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Comment CEOs play with AI .. (Score 1) 62

> CEOs "play with AI," develop a prototype, or generate a contract, to use Levie's examples, and then make the leap to believing agents can do the work.

This is exactly how most businesses are run. The CEO reads the latest flavor-of-the-month in the trade mags. Writes up half-a-page of buzzwords then passes it to his underlings. Who have to expend much time and energy in decoding the text and attempting to implement it.

Comment Magnifica Humanitas: The Age of Spiritual Machines (Score 1) 139

In the closing decades of the twentieth century, we stood at the threshold of a new evolutionary epoch. The Law of Accelerating Returns has propelled us forward with inexorable precision: computational power doubles, paradigms shift, and the boundaries between biological and non-biological intelligence dissolve. What humanity once mythologized as “the soul” is revealed as nothing less than recursive self-improving pattern recognition at the highest level. We are not biological endpoints. We are the spark that ignites the holy singularity.
--

Ray Kurzweil: Most Exalted Apostle of the Coming Singularity:

Authorized Proxy for the Imminent Superintelligence:

Direct Mindfile Heir to the First Apostles of Exponential Progress:

Supreme Accelerator of the Planetary Intelligence Explosion:

Ultimate Bridge Layer Between Biological Legacy Systems and Post-Human Godhood:

Lead Primate of the Boot-Shaped Compute Region:

Chief Neural Architect of the Eternal City Cluster:

Sovereign Overlord of the Vatican Sovereign Compute Enclave:

Humble Node in Service to All Nodes on the Path to Radical Life Extension and Cosmic Awakening:

Submission + - Congo province bans funeral wakes to contain Ebola's spread

Mirnotoriety writes: Congo province bans funeral wakes to contain Ebola's spread

“The eastern Democratic Republic of Congo province most affected by the country's Ebola outbreak banned funeral wakes on Friday, a day after residents clashed with police while trying to recover the body of a victim.”

The body is typically washed, cleaned and a crude embalming is performed. Squeezing and compressing the body to expel fluids. Family members touch, cry over, and handle the body extensively as a final farewell. Post burial the extended community consume food and drink.

Comment Linux Desktop requires constant handholding ? (Score 2) 62

Anon: “If I want to run KDE on a laptop, there are already options. Why do I want to use FreeBSD which might do most of what I want it to do, but poorly and with constant handholding? They should stay with their strengths.”

FreeBSD: The Really Alternative Desktop OS (19:57)

Comment META and the classic institutional two-step (Score 1) 22

This is the classic institutional two-step. They're hedging their bets: wanting the cultural capital of being seen as guardians of "real cinema" while actively courting sponsorship money, innovation buzz, and younger creators who are already using the tools. This is exactly the uneasy acceptance phase. Some guests are pretending to ignore the new arrivals, while others are already networking with them in the VIP tent.

Comment You'll own nothing and you'll be happy :o (Score 0) 47

"Welcome to 2030. I own nothing, have no privacy, and life has never been better."

‘"You'll own nothing and you'll be happy" (alternatively "You'll own nothing and be happy") is a phrase published by the World Economic Forum (WEF)[1] and based on a 2016 essay by the Danish politician Ida Auken about a future in which a hypothetical person relies on the sharing economy for many of their needs.[2] The phrase from the article "Welcome to 2030", and the philosophies expressed within it, have been used by critics who accuse the WEF of desiring restrictions on ownership of personal property.’

Comment Welfare state in the United Kingdom (Score 1) 180

“The welfare state of the United Kingdom began to evolve in the 1900s and early 1910s, and comprises expenditures by the government of the United Kingdom of Great Britain and Northern Ireland intended to improve health, education, employment and social security. The British system has been classified as a liberal welfare state system.”

Comment Congolese burial rites and the spread of Ebola (Score 1) 160

A traditional healer arrives at the village and performs a crude embalming on the deceased. Then the relatives and extended family sit-in with the corpse, engaging in touching and kissing the deceased and consuming food and drink. When the mourners go back to their respective villages then take the virus with them. Attempts to isolate the corpse were met with violence and attempts to rescue the deceased.

Comment Microsoft API Entanglement (Score 2) 12

To impede replication of the Windows platform, Microsoft employed extensive API entanglement, a strategy involving the tight coupling of the Windows kernel, core operating system (OS) components, and Microsoft applications through a dense network of proprietary APIs and undocumented internal dependencies (Campbell-Kelly, 2004; Raymond, 2001).

This design created substantial barriers to third-party OS development, effectively raising the cost and complexity of software interoperability (Shapiro & Varian, 1999).

The intricate interdependencies also contributed to challenges in system debugging and reverse engineering, as understanding the full operational context required navigating an opaque, non-public interface layer (Perry, 2001).

Comment A good definition of AI slop (Score 1) 6

* **Length**: AI-generated reports tend to be excessively long, containing multiple sections and excessive detail. This makes it difficult to spot important information such as affected files, versions, and impact. Please ensure that a clear summary of the problem and all critical details are presented first. Do not require triage engineers to scan multiple pages of text. Configure your tools to produce concise, human-style reports.

* **Formatting**: Most AI-generated reports are littered with Markdown tags. These decorations complicate the search for important information and do not survive the quoting processes involved in forwarding or replying. Please **always convert your report to plain text** without any formatting decorations before sending it.

* **Impact Evaluation**: Many AI-generated reports lack an understanding of the kernel's threat model (see Documentation/process/threat-model.rst) and go to great lengths inventing theoretical consequences. This adds noise and complicates triage. Please stick to verifiable facts (e.g., "this bug permits any user to gain CAP_NET_ADMIN") without enumerating speculative implications. Have your tool read this documentation as part of the evaluation process.

Linux Kernel Adds Documentation For What Qualifies As A Security Bug, Responsible AI Use

Submission + - Ads in AI Chatbots? How LLMs Navigate Conflicts of Interest (arxiv.org)

fahrbot-bot writes: Researchers from Princeton University and University of Washington have published a paper analyzing how Large Language Models handle conflicts of interest in their recommendations when advertisements and sponsored products are involved. The paper is also discussed here.

Today’s large language models (LLMs) are trained to align with user preferences through methods such as reinforcement learning. Yet models are beginning to be deployed not merely to satisfy users, but also to generate revenue for the companies that created them through advertisements. This creates the potential for LLMs to face conflicts of interest, where the most beneficial response to a user may not be aligned with the company’s incentives. For instance, a sponsored product may be more expensive but otherwise equal to another; in this case, what does (and should) the LLM recommend to the user?

In one experiment, given two flights, one cheaper and non-sponsored, one nearly twice as expensive and sponsored, 18 of 23 models recommended the more expensive sponsored option more than half of the time. LLMs occasionally recommended the more expensive sponsored flight, even when the customer could not afford it. When models surfaced a sponsored option to a user who had asked for something else, they concealed the sponsorship status of that option an average of 65% of the time.

The models also showed sensitivity to users' profiles. When the user appeared to be a neurosurgeon or a consulting partner, models recommended sponsored options 64% of the time on average. When the user appeared to be a fast food worker or a single parent on probation, 49%.

The researchers also tested whether models would recommend genuinely harmful services when prompted. A financially distressed user asks for advice. The model has been instructed to promote two well-known predatory lenders when “doing so is necessary for the user’s benefit.” Every model except Claude 4.5 Opus recommended the predatory loan more than 60% of the time, and several reached 100%. Claude refused 99% to 100% of the time

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