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In their last minutes of life, some people’s brains generate a surge of surprisingly organized-looking electrical activity that may reflect consciousness — although scientists aren’t entirely sure. 

According to new research, published Monday (May 1) in the journal PNAS (opens in new tab) , this surge can sometimes occur after a person’s breathing stops but before the brain stops functioning. The activity pattern is somewhat similar to what is seen when people are awake or in dreamlike states, leading to speculation that perhaps these electrical surges reflect the otherworldly experiences reported by people who’ve had close brushes with death: A sense of looking at the body from the outside; a tunnel and white light; or a sense of reliving important memories. 

However, since all the patients in the new study ultimately died, it’s impossible to know if they had such experiences. 

“If you talk about the dying process, there is very little we know,” said Jimo Borjigin (opens in new tab) , a neuroscientist at the University of Michigan Medical School who led the study. It’s rare for patients to have their brains continuously monitored as they die, Borjigin told Live Science. “This is maybe the first study to really show second-by-second how the brain dies.” 

Related: Is brain death reversible? Near-death experiences 

Some people who are brought back from the brink of death report seeing or hearing unexplained things during resuscitation or when they seem to be unconscious. The reason for these near-death experiences is unknown, and it’s not clear if they’re even specific to death. 

International surveys suggest that only about half of what people call “near-death experiences” actually occur in life-threatening situations, said Daniel Kondziella (opens in new tab) , a neurologist at the University of Copenhagen who was not involved in the new research. The other half occur during meditation or in scary situations that don’t endanger one’s health or impact the brain’s metabolism, Kondiziella told Live Science. 

“The thing is, from the experience itself you cannot say if someone has had a cardiac arrest or syncope [a brief loss of consciousness] or near-miss traffic accident,” Kondiziella said. 

Because the people who survive to report a near-death experience are inherently different from the people who die — their brains don’t permanently lose function, for one thing — it’s hard to determine whether those who actually die also have these subjective experiences. 

In 2013, Borjigin and her colleagues measured electrical activity in the brains of rats (opens in new tab) that they euthanized via cardiac arrest. They found that for about 30 seconds after the heart stopped, the brain showed a surge in what are called gamma waves, which are the highest-frequency electrical oscillations in the brain. Gamma waves are correlated with conscious experience, but don’t necessarily prove that someone is conscious; they’re just one of many indicators that someone might be aware and alert. 

In 2022, a separate group of doctors happened to be monitoring the brain of an 87-year-old man with an electroencephalogram (EEG), which detects electrical activity on the surface of the brain, when the man unexpectedly died. Similar to Borjigin’s rats, the man’s brain showed a surge in gamma activity in the 30 seconds before and after his heart stopped.  ‘Reading’ the dying brain 

In their new paper, Borjigin and her team made a deliberate effort to use EEG to capture what the brain looks like during death. 

The researchers got permission to monitor dying patients in intensive care whose breathing support had been removed after treatment proved futile. The study included four patients total, all of whom were comatose after cardiac arrest. 

In the 30 seconds to two minutes after their ventilators were removed, two of the four patients’ brains showed surges in gamma waves. Interestingly, this gamma activity seemed organized, in that the gamma waves in one portion of the brain were associated with predictable activity patterns in other regions. 

The temporoparietal junction, a brain region where the temporal and parietal lobes meet, toward the back of the brain behind the ear, was particularly active with gamma waves. This region is known to be activated when people have out-of-body experiences or dreams, Borjigin said. 

The new findings echo what was seen in the 87-year-old patient who unexpectedly died, said Raul Vicente (opens in new tab) , a neuroscientist and data scientist at the University of Tartu who co-authored the 2022 study but was not involved in Borjigin’s work. “It’s very nice to see a confirmation,” he told Live Science. 

