
LinkedIn cofounder Reid Hoffman says AI job fears are legitimate, but Gen Z grads have one advantage
If you're young, job-hunting, and fluent in AI, Reid Hoffman thinks you've got a secret weapon. LinkedIn cofounder Reid Hoffman offered some upbeat advice to students worried about the rise of artificial intelligence in the job market. In a recent video posted on his YouTube channel, Hoffman urged young job-seekers to turn their AI know-how into a major selling point when applying for roles. He said that Gen Z is the generation of AI, and this will make this generation "enormously attractive."advertisementIn the recently posted video, Hoffman was answering questions submitted by college students who voiced growing concerns over whether AI could wipe out large numbers of jobs. While acknowledging that the technology's impact is 'a legitimate worry,' Hoffman argued that younger workers may actually have a built-in advantage over older generations who are still catching up.He agreed that AI is transforming the workspace, entry-level work, and employers' confusion, but it is also allowing them to showcase their unique capabilities. The optimism from Hoffman comes at a time when the broader tech world remains sharply divided over AI's long-term effect on employment.
Dario Amodei, CEO of AI firm Anthropic, recently painted a much darker picture. In a conversation with Axios, Amodei warned that AI could eliminate half of all entry-level office jobs and send unemployment soaring to 20 per cent within just five years. (Read the full story here). 'Most of them are unaware that this is about to happen,' Amodei cautioned. 'It sounds crazy, and people just don't believe it.'advertisementHowever, others in the tech industry strongly disagree with Amodei's bleak forecast. Nvidia CEO Jensen Huang, speaking at VivaTech 2025 in Paris this week, dismissed the warning outright. 'I pretty much disagree with almost everything he says,' Huang told reporters. 'He thinks AI is so scary, but only they should do it,' he added. Similar to Hoffman, Huang admitted that AI would certainly transform work but argued that it will also open new doors and create fresh industries. 'Do I think AI will change jobs? It will change everyone's, it's changed mine,' he said.But, AI is not your friend...A few weeks ago, Hoffman made headlines for claiming that if you think AI is your friend, then you are wrong. He explained that friendship goes beyond simply having someone to talk to or listen. In his words, 'Friendship is a two-directional relationship.' He explained that a genuine friend is someone who not only offers support but also expects it in return — a bond where both individuals help each other grow and improve. 'It's not only, 'Are you there for me?', but I am here for you,' he added. According to Hoffman, this kind of mutual connection is something AI, regardless of how advanced it may become, will never be able to replicate. This discussion comes as Meta CEO Mark Zuckerberg champions the use of AI companions as a way to combat loneliness. Highlighting that many Americans have fewer than three close friends, Zuckerberg suggested that AI could help bridge that social gap. These AI companions are already being integrated into platforms such as Instagram, WhatsApp, Facebook, and even smart glasses. However, Hoffman remains critical of this approach, arguing that it risks blurring people's understanding of true friendship. He pointed out that some AI tools, like the Pi chatbot developed by Inflection AI, handle this more responsibly by making it clear to users that they serve as companions — not substitutes for real friends.

