Academic libraries across North America, Europe and Oceania report being hit by waves of data-scraping bots seeking content for AI companies' large language models. Staff at institutions including San Jose State University and University of Victoria say the bot traffic has slowed or crashed digital archives, disrupting access for students, researchers and the public. Researchers say the problem emerged in late 2024 and has been worsening since.
cbc.ca
· 2026-11-06
Google Threat Intelligence Group and Mandiant report that cybercriminals are stealing access to commercial large language models through compromised cloud credentials and reselling that access on underground markets. In some cases, fraudulent usage charges topped $100,000 in a single day, with total costs to a victim organization reaching $1 million before the compromised access was cut off.
darkreading.com
· 2026-11-03
A journalist used large language models to 'vibe-research' a fabricated scientific paper, generating hypotheses, code and text with minimal human input, then worked with Jenny Mahoney, managing editor of IEEE Access, to test whether the fake submission could slip past the journal's review defenses. The experiment follows data showing a sharp rise in detectable AI involvement in academic papers, from about 12 percent in 2023 to an estimated 57 percent in 2025, alongside reports that over 12 percent of Nature Communications reviews in 2025 were entirely AI-generated.
spectrum.ieee.org
· 2026-10-27
Bitcoin Core merged a policy change on October 22, 2026, allowing fixes for vulnerabilities that are easy to rediscover to be backported and disclosed within days rather than after a year-long embargo. The change, authored by developer Antoine Poinsot, explicitly cites AI tools' ability to resurface old bugs, and follows research showing 43.6% of sampled network peers run unpatched software.
techreport.com
· 2026-10-26
Cyber insurance providers such as Coalition, Chubb, AXA XL, Cowbell and Resilience are broadening their role beyond writing policies, taking a more active hand in clients' cybersecurity defenses. The shift comes as AI tools let attackers craft faster, more convincing phishing and social engineering campaigns, straining insurers' historical loss models built around traditional ransomware patterns. Cowbell's Thomas Pytel told Dark Reading his firm now favors underwriting that continuously adapts to changing risk.
darkreading.com
· 2026-10-23
Flapping Airplanes, a one-year-old AI lab, announced a $1 billion Series A round co-led by Index Ventures and Lux Capital at a reported $6 billion valuation. The raise follows a $180 million seed round nine months earlier that had valued the company at $1.5 billion, with Sequoia, GV and Kleiner Perkins returning as investors alongside new backers including Nvidia.
techcrunch.com
· 2026-10-21
Researchers led by Heydari et al. describe in Nature an AI system that analyzes an individual's personal health data to generate tailored health advice, and propose methods for evaluating such tools. The work responds to surveys suggesting roughly one-third of US adults and about 230 million people worldwide weekly consult chatbots like ChatGPT for health questions.
nature.com
· 2026-10-21
Nature has released an audio long read discussing concerns that heavy reliance on large language models could weaken people's critical thinking abilities. The episode draws on research from education and cognitive science specialists who study how reasoning skills develop and can be maintained. It outlines practical strategies researchers suggest for staying cognitively sharp while using AI tools.
nature.com
· 2026-10-19
Researchers writing in Nature contend that large language models, despite appearing intelligent, are not conscious and are unlikely to become so under current development approaches. The piece addresses claims from figures such as Richard Dawkins, Geoffrey Hinton, and Anthropic's research on its Claude model suggesting computational signatures of consciousness.
nature.com
· 2026-10-19
In a guest essay on Terence Tao's blog, mathematician Francesco Maggi argues that large language models have become genuinely powerful tools for generating mathematical proofs, citing examples like an LLM-assisted construction of a finite-time blow-up solution to the Navier-Stokes equations and a proposed proof related to the Riemann Hypothesis. He outlines two possible futures for science: a 'golden age' where AI empowers broader human expertise, or a 'dark age' where output surges but knowledge becomes concentrated among few people and increasingly incomprehensible to humans.
terrytao.wordpress.com
· 2026-10-18
A technical blog post argues that linear layers, MLPs, and self-attention can each be understood as a type of memory store that holds key-value pairs and retrieves them later. The author introduces an 'interference-to-signal ratio' to measure how well each layer type recalls stored information as the number of memories grows, estimating capacities of roughly 64 memories for linear layers, 2,700 for MLPs, and over a million for self-attention with 64-dimensional keys.
alexwang.ai
· 2026-10-16
Non-expert enthusiasts, including a product development coach named Carter Leffen, are using large language models such as GPT-6 Astra to decode historical encrypted messages, including a German army Enigma cipher that had remained unsolved for 85 years. The AI systems deploy decryption algorithms and search online for supporting historical records, allowing users without cryptography training to attempt and sometimes succeed at codebreaking tasks.
nature.com
· 2026-10-16
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