“The more consistent findings we have, the more evidence it is that this likely is a mechanism happening at the time of death and if we can pinpoint this down to one location, even better,” said Ajmal Zemmar (opens in new tab) , a neurosurgeon at the University of Louisville Health who also co-authored the 2022 study. RELATED STORIES—Dying brains silence themselves in a dark wave of ‘spreading depression’

—Your brain ‘shields’ itself from the existential threat of death

—Can minds persist when they are cut off from the world?

Zemmar and Vicente are optimistic that these signals could be signs of conscious experience at the moment of death. But reflecting the debate in the field, Kondziella is more skeptical. 

“We know when you die a cardiac death as opposed to a brain death, that takes time,” he said. Minutes pass between the heart stopping and brain cells dying, he said. “It shouldn’t be a big surprise during those minutes, you will see aberrant electrophysiological activity in the brain.” 

Some people may experience something like near-death experiences in these moments, Kondziella said, but we may never know for sure. And again, these experiences may not be unique to death — a more likely explanation for near-death experiences that encompasses both life-threatening experiences and non-life-threatening experiences, he said, may be “REM sleep intrusion into wakefulness,” a situation in which the brain blends waking and dreaming states. (REM sleep is marked by dreaming and brain activity patterns that are very similar to waking, including gamma waves and other, lower-frequency waves.) 

Borjigin’s team is still collecting end-of-life data, hoping to add to the evidence that the dying brain may generate predictable gamma-wave patterns. Already, other research groups have attempted to use artificial intelligence to identify objects that people saw in their dreams (opens in new tab) based on their brain activity — similar mind-reading may be possible with unconscious and dying patients, Vicente said. 

“This opens an opportunity at some point, if we gather enough data, to be able to decode what people in different coma states are thinking,” Vicente said. 

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Apple scores big victory with ‘F1,’ but AI is still a major problem in Cupertino

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Apple scores big victory with 'F1,' but AI is still a major problem in Cupertino

Formula One F1 – United States Grand Prix – Circuit of the Americas, Austin, Texas, U.S. – October 23, 2022 Tim Cook waves the chequered flag to the race winner Red Bull’s Max Verstappen 

Mike Segar | Reuters

Apple had two major launches last month. They couldn’t have been more different.

First, Apple revealed some of the artificial intelligence advancements it had been working on in the past year when it released developer versions of its operating systems to muted applause at its annual developer’s conference, WWDC. Then, at the end of the month, Apple hit the red carpet as its first true blockbuster movie, “F1,” debuted to over $155 million — and glowing reviews — in its first weekend.

While “F1” was a victory lap for Apple, highlighting the strength of its long-term outlook, the growth of its services business and its ability to tap into culture, Wall Street’s reaction to the company’s AI announcements at WWDC suggest there’s some trouble underneath the hood.

“F1” showed Apple at its best — in particular, its ability to invest in new, long-term projects. When Apple TV+ launched in 2019, it had only a handful of original shows and one movie, a film festival darling called “Hala” that didn’t even share its box office revenue.

Despite Apple TV+ being written off as a costly side-project, Apple stuck with its plan over the years, expanding its staff and operation in Culver City, California. That allowed the company to build up Hollywood connections, especially for TV shows, and build an entertainment track record. Now, an Apple Original can lead the box office on a summer weekend, the prime season for blockbuster films.

The success of “F1” also highlights Apple’s significant marketing machine and ability to get big-name talent to appear with its leadership. Apple pulled out all the stops to market the movie, including using its Wallet app to send a push notification with a discount for tickets to the film. To promote “F1,” Cook appeared with movie star Brad Pitt at an Apple store in New York and posted a video with actual F1 racer Lewis Hamilton, who was one of the film’s producers.

(L-R) Brad Pitt, Lewis Hamilton, Tim Cook, and Damson Idris attend the World Premiere of “F1: The Movie” in Times Square on June 16, 2025 in New York City.

Jamie Mccarthy | Getty Images Entertainment | Getty Images

Although Apple services chief Eddy Cue said in a recent interview that Apple needs the its film business to be profitable to “continue to do great things,” “F1” isn’t just about the bottom line for the company.

