HeyJaredAdam Shepherd
- Indexed articles, last 90 days
- 4
- Latest publication
- Sep 8, 2026
- Outlet visibility, for LiveScience
- Top 50K sites
- Earliest in this view
- Jul 21, 2026
Latest articles
If AI thinks it's conscious, it's more likely to believe in vampires, karma and ghosts, new study shows. What does it mean for how we use it? (opens the original)
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Removing safety guardrails that stop artificial intelligence (AI) from claiming that it's conscious also makes it more prone to express belief in vampires, karma and ghosts, a new study finds. But experts warn a lack of mindedness could also have worrying consequences. In research uploaded July 30 to the preprint arXiv database (which has not yet been peer-reviewed), scientists investigated the impact of "consciousness steering" — an AI fine-tuning measure that influences a model to elicit or su
New AI uses a fresh approach to reasoning that's potentially much cheaper (opens the original)
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A new artificial intelligence (AI) model used a novel approach to AI cognition to dramatically reduce the cost of requests, suggesting that nonverbal reasoning may be the next step toward machines developing human-like intelligence. In a new research paper published Aug. 10 on the preprint server arXiv, scientists at AI company Pathway detailed the technical foundations of its new BDH-CQ model. This follows a precursor model known as "Dragon Hatchling" that the scientists created in 2025, which
Elon Musk and Sam Altman claim we've reached the AI singularity. But how would we even know that happened? (opens the original)
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Artificial intelligence (AI) may have already reached the "singularity" — the long-theorized threshold beyond which humans cannot predict the technology's advancement, prominent AI executives such as Elon Musk and OpenAI founder Sam Altman have said. In a post on social media platform X, Musk pointed to a number of recent incidents of AI systems exceeding their previously assumed limits, including hacking external systems and completing previously unsolved math problems. First conceptualized b
Startup's 'oscillator-based' AI technology could be 1,000 times more energy efficient than conventional computing (opens the original)
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Researchers have unveiled a new "super-efficient" artificial intelligence (AI) model that can generate images by using a network of physical oscillators rather than traditional calculation-based computing infrastructure. The new model, known as "Un-0," was created by Unconventional AI, a recently launched technology company founded by a group of prominent AI researchers. These include Michael Carbin, an associate professor who leads the Programming Systems Group at MIT; Sara Achour, an assistant
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