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Business Standard
41 minutes ago
- Business Standard
AI experts divided over Apple's research on large reasoning model accuracy
A recent study by tech giant Apple claiming that the accuracy of frontier large reasoning models (LRMs) declines as task complexity increases, and eventually collapses altogether, has led to differing views among experts in the artificial intelligence (AI) world. The paper titled 'The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity' was published by Apple last week. Apple, in its paper, said it conducted experiments across diverse puzzles which show that such LRMs face a complete accuracy collapse beyond certain complexities. While their reasoning efforts increase with the complexity of a problem till a point, it then declines despite having an adequate token budget. A token budget for large language models (LLM) refers to the practice of setting a limit on the number of tokens an LLM can use for a specific task. The paper is co-authored by Samy Bengio, senior director, AI and ML research at Apple who is also the brother of Yoshua Bengio, often referred to as the godfather of AI. Meanwhile, AI company Anthropic, backed by Amazon, countered Apple's claims in a separate paper, saying that the 'findings primarily reflect experimental design limitations rather than fundamental reasoning failures.' 'Their central finding has significant implications for AI reasoning research. However, our analysis reveals that these apparent failures stem from experimental design choices rather than inherent model limitations,' it said. Mayank Gupta, founder of Swift Anytime, currently building an AI product on stealth, told Business Standard that both sides have equally important points. 'What this tells me is that we're still figuring out how to measure reasoning in LRMs the right way. The models are improving rapidly, but our evaluation tools haven't caught up. We need tools that separate how well an LRM reasons from how well it generates output and that's where the real breakthrough lies,' he said. Gary Marcus, a US academic, who has become a voice of caution on the capabilities of AI models, said in a best case scenario, these models can write python code, supplementing their own weaknesses with outside symbolic code, but even this is not reliable. 'What this means for business and society is that you can't simply drop o3 or Claude into some complex problem and expect it to work reliably,' he wrote in his blog, Marcus on AI. The Apple researchers conducted experiments comparing thinking and non-thinking model pairs across controlled puzzle environments. 'The most interesting regime is the third regime where problem complexity is higher and the performance of both models have collapsed to zero. Results show that while thinking models delay this collapse, they also ultimately encounter the same fundamental limitations as their non-thinking counterparts,' they wrote. Apple's observations in the paper perhaps can explain why the iPhone maker has been slow to embed AI across its products or operating systems, a point on which it was criticised at the Worldwide Developers Conference (WWDC) last week. This approach is opposite to the ones adopted by Microsoft-backed OpenAI, Meta, and Google, who are spending billions to build more sophisticated frontier models to solve more complex tasks. However, there are other voices too who believe that Apple's paper has its limitations. Ethan Mollick, associate professor at the Wharton School who studies the effects of AI on work, entrepreneurship, and education, mentioned on X that while the limits of reasoning models are useful, it is premature to say that LLMs are hitting a wall.


Mint
an hour ago
- Mint
Gurugram man reveals ₹7.5 lakh monthly cost of luxury life in Linkedin post, sparks debate
A LinkedIn post revealing the steep cost of maintaining a lavish lifestyle in one of Gurugram's most upscale neighbourhoods has gone viral, sparking wide discussion online. Vaibhav J, a resident of a posh area in Gurugram, shared a candid breakdown of his monthly expenses, highlighting the financial strain that comes with living in such a high-end locality. He opened his post with a striking admission that quickly caught people's attention: 'I own a house in Gurgaon, India. Translation: I need ₹ 7.5 lakh/month just to breathe.' Vaibhav detailed his monthly outgoings, listing everything from home and car EMIs to school fees, domestic staff wages, travel costs and lifestyle expenses. 'Here's what you really signed up for: ₹ 2.08 lakh EMI for a ₹ 3 crore house. ₹ 12,000 per month maintenance for the fountain. ₹ 60,000 car EMI – because you can't roll up in a Swift. ₹ 65,000 per month for IB school for kids. ₹ 30,000 per month for 'foreign trip proof-of-life'. ₹ 30,000 monthly for domestic staff – cook, maid, driver. ₹ 20,000 for club nights and dinners you don't even enjoy. ₹ 12,000 for grooming and dressing 'DLF Phase 5 ready'. ₹ 10,000-plus on random purchases. ₹ 15,000 for birthday gifts and wedding envelopes – a 'fake smiles tax'.' Adding up to around ₹ 5 lakh a month, he pointed out the post-tax reality: 'Now factor in income tax at 30 percent. To spend ₹ 5 lakh a month, you need to earn ₹ 7.5 lakh ( ₹ 90 lakh/year pre-tax). We had neither done savings nor bought insurance. And I haven't even eaten yet. That's not top one percent income – that's top 0.1 percent burn rate.' The post has drawn mixed responses online. While some sympathised with the pressure of maintaining appearances in elite circles, others criticised the spending choices. 'For those with fixed income in that range, income tax isn't just 30 percent. There's a surcharge, so it's about a third of your income. You'd need at least ₹ 1.2 crore CTC to support this lifestyle,' commented one LinkedIn user.


