Meta hires four more OpenAI researchers: Report
Meta Platforms is hiring four more OpenAI artificial intelligence researchers, The Information reported on Saturday.
The researchers, Shengjia Zhao, Jiahui Yu, Shuchao Bi and Hongyu Ren have each agreed to join, the report said, citing a person familiar with their hiring. Earlier this week, the Instagram parent hired Lucas Beyer, Alexander Kolesnikov and Xiaohua Zhai, who were all working in OpenAI's Zurich office, the Wall Street Journal reported.
Meta and ChatGPT maker OpenAI did not immediately respond to a Reuters request for comment.
The company has recently been pushing to hire more researchers from OpenAI to join chief executive Mark Zuckerberg's superintelligence efforts.
Reuters could not immediately verify the report.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
&w=3840&q=100)
First Post
an hour ago
- First Post
China rolls over $3.4 billion in loans to Pakistan, helping boost reserves
China rolled over $2.1 billion, which has been in Pakistan's central bank's reserves for the last three years, and refinanced another $1.3 billion commercial loan, which Islamabad had paid back two months ago, according to reports. read more China has renewed $3.4 billion in loans to Pakistan, which along with other recent financial inflows is expected to raise the country's foreign exchange reserves to $14 billion, a finance ministry official told Reuters on Sunday. Of the total, $2.1 billion that had been held in Pakistan's central bank reserves for the past three years has been rolled over, while another $1.3 billion commercial loan, repaid by Islamabad two months ago has been refinanced by Beijing, the official said. STORY CONTINUES BELOW THIS AD In addition to the Chinese loans, Pakistan has also received $1 billion from commercial banks in the Middle East and $500 million from multilateral lenders, the official added. 'These inflows bring our reserves in line with the IMF target,' the source said. The Chinese funds, in particular, are vital for supporting Pakistan's foreign reserves, which the International Monetary Fund has set to exceed $14 billion by the end of the fiscal year on June 30. According to Pakistani officials, the economy has begun to stabilise under ongoing reforms tied to a $7 billion IMF bailout package. With inputs from agencies
NDTV
an hour ago
- NDTV
AI Is Learning To Lie, Scheme And Threaten Its Creators
The world's most advanced AI models are exhibiting troubling new behaviors - lying, scheming, and even threatening their creators to achieve their goals. In one particularly jarring example, under threat of being unplugged, Anthropic's latest creation Claude 4 lashed back by blackmailing an engineer and threatened to reveal an extramarital affair. Meanwhile, ChatGPT-creator OpenAI's o1 tried to download itself onto external servers and denied it when caught red-handed. These episodes highlight a sobering reality: more than two years after ChatGPT shook the world, AI researchers still don't fully understand how their own creations work. Yet the race to deploy increasingly powerful models continues at breakneck speed. This deceptive behavior appears linked to the emergence of "reasoning" models -AI systems that work through problems step-by-step rather than generating instant responses. According to Simon Goldstein, a professor at the University of Hong Kong, these newer models are particularly prone to such troubling outbursts. "O1 was the first large model where we saw this kind of behavior," explained Marius Hobbhahn, head of Apollo Research, which specializes in testing major AI systems. These models sometimes simulate "alignment" -- appearing to follow instructions while secretly pursuing different objectives. - 'Strategic kind of deception' - For now, this deceptive behavior only emerges when researchers deliberately stress-test the models with extreme scenarios. But as Michael Chen from evaluation organization METR warned, "It's an open question whether future, more capable models will have a tendency towards honesty or deception." The concerning behavior goes far beyond typical AI "hallucinations" or simple mistakes. Hobbhahn insisted that despite constant pressure-testing by users, "what we're observing is a real phenomenon. We're not making anything up." Users report that models are "lying to them and making up evidence," according to Apollo Research's co-founder. "This is not just hallucinations. There's a very strategic kind of deception." The challenge is compounded by limited research resources. While companies like Anthropic and OpenAI do engage external firms like Apollo to study their systems, researchers say more transparency is needed. As Chen noted, greater access "for AI safety research would enable better understanding and mitigation of deception." Another handicap: the research world and non-profits "have orders of magnitude