📌 MAROKO133 Breaking ai: Woman Asks ChatGPT for Powerball Numbers, Wins $150,000 E
A Virginia woman won big at the Powerball lottery — using numbers picked by OpenAI’s ChatGPT, according to The New York Post, in a story that’s only possible in the 21st Century.
“I’m like, ChatGPT, talk to me… Do you have numbers for me?” said Carrie Edwards, remembering how she requested the AI bot for help, during a press conference last week, as reported by the NY Post.
A few days later, the widow from Virginia got a phone notification that she won the Powerball drawing earlier this month.
Because she got the same four of the five numbers and the Powerball number, she got a $150,000 check that she plans to donate the winnings to several nonprofits: the Navy-Marine Corps Relief Society, Shalom Farms — a nonprofit food organization — and the Association for Frontotemporal Degeneration, which funds research on the form of dementia that killed her husband last year.
“As soon as that divine windfall happened and came down upon my shoulders, I knew exactly what I needed to do with it,” she said at the press conference. “And I knew I needed to give it all away, because I’ve been so blessed, and I want this to be an example of how other people, when they’re blessed, can bless other people.”
To be clear, ChatGPT obviously can’t predict winning lottery numbers. Instead, Edwards effectively used it as a random number generator, and then got lucky.
In our AI age, though, this isn’t the first time somebody’s claimed they used an AI bot to win the lotto. Back in 2023, a Thai man said he used ChatGPT to successfully guess numbers for a local sweepstakes, though only for a piddling sum of $59.
And earlier this year, three university math students in Italy developed an algorithm that they claimed netted them more than $50,000 from a local drawing by spending just $350 on numbers that their algorithm said were overrepresented among winners; whether they actually beat the system like card counters at a game of blackjack is unclear, although hobbyists have occasionally found flukes in state lottery systems.
Reality check, though: you’re very unlikely to beat the odds using AI, even though the Apple store is already lousy with apps claiming to do exactly that.
Just remember that at the end of the day, lotteries and casinos exist for one reason — and the house always wins.
More on AI and gambling: Gannett Is Using AI to Pump Brainrot Gambling Content Into Newspapers Across the Country
The post Woman Asks ChatGPT for Powerball Numbers, Wins $150,000 appeared first on Futurism.
🔗 Sumber: futurism.com
📌 MAROKO133 Hot ai: China’s new RNA mapping technique could potentially analyze Ei
Could the preserved brain of Albert Einstein, sliced into 240 blocks and stored since his death in 1955, hold clues to the cellular basis of genius?
Could long-frozen cancer tissues, tucked away in hospital archives for nearly a decade, now reveal secrets of tumor evolution?
Chinese scientists say their upgraded RNA-mapping technique could one day make such a study possible.
A team from BGI-Research and partner institutes has developed Stereo-seq V2, an advanced spatial transcriptomics tool that can analyze old biological samples once considered unusable.
The method successfully processed cancer tissues stored under poor conditions for nearly a decade, raising hopes that long-preserved samples could be mined for new scientific insights.
“If we are fortunate enough to analyse Einstein’s brain, we could give it a try,” Li Yang, a research associate at BGI-Research, told the South China Morning Post.
“But the challenges are significant because the preservation techniques at that time may not have been very good. It is hard to say.”
Einstein’s brain was preserved using mid-20th-century methods, long before advances in genetic storage, making its viability uncertain.
Still, the Stereo-seq V2 breakthrough signals a major step toward unlocking valuable information from old clinical archives.
Breathing life into history
Traditional biospecimens are kept in formalin-fixed, paraffin-embedded (FFPE) blocks—cost-effective and stable for decades, but often chemically damaged. That degradation limited DNA and RNA analysis, which is crucial because DNA stores genetic information while RNA turns it into proteins.
Stereo-seq V2 overcomes those barriers by improving RNA capture efficiency and using random-primed chemistry to achieve full gene-body coverage, even in degraded samples.
In trials, the tool mapped RNA at single-cell resolution, identifying tumor subtypes and immune responses within old cancer tissue.
Co-corresponding author Liao Sha, chief technology officer of STOmics, said the team carefully screens samples before use. “If the samples had degraded too much, we would not be able to analyse them effectively,” she said.
Beyond oncology, the platform has already demonstrated its ability to simultaneously profile both host and microbial RNAs in tuberculosis studies, offering insights into how pathogens interact with immune systems over time.
Expanding a precious archive
Hospitals worldwide store millions of FFPE samples, often for 20 years or more. Until now, much of that genetic information was locked away by preservation damage. Li said the new method expands the pool of research material available for rare diseases.
“Many rare diseases require a long time to accumulate samples,” Li said. “Now, we can effectively utilise precious samples that have been preserved over the long term.”
Researchers believe the approach could lead to earlier diagnostics, more personalized cancer treatments, and retrospective studies on archived specimens.
Hospitals may also explore building joint laboratories to process samples in-house, reducing risks from external transfers.
While the prospect of decoding Einstein’s genius remains uncertain, the real-world applications of Stereo-seq V2 are immediate, offering scientists sharper tools to explore the biology of cancer, infection, and rare diseases locked away in tissue archives.
The study was published last month in the journal Cell.
🔗 Sumber: interestingengineering.com
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