This new paper develops an information-processing theory of consciousness and uses it to identify how consciousness can be instantiated in AI, paving the way for genuine AGI and beyond (the paper demonstrates that conscious functioning is the missing ingredient that enables a toddler to navigate an obstacle-strewn room or an 18-year-old to learn to drive with massively less training than is required by a robot or autonomous vehicle): Abstract: An acceptable information-processing theory of consciousness should be able to identify the adaptive advantages that drove the emergence of consciousness during the evolution of life. It should also predict the specific dynamical architecture of information processing that would need to be instantiated in AI to produce consciousness and the superior adaptation it enables. Whether such an instantiation produces AI that is actually conscious and also more adaptable would provide the ultimate test of the theory. A prime candidate for such a theory is the Subject-Object Emergence Theory of consciousness. It argues that consciousness first evolved because it enabled organisms to achieve adaptive body-environment coordination without extensive trial-and-error learning. It postulates that the subject in an appropriate Subject-Object subsystem would be able to use depictive (iconic) visual representations of the relative positions of its body and the environment to guide motor actions that will produce adaptive body-environment coordination. The depictive representations will 'light up' for such a subject, producing subjective experience that is used to deliver adaptive benefits. Hand-eye coordination is a familiar example in humans—novel and intricate coordination tasks can be undertaken without additional reinforcement learning, provided focused conscious attention is employed to provide us (the subject) with relevant depictive images. The paper identifies how such a conscious Subject-Object subsystem could be instantiated in AI systems, enabling hand-eye and other body-environment coordination without the extensive reinforcement learning or complex computational programming needed at present. Drawing further on the Subject-Object theory of consciousness, the paper also identifies how these simple conscious subsystems evolved further in organisms to establish the conscious modelling that enables conscious planning, imagining, abduction and other higher cognitive functions. It demonstrates that current approaches to incorporating world modelling in AI will fail to achieve key elements of the general intelligence found in humans that require consciousness. The full paper can be accessed freely at: https://ssrn.com/abstract=6911039 submitted by /u/BigPicturexyz [link] [Kommentare]
Since January 1, 2026, every crypto exchange and broker serving EU residents has been collecting, for tax authorities, a file on each client: name, home address, date and place of birth, tax numbers, and aggregate yearly values of everything bought, sold, and swapped. Transfers to addresses the platform does not recognize are reported too, which in practice flags withdrawals to self-custody. In 2027 these files start flowing between the tax administrations of all 27 member states. The fiscal purpose is legitimate and the data is not public. That is precisely why the honest question is not whether the system is sealed on paper but how comparable datasets have actually escaped. The record is complete: a hacked private provider (Ledger 2020, 270,000 customers with home addresses), a bribed insider at a support contractor (Coinbase 2025, about 70,000 users including KYC document scans, with bribes reportedly starting in the hundreds of dollars), a corrupt official (a clerk at a French tax office, in custody since June 2025, allegedly ran queries for crypto investors and sold the results to organized crime), and a breached crypto tax platform (Waltio, January 2026, database on the dark web). In 2019 Bulgaria leaked the tax records of nearly every adult in the country. The stakes differ from ordinary financial data. A bank balance is a claim on an institution, protected by reversals and AML holds; self-custodied crypto is a bearer asset, seized together with the person. Knowing someone's deposit helps a fraudster; knowing someone's hardware wallet helps a kidnapper. The CJEU understood this in 2022 when it struck down public beneficial-ownership registers, listing fraud, kidnapping, blackmail, extortion, harassment, and violence as the risks of exposing wealth data. What proportionate design would look like: strict data minimization, logged and audited access per official, serious criminal exposure for misuse, independent audits of the exchange systems. What individuals can lawfully do meanwhile: shrink the KYC surface to one provider, never ship wallet hardware to a home address, and structure custody so that leaked knowledge is useless to an attacker. submitted by /u/Robert-Nogacki [link] [Kommentare]
Taking a brief off-ramp from the information highway.
Why is everyone so okay with these people stealing money from them . What a crook of shit. Fuck you guys that reported my post. Fucking halarious. Keep getting scammed submitted by /u/Taking-up-space- [link] [Kommentare]
Prolonged period of above-average temperatures in the equatorial Pacific expected to peak this winter
OpenSSH ships in Windows, sshd comes preinstalled on Server 2025, and PowerShell 7 remotes over SSH natively. A twenty-year follow-up to the Cygwin kludge, including the key-permissions gotcha that still bites everyone.
Original systems, engines, and architecture—published with interactive proof surfaces and honest boundaries.
How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.