NDTV
3 hours ago
- NDTV
US-China Trade Talks Leave Military-Use Rare Earth Issue Unsettled: Sources
Beijing: The renewed US-China trade truce struck in London left a key area of export restrictions tied to national security untouched, an unresolved conflict that threatens a more comprehensive deal, two people briefed on detailed outcomes of the talks told Reuters. Beijing has not committed to grant export clearance for some specialized rare-earth magnets that US military suppliers need for fighter jets and missile systems, the people said. The United States maintains export curbs on China's purchases of advanced artificial intelligence chips out of concern that they also have military applications. At talks in London last week, China's negotiators appeared to link progress in lifting export controls on military-use rare earth magnets with the longstanding US curbs on exports of the most advanced AI chips to China. That marked a new twist in trade talks that began with opioid trafficking, tariff rates and China's trade surplus, but have since shifted to focus on export controls. In addition, US officials also signalled they are looking to extend existing tariffs on China for a further 90 days beyond the August 10 deadline agreed in Geneva last month, both sources said, suggesting a more permanent trade deal between the world's two largest economies is unlikely before then. The two people who spoke to Reuters about the London talks requested not to be named because both sides have tightly controlled disclosure. The White House, State Department and Department of Commerce did not immediately respond to requests for comment. China's Foreign and Commerce ministries did not respond to faxed requests for comment. President Donald Trump said on Wednesday the handshake deal reached in London between American and Chinese negotiators was a "great deal," adding, "we have everything we need, and we're going to do very well with it. And hopefully they are too." And US Treasury Secretary Scott Bessent said there would be no "quid pro quo" on easing curbs on exports of AI chips to China in exchange for access to rare earths. China Chokehold But China's chokehold on the rare earth magnets needed for weapons systems remains a potential flashpoint. China dominates global production of rare earths and holds a virtual monopoly on refining and processing. A deal reached in Geneva last month to reduce bilateral tariffs from crushing triple-digit levels had faltered over Beijing's restrictions on critical minerals exports that took shape in April. That prompted the Trump administration to respond with export controls preventing shipments of semiconductor design software, jet engines for Chinese-made planes and other goods to China. At the London talks, China promised to fast-track approval of rare-earth export applications from non-military US manufacturers out of the tens of thousands currently pending, one of the sources said. Those licenses will have a six-month term. Beijing also offered to set up a "green channel" for expediting license approvals from trusted US companies. Initial signals were positive, with Chinese rare-earths magnet producer JL MAG Rare-Earth, saying on Wednesday it had obtained export licences that included the United States, while China's Commerce Ministry confirmed it had approved some "compliant applications" for export licences. But China has not budged on specialized rare earths, including samarium, which are needed for military applications and are outside the fast-track agreed in London, the two people said. Automakers and other manufacturers largely need other rare earth magnets, including dysprosium and terbium. Big Issues Remain The rushed trade meeting in London followed a call last week between Trump and Chinese leader Xi Jinping. Trump said US tariffs would be set at 55% for China, while China had agreed to 10% from the United States. Trump initially imposed tariffs on China as punishment for its massive trade surplus to the United States and over what he says is Beijing's failure to stem the flow of the powerful opioid fentanyl into the US Chinese analysts are pessimistic about the likelihood of further breakthroughs before the August 10 deadline agreed in Geneva. "Temporary mutual accommodation of some concerns is possible but the fundamental issue of the trade imbalance cannot be resolved within this timeframe, and possibly during Trump's remaining term," said Liu Weidong, a US-China expert at the Institute of American Studies, Chinese Academy of Social Sciences. An extension of the August deadline could allow the Trump administration more time to establish an alternative legal claim for setting higher tariffs on China under the Section 301 authority of the USTR in case Trump loses the ongoing legal challenge to the tariffs in US court, one of the people with knowledge of the London talks said. The unresolved issues underscore the difficulty the Trump administration faces in pushing its trade agenda with China because of Beijing's control of rare earths and its willingness to use that as leverage with Washington, said Ryan Hass, director of the John L. Thornton China Center at the Brookings Institution. "It has taken the Trump team a few punches in the nose to recognise that they will no longer be able to secure another trade agreement with China that disproportionately addresses Trump's priorities," Hass said.