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Billions of dollars worth of investment rounds later, the Financial Times is now reporting that the company is finally looking to shed its nonprofit status once and for all.

The company is reportedly in talks to raise further new funds, giving it a valuation of north of $100 billion and potentially making it one of the most valuable Silicon Valley firms ever.

OpenAI has since denied the reporting, arguing in a statement to the FT that “the nonprofit is core to our mission and will continue to exist.”

Artificial intelligence (AI) is on the brink of reaching a new significant milestone. A team of researchers aims to develop artificial general intelligence (AGI), capable of surpassing human intelligence in various fields, by establishing a global network of ultra-powerful supercomputers. This project, led by SingularityNET, will commence in September with the launch of the first supercomputer specifically designed for this purpose.

Footage making the rounds on social media shows what appear to be astonishingly lifelike humanoid robots posing at the World Robot Conference in Beijing last week.

But instead of showing off the latest and greatest in humanoid robotics, two of the “robots” turned out to be human women cosplaying as futuristic gynoids, presumably hired by animatronics company Ex-Robots.

“Many people think these are all robots without realizing they’re actually two human beings cosplayed as robots among the animatronics,” reporter Byron Wan tweeted.

As an undergraduate he was drawn to theory, but he quickly switched to experiment.

“Theory was good, but I was driven to experimental particle physics because even if I write a theory, someone has to test it anyway,” says Gandrakota, who is now a postdoc at the US Department of Energy’s Fermi National Accelerator Laboratory. “I’d rather be the person who tests and finds stuff than the person who predicts it.”

But he never lost his soft spot for theoretical physics. Today, Gandrakota and his colleagues on the CMS experiment are developing a machine-learning tool that will allow theorists even more freedom and creativity.

The use of the robot allows surgeries to be performed without opening the abdomen.


Galilee Medical Center in Nahariya says that a robot has been used for the first time in Israel to completely remove a patient’s pancreas.

The 78-year-old patient was diagnosed with multiple cystic tumors of the pancreas. Although this type of tumor is not considered cancerous, doctors say that left untreated, it could develop into a malignant pancreatic tumor in the future.

“The use of the robot allows surgeries to be performed without opening the abdomen,” says Dr. Eli Kakiashvili, head of the Department of Surgery A, who led the operation with the assistance of Dr. Gregory Bogoslavsky.

SparkLabs — an early-stage venture capital firm that has made a name for itself for backing OpenAI as well as a host of other AI startups such as Vectara, Allganize, Kneron, Anthropic, xAI, Glade (YC S23) and Lucidya AI — is gearing up to double down on more startups in the space. The VC firm announced Tuesday that it has closed a new $50 million fund, AIM AI Fund, which will back AI startups out of its own AIM-X accelerator in Saudi Arabia as well as other AI startups across the globe.

SparkLabs’ new fund and its wider investment aims underscore the bigger trends that have swirled around artificial intelligence for the last few years. The explosion of interest in generative AI in particular has led to a surge of startups in the space, as well as a rush of investors looking for the next Open AI — or at the very least, a startup that a bigger company might snap up as it looks to sharpen its own AI edge.

It also points to how the AI opportunity continues to widen beyond Silicon Valley. AIM-X is an AI-focused startup accelerator that SparkLabs launched earlier this year in the kingdom as part of its AI Mission, a national initiative to bolster AI technology over the next five years.

A real stinker.


The trial, conducted by Amazon Web Services, was commissioned by the government regulator as a proof of concept for generative AI’s capabilities, and in particular its potential to be used in business settings.

That potential, the trial found, is not looking promising.

In a series of blind assessments, the generative AI summaries of real government documents scored a dire 47 percent on aggregate based on the trial’s rubric, and were decisively outdone by the human-made summaries, which scored 81 percent.