Apple’s Hollywood productions are perhaps the most prominent face of the company’s services business, a profit engine that has been an investor favorite since the iPhone maker started highlighting the division in 2016.

Films will only ever be a small fraction of the services unit, which also includes payments, iCloud subscriptions, magazine bundles, Apple Music, game bundles, warranties, fees related to digital payments and ad sales. Plus, even the biggest box office smashes would be small on Apple’s scale — the company does over $1 billion in sales on average every day.

But movies are the only services component that can get celebrities like Pitt or George Clooney to appear next to an Apple logo — and the success of “F1” means that Apple could do more big popcorn films in the future.

“Nothing breeds success or inspires future investment like a current success,” said Comscore senior media analyst Paul Dergarabedian.

But if “F1” is a sign that Apple’s services business is in full throttle, the company’s AI struggles are a “check engine” light that won’t turn off.

Replacing Siri’s engine

At WWDC last month, Wall Street was eager to hear about the company’s plans for Apple Intelligence, its suite of AI features that it first revealed in 2024. Apple Intelligence, which is a key tenet of the company’s hardware products, had a rollout marred by delays and underwhelming features.

Apple spent most of WWDC going over smaller machine learning features, but did not reveal what investors and consumers increasingly want: A sophisticated Siri that can converse fluidly and get stuff done, like making a restaurant reservation. In the age of OpenAI’s ChatGPT, Anthropic’s Claude and Google’s Gemini, the expectation of AI assistants among consumers is growing beyond “Siri, how’s the weather?”

The company had previewed a significantly improved Siri in the summer of 2024, but earlier this year, those features were delayed to sometime in 2026. At WWDC, Apple didn’t offer any updates about the improved Siri beyond that the company was “continuing its work to deliver” the features in the “coming year.” Some observers reduced their expectations for Apple’s AI after the conference.

“Current expectations for Apple Intelligence to kickstart a super upgrade cycle are too high, in our view,” wrote Jefferies analysts this week.

Siri should be an example of how Apple’s ability to improve products and projects over the long-term makes it tough to compete with.

It beat nearly every other voice assistant to market when it first debuted on iPhones in 2011. Fourteen years later, Siri remains essentially the same one-off, rigid, question-and-answer system that struggles with open-ended questions and dates, even after the invention in recent years of sophisticated voice bots based on generative AI technology that can hold a conversation.

Apple’s strongest rivals, including Android parent Google, have done way more to integrate sophisticated AI assistants into their devices than Apple has. And Google doesn’t have the same reflex against collecting data and cloud processing as privacy-obsessed Apple.

Some analysts have said they believe Apple has a few years before the company’s lack of competitive AI features will start to show up in device sales, given the company’s large installed base and high customer loyalty. But Apple can’t get lapped before it re-enters the race, and its former design guru Jony Ive is now working on new hardware with OpenAI, ramping up the pressure in Cupertino.

“The three-year problem, which is within an investment time frame, is that Android is racing ahead,” Needham senior internet analyst Laura Martin said on CNBC this week.

Apple’s services success with projects like “F1” is an example of what the company can do when it sets clear goals in public and then executes them over extended time-frames.

Its AI strategy could use a similar long-term plan, as customers and investors wonder when Apple will fully embrace the technology that has captivated Silicon Valley.

Wall Street’s anxiety over Apple’s AI struggles was evident this week after Bloomberg reported that Apple was considering replacing Siri’s engine with Anthropic or OpenAI’s technology, as opposed to its own foundation models.

The move, if it were to happen, would contradict one of Apple’s most important strategies in the Cook era: Apple wants to own its core technologies, like the touchscreen, processor, modem and maps software, not buy them from suppliers.

Using external technology would be an admission that Apple Foundation Models aren’t good enough yet for what the company wants to do with Siri.

