There are plenty of asexuals who masturbate but don’t want sex with others. Asexuality is about sexual attraction, flicking the bean and choking the chicken don’t require attraction. Many other asexuals aren’t interested in those activities, but it’s not part of the criteria for the label.

who wouldn’t want reliable orgasms with a caring partner?

Asexuals.

I don’t really use this community, but I ban a lot of accounts that talk like an AI, use em dashes excessively, and come to this community to promote “their” projects. 🤔

MULTIVERSE is ready, I marked the authenticator domain as trusted and made sure registration is working

That’s the plot of Inside Job!

I’m less worried about heavy metals in dumps than I am about Earth becoming too hot for mammalian life. I don’t wanna go back to dinosaur times.

I’m having trouble logging in. Is Piefed supported?

As an autistic anglophone, I was also at one point confused why there are laws about drinking and driving :3

I dislike being touched and I react the same way as Sam does. It sucks and kinda hurts because of the overstimulation, but it doesn’t debilitate Me. Just makes life a bit harder. My partners are very kind and ask permission before touching Me for intimate times.

I don’t fucking know, I was a child when I got diagnosed.

Yes, and as an officially verified autist, I think self-diagnosis is valid. Testing is expensive and isn’t worth it for everyone.

Years ago I got really fucking affected by This Too Shall Pass by A Sound Of Thunder

https://www.ibm.com/think/topics/artificial-intelligence

What is AI?

Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy.

Applications and devices equipped with AI can see and identify objects. They can understand and respond to human language. They can learn from new information and experience. They can make detailed recommendations to users and experts. They can act independently, replacing the need for human intelligence or intervention (a classic example being a self-driving car).

But in 2024, most AI researchers, practitioners and most AI-related headlines are focused on breakthroughs in generative AI (gen AI), a technology that can create original text, images, video and other content. To fully understand generative AI, it’s important to first understand the technologies on which generative AI tools are built: machine learning (ML) and deep learning.

https://www.britannica.com/technology/artificial-intelligence

artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since their development in the 1940s, digital computers have been programmed to carry out very complex tasks—such as discovering proofs for mathematical theorems or playing chess—with great proficiency. Despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in executing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots.

https://en.wikipedia.org/wiki/Artificial_intelligence

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics and computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.[1]

High-profile applications of AI include advanced web search engines, chatbots, virtual assistants, autonomous vehicles, and play and analysis in strategy games (e.g., chess and Go). Since the 2020s, generative AI has become widely available to generate images, audio, and videos from text prompts.

The traditional goals of AI research include learning, reasoning, knowledge representation, planning, natural language processing, and perception, as well as support for robotics.[a] To reach these goals, AI researchers have used techniques including state space search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics.[b] AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields.[2] Some companies, such as OpenAI, Google DeepMind and Meta, aim to create artificial general intelligence (AGI) – AI that can complete virtually any cognitive task at least as well as a human.[3]

Artificial intelligence was founded as an academic discipline in 1956,[4] and the field went through multiple cycles of optimism throughout its history,[5][6] followed by periods of disappointment and loss of funding, known as AI winters.[7][8] Funding and interest increased substantially after 2012, when graphics processing units began being used to accelerate neural networks, and deep learning outperformed previous AI techniques.[9] This growth accelerated further after 2017 with the transformer architecture.[10] In the 2020s, an AI boom has coincided with advances in generative AI, which allowed for the creation and modification of media. In addition to AI safety and unintended consequences and harms from the use of AI, ethical concerns, AI’s long-term effects, and potential existential risks have prompted discussions of AI regulation.

That’s because non-technical people watch far more movies than computer science lectures. They think AI is that thing from the movies.

At low speeds, yes. They’re just as loud at high speeds because the noise comes from the tires, not the engines.

Expert machines are AI, genetic algorithms are AI, state machines are AI, and the perceptron was AI.

That’s because AI stands for artificial intelligence, and all of those technologies are attempts to artificially produce intelligence.

And fully autonomous vehicles would be electric, so no noise increase

At low speed, most of the noise an ICE car produces is the engine. At high speeds, most of the noise is the tires on the road. At high speeds, electric and ICE cars are equally loud. At even higher speeds, they’re even louder.

What if the car companies lobby the government to ban manual cars and pedestrians from the road so that speeds can be safely increased, thereby increasing noise and particulate pollution and isolating us in between high speed nightmare roads?

You play too many video games if you think AI means Cortana. Computer scientists have been building artificial intelligence since the 1950s

Look up My Immortal