A misconfigured AWS CodeBuild webhook allowed bypass of actor ID checks, risking takeover of four AWS GitHub repositories before fixes in Sep 2025.
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Google now lets you change your @gmail.com address, rolling out
Google has confirmed that it’s now possible to change your @gmail.com address. This means that if your current email is [email protected], you can now change it to [email protected].
Gootloader now uses 1,000-part ZIP archives for stealthy delivery
The Gootloader malware, typically used for initial access, is now using a malformed ZIP archive designed to evade detection by concatenating up to 1,000 archives.
In doing so, the malware, which is an archived JScript file, causes many tools to crash when trying to analyze it.
According to researchers, the malicious file is successfully unpacked using the default utility in Windows, but tools relying on 7-Zip and WinRAR fail.
View a PDF of the paper titled A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness, by Erik Hoel
Scientific theories of consciousness should be falsifiable and non-trivial. Recent research has given us formal tools to analyze these requirements of falsifiability and non-triviality for theories of consciousness. Surprisingly, many contemporary theories of consciousness fail to pass this bar, including theories based on causal structure but also (as I demonstrate) theories based on function. Herein I show these requirements of falsifiability and non-triviality especially constrain the potential consciousness of contemporary Large Language Models (LLMs) because of their proximity to systems that are equivalent to LLMs in terms of input/output function; yet, for these functionally equivalent systems, there cannot be any falsifiable and non-trivial theory of consciousness that judges them conscious. This forms the basis of a disproof of contemporary LLM consciousness. I then show a positive result, which is that theories of consciousness based on (or requiring) continual learning do satisfy the stringent formal constraints for a theory of consciousness in humans. Intriguingly, this work supports a hypothesis: If continual learning is linked to consciousness in humans, the current limitations of LLMs (which do not continually learn) are intimately tied to their lack of consciousness.
