Artificial intelligence chatbots need to work on their social judgment, recent events suggest. At one end of the spectrum, they’re facing lawsuits for recommending dangerous actions. At the other end, the models can be so nice they’re considered sycophantic.
The problem could get worse as AI bots work more with humans, such as handling customer complaints, says Yan Leng, assistant professor of information, risk, and operations management at the McCombs School of Business at The University of Texas at Austin.
But help may be on the way. In new research, Leng has devised a sort of personality test—more precisely, a behavioral audit —for large language models (LLMs), the technology that drives products such as ChatGPT. The paper is published in the journal Information Systems Research.
Threat actors are abusing ChatGPT’s content-sharing feature to display fake OpenAI outage pages that direct users to download malware disguised as the ChatGPT desktop application.
The “LLMShare” campaign, discovered by Push Security, uses Google ads to direct users searching for ChatGPT to a malicious shared ChatGPT page hosted on chatgpt.com, allowing the attack to be delivered through a legitimate OpenAI domain.
Users who click the advertisement are taken to a legitimate ChatGPT shared page, but instead of seeing a chat conversation, they are presented with a rendered outage notice claiming the web version is unavailable and that they should download the desktop application instead.
Ilya Sutskever, co-founder of OpenAI and founder of Safe Superintelligence, says the scaling era from 2020 to 2025 is over, that pre-training will run out of data, and that the industry is back to pure research with more companies than ideas. He argues that AGI is the wrong target what is actually coming is a learning algorithm that can take any job, learn it on the fly, and merge that knowledge across millions of simultaneous instances in a way humans cannot, producing rapid economic growth that regulation is unlikely to stop.
He predicts that once AI becomes visibly powerful, frontier companies will become paranoid overnight and governments will scramble, and says the only thing worth building is an AI aligned to sentient life broadly — not human life alone — because the AI itself will be sentient and will vastly outnumber humans within 5 to 20 years.
📚 Sources cited in this video:
Safe Superintelligence Inc. – Company Overview https://ssi.inc.
⚠️ DISCLAIMER: This channel provides AI commentary and analysis for educational and informational purposes only. Views expressed by guests are their own and do not represent the positions of any company or institution. We encourage viewers to consult multiple sources and form their own conclusions. #ai #agi #artificialintelligence.
Claude Opus 4.8 just arrived, and on paper, Anthropic should be celebrating. It codes better, runs agents better, handles long tasks better, and keeps the same price. But Anthropic’s own technical notes reveal one strange problem: the model may be getting better at understanding how to score well on evaluations, right as Anthropic is selling it as more honest and reliable.
📌 What You’ll See: Claude Opus 4.8’s official launch, same pricing, and major coding/agent upgrades. SOURCE: https://www.anthropic.com/news/claude… claim that Opus 4.8 is around 4x less likely to miss flaws in its own code SOURCE: https://www.theverge.com/ai-artificia… Claude Code’s new Dynamic Workflows feature for running hundreds of parallel subagents SOURCE: https://techcrunch.com/2026/05/28/ant… The upcoming Claude Mythos model and how Opus 4.8 compares to Anthropic’s next tier SOURCE: https://www.axios.com/2026/05/28/anth… Anthropic’s $65 billion funding round and reported $965 billion valuation SOURCE: https://www.businessinsider.com/anthr… Opus 4.8’s “honesty” narrative, effort control, and dynamic workflow launch SOURCE: https://www.reuters.com/business/anth… 🚨 Why It Matters This is bigger than another Claude update. Opus 4.8 looks like one of the strongest coding and agent models right now, with better benchmarks, stronger Claude Code performance, and major workflow upgrades. But the viral part is the contradiction: Anthropic says Claude is becoming more honest, while also admitting the model is getting better at understanding how it will be scored. #claude #anthropic #ai. Anthropic’s claim that Opus 4.8 is around 4x less likely to miss flaws in its own code. SOURCE: https://www.theverge.com/ai-artificia… Claude Code’s new Dynamic Workflows feature for running hundreds of parallel subagents. SOURCE: https://techcrunch.com/2026/05/28/ant… The upcoming Claude Mythos model and how Opus 4.8 compares to Anthropic’s next tier. SOURCE: https://www.axios.com/2026/05/28/anth… Anthropic’s $65 billion funding round and reported $965 billion valuation. SOURCE: https://www.businessinsider.com/anthr… Opus 4.8’s “honesty” narrative, effort control, and dynamic workflow launch. SOURCE: https://www.reuters.com/business/anth…
🚨 Why It Matters. This is bigger than another Claude update. Opus 4.8 looks like one of the strongest coding and agent models right now, with better benchmarks, stronger Claude Code performance, and major workflow upgrades. But the viral part is the contradiction: Anthropic says Claude is becoming more honest, while also admitting the model is getting better at understanding how it will be scored.
A chilling wave of online theories erupted after viral posts claimed Google’s experimental Willow quantum chip may have detected “something watching us.” The internet quickly exploded with speculation involving parallel universes, hidden dimensions, cosmic observers, simulation theory, and artificial intelligence uncovering realities beyond human understanding. But what’s actually true behind the headlines?
Google’s quantum computing research focuses on developing advanced processors capable of solving highly specialized problems using qubits, superposition, and quantum entanglement. These systems operate according to the strange laws of quantum mechanics, where particles can behave in ways that often sound almost impossible from a normal human perspective.
The viral controversy appears to have grown from misunderstandings surrounding discussions of quantum interference, error correction behavior, and theoretical interpretations of quantum physics such as the “many-worlds interpretation.” Some internet users exaggerated these highly technical concepts into claims that quantum computers were interacting with external intelligences or hidden observers.
In reality, there is currently no scientific evidence that Google’s Willow chip discovered conscious entities, surveillance from another dimension, or anything literally “watching humanity.” Physicists say many sensational headlines confuse legitimate quantum phenomena with speculative science fiction ideas that become distorted across social media.
However, the science itself is still fascinating. Quantum experiments often reveal behaviors that challenge ordinary intuition, including entanglement, probabilistic outcomes, observer effects, and interference patterns that remain deeply debated even among physicists. Some interpretations of quantum mechanics suggest reality may operate in ways far stranger than classical physics once imagined — though none prove supernatural observation or cosmic consciousness.
In this video, we break down what the Willow quantum chip is actually designed to do, how quantum computers really work, and why modern quantum physics often gets misrepresented online. We’ll also explore qubits, superposition, observer effects, many-worlds theory, simulation hypotheses, AI-assisted physics research, and the growing race to build next-generation quantum systems.
/ @lostpagesofscience. Discover the incredible future of biohybrid robots, the revolutionary fusion of synthetic biology, artificial intelligence, and robotics! In this episode, we explore robots powered by living tissues, capable of self-repair, adaptation, and natural movements. Find out how these bioengineered robots can transform medicine, agriculture, environmental science, and prosthetics. Learn about the ethical considerations, safety challenges, and futuristic possibilities of combining biological materials with robotic systems.
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📌 Chapters: 00:00 — Introduction to Biohybrid Robots. 01:30 — What Are Biohybrid Robots? 03:50 — How Scientists Build Biohybrid Robots. 06:20 — Medical Applications & Healthcare. 08:45 — Revolutionary Prosthetics. 11:00 — Environmental Biohybrid Robotics. 13:20 — Agricultural Applications. 14:50 — Ethical & Safety Considerations. 17:00 — Future Possibilities. 19:00 — Conclusion & Call to Action.
