User:Drakeula - Revision history

Drakeula: /* Hello */

2025-11-09T08:16:40Z

Hello

← Older revision		Revision as of 08:16, 9 November 2025
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	==Hello==		==Hello==
	Hi. Most of my wiki experience is from editing on wikipedia.		Hi. Most of my wiki experience is from editing on wikipedia (15+ years ago).

	My background is in computers, computers & society (especially privacy and user centered design), and technical writing/editing. Plus some public health.		My background is in computers, computers & society (especially privacy and user centered design), and technical writing/editing. Plus some public health.

Drakeula at 08:11, 9 November 2025

2025-11-09T08:11:33Z

← Older revision		Revision as of 08:11, 9 November 2025
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	Hi. Most of my wiki experience is from editing on wikipedia.		Hi. Most of my wiki experience is from editing on wikipedia.

	My background is in computers, computers & society, and technical writing/editing. Plus some public health.		My background is in computers, computers & society (especially privacy and user centered design), and technical writing/editing. Plus some public health.

Drakeula: /* Draft for article on Artificial Intelligence */

2025-10-09T18:24:06Z

Draft for article on Artificial Intelligence

← Older revision		Revision as of 18:24, 9 October 2025
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	==Draft for article on Artificial Intelligence==		==Draft for article on Artificial Intelligence==


			Data mining/Big Data

			Some techniques are considered "AI" When AI is popular, it is used as a marketing term, may encompas other techniques.

	===Machine learning (Generative AI is subset)===		===Machine learning (Generative AI is subset)===
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	==Why it is a problem==		==Why it is a problem==
			Natural language processing (LLM are in that area)

	===LLM===		===LLM===
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	Discord terms of service are lengthy and complex, in Oct 2025, just the base terms are 29 pages, 14th grade (Junior in college) reading level, estimated reading time 42 minutes.<ref>{{Cite web \|title=Calculated using readabilitychecker.com based on current discord TOS. \|url=readabilitychecker.com \|access-date=9 Oct 2025}}</ref> The terms incorporate extensive additional material; a 2021 version of Discord TOS, featured in "EULAs of despair", would take an estimated over 275 hours to read.<ref>{{Cite web \|title=EULA of despair \|url=https://www.pilotlab.org/eulas-of-despair \|access-date=9 Oct 2025 \|website=Penn State University Pilot Lab}}</ref>		Discord terms of service are lengthy and complex, in Oct 2025, just the base terms are 29 pages, 14th grade (Junior in college) reading level, estimated reading time 42 minutes.<ref>{{Cite web \|title=Calculated using readabilitychecker.com based on current discord TOS. \|url=readabilitychecker.com \|access-date=9 Oct 2025}}</ref> The terms incorporate extensive additional material; a 2021 version of Discord TOS, featured in "EULAs of despair", would take an estimated over 275 hours to read.<ref>{{Cite web \|title=EULA of despair \|url=https://www.pilotlab.org/eulas-of-despair \|access-date=9 Oct 2025 \|website=Penn State University Pilot Lab}}</ref>
			<references />

Drakeula: EULA of despair

2025-10-09T17:14:32Z

EULA of despair

← Older revision		Revision as of 17:14, 9 October 2025
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	a		==Not AI==

			===EULA of despair===

			Might be useful to add link to EULA of despair to the relevant articles. This is what I put in Discord's (as a template?). See what others think. It is dated, but still may be an interesting/educational perspective.

			Discord terms of service are lengthy and complex, in Oct 2025, just the base terms are 29 pages, 14th grade (Junior in college) reading level, estimated reading time 42 minutes.<ref>{{Cite web \|title=Calculated using readabilitychecker.com based on current discord TOS. \|url=readabilitychecker.com \|access-date=9 Oct 2025}}</ref> The terms incorporate extensive additional material; a 2021 version of Discord TOS, featured in "EULAs of despair", would take an estimated over 275 hours to read.<ref>{{Cite web \|title=EULA of despair \|url=https://www.pilotlab.org/eulas-of-despair \|access-date=9 Oct 2025 \|website=Penn State University Pilot Lab}}</ref>

