#MissKittyWide
#Mind #technology. If
#Infinity, then space is your home. And since the body disappears and most people believe that they continue, then you are space.
#Space is
#Spirit. Ultimate
#consciousness. You're not away. You're
#hallucinating. Kids playing in a sandbox.
I'm not dissociating.
#Palantir Demos Show How the #Military Could Use #AI #Chatbots to Generate #War Plans
Software demos and #Pentagon records detail how chatbots like #Anthropic ’s Claude could help the Pentagon analyze intelligence and suggest next steps.
#ai #artificialintelligence
> just what we need. A #hallucinating AI planning a war battle.
https://www.wired.com/story/palantir-demos-show-how-the-military-can-use-ai-chatbots-to-generate-war-plans/
Palantir Demos Show How the Military Could Use AI Chatbots to Generate War Plans
Software demos and Pentagon records detail how chatbots like Anthropic’s Claude could help the Pentagon analyze intelligence and suggest next steps.
🧵 1/3: asking #AI why it keeps #hallucinating (while being quietly terrified some humans will copy/paste and never #verify )
I was doing some research on #French #rap, and #Gemini hallucinated 3 times in a row, in what is called "Pattern Overload" (The "Association" Trap).
Hallucinations: What Causes Them?
Hallucinations are often frightening and are caused by mental and general medical illnesses. What are those illnesses? Are hallucinations ever normal?
According to researchers at University of #Glasgow, #LLMs are not #hallucinating. The technical term is #bullshitting.
"Calling their mistakes ‘hallucinations’ lends itself to the confusion that the machines are in some way misperceiving but are nonetheless trying to convey something that they believe or have perceived. This is the wrong metaphor.... they are not trying to convey information at all. They are bullshitting."
https://link.springer.com/article/10.1007/s10676-024-09775-5
#LLM #ChatGPT #OpenAI #Claude #LLama #AI
ChatGPT is bullshit - Ethics and Information Technology
Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.
Classic … #ChatGPT #hallucinating again. 🙃
A working solution is using ANSI escape codes.
\e[7m inverted text here \e[27m
@shanselman and Mark Russinovich learn responsible
#AI. If there is one recorded
#MSIgnite session you want to see, it is this one. Learn about limitations and threats through live demos like
#jailbraking,
#promptinjection,
#reasoning,
#hallucinating,
#kindness, and how to prepare for them.
https://ignite.microsoft.com/en-US/sessions/BRK329 
Scott and Mark learn responsible AI
Join Mark Russinovich & Scott Hanselman to explore the landscape of generative AI security, focusing on large language models. They cover the three primary risks in LLMs: Hallucination, indirect prompt injection and jailbreaks (or direct prompt injection). We'll explore each of these three key risks in depth, examining their origins, potential impacts, and strategies for mitigation and how to work towards harnessing the immense potential of LLMs while responsibly managing their inherent risks.
https://techround.co.uk/news/oxfords-computer-science-ai-hallucinates/
An interesting identification has been made at #Oxford University. They have developed an #algorithm that lets you identify when an AI is "hallucinating".
Dr. Sebastian Farquhar, a co-author of the study, explains, “We’re essentially asking the #AI the same question multiple times and observing the #consistency of the answers. A high #variation suggests the AI might be #hallucinating.”
This method is focusing on what they call ‘semantic entropy’.
Oxford’s Computer Science Researchers Can Now Tell When AI Hallucinates
An interesting identification has been made at Oxford University. They have developed an algorithm that lets you identify when an AI is hallucinating. An AI hallucination is when AI models such as Gemini and ChatGPT
Miss Kitty 🌈🌈🌈
PrivacyDigest
sheislaurence
unexplainedie
Steve Dustcircle 🌹
Strange Quark
𝘋𝘪𝘳𝘬
Pieter de Bruin 🌍🌈☮️
Mix Mistress Alice💄
ExcelAnalytics