capitalist Marc Andreesen and editor Amir Efrati confirming that improvements in large language models (LLMs) are slowing down, despite increasing computational resources. Marcus warns that …
Two recent studies provide the first empirical evidence that having AI models debate each other can help a human or machine judge discern the truth, reports Nash Weerasekera for Quanta Magazine. The approach, first proposed in 2018, involves two expert language models presenting arguments on a given question to a less-informed judge, who then decides …
Geoffrey Hinton, Jensen Huang, and Fei-Fei Li were instrumental in launching the deep learning revolution, despite facing skepticism from colleagues, Timothy B. Lee writes. Hinton spent decades promoting neural networks and developed the backpropagation algorithm for training them efficiently, as detailed in Cade Metz’s book “Genius Makers.” Huang, CEO of Nvidia, recognized the potential of …
Google subsidiary DeepMind has introduced SynthID-Text, a system for watermarking text generated by large language models (LLMs). By subtly altering word probabilities during text generation, SynthID-Text embeds a detectable statistical signature without degrading the quality, accuracy, or speed of the output, as described by Pushmeet Kohli and colleagues in the journal Nature. While not foolproof, …
Generative AI is blurring the distinction between content and data, argues Robert Rose in an article for the Content Marketing Institute. As AI gains prevalence, companies will need people in new roles to guide how AI-generated insights are transformed into meaningful value rather than settling for “good enough” AI-produced content. Rose asserts that while AI …