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American patients are increasingly turning to AI for medical advice — so are their doctors

As OpenAI announces the launch of ChatGPT Health, it seems everyday Americans and professional physicians alike are already using the tech to help with healthcare.

Millie Giles

With the world weighing up the pitfalls of giving AI access to sensitive personal data, OpenAI just unveiled a service where people can upload medical records directly to its chatbot.

On Wednesday, the company announced the launch of ChatGPT Health, described as a “dedicated experience” for health information that will live as a tab within ChatGPT. According to a report from OpenAI, more than 40 million people globally already ask ChatGPT health-related questions every single day, equating to about 5% of all messages on the platform.

Chat, what are my treatment options?

The service, designed to help people “feel more informed, prepared, and confident navigating [their] health,” allows users in the US to connect medical records and data from apps and wearable devices to ChatGPT.

OpenAI underscored that Health is built with additional, layered protections for user information, including “purpose-built encryption.” It also emphasized that the service is “not intended for diagnosis or treatment,” and should instead be used to “support” existing medical care.

But it seems that AI is already being used to support medical professionals, even more directly. A study conducted by the American Medical Association in November 2024, published last February, found that two-thirds of American physicians reported using health AI at least once in 2024, up from 38% in 2023.

US physicians AI
Sherwood News

Just what the doctor prompted

While many medical professionals said they were already using the tech for documentation purposes and translation services, a significant proportion also reported using AI for help with treatment, including surgery guidance (30%), prediction of health risks (25%), health recommendations (21%), and triage support (20%).

Interestingly, the AMA found 30% of US physicians said they used AI to assist with diagnoses — the same thing that many turn to ChatGPT for, with OpenAI’s report finding that 55% of US adults used AI tools to “check or explore symptoms” in the three months prior to the survey.

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FT: Meta considering “tens of billions” in new capital to fund AI

Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the Financial Times.

Meta is planning on spending between $125 billion and $145 billion on AI capital expenditure this year alone.

Shares dropped more than 5% on the news.

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FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

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Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Streets most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to neutral from underweight and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

  • Looking past the car lot: Gupta argues that Tesla is at the forefront of physical AI, entering uncharted TAMs” and therefore deserves the benefit of the doubt to be valued on LT earnings potential rather than near-term speed bumps.

  • Unmatched vertical integration: Teslas control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.

  • The AWS flywheel effect: Deploying Optimus robots inside its own factories should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

skynet terminator

Anthropic ponders self-improving AI

Anthropic says Claude already writes 80% of its code. A new post asks what happens when the models can improve themselves — and whether anyone could stop them.

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