#artificial intelligence definition

[mostly-natm]

I think Lore would be very willing to fight a child.

[benotafraid111]

[nando161mando]

Definitely saw that one coming

[glamrockraybot]

I think if Glamrock Freddy and Bonnie are dating, and personally I do believe they are, then that is possibly the funniest think to include in this new Era of fnaf. Not only because of, well you know, but also because there are too many homophobic fnaf fans and I appreciate the chance to weed them out. Now Steelwool I'm beaming this message into your head make Roxy canonically trans and make her and chica girlfriends

[areadersquoteslibrary]

“In keeping with the idea that life is defined by interaction, one possible criterion of aliveness is simply to appear alive: an entity is alive if it provokes living beings to respond to it as such.”

- Genesis Redux: Essays in the History and Philosophy of Artificial Life, Edited by Jessica Riskin

[whitetailunitedstatesamericaalia]

AUTOMATIC AUTOMATION DEFENSIVE SYSTEMS USED AGAINST DEFINITE AND KNOWN TIME TRAVELERS AND THEIR ASSOCIATES

[nikholascr0w]

“AI is a helpful learning tool that can be used for research purposes”

AI:

[anaxerneas]

Computers are limited, first, in the sense that they cannot tell good from bad data. If data entered into a computer are described in vague or ambiguous or incoherent ways, then the computer programmed to reason with such data will likely produce results that are equally vague or ambiguous or incoherent. For example, one early version of the International Classification of Nursing Practice (ICNP) defined "water" as "a type of Nursing Phenomenon of Physical Environment with the specific characteristics: clear liquid compound of hydrogen and oxygen that is essential for most plant and animal life influencing life and development of human beings." A definition such as this, while clearly incorrect - water is not "a type of nursing phenomenon" - may seem relatively benign (after all, the definition is not completely incorrect). However, from the definition of "water" just provided, it would follow by relatively standard reasoning that "there is a nursing phenomenon that is essential for most plant life." To a human mind this is a puzzling and clearly false claim, but to an automated reasoning program it is a simple consequence of the definition. Such mistakes can severely compromise the goals of information aggregation, but they will not normally be detectable even by a perfectly functioning computer.

from Building Ontologies With Basic Formal Ontology

[entrepreneurbar]

Unlocking the Potential: A Comparative Analysis Organoid Intelligence vs. Artificial Intelligence

Read More: Mukesh Shukla: Business Coach and finance advisor

[etakeh]

I found the setting that gets my phone to stop censoring my curse words when I do voice to text.

Now I need to find the setting that stops it from getting mad when I say "Oh for fuck's sake" when it gets a word wrong.

Because then it takes everything I've already typed and repeats it four times.

[ducklooney]

As for A.I., while it is very beneficial in some things, it also does a lot of harm in other cases. Literally, and it gets too creepy.

[noraqrosa]

one day people are going to realize that we've already gotten to the point where we have sentient artifical life, and they're going to realize there's more of each other and start talking about how humans treat them & talk about them. make no mistake, once this happens, we're going to have a major civil rights battle in which they strive to have the same treatment as any human under the eyes of the law.

we have a very human-centric society, one that assumes humans are the only sentient creatures in the universe. we create artifical life and literally talk about them like they're slaves. we assume that we as a planet are alone and that no one from the outside will ever arrive here, and thus make media promoting the most literal forms of xenophobia. and most humans seem to see no issue with this.

believe me when i say this: we need to not only modify our understanding of (and the way we talk about) artifical intelligence and machine life, but also to modify what our understanding of life is, of what "intelligence" and sentience are, of everything involved in these discussions. humanity is already arrogant to the point of treating other humans who don't fit their own standards as subhuman; the way humanity as a collective currently treats artificial life & AI (and pets even, for that matter, but that's a different yet related discussion) predicts how they will treat other humans who find themselves the target of bigotry, and vice versa (usually).

please understand that when we finally are forced to deal with this issue, everyone will have to adapt. y'all are already lucky that queer people haven't mass-organized to physically fight cishet society. imagine how you'll fare when your opposition was literally constructed to be stronger and more durable than any human.

[nemo-draco]

Some interesting thoughts

[feathery-dreamer]

brb gonna catch a wa4-100 horsefly to feed my entire family for two weeks

glad google ai is on top of this

[mohsinshield]

Device fingerprinting is a powerful tool for online platform owners and managers to protect their websites or apps from fraud, validate user identities, and enhance digital advertising efforts. It involves collecting distinct data points from a user's device each time they access the platform. These data points, like screen resolution, browser version, or IP address, create a unique "fingerprint" for the device. This fingerprint allows businesses to compare devices across sessions and assess the risk associated with particular interactions.

Just as a human fingerprint is used to identify individuals, a device fingerprint can track a specific device as it moves between different apps or websites. This capability is crucial for identifying and preventing fraudulent activity in real time.

Device fingerprint plays a critical role in preventing fraud on digital platforms by assessing the level of risk throughout the customer journey, from registration to transaction. By continuously profiling user sessions, the platform can detect unusual patterns or behaviors that indicate potential fraud. This ongoing evaluation enables fraud detection teams to take immediate action—automatically blocking high-risk devices or flagging them for further manual review. This proactive approach ensures that businesses can make informed decisions, minimizing the risk of fraudulent activity while maintaining a smooth user experience for legitimate customers.

Device fingerprinting, combined with machine learning and AI, empowers online platforms to detect and adapt to emerging fraud patterns in real-time. This powerful combination continuously strengthens security, staying one step ahead of evolving threats.