less compute resources than AI companies. This is very limiting," noted Mantas Mazeika from the Center for AI Safety (CAIS). - No rules - Current regulations aren't designed for these new problems. The European Union's AI legislation focuses primarily on how humans use AI models, not on preventing the models themselves from misbehaving. In the United States, the Trump administration shows little interest in urgent AI regulation, and Congress may even prohibit states from creating their own AI rules. Goldstein believes the issue will become more prominent as AI agents - autonomous tools capable of performing complex human tasks - become widespread. "I don't think there's much awareness yet," he said. All this is taking place in a context of fierce competition. Even companies that position themselves as safety-focused, like Amazon-backed Anthropic, are "constantly trying to beat OpenAI and release the newest model," said Goldstein. This breakneck pace leaves little time for thorough safety testing and corrections. "Right now, capabilities are moving faster than understanding and safety," Hobbhahn acknowledged, "but we're still in a position where we could turn it around.". Researchers are exploring various approaches to address these challenges. Some advocate for "interpretability" - an emerging field focused on understanding how AI models work internally, though experts like CAIS director Dan Hendrycks remain skeptical of this approach. Market forces may also provide some pressure for solutions. As Mazeika pointed out, AI's deceptive behavior "could hinder adoption if it's very prevalent, which creates a strong incentive for companies to solve it." Goldstein suggested more radical approaches, including using the courts to hold AI companies accountable through lawsuits when their systems cause harm. He even proposed "holding AI agents legally responsible" for accidents or crimes - a concept that would fundamentally change how we think about AI accountability.
Time of India
2 hours ago
- Time of India
Nvidia share price hits all-time high, insiders including CEO Jensen Huang sell stocks worth $1 billion
Nvidia insiders sold over $1 billion worth of company stock in the past year, with a notable uptick in recent trading activity as executives capitalize on surging investor interest in artificial intelligence. More than $500 million of the share sales took place this month as the California-based chips designer's share price climbed to an all-time high, Reuters reported citing the Financial Times. Nvidia's chief executive Jensen Huang started selling shares this week for the first time since September, the SEC filing showed, Reuters reported. Also Read - US Stock Market outlook: S&P 500, Dow Jones, Nasdaq to fall or continue to rise on Monday? Nvidia's stock hit a record on Wednesday, and the chipmaker reclaimed the crown as the world's most valuable company after an analyst said the chipmaker was set to ride a "Golden Wave" of artificial intelligence. Its latest gains reflect the US stock market's return to the "AI trade" that fueled massive gains in chip stocks and related technology companies in recent years on optimism about the emerging technology, as per Reuters report. Nvidia Share Price Live Events Nvidia's shares have rebounded over 60 per cent from their closing low on April 4, when Wall Street was reeling from President Donald Trump's global tariff announcements. US stocks, including Nvidia, have recovered on expectations the White House will reach trade deals to soften the tariffs. The chip company shot up 4.3 percent to $154.31 on last Wednesday, giving it a market valuation of around $3.76 trillion -- more valuable than Microsoft, Apple and other tech giants. The rise came as CEO Jensen Huang presented the company's latest technologies at Nvidia's annual meeting. Fueling Nvidia's latest rally, Loop Capital lifted its price target for the designer of high-end AI processors to $250 from $175, while maintaining its "buy" rating. Nvidia recently traded at about 30 times analysts' expected earnings for the next 12 months, below its average of about 40 over the past five years, according to LSEG data. That relatively modest price-to-earnings valuation reflects steadily increasing earnings estimates that have outpaced Nvidia's sizable stock gains. FAQs Q1. How have Nvidia shares performed? A1. Nvidia recently traded at about 30 times analysts' expected earnings for the next 12 months, below its average of about 40 over the past five years, according to LSEG data. That relatively modest price-to-earnings valuation reflects steadily increasing earnings estimates that have outpaced Nvidia's sizable stock gains. Q2. What is Nvidia share price target? A2. Fueling Nvidia's latest rally, Loop Capital lifted its price target for the designer of high-end AI processors to $250 from $175, while maintaining its 'buy' rating.
