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Researchers recently discovered that eight different psychiatric conditions share a common genetic basis.

A new study has now honed in on some of those shared genetic variants to understand their properties. They found many are active for longer during brain development and potentially impact multiple stages, suggesting they could be new targets to treat multiple conditions.

“The proteins produced by these genes are also highly connected to other proteins,” explains University of North Carolina geneticist Hyejung Won. “Changes to these proteins in particular could ripple through the network, potentially causing widespread effects on the brain.”

People with pockets of fat hidden inside their muscles are at a higher risk of dying or being hospitalized from a heartattack or heart failure, regardless of their body mass index, according to research published in the European Heart Journal.

This ‘intermuscular’ fat is highly prized in beef steaks for cooking. However, little is known about this type of body fat in humans, and its impact on health. This is the first study to comprehensively investigate the effects of fatty muscles on heart disease.

The new finding adds evidence that existing measures, such as body mass index or waist circumference, are not adequate to evaluate the risk of heart disease accurately for all people.

In today’s AI news, OpenAI released its o3-mini model one week ago, offering both free and paid users a more accurate, faster, and cheaper alternative to o1-mini. Now, OpenAI has updated the o3-mini to include an updated chain of thought.

In other advancements, Hugging Face and Physical Intelligence have quietly launched Pi0 (Pi-Zero) this week, the first foundational model for robots that translates natural language commands directly into physical actions. “Pi0 is the most advanced vision language action model,” said Remi Cadene, a research scientist at Hugging Face.

S Luxo Jr., Apple And, one year later the Rabbit R1 is actually good now. It launched to reviews like “avoid this AI gadget”, but 12 months have passed. Where is the Rabbit R1 now? Well with a relentless pipeline of updates and novel AI ideas…it’s actually pretty good now!?

In videos, Moderator Shirin Ghaffary (Reporter, Bloomberg News) leads a expert panel which includes; Chase Lochmiller (Crusoe, CEO) Costi Perricos (Deloitte, Global GenAI Business Leader) Varun Mohan (Codeium, Co-Founder and CEO) that ask, how are we building the infrastructure to support this massive global technological revolution?

Meanwhile, Humans are terrible at detecting lies, says psychologist Riccardo Loconte… but what if we had an AI-powered tool to help? He introduces his team’s work successfully training an AI to recognize falsehoods.

And, Mo Gawdat, the former Chief Business Officer for Google X, bestselling author, the founder of ‘One Billion Happy’ foundation, and co-founder of ‘Unstressable,’ joins Professor Scott Galloway to discuss the state of AI — where it stands today, how it’s evolving, and what that means for our future.

We close out with, Dialogue at UTokyo GlobE held an event with CEO Sam Altman of OpenAI and CPO, Kevin Weil. President Teruo Fujii and Executive Vice President Kaori Hayashi welcomed the two guests, along with 36 students whose major ranged from engineering to medicine to philosophy.

Thats all for today, but AI is moving fast — like, comment, and subscribe for more AI news! Please vote for me in the Entrepreneur of Impact Competition today! Thank you for supporting my partners and I — it’s how I keep Neural News Network free.

[](https://open.substack.com/pub/remunerationlabs/p/openais-o3-…Share=true)


This OpenAI update is available to free and paid users and could make getting the results you want easier.

The enzyme PKMzeta is crucial for the maintenance of long-term memories, but a closely related enzyme provides a back-up should PKMzeta fail, thus explaining the controversy over why deleting the gene for PKMzeta may not appear to impair memory.

GitHub has announced a slew of updates for Copilot, while also giving a glimpse into a more agentic future for its AI-powered pair programmer.

Among the notable updates includes a feature called Vision for Copilot, which allows users to attach a screenshot, photo, or diagram to a chat, with Copilot generating the interface, code, and alt text to bring it to life.

So for example, someone on a marketing team could take a screenshot of a web page and illustrate some changes they want made to that page. Rather than requesting such changes via text prompts, it’s now possible to upload an image and just ask Copilot to implement the changes as indicated in the file.

A Canadian startup called Xanadu has built a new quantum computer it says can be easily scaled up to achieve the computational power needed to tackle scientific challenges ranging from drug discovery to more energy-efficient machine learning.

Aurora is a “photonic” quantum computer, which means it crunches numbers using photonic qubits—information encoded in light. In practice, this means combining and recombining laser beams on multiple chips using lenses, fibers, and other optics according to an algorithm. Xanadu’s computer is designed in such a way that the answer to an algorithm it executes corresponds to the final number of photons in each laser beam. This approach differs from one used by Google and IBM, which involves encoding information in properties of superconducting circuits.

Japanese researchers have crafted a revolutionary device that can record and playback your dreams for you to watch. Yes, you read that right! Imagine being able to watch your dreams if they were movies… This machine enables you to do something similar. This incredible technology employs advancements in brain imaging and artificial intelligence (AI), reinforcing one to delve into the mysterious realms of dreams in exceptional ways.

Question Can an electrocardiography (ECG)–based artificial intelligence risk estimator for hypertension (AIRE-HTN) predict incident hypertension and stratify risk for incident hypertension-associated adverse events?

Findings In this prognostic study including an ECG algorithm trained on 189 539 patients at Beth Israel Deaconess Medical Center and externally validated on 65 610 patients from UK Biobank, AIRE-HTN predicted incident hypertension and stratified risk for cardiovascular death, heart failure, myocardial infarction, ischemic stroke, and chronic kidney disease.

Meaning Results suggest that AIRE-HTN can predict the development of hypertension and may identify at-risk patients for enhanced surveillance.

Is the progressive and irreversible loss of kidney function. In this Primer, Romagnani et al. describe the epidemiology and pathophysiology of this disease, and summarize its diagnosis and management, explaining how understanding and treating all modifiable risk factors can slow the progression of chronic kidney disease and prevent or attenuate its consequences.