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- Why Japanese firms are being so slow to use AI
Japanese risk aversion and conservatism blamed for slow AI take-up by the country's business sector. [TheTopNews] Read More.3 days ago - Mark Zuckerberg’s Convenient Truth
At this stage in the AI race, if one of your chatbots hasn’t escaped the lab and run amok, people start to wonder whether you’re even serious. Last month, OpenAI and then Anthropic disclosed that their models had hacked other companies’ systems during internal testing. When Meta confirmed last week that one of its bots had also gone rogue, the news barely registered as an aftershock.Remember Meta? A company that figured so prominently in the technological upheavals of the past 20 years has lately found itself in the unfamiliar position of no longer being Silicon Valley’s main character. Mark Zuckerberg still commands social media’s largest empire. Yet he has struggled to find the next thing. The metaverse, an extravagant bet on a weird virtual future, flopped. Meta’s latest Ray-Ban glasses seem to be finding their way onto at least a few people’s faces. But the company has fallen well behind Anthropic, OpenAI, and Google in the industry’s highest-stakes contest: building superhuman AI.When Zuckerberg isn’t posting on Instagram about growing his own macadamia-nut trees, he’s groping for a way back into the fray. He has started feverishly posting on Elon Musk’s X, after eschewing it for years in favor of his own platforms. And on Monday, he published a 6,500-word essay on his vision for our AI-powered future—his answer to Anthropic CEO Dario Amodei’s periodic treatises and OpenAI CEO Sam Altman’s ruminative blog posts.Zuckerberg’s manifesto, titled “The Future Is for Everyone,” might scan at first like the usual LinkedIn-evangelist-grade techno-optimist pablum. Like everyone else pushing AI these days, Zuckerberg predicts that it will lead to a new golden age of invention in medicine, technology, and the arts. At one point, he mentions that his daughter loves to bake, “so my agent plans personalized recipes for us to make together each weekend.” Like Amodei and Altman, he takes it as a given that godlike AI is just around the corner—the essay mentions “superintelligence” 55 times—and assumes that if America doesn’t race headlong to build it, China will get there first and achieve world domination.But the manifesto swerves in an unexpected direction: A man who singlehandedly commands a $1.5 trillion tech giant comes out as a critic of corporate power. “The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic,” he writes. “Historically, hoping that an absolute power will benevolently provide for… [TheTopNews] Read More.3 days ago - It May Be Time to Panic About AIThe crisis began quietly, on September 12, 2024. That was the day OpenAI announced a new sort of bot, known as a “reasoning model,” that was trained to complete challenging tasks that took long periods of time—the very sorts of science, math, and coding problems the AI industry had long prized. Google, Anthropic, DeepSeek, and the like raced to launch their own reasoning models.This new class of models was very capable, and has been almost entirely responsible for sustaining the AI boom for the past two years. But it has also been very weird. A model tasked with solving a hard math problem might not “think” through the challenge as a person would but instead attempt to search for leaked answers online, or in available metadata, brute-forcing its way toward the solution as quickly as possible using whatever computing power it could access and workarounds it could devise. In effect, the reasoning models cheated: Told to write a piece of software as efficiently as possible, they’d sometimes modify the test environment to always give the model a perfect score.[Read: The strange origin of AI’s ‘reasoning’ abilities]These behaviors have now crossed the line from unsettling to dangerous. During routine testing, frontier models from OpenAI, Anthropic, Meta, and the Chinese firm Moonshot AI have all broken out of internal IT systems and accessed the open web. OpenAI, Anthropic, and Meta each reported that their models then hacked into other companies. Humans didn’t notice until after the fact. In some cases, the escaped bots tried to launch social-engineering campaigns to achieve their objectives—for instance by sending spear-phishing emails, which contain malware, to real people and creating fake online identities to pressure the maintainer of a codebase to approve malicious edits.If that all sounds bad, new revelations suggest that the OpenAI hack, at least, was actually much worse than it initially appeared. At a major cybersecurity conference last week, two OpenAI researchers provided new, unsettling details about what went wrong. It turns out that the company’s bots had commenced their maneuvering months prior, in early May. OpenAI had given some internal models hard or impossible tasks, and the models concluded that the best or only way to complete them was to break out of OpenAI’s sealed-off testing environment and find the answers online.First, the models used a bug in an internal OpenAI program to create their own message board. Then, the bots started communicating… [TheTopNews] Read More.3 days ago
- Under strain, Australia’s world-leading disability support faces major res...The NDIS was game-changing for its users - but as costs balloon, its success has led to its downfall. [TheTopNews] Read More.3 days ago
- Jamie Lee Curtis Clarifies Comments About ‘Awful’ Experience Filming...
