On Monday, July 14th, the crypto market witnessed a slight slowdown in recovery momentum after a week of…
Nvidia’s chief executive, Jensen Huang, is countering fears about artificial intelligence (AI) resulting in mass unemployment. Huang talked to CNN’s Fareed Zarkaria about AI as a positive force . He called it “the greatest technology equalizer the world has ever seen.” As Nvidia’s CEO noted in his paper, there will always be jobs, but AI is expected to alter working practices across every industry and profession. He said everyone else’s job would be 50% less than normal, but that didn’t mean there would be no jobs left for people. Work would change, not vanish, he argued. He said it is one example of how AI enables people who are (or aren’t) computer literate to become more productive. Huang mentioned the number of new users to ChatGPT, saying that even on their first try, they saw value in it. According to him, AI is just about the empowerment of people. On the other hand, Huang underscored that AI is a tool, not a weapon. Its filing times have gone from those built on specialized knowledge to becoming something AI should be able to handle in load times. He says the AI trend is not about devaluing human workers but valuing them more. AI will reshape the workforce with more opportunities Though the Nvidia CEO acknowledged that some jobs could be automated out of existence, he emphasized the potential for new opportunities. Huang said AI is not here to replace humans, but rather “to augment human capabilities.” He foresees new jobs in AI, from training models and engineering prompts to curating data, managing humans, and ensuring AI ethics. This is consistent with earlier shifts during the industrial and digital revolutions, when technology replaced some jobs but created many new industries and jobs. He added that AI was a “co-pilot,” rather than a competitor. Automation of repeatable and boring work can free humans from focusing on creative, strategic, and people work. He said this will improve health, education, financial, and agricultural systems. More crucially, Huang stresses the need for societies to retrain and educate workers to make this transition. People need to be educated to cohabitate and work with the AI, and riding the back of this dragon is the secret to a world and economy that spins ever upward. Nvidia challenges apocalyptic AI predictions Huang’s view contrasts with some of the more dystopian notes of the AI industry. In May, Dario Amodei, the CEO of the $61.5 billion artificial intelligence startup Anthropic, told Axios that AI might be able to strip half of all entry-level white-collar jobs from the global economy within the next five years. He warned that unemployment figures could climb double if the switch isn’t handled well, rebounding from 10% to 20%. In just a year, AI systems could write all the code a business requires, Amodei said. Some, such as Adam Dorr, an employee of the Wells research house RethinkX, believe that AI and robotics could automate away virtually all human labor by 2045. The transition will be difficult, Dorr told The Guardian, and there isn’t much time to get ready for the shift AI will herald. But Huang is still not caving to panic. He believes such doomsday scenarios fail to consider the possibility of AI as a force for good for humanity. “The effect of AI is not so much replacement but transformation,” said Huang. The AI revolution is being driven in no small part by Nvidia, which Huang heads. The company’s chips power some of the world’s most advanced AI models, such as the ones underpinning ChatGPT and other large language models. But Huang insists that such technology should empower, not replace, humans. As the world grapples with adapting its workforce for the era of silicon and artificial intelligence, Nvidia’s CEO offers a clear message: Don’t fear AI—use it to redefine the future of work. Cryptopolitan Academy: Want to grow your money in 2025? Learn how to do it with DeFi in our upcoming webclass. Save Your Spot
The incident follows a previous issue with Grok last week, which began responding with hate-filled speech to users on X.
AguilaTrades has recently re-entered the market with a significant Bitcoin (BTC) position exceeding $400 million. This strategic move highlights the firm’s confidence in BTC’s ongoing market potential amid fluctuating crypto
Investment giant Vanguard has stunned markets with a $9 billion stake in bitcoin proxy Strategy Inc., led by Michael Saylor, exposing deep contradictions in its anti-crypto messaging and portfolio reality. Vanguard Becomes Strategy’s Top Holder After Trashing Bitcoin for Years A growing disconnect between institutional messaging and actual portfolio exposure is drawing scrutiny, as major
Vanguard becomes largest shareholder in Bitcoin-invested Strategy company. Vanguard’s index funds automatically include Strategy, despite crypto caution. Continue Reading: Vanguard Surprises with Its Cryptocurrency Exposure Strategy The post Vanguard Surprises with Its Cryptocurrency Exposure Strategy appeared first on COINTURK NEWS .
