Moderna's mRNA-based seasonal flu vaccine proved 27% more effective at preventing influenza infections than standard flu shots in a Phase 3 trial involving nearly 41,000 people aged 50 and above, the firm said this week.

The company announced that mRNA-1010 had an overall vaccine efficacy that was 26.6% higher than conventional shots, rising to 27.4% higher in participants aged 65 and older during the six-month study period. The 2024-2025 flu season hospitalized an estimated 770,000 Americans, according to the Centers for Disease Control and Prevention.

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A new study analyzing data from more than 60 previous research projects has found evidence that there is "no safe amount" of processed meat consumption -- so much so that even small daily portions are being linked to increased disease risk.

The research, published Monday in the journal Nature Medicine, examined connections between processed meats, sugar-sweetened beverages and trans fatty acids and the risk of type 2 diabetes, colorectal cancer and ischemic heart disease. People who ate as little as one hot dog daily showed an 11% greater risk of type 2 diabetes and 7% increased risk of colorectal cancer compared to those who consumed none. Drinking approximately one 12-ounce soda per day was associated with an 8% increase in type 2 diabetes risk and 2% increased risk of ischemic heart disease.

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President Donald Trump's administration plans to restrict shipments of AI chips from the likes of Nvidia to Malaysia and Thailand, part of an effort to crack down on suspected semiconductor smuggling into China. Bloomberg: A draft rule from the Commerce Department seeks to prevent China -- to which the US has effectively banned sales of Nvidia's advanced AI processors -- from obtaining those components through intermediaries in the two Southeast Asian nations, according to people familiar with the matter. The rule is not yet finalized and could still change, said the people, who requested anonymity to discuss private conversations.

Officials plan to pair the Malaysia and Thailand controls with a formal rescission of global curbs from the so-called AI diffusion rule, the people said.

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Reuters: The European Union's landmark rules on AI will be rolled out according to the legal timeline in the legislation, the European Commission said on Friday, dismissing calls from some companies and countries for a pause.

Google owner Alphabet, Facebook owner Meta and other U.S. companies as well as European businesses such as Mistral and ASML have in recent days urged the Commission to delay the AI Act by years. Financial Times adds: In an open letter, seen by the Financial Times, the heads of 44 major firms on the continent called on European Commission President Ursula von der Leyen to introduce a two-year pause, warning that unclear and overlapping regulations are threatening the bloc's competitiveness in the global AI race.

[...] The current debate surrounds the drafting of a "code of practice," which will provide guidance to AI companies on how to implement the act that applies to powerful AI models such as Google's Gemini, Meta's Llama and OpenAI's GPT-4. Brussels has already delayed publishing the code, which was due in May, and is now expected to water down the rules.

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Software engineer Sean Goedecke argues that AI coding agents have already been commoditized because they require no special technical advantages, just better base models. He writes: All of a sudden, it's the year of AI coding agents. Claude released Claude Code, OpenAI released their Codex agent, GitHub released its own autonomous coding agent, and so on. I've done my fair share of writing about whether AI coding agents will replace developers, and in the meantime how best to use them in your work. Instead, I want to make what I think is now a pretty firm observation: AI coding agents have no secret sauce.

[...] The reason everyone's doing agents now is the same reason everyone's doing reinforcement learning now -- from one day to the next, the models got good enough. Claude Sonnet 3.7 is the clear frontrunner here. It's not the smartest model (in my opinion), but it is the most agentic: it can stick with a task and make good decisions over time better than other models with more raw brainpower. But other AI labs have more agentic models now as well. There is no moat.

There's also no moat to the actual agent code. It turns out that "put the model in a loop with a 'read file' and 'write file' tool" is good enough to do basically anything you want. I don't know for sure that the closed-source options operate like this, but it's an educated guess. In other words, the agent hackers in 2023 were correct, and the only reason they couldn't build Claude Code then was that they were too early to get to use the really good models.

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