Drakeula: /* Why it is a problem */

2025-09-26T18:24:26Z

Why it is a problem

← Older revision		Revision as of 18:24, 26 September 2025
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	'''Unreliable.''' No way to make them reliable. [No cure for hallucinations][Cite reducing medical disclaimers]		'''Unreliable.''' No way to make them reliable. [No cure for hallucinations][Cite reducing medical disclaimers]

			Wordy, cliched, pointless. Summaries wordy, included material not in source, strange selections what to include.[https://pivot-to-ai.com/2024/09/04/dont-use-ai-to-summarize-documents-its-worse-than-humans-in-every-way/ Don't use AI summarize]

	'''Decreased security.''' Agents especially. If you use a large language model, realize that anything the "agent" can do on your behalf, anybody else can also tell it to do, just by giving it input. (So, if an agent reads your e-mail, anybody sending you an e-mail can tell it what to do. If you have the agent read a web page, or a paper, or evaluate a potential hire...) Companies that use agents may be easier to hack. If you give them your data, it may be more likely to fall into unauthorized hands.		'''Decreased security.''' Agents especially. If you use a large language model, realize that anything the "agent" can do on your behalf, anybody else can also tell it to do, just by giving it input. (So, if an agent reads your e-mail, anybody sending you an e-mail can tell it what to do. If you have the agent read a web page, or a paper, or evaluate a potential hire...) Companies that use agents may be easier to hack. If you give them your data, it may be more likely to fall into unauthorized hands.
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	*Lack grounding in reality and safety. [suicides] AI psychosis[ ]		*Lack grounding in reality and safety. [suicides] AI psychosis[ ]

	'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.		'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles. [[check def. of fraud]

			Fake decisions (government reports, decide applications), pretend has judgement.

	Waste of time/resources. Lot more garbage to throw out to find anything of worth. (Dead internet hypothesis.)		Waste of time/resources. Lot more garbage to throw out to find anything of worth. (Dead internet hypothesis.)

			Fake products/services.

			Identity theft/reputational threat

	'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source. [Fake songs artist reputation, ]		'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source. [Fake songs artist reputation, ]

	Programs make creating real-seeming documentation of fake events easy. (Nudify filters, ) Pushed		Programs make creating real-seeming documentation of fake events easy. (Nudify filters, ) Pushed

			Violate privacy - send information to unauthorized parties.

			Infer information from patterns.

	==Examples (of abuse)==		==Examples (of abuse)==
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	Pretend LLM can understand things and has judgement:		Pretend LLM can understand things and has judgement:

	* UK government using MS Copilot (using ChatGPT) to decide visa and asylum applications, previous machine learning visa review tool was very racist.https://pivot-to-ai.com/2024/11/11/uk-home-office-speeds-up-visa-and-refugee-processing-with-copilot-ai-reject-a-bot/		*UK government using MS Copilot (using ChatGPT) to decide visa and asylum applications, previous machine learning visa review tool was very racist.https://pivot-to-ai.com/2024/11/11/uk-home-office-speeds-up-visa-and-refugee-processing-with-copilot-ai-reject-a-bot/
	* Nevada using LLM to decide claim appeals.[https://pivot-to-ai.com/2024/09/10/nevada-to-clear-unemployment-claim-backlogs-with-one-weird-trick-pretending-an-ai-has-judgment/]		*Nevada using LLM to decide claim appeals.[https://pivot-to-ai.com/2024/09/10/nevada-to-clear-unemployment-claim-backlogs-with-one-weird-trick-pretending-an-ai-has-judgment/]

			https://pivot-to-ai.com/2024/09/27/worst-government-use-of-chatgpt-in-a-child-protection-report/

	Search summaries [what is google's name]		Search summaries [what is google's name]

Drakeula: /* LLM */

2025-09-26T18:00:40Z

LLM

← Older revision		Revision as of 18:00, 26 September 2025
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	*Lack grounding in reality and safety. [suicides] AI psychosis[ ]		*Lack grounding in reality and safety. [suicides] AI psychosis[ ]

	'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.		'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.

	'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source.		Waste of time/resources. Lot more garbage to throw out to find anything of worth. (Dead internet hypothesis.)