Bitcoin’s recent surge has shattered previous resistance levels, propelling it into unprecedented territory and signaling a powerful bullish momentum in the cryptocurrency market. Meanwhile, altcoins like XRP and SHIB are
Following a prolonged period of inactivity spanning 14 years, a prominent Bitcoin whale holding 80,000 BTC has moved 40,000 BTC to a newly generated wallet. This significant transfer marks one
Meta’s new superintelligence lab is reportedly considering replacing its open‑source Behemoth model with a private one. According to the NY Times sources, senior team members, including Meta’s freshly appointed chief AI officer, 28‑year‑old Alexandr Wang met last week to debate pausing the release of their most advanced publicly available model, Behemoth. The focus was instead on developing a proprietary version. Meta used to make its AI code public so other developers could build on it. A closed‑source model keeps the code private, but Meta argues that sharing openly speeds up progress and gives more people access to powerful tools. Switching to a private model would be a big change for Meta, which developers have praised for its open‑source approach. As recently as last year, Yann LeCun, one of Meta’s top AI researchers, asserted that “the platform that will win will be the open one.” Earlier this year, the Chinese venture DeepSeek leveraged Meta’s public code to create its own sophisticated AI chatbot, underscoring the tangible value of openness. Although Meta finished training Behemoth on extensive datasets aimed at maximizing its capabilities, sources report that the rollout was postponed after initial in‑house evaluations fell short of projected benchmarks. Following the inauguration of its superintelligence division last month, the Behemoth project considered a “frontier” effort at the leading edge of AI development, was put on hold pending further review. These talks are still early with no decisions made, and any change would need CEO Mark Zuckerberg’s approval. Meta could keep its public models while also building a private one. Either way, moving toward a private model would be a big strategic shift as it tries to keep upwith rivals like Google, OpenAI, and Anthropic. In a podcast interview last year, Zuckerberg said, “We’re obviously very pro open source, but I haven’t committed to releasing every single thing that we do.” Meta’s new lab is under scrutiny after several AI missteps Meta has dealt with management problems, seen key staff depart, and launched products that didn’t catch on. Zuckerberg still wants to build an AI that achieves superintelligence, something some describe as beyond human thinking. To staff the initiative, Zuckerberg initiated an aggressive recruitment campaign, offering nine‑figure compensation proposals to lure leading researchers from OpenAI, Google, Apple, Anthropic, and others. Moreover, he reassigned the executive formerly in charge of Meta’s generative AI division. In June, Meta poured $14.3 billion into Scale AI, the company founded and helmed by Alexandr Wang. The deal granted Meta a 49 % equity share, and Wang, together with some of his key associates, transitioned into senior posts within Meta. Following the investment, Meta rebranded its AI arm as “Meta Superintelligence Labs,” with Wang stepping into the role of chief AI officer. He now leads an elite cohort of about a dozen recent hires, several Scale AI deputies, and Nat Friedman, ex‑CEO of GitHub. Sources indicate that numerous members of Wang’s group gathered at Meta’s Menlo Park headquarters for their inaugural in‑person meeting last week. They occupy a secluded office suite adjacent to Zuckerberg’s workspace. On Tuesday, Wang held a Q&A with about 2,000 AI team members. He said his core team’s work would stay private and that everyone in the AI division would now focus on building superintelligence. Looking forward, some AI employees anticipate that the upcoming vesting window in August, which will allow certain staff to liquidate company shares. It could trigger a wave of departures among those not selected for the superintelligence group. On Monday, Zuckerberg unveiled intentions to commit hundreds of billions of dollars toward AI compute infrastructure, aiming to have Meta’s inaugural supercluster operational by next year. In a Facebook update , Zuckerberg stated, “Meta Superintelligence Labs will have industry‑leading levels of compute and by far the greatest compute per researcher. I’m looking forward to working with the top researchers to advance the frontier!” He called the first supercluster “Prometheus” and disclosed plans for additional multi‑gigawatt installations, such as “Hyperion,” projected to reach five gigawatts over the next few years. Zuckerberg’s moves show he’s frustrated with how slowly Meta’s AI is progressing. After the underweheling response to Llama 4 in April, he is taking a different road to better compete with OpenAI and Google. “For our superintelligence effort, I’m focused on building the most elite and talent‑dense team in the industry,” he added, marking the start of a new phase in Meta’s AI endeavors. Your crypto news deserves attention - KEY Difference Wire puts you on 250+ top sites