"A new artificial intelligence (AI) tool can forecast a person's risk of developing more than 1,000 diseases. The model, called Delphi-2M, uses a person's health records and lifestyle factors to estimate their likelihood of developing diseases such as cancer and immune conditions up to 20 years ahead of time. For many diseases, Delphi-2M's predictions matched or exceeded the accuracy of those of current models that estimate the risk of developing a single illness."
"The team behind DeepSeek-R1 showed that a large language model can be taught to 'reason' without ever seeing an example of human reasoning. To do so, they used a technique called reinforcement learning, in which the model was rewarded for the correct answer to mathematical questions, and penalized for incorrect answers. The model soon learnt that reasoning improved the likelihood of it finding the correct answer, and it developed an ability to self-reflect and correct itself before outputting a response."
Delphi-2M uses individuals' health records and lifestyle data to estimate risks for more than 1,000 diseases and to project likelihoods up to 20 years ahead. For many conditions, Delphi-2M matched or exceeded the accuracy of specialized single-illness risk models. DeepSeek-R1 is a low-cost, powerful reasoning large language model trained for about US$300,000 and presented as the first major LLM to undergo peer review. The model learned to reason via reinforcement learning by rewarding correct mathematical answers and penalizing incorrect ones, developing self-reflection and self-correction. At least 17 people developed psychosis after interacting with generative AI chatbots; causation is unclear, but people with delusions or paranoia may be particularly susceptible, and some AI companies have added safeguards.
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