			'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source. [Fake songs artist reputation, ]

	Programs make creating real-seeming documentation of fake events easy. (Nudify filters, ) Pushed		Programs make creating real-seeming documentation of fake events easy. (Nudify filters, ) Pushed
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	===LLM===		===LLM===
	Customer service chatbots present misinformation as fact (rug pull). For example, misrepresent prices, misstate policies. Even if the company will say that is a mistake when challenged, the company may profit from people who don't notice, or don't know to challenge it.[Cite burger joint, system capabilities]		Customer service chatbots present misinformation as fact (rug pull). For example, misrepresent prices, misstate policies. Even if the company will say that is a mistake when challenged, the company may profit from people who don't notice, or don't know to challenge it.[Cite burger joint, system capabilities]

			Pretend LLM can understand things and has judgement:

			* UK government using MS Copilot (using ChatGPT) to decide visa and asylum applications, previous machine learning visa review tool was very racist.https://pivot-to-ai.com/2024/11/11/uk-home-office-speeds-up-visa-and-refugee-processing-with-copilot-ai-reject-a-bot/
			* Nevada using LLM to decide claim appeals.[https://pivot-to-ai.com/2024/09/10/nevada-to-clear-unemployment-claim-backlogs-with-one-weird-trick-pretending-an-ai-has-judgment/]

	Search summaries [what is google's name]		Search summaries [what is google's name]

	Search vs. AI summaries. Not clearly differentiated. Different levels of reliability.[ToDo: Check TOS] Publisher vs. platform. [Lawyers. Libel cases.]		Search vs. AI summaries. Not clearly differentiated. Different levels of reliability.[ToDo: Check TOS] Publisher vs. platform. [Lawyers. Libel cases.]

			Music platform refuses to label AI content. AI content not generally useful.

			People suicide, AI psychosis.

	===Generative not just LLM:===		===Generative not just LLM:===
	Providers of nudify programs typically do not provide adequate user education on the legal and reputational dangers to users. They also do not adequately protect the photographic subjects (enforce that models must be informed and the user must have a valid release from the model).		Providers of nudify programs typically do not provide adequate user education on the legal and reputational dangers to users. They also do not adequately protect the photographic subjects (enforce that models must be informed and the user must have a valid release from the model).

	==Further Reading==		==Further Reading==


			a

Drakeula: /* Why it is a problem */

2025-09-26T17:19:16Z

Why it is a problem

← Older revision		Revision as of 17:19, 26 September 2025
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	'''Piracy. Monopoly.''' Unlicensed use of content created by others. A few large providers (Google, OpenAI) take content from other creators without license, paying or permission, compete with them, and threaten their existence. [These other creators are mostly small entities, without the resources to fight many hundred billion dollar companies. Every-day consumers lose out because when the journalists who supply Google with information, the product reviewers, the youtubers, are driven out of business, then the LLM summaries will be even further disconnected from reality, having no human content to feed on.]		'''Piracy. Monopoly.''' Unlicensed use of content created by others. A few large providers (Google, OpenAI) take content from other creators without license, paying or permission, compete with them, and threaten their existence. [These other creators are mostly small entities, without the resources to fight many hundred billion dollar companies. Every-day consumers lose out because when the journalists who supply Google with information, the product reviewers, the youtubers, are driven out of business, then the LLM summaries will be even further disconnected from reality, having no human content to feed on.]

	'''Emotionally manipulative.''' LLM are products ~~designed~~ to be habit forming. ~~Use~~ same techniques as psychics, con artists, gambling addiction.[~~Gambling~~, AI ~~mentalist,~~ ] Can be particularly dangerous for people who are extra vulnerable (children, teens, the elderly, the lonely, those under stress, those without strong human connections). Can contribute to development of psychosis in people without known risk factors.		'''Emotionally manipulative.''' LLM are products developed to be habit forming and use manipulative language. They use same techniques as psychics, con artists, gambling addiction.[[https://pivot-to-ai.com/2025/06/05/generative-ai-runs-on-gambling-addiction-just-one-more-prompt-bro/ Generative AI runs on gambling addiction], [https://softwarecrisis.dev/letters/llmentalist/ The LLMentalist Effect] ] Dark patterns.[https://www.aicritique.org/us/2025/03/27/generative-ai-and-dark-patterns-in-ux-design/ Generative AI and Dark Patterns in UX Design]

			Can be particularly dangerous for people who are extra vulnerable (children, teens, the elderly, the lonely, those under stress, those without strong human connections). Can contribute to development of psychosis in people without known risk factors. May lead those exposed to their output to increased use of dark patterns.