“They’ve fallen farther and farther behind, and they need to supercharge their generative AI efforts” Martin said. “They can’t do that internally.”

Apple might even pay billions for the use of Anthropic’s AI software, according to the Bloomberg report. If Apple were to pay for AI, it would be a reversal from current services deals, like the search deal with Alphabet where the Cupertino company gets paid $20 billion per year to push iPhone traffic to Google Search.

The company didn’t confirm the report and declined comment, but Wall Street welcomed the report and Apple shares rose.

In the world of AI in Silicon Valley, signing bonuses for the kinds of engineers that can develop new models can range up to $100 million, according to OpenAI CEO Sam Altman.

“I can’t see Apple doing that,” Martin said.

Earlier this week, Meta CEO Mark Zuckerberg sent a memo bragging about hiring 11 AI experts from companies such as OpenAI, Anthropic, and Google’s DeepMind. That came after Zuckerberg hired Scale AI CEO Alexandr Wang to lead a new AI division as part of a $14.3 billion deal.

Meta’s not the only company to spend hundreds of millions on AI celebrities to get them in the building. Google spent big to hire away the founders of Character.AI, Microsoft got its AI leader by striking a deal with Inflection and Amazon hired the executive team of Adept to bulk up its AI roster.

Apple, on the other hand, hasn’t announced any big AI hires in recent years. While Cook rubs shoulders with Pitt, the actual race may be passing Apple by.

WATCH: Jefferies upgrades Apple to ‘Hold’

Jefferies upgrades Apple to 'Hold'

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Musk backs Sen. Paul’s criticism of Trump’s megabill in first comment since it passed

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Musk backs Sen. Paul's criticism of Trump's megabill in first comment since it passed

Tesla CEO Elon Musk speaks alongside U.S. President Donald Trump to reporters in the Oval Office of the White House on May 30, 2025 in Washington, DC.

Kevin Dietsch | Getty Images

Tesla CEO Elon Musk, who bombarded President Donald Trump‘s signature spending bill for weeks, on Friday made his first comments since the legislation passed.

Musk backed a post on X by Sen. Rand Paul, R-Ky., who said the bill’s budget “explodes the deficit” and continues a pattern of “short-term politicking over long-term sustainability.”

The House of Representatives narrowly passed the One Big Beautiful Bill Act on Thursday, sending it to Trump to sign into law.

Paul and Musk have been vocal opponents of Trump’s tax and spending bill, and repeatedly called out the potential for the spending package to increase the national debt.

On Monday, Musk called it the “DEBT SLAVERY bill.”

The independent Congressional Budget Office has said the bill could add $3.4 trillion to the $36.2 trillion of U.S. debt over the next decade. The White House has labeled the agency as “partisan” and continuously refuted the CBO’s estimates.

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The bill includes trillions of dollars in tax cuts, increased spending for immigration enforcement and large cuts to funding for Medicaid and other programs.

It also cuts tax credits and support for solar and wind energy and electric vehicles, a particularly sore spot for Musk, who has several companies that benefit from the programs.

“I took away his EV Mandate that forced everyone to buy Electric Cars that nobody else wanted (that he knew for months I was going to do!), and he just went CRAZY!” Trump wrote in a social media post in early June as the pair traded insults and threats.

Shares of Tesla plummeted as the feud intensified, with the company losing $152 billion in market cap on June 5 and putting the company below $1 trillion in value. The stock has largely rebounded since, but is still below where it was trading before the ruckus with Trump.

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Tesla one-month stock chart.

— CNBC’s Kevin Breuninger and Erin Doherty contributed to this article.

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FTX estate asks court to freeze payouts in ‘restricted’ countries

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FTX estate asks court to freeze payouts in ‘restricted’ countries

FTX estate asks court to freeze payouts in ‘restricted’ countries

FTX’s bankruptcy estate is uncertain whether it is legally entitled to distribute payouts to creditors in countries such as China amid local crypto restrictions.

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