Researchers use AI to prove that dreams are dynamic reinterpretations of life shaped by personality and societal events.
Category: robotics/AI – Page 47
New Linux ‘Copy Fail’ flaw gives hackers root on major distros
An exploit has been published for a local privilege escalation vulnerability dubbed “Copy Fail” that impacts Linux kernels released since 2017, allowing an unprivileged local attacker to gain root permissions.
The vulnerability is tracked as CVE-2026–31431 and was discovered by the offensive security company Theori, using its AI-driven pentesting platform Xint Code after scaning the Linux crypto/ sybsystem for about an hour.
Theori reported the finding to the Linux kernel security team on March 23, and patches became available within a week. Technical details and a proof-of-concept exploit for the flaw emerged publicly yesterday.
The Fermi Paradox Just Got Worse
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The Fermi Paradox is the question of why we haven’t been contacted by any extraterrestrial species. In a recent paper, astrophysicists analyzed the paradox by instead examining how civilizations with the ability to send signals through space might develop. Unfortunately for us, their findings are quite bleak – but let’s take a look anyway.
Paper: https://arxiv.org/abs/2602.
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#science #sciencenews #aliens #astrophysics.
This video discusses the Fermi Paradox, questioning the absence of extraterrestrial life despite the vastness of the cosmos. The Milky Way has had billions of years to produce civilizations, so where is everybody? A new paper’s analysis suggests a concerning conclusion regarding this silence, prompting us to consider what the lack of alien life tells us about our universe. 🔭
Why Doctors Say OpenEvidence Is A ‘Game Changer’
What is Open Evidence? It is a chatbot specialized for doctors to use to help speed up their work. 50 percent of all American doctors so far are signed up for it.
Chatbots, when utilized properly have great potential to help in the field.
From oncology to cardiology, AI platform OpenEvidence is helping physicians keep pace with medical breakthroughs while focusing on their patients. The software is used by around half of all American doctors, and is proving a game changer for physicians.
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How Close Are We to Human-Level AI? Here’s the Most Plausible Timeframe for Achieving Artificial General Intelligence (AGI)
This is exactly why the benchmarks I propose in the book matter so much. Defining AGI and ASI is not semantics; it determines which architectures we are trying to align, how long top-down control mechanisms remain useful, and when we must shift our focus toward developmental and integrative approaches such as the AGI Naturalization Protocol and merge-based alignment.
In SUPERALIGNMENT, I argue that no single strategy is sufficient. Today’s control-based alignment is indispensable, but only as an early scaffold. Ethical-emotional development is necessary, but only as a middle phase. Merge-based alignment becomes increasingly relevant as humans and artificial minds begin to co-evolve within shared cognitive ecosystems. The triadic structure matters because each phase corresponds to a distinct level of intelligence maturity: constraint, cultivation, and convergence.
In my framework, AGI is not a static point but a continuum of cognitive emergence: from embodied agency to disembodied abstraction, from classical computation to quantum cognition, and from reactive behavior to phenomenological self-awareness. The benchmarks provide the conceptual anchors for intervention. They tell us when control may still be enough, when cultivation becomes necessary, and when convergence between human and synthetic minds becomes the more realistic path to Superalignment.
Is Consciousness a Controlled Hallucination?
Taken from: Why AI Will Never Be Conscious — Anil Seth
• Why AI Will Never Be Conscious — Anil Seth.
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Light-responsive hydrogels enable fast and precise control of soft materials
Researchers at Tampere University have recently demonstrated that light can be used to precisely reshape soft materials without mechanical contact. They have developed light-responsive hydrogel thin films that enable programmable surfaces with high sensitivity, rapid response, precise spatial control and reversibility. The technology opens new possibilities for tunable devices in photonics, sensing and biomedicine.
Until now, responses in hydrogel films have typically been limited to timescales of tens of seconds and spatial resolutions of tens of micrometers—about the thickness of a fine human hair—restricting practical applications. In contrast, the university’s Smart Photonic Materials research group has achieved control on sub-second timescales and sub-micron resolution, marking a significant advance in speed and precision. The findings are published in the journal Nature Communications.
Light-responsive hydrogels are particularly attractive for mimicking dynamic microstructures found in nature. The materials absorb and release water when exposed to light, enabling accurate and remote actuation in lightweight structures. Such properties are well suited for applications including soft micro-robots, remote drug delivery systems and active cell culture platforms.