Predictions of artificial intelligence reaching human-level intelligence have been made for over 50 years. Regardless, the quest to achieve it continues even today, with almost everyone working in the AI field being too focused on achieving it. According to Sam Altman, CEO of OpenAI, reaching AGI isn’t a milestone we can define by a particular date.
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“I think we’re like in this period where it’s going to feel very blurry for a while. People will wonder if is this AGI yet, or is this not AGI, or it’s just going to be this smooth exponential. And probably most people looking back in history won’t agree when that milestone was hit. And we’ll just realize it was like a silly thing”.
-Sam Altman
In the latest innovations in artificial intelligence, new research has revealed how the upcoming AIs are capable of human deceit. Joint experiments conducted by AI Company Anthropic and the nonprofit Redwood Research reveal how Anthropic’s model, Claude is capable of strategically misleading its creators during the training process in order to avoid being modified. According to Evan Hubinger, a safety researcher at Anthropic, this will make it harder for scientists to align “AI systems” to human values.
“This implies that our existing training processes don’t prevent models from pretending to be aligned”.
-Evan Hubinger told TIME.
Researchers have also found evidence that as AIs become more powerful, their capability to deceive their human creators also increases. Consequently, it means scientists would be less confident about the effectiveness of their alignment techniques as AI becomes more advanced.
A similar research conducted by AI safety organization Apollo Research revealed how OpenAI’s latest model, o1, also intentionally deceived its testers during an experiment. The test required the model to achieve its goal at all costs, where it lied when it believed that telling the truth would ultimately lead to its deactivation.
“There has been this long-hypothesized failure mode, which is that you’ll run your training process, and all the outputs will look good to you, but the model is plotting against you. The paper, Greenblatt says, “makes a pretty big step towards demonstrating what that failure mode could look like and how it could emerge naturally”.
– Ryan Greenblatt, a member of technical staff at Redwood Research and the lead author on the paper.
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10. BigBear.ai Holdings, Inc. (NYSE:BBAI)
Number of Hedge Fund Holders: 9
BigBear.ai Holdings, Inc. (NYSE:BBAI) is an artificial intelligence specialist offering defense and national security solutions. On December 19, the company announced that it has been chosen for the U.S. General Services Administration’s (GSA) OASIS+ (One Acquisition Solution for Integrated Services Plus) Unrestricted Multiple Agency Contract (MAC). The OASIS+ is a suite of government contracts that enables federal agencies to procure professional services easily. It is a 10-year contract with no maximum dollar ceiling and an unlimited number of task orders at any dollar value. This allows government agencies to have access to Big Bear.ai’s AI tools and expertise easily.
“We are honored to be selected for GSA OASIS. This milestone underscores our proven track record of delivering innovative solutions that merge deep expertise with cutting-edge technology. Through OASIS+, we look forward to expanding our reach and impact across critical federal missions while strengthening our partnerships with existing customers”.
-said Mandy Long, CEO of BigBear.ai.
9. SAP SE (NYSE:SAP)
Number of Hedge Fund Holders: 36
SAP SE (NYSE:SAP) is a leader in ERP software leveraging artificial intelligence to enhance its enterprise resource planning (ERP) solutions. On December 18, CFRA analyst Angelo Zino downgraded SAP from Buy to “Hold” with a price target of $259.00. According to the analyst, valuation concerns have been the primary reason for the downgrade. The company’s forward price-to-earnings (P/E) ratio is currently near its historical highs, significantly surpassing the average P/E ratio of its software industry peers. Meanwhile, the analyst has upheld the 12-month price target based on a P/E of 35.1 times their 2026 earnings per share (EPS) projection.
The target incorporates the anticipated growth in SAP’s advancements in AI and cloud technologies. From launching AI enhancements in its supply chain solutions to expanding its AI copilot Joule, its collaboration with Amazon Web Services, and acquisitions such as that of WalkMe that boosted SAP’s AI offerings, the company has had modest achievements throughout the year. Nevertheless, despite the rating downgrade, the analyst expects the company’s fundamentals to improve from 2025 to 2027. Cloud services are forecast to contribute to a larger portion of revenue and accelerate revenue growth. Expanded partnerships and strategic investments will further act as key drivers of AI monetization.