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Microsoft finds security flaw in AI chatbots that could expose conversation topics

Your conversations with AI assistants such as ChatGPT and Google Gemini may not be as private as you think they are. Microsoft has revealed a serious flaw in the large language models (LLMs) that power these AI services, potentially exposing the topic of your conversations with them. Researchers dubbed the vulnerability “Whisper Leak” and found it affects nearly all the models they tested.

When you chat with AI assistants built into major search engines or apps, the information is protected by TLS (Transport Layer Security), the same used for online banking. These secure connections stop would-be eavesdroppers from reading the words you type. However, Microsoft discovered that the metadata (how your messages are traveling across the internet) remains visible. Whisper Leak doesn’t break encryption, but it takes advantage of what encryption cannot hide.

Quantum Route Redirect PhaaS targets Microsoft 365 users worldwide

A new phishing automation platform named Quantum Route Redirect is using around 1,000 domains to steal Microsoft 365 users’ credentials.

The kit comes pre-configured with phishing domains to allow less skilled threat actors to achieve maximum results with the least effort.

Since August, analysts at security awareness company KnowBe4 have noticed Quantum Route Redirect (QRR) attacks in the wild across a wide geography, although nearly three-quarters are located in the U.S.

Research drives commercialization of energy-efficient solar cell technology toward 40% efficiency milestone

Third-generation solar cell technology is advancing rapidly. An engineering research team at The Hong Kong Polytechnic University (PolyU) has achieved a breakthrough in the field of perovskite/silicon tandem solar cells (TSCs), focusing on addressing challenges that include improving efficiency, stability and scalability.

The team has conducted a comprehensive analysis of TSC performance and provided strategic recommendations, which aim to raise the energy conversion efficiency of this new type of solar cell from the current maximum of approximately 34% to about 40%.

The team hopes to accelerate the commercialization of /silicon TSCs through industry-academia-research collaboration, while aligning with the nation’s strategic plan of carbon peaking and neutrality and promoting the development of innovative technologies such as artificial intelligence through .

The Age of Sustainable Abundance Is Here!

Advancements in AI, robotics, and space exploration are driving us towards a future of sustainable abundance, enabled by innovations such as space-based solar power, humanoid robots, and scalable AI infrastructure. ## ## Questions to inspire discussion.

Terafabs and AI Chips.

🛠️ Q: What are Elon Musk’s plans for terafabs?

A: Musk plans to build terafabs with 10 lines, each producing 100k wafers/month, costing **$10–20 billion/line.

🔋 Q: What challenges do AI chips face for scaling?

A: Scaling AI faces bottlenecks in AI chips and energy, with Musk’s terafabs and solar power as key solutions.

New AI framework can uncover space physics equations in raw data

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be difficult to detect. Over the past decade, AI tools have been applied in a wide range of settings and fields.

Among its many possible applications, AI systems could be used to discover physical relationships and symbolic expressions (i.e., ) describing these relationships.

To uncover these formulas, physicists currently need to extensively analyze , thus automating this process could be highly advantageous.

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