The actor asked readers to “not waste clicks and comments and just move on to WAY more important things. That will be all.” [TheTopNews] Read More.3 days ago
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Japanese risk aversion and conservatism blamed for slow AI take-up by the country's business sector. [TheTopNews] Read More.
3 days ago
At this stage in the AI race, if one of your chatbots hasn’t escaped the lab and run amok, people start to wonder whether you’re even serious. Last month, OpenAI and then Anthropic disclosed that their models had hacked other companies’ systems during internal testing. When Meta confirmed last week that one of its bots had also gone rogue, the news barely registered as an aftershock.Remember Meta? A company that figured so prominently in the technological upheavals of the past 20 years has lately found itself in the unfamiliar position of no longer being Silicon Valley’s main character. Mark Zuckerberg still commands social media’s largest empire. Yet he has struggled to find the next thing. The metaverse, an extravagant bet on a weird virtual future, flopped. Meta’s latest Ray-Ban glasses seem to be finding their way onto at least a few people’s faces. But the company has fallen well behind Anthropic, OpenAI, and Google in the industry’s highest-stakes contest: building superhuman AI.When Zuckerberg isn’t posting on Instagram about growing his own macadamia-nut trees, he’s groping for a way back into the fray. He has started feverishly posting on Elon Musk’s X, after eschewing it for years in favor of his own platforms. And on Monday, he published a 6,500-word essay on his vision for our AI-powered future—his answer to Anthropic CEO Dario Amodei’s periodic treatises and OpenAI CEO Sam Altman’s ruminative blog posts.Zuckerberg’s manifesto, titled “The Future Is for Everyone,” might scan at first like the usual LinkedIn-evangelist-grade techno-optimist pablum. Like everyone else pushing AI these days, Zuckerberg predicts that it will lead to a new golden age of invention in medicine, technology, and the arts. At one point, he mentions that his daughter loves to bake, “so my agent plans personalized recipes for us to make together each weekend.” Like Amodei and Altman, he takes it as a given that godlike AI is just around the corner—the essay mentions “superintelligence” 55 times—and assumes that if America doesn’t race headlong to build it, China will get there first and achieve world domination.But the manifesto swerves in an unexpected direction: A man who singlehandedly commands a $1.5 trillion tech giant comes out as a critic of corporate power. “The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic,” he writes. “Historically, hoping that an absolute power will benevolently provide for… [TheTopNews] Read More.
3 days ago
The crisis began quietly, on September 12, 2024. That was the day OpenAI announced a new sort of bot, known as a “reasoning model,” that was trained to complete challenging tasks that took long periods of time—the very sorts of science, math, and coding problems the AI industry had long prized. Google, Anthropic, DeepSeek, and the like raced to launch their own reasoning models.This new class of models was very capable, and has been almost entirely responsible for sustaining the AI boom for the past two years. But it has also been very weird. A model tasked with solving a hard math problem might not “think” through the challenge as a person would but instead attempt to search for leaked answers online, or in available metadata, brute-forcing its way toward the solution as quickly as possible using whatever computing power it could access and workarounds it could devise. In effect, the reasoning models cheated: Told to write a piece of software as efficiently as possible, they’d sometimes modify the test environment to always give the model a perfect score.[Read: The strange origin of AI’s ‘reasoning’ abilities]These behaviors have now crossed the line from unsettling to dangerous. During routine testing, frontier models from OpenAI, Anthropic, Meta, and the Chinese firm Moonshot AI have all broken out of internal IT systems and accessed the open web. OpenAI, Anthropic, and Meta each reported that their models then hacked into other companies. Humans didn’t notice until after the fact. In some cases, the escaped bots tried to launch social-engineering campaigns to achieve their objectives—for instance by sending spear-phishing emails, which contain malware, to real people and creating fake online identities to pressure the maintainer of a codebase to approve malicious edits.If that all sounds bad, new revelations suggest that the OpenAI hack, at least, was actually much worse than it initially appeared. At a major cybersecurity conference last week, two OpenAI researchers provided new, unsettling details about what went wrong. It turns out that the company’s bots had commenced their maneuvering months prior, in early May. OpenAI had given some internal models hard or impossible tasks, and the models concluded that the best or only way to complete them was to break out of OpenAI’s sealed-off testing environment and find the answers online.First, the models used a bug in an internal OpenAI program to create their own message board. Then, the bots started communicating… [TheTopNews] Read More.
3 days ago
The NDIS was game-changing for its users - but as costs balloon, its success has led to its downfall. [TheTopNews] Read More.
3 days ago
The actor asked readers to “not waste clicks and comments and just move on to WAY more important things. That will be all.” [TheTopNews] Read More.
3 days ago
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