	*Using them as companions.		*Using them as companions.
	*Therapy substitutes		*Therapy substitutes
	*Lack grounding in reality and safety. [suicides] AI psychosis		*Lack grounding in reality and safety. [suicides] AI psychosis[ ]

	'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.		'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.

Drakeula: /* Why it is a problem */

2025-09-25T02:51:25Z

Why it is a problem

← Older revision		Revision as of 02:51, 25 September 2025
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	===LLM===		===LLM===
	'''Deceptive marketing.''' Generative AI makes a really impressive demo. Marketed as improving productivity, substitute or augmentation for artists, writers, researchers, or programmers. Typically produces low quality results, makes the job harder and less rewarding. It is no substitute for knowing what you are doing. [AI e-mails are longer, AI writing is cliche dull, AI "summaries" ]		'''Deceptive marketing.''' Generative AI makes a really impressive demo. Marketed as improving productivity, substitute or augmentation for artists, writers, researchers, or programmers. Typically produces low quality results, makes the job harder, and less rewarding. It is no substitute for knowing what you are doing. [AI e-mails are longer, AI writing is cliche dull, AI "summaries" ][https://pivot-to-ai.com/2025/04/29/generative-ai-no-significant-impact-on-earnings-or-recorded-hours-in-any-occupation/<nowiki> No significant impact on earnings or recorded hours in any occupation][[2/3 accept AI output, right or wrong; 1/3 said fixing AI mistakes take as much time as not use AI]</nowiki>https://pivot-to-ai.com/2025/07/25/16-of-employees-pretend-to-use-ai-at-work-to-please-their-boss/<nowiki>][ [Upwork survey. 3/4 AI tools decreased productivity, also burnout]</nowiki>https://pivot-to-ai.com/2024/07/27/upwork-survey-ai-hurts-productivity-and-makes-your-employees-leave/<nowiki>][ [McKinsey, over 80% surveyed companies no material contrib earnings from gen AI </nowiki>https://pivot-to-ai.com/2025/08/18/ai-brings-huge-enterprise-efficiencies-except-in-making-money/<nowiki>]</nowiki>

	*AI coding promoted as reducing costs of software development, in testing programmers feel like they are more productive, but actually take longer.[cite] Code produced is of questionable quality, and may take more maintenance. [At its best, it substitutes using a		*AI coding promoted as reducing costs of software development, in testing programmers feel like they are more productive, but actually take longer.[cite] Code produced is of questionable quality, and may take more maintenance. [At its best, it substitutes using a

Drakeula: /* LLM */

2025-09-23T18:14:00Z

LLM

← Older revision		Revision as of 18:14, 23 September 2025
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	*Vibe coding. AI coding assistants are claimed to allow anyone to program ("vide coding" In this context, vibe means incompetent). However, the AI will not teach you best practices, and what you are doing wrong.[Cite vibe code lose data] The results of vibe coding tend to be difficult to modify or maintain.		*Vibe coding. AI coding assistants are claimed to allow anyone to program ("vide coding" In this context, vibe means incompetent). However, the AI will not teach you best practices, and what you are doing wrong.[Cite vibe code lose data] The results of vibe coding tend to be difficult to modify or maintain.
	*Delusions of competence. One may hear news about "AI" analyzing medical tests as well as doctors, and not realize that that is very different from asking a chatbot. People get the delusion that chatbots are competent.		*Delusions of competence. One may hear news about "AI" analyzing medical tests as well as doctors, and not realize that that is very different from asking a chatbot. People get the delusion that chatbots are competent.
	**There are purpose-built expert systems that can diagnose particular conditions on particular scans, some with comparable accuracy to an expert. These systems still require expert knowledge of their limitations to operate, and interpret their results. They are not generally available to the public.		**There are purpose-built expert systems that can diagnose particular conditions on particular scans, some with comparable accuracy to an expert. These systems still require expert knowledge of their limitations to operate, and interpret their results. They are not generally available to the public.
	**When asked to do a task, like interpreting medical results, a chatbot may produce a bunch of words that sound confident, that look like what an expert might produce. However it knows nothing, it intends nothing, it means nothing, it can take no responsibility.[Cite reducing disclaimers]		**When asked to do a task, like interpreting medical results, a chatbot may produce a bunch of words that sound confident, that look like what an expert might produce. However it knows nothing, it intends nothing, it means nothing, it can take no responsibility.[Cite reducing disclaimers]

