AI SparkupAI는 전문가 시험은 통과하는데, 유치원생 문제는 왜 못 풀까
전문가 시험은 통과하지만 유아 문제는 못 푸는 AI. verbalization bottleneck이 만드는 기본기 실패를 분석합니다.
Charles ShouldGoogle AI Overviews put people at risk of harm with misleading health advice
In one case that experts described as “really dangerous”, Google wrongly advised people with pancreatic cancer to avoid high-fat foods. Experts said this was the exact opposite of what should be recommended, and may increase the risk of patients dying from the disease.
#Google #AI #Health #GoogleAIOverview #OnlineDiagnostic
#Hallucinations
Lazarou Monkey Terror 🚀💙🌈Who will protect us from the Oligarchs and their exploitative technologies?
Can we sue them for harming us?
Bob CarverScammers are poisoning AI search results to steer you straight into their traps - here's how - ZDNet Charlie Osborne #AI #LLMs #AIBrowsers #GoogleAIOverview #PerplexityComet #Posioning #searchresults
AI 검색에서도 백링크가 통할까? 35,000개 데이터로 밝혀낸 4가지 진실
ChatGPT와 Perplexity 시대, 백링크는 여전히 효과가 있을까? 35,000개 데이터 분석으로 밝혀낸 AI 검색 최적화의 4가지 핵심 전략. nofollow 링크와 이미지 링크의 놀라운 효과를 확인하세요.
Denny VrandečićI love how smart these AI technologies are. They understand that "bigger" for cities can be ambiguous, refer to either the population or the area. It's also great that it's showing the sources in the upper corner, and displaying the basic facts.
Small minus on consistency and correctness, but other than that, really a great answer.
Christian B. SchmidtWas steckt hinter der "Immocation Betrugsmasche"? 🤔
Video in voller Länge: https://yt.openinapp.co/pednf
#immocation #immobiliengeschäft #immobilieninfluencer #creatoreconomy #influencermarketing #onlinemarketing #digitalmarketing #socialmediamarketing #googleaioverview #seodriven
Jon IppolitoBeyond just predicting words, LLMs interpolate meaning between data points, as in the recent phenomenon of AI explaining fake idioms like "you can’t lick a badger twice." The danger is that made-up "truths" will fuel future models
#AIethics #AIinEducation #AIliteracy #ChatGPT #LLM #GