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Dr. Lecia Sequist is the Program Director of the Cancer Early Detection & Diagnostics Clinic at Mass General Cancer Center. For nearly 20 years, she’s specialized in lung cancer.

Observing first-hand the obstacles involved in current screenings of lung cancer, Dr. Sequist made a career switch to the research of early lung cancer detection. This led her to meet MIT professor, Regina Barzilay. Together, they created Sybil – an open-source AI tool that uses pattern recognition to predict one’s risk of lung cancer.

Dr. Sequist shares the benefits of AI in preventative medicine, how AI works to assess cancer risks, the logistics of using AI, and the importance of getting screened for lung cancer.

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Full story and transcript → https://www.thepatientstory.com/medical-experts/ai-lung-cancer-risks/

OpenAI combines the different GPT-4 models into a kind of “supermodel” in ChatGPT-4 powered ChatGPT can now decide for itself how it can best help you.

OpenAI is currently preparing a GPT-4 update for ChatGPT that allows you to upload PDFs and many other file types. Once uploaded, ChatGPT can be used to discuss the information in the document, such as extracting aspects or getting an explanation.

This feature is not new. It was previously hidden in the Advanced Data Analysis model, which you had to select from the model switcher to get the file upload button.

Humane is set to reveal more about its mysterious new device on November 9th, but a new report from The Information says the gadget could have a high price.

The AI Pin, the new gadget / wearable device / projector / thing from the secretive startup Humane, might cost as much as $1,000 and may require a monthly subscription for data, according to The Information.

The mysterious device has been in development for years, but we got our first good look at it during co-founder Imran Chaudhri’s presentation at TED this year. In the presentation, he used then unnamed device to accept a phone call, get information about where to buy a gift, translate a sentence that is then spoken in an AI-made… More.


We might learn if that’s true on November 9th.

OpenAI’s new preparedness team will address the potential dangers associated with AI, including nuclear threats.

OpenAI is forming a new team to mitigate the “catastrophic risks” associated with AI. In an update on Thursday.

The team will also work to mitigate “chemical, biological, and radiological threats,” as well as “autonomous replication,” or the act of an AI replicating itself. Some other risks that the preparedness team will address include AI’s ability to trick humans, as well as cybersecurity threats.

We believe that frontier AI… More.


The preparedness team will address several potential threats.

Sam Altman sat comfortably.

Ever since the gathering, Zuckerberg and Meta have rapidly shipped products that compete directly with Altman’s OpenAI, opening up one of the most intense — and overlooked — battles in tech today. Meta’s countered OpenAI’s GPT-4 with… More.


A fierce, underrated, and full-contact battle is brewing between the social networking company and the formidable AI upstart.

New York Mayor Eric Adams doesn’t speak Spanish. But it sure sounds like he does. He’s been using artificial intelligence software to send prerecorded calls about city events to residents in Spanish, Mandarin Chinese, Urdu and Yiddish. The voice in the messages mimics the mayor but was generated with AI software from a company called ElevenLabs.

“People stop me on the street all the time and say, ‘I didn’t know you speak Mandarin,’” Adams said at a news conference this month.

Experts have warned for years that AI will change our democracy by distorting reality. That future is already here. AI is being used to fabricate voices, fundraising emails and “deepfake” images of events that never… More.


The first AI election is here. Our tech columnist proposes some ground rules for candidates’ use of artificial intelligence.

With a massive $2 billion reported investment from Google, Anthropic joins OpenAI in reaping the benefits of leadership in the artificial intelligence space, receiving immense sums from the tech giants that couldn’t move fast enough themselves. A byword for the age: Those who can, build; those who can’t, invest.

The funding deal, according to sources familiar cited by The Wall Street Journal, reportedly involves $500 million now and up to $1.5 billion later, though subject to what, if any, timing or conditions is unclear. I’ve asked Anthropic for comment on the matter.

It recalls — though it does not quite match — Microsoft’s enormous investment in OpenAI early this year. But with Amazon committing to as much as $4 billion to Anthropic, the funding gap is probably more theoretical than practical.

“As the world urbanizes, urban planners and policymakers need to make sure urban design and policies adequately address critical issues such as infrastructure and transportation improvements, poverty and the health and safety of urbanites, as well as the increasing inequality within and across cities.”

Increasing population shifts from rural to urban areas are resulting in the growth of cities and towns, a process referred to as urbanization. However, this development can put a strain on urban infrastructure, such as transportation, housing, sanitation, and utilities, leading to urban decay.


Everett Atlas/iStock.

Urban decay often manifests as the deterioration of buildings and infrastructure. This can include vacant and abandoned buildings, crumbling or neglected infrastructure, and a lack of maintenance. It can also lead to societal problems such as rampant inequality and poverty.

“We hope that this soft robotic arm exemplifies a future where machines assist, complement, and understand human needs more deeply than ever before.”

Drawing inspiration from the movements of elephant trunks and octopus tentacles, researchers at the CREATE lab of t. It ishe Swiss Federal Institute of Technology Lausanne (EPFL) has developed a revolutionary robotic structure, the “trimmed helicoid.”

Set to usher in greater compliance and control in robotic design, this structure ensures safer interactions between humans and robots and is a result of blending computational modeling with astute biological observations.