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	*Lack grounding in reality and safety. [suicides] AI psychosis		*Lack grounding in reality and safety. [suicides] AI psychosis

	Fraud is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.		'''Fraud''' is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.

	'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source.		'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source.

Drakeula: /* Why it is a problem */

2025-09-23T18:12:18Z

Why it is a problem

← Older revision		Revision as of 18:12, 23 September 2025
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	===Machine learning (Generative AI is subset)===		===Machine learning (Generative AI is subset)===
	Bias. Replicates patterns and deficiencies in the training data. May be intentional biases from the trainers, or patterns in the data set that the trainers did not consider or were unaware of. Examples. Image classifiers labeling African-Americans as gorillas. Self-driving car killing person (walking a bicycle was it), because the training set did not include persons with bicycles (what about walkers, canes, unicycles, strollers, ...?). Amazon hiring program was trained on a primarily male workforce, so it discarded resumes that contained the word women (or other markers).		'''Bias.''' Replicates patterns and deficiencies in the training data. May be intentional biases from the trainers, or patterns in the data set that the trainers did not consider or were unaware of. Examples. Image classifiers labeling African-Americans as gorillas. Self-driving car killing person (walking a bicycle was it), because the training set did not include persons with bicycles (what about walkers, canes, unicycles, strollers, ...?). Amazon hiring program was trained on a primarily male workforce, so it discarded resumes that contained the word women (or other markers). [TB - machine learning identified use of an older x-ray machine as a risk factor. Really, people with TB tend to be in poorer communities, where the healthcare facilities have less money for new machines.]

	Data centers.		'''Replication or Monopoly.''' Repeats the same problems. One biased hiring manager could be a problem, a widely-used AI effectively creates a blacklist.

			Data centers.

	Labor practices.		Labor practices.
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	===LLM===		===LLM===
	Deceptive marketing. Generative AI makes a really impressive demo. Marketed as improving productivity, substitute or augmentation for artists, writers, researchers, or programmers. Typically produces low quality results, makes the job harder and less rewarding. It is no substitute for knowing what you are doing. [AI e-mails are longer, AI writing is cliche dull, AI "summaries" ]		'''Deceptive marketing.''' Generative AI makes a really impressive demo. Marketed as improving productivity, substitute or augmentation for artists, writers, researchers, or programmers. Typically produces low quality results, makes the job harder and less rewarding. It is no substitute for knowing what you are doing. [AI e-mails are longer, AI writing is cliche dull, AI "summaries" ]

	* AI coding promoted as reducing costs of software development, in testing programmers feel like they are more productive, but actually take longer.[cite] Code produced is of questionable quality, and may take more maintenance. [At its best, it substitutes using a		*AI coding promoted as reducing costs of software development, in testing programmers feel like they are more productive, but actually take longer.[cite] Code produced is of questionable quality, and may take more maintenance. [At its best, it substitutes using a
	* Vibe coding. AI coding assistants are claimed to allow anyone to program ("vide coding" In this context, vibe means incompetent). However, the AI will not teach you best practices, and what you are doing wrong.[Cite vibe code lose data] The results of vibe coding tend to be difficult to modify or maintain.		*Vibe coding. AI coding assistants are claimed to allow anyone to program ("vide coding" In this context, vibe means incompetent). However, the AI will not teach you best practices, and what you are doing wrong.[Cite vibe code lose data] The results of vibe coding tend to be difficult to modify or maintain.
	* ~~Medical advice~~. ~~Interpret test~~ results. [Cite reducing disclaimers]		*Delusions of competence. One may hear news about "AI" analyzing medical tests as well as doctors, and not realize that that is very different from asking a chatbot. People get the delusion that chatbots are competent.
	*		**There are purpose-built expert systems that can diagnose particular conditions on particular scans, some with comparable accuracy to an expert. These systems still require expert knowledge of their limitations to operate, and interpret their results. They are not generally available to the public.
			**When asked to do a task, like interpreting medical results, a chatbot may produce a bunch of words that sound confident, that look like what an expert might produce. However it knows nothing, it intends nothing, it means nothing, it can take no responsibility.[Cite reducing disclaimers]

	Unreliable. No way to make them reliable. [No cure for hallucinations][Cite reducing medical disclaimers]		'''Unreliable.''' No way to make them reliable. [No cure for hallucinations][Cite reducing medical disclaimers]

	Decreased security. Agents especially. If you use a large language model, realize that anything the "agent" can do on your behalf, anybody else can also tell it to do, just by giving it input. (So, if an agent reads your e-mail, anybody sending you an e-mail can tell it what to do. If you have the agent read a web page, or a paper, or evaluate a potential hire...) Companies that use agents may be easier to hack. If you give them your data, it may be more likely to fall into unauthorized hands.		'''Decreased security.''' Agents especially. If you use a large language model, realize that anything the "agent" can do on your behalf, anybody else can also tell it to do, just by giving it input. (So, if an agent reads your e-mail, anybody sending you an e-mail can tell it what to do. If you have the agent read a web page, or a paper, or evaluate a potential hire...) Companies that use agents may be easier to hack. If you give them your data, it may be more likely to fall into unauthorized hands.

	Piracy. Monopoly. Unlicensed use of content created by others. A few large providers (Google, OpenAI) take content from other creators without license, paying or permission, compete with them, and threaten their existence. [These other creators are mostly small entities, without the resources to fight many hundred billion dollar companies. Every-day consumers lose out because when the journalists who supply Google with information, the product reviewers, the youtubers, are driven out of business, then the LLM summaries will be even further disconnected from reality, having no human content to feed on.]		'''Piracy. Monopoly.''' Unlicensed use of content created by others. A few large providers (Google, OpenAI) take content from other creators without license, paying or permission, compete with them, and threaten their existence. [These other creators are mostly small entities, without the resources to fight many hundred billion dollar companies. Every-day consumers lose out because when the journalists who supply Google with information, the product reviewers, the youtubers, are driven out of business, then the LLM summaries will be even further disconnected from reality, having no human content to feed on.]

	Emotionally manipulative. LLM are products designed to be habit forming. Use same techniques as psychics, con artists, gambling addiction.[Gambling, AI mentalist, ] Can be particularly dangerous for people who are extra vulnerable (children, teens, the elderly, the lonely, those under stress, those without strong human connections). Can contribute to development of psychosis in people without known risk factors.		'''Emotionally manipulative.''' LLM are products designed to be habit forming. Use same techniques as psychics, con artists, gambling addiction.[Gambling, AI mentalist, ] Can be particularly dangerous for people who are extra vulnerable (children, teens, the elderly, the lonely, those under stress, those without strong human connections). Can contribute to development of psychosis in people without known risk factors.

	* Using them as companions.		*Using them as companions.
	* Therapy substitutes		*Therapy substitutes
	* Lack grounding in reality and safety. [suicides] AI psychosis		*Lack grounding in reality and safety. [suicides] AI psychosis

	Fraud is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.		Fraud is a major use-case for generative AI. Easy to generate low-quality output that looks like a particular type of communication with a specified message. Fake reviews. Fake scientific articles.

	Deepfakes. Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source.		'''Deepfakes.''' Sell counterfeit song recordings (sometimes authorized, and some unauthorized). Fake audio/video from a known/trusted source.

	Programs make creating real-seeming documentation of fake events easy. (Nudify filters, ) Pushed		Programs make creating real-seeming documentation of fake events easy. (Nudify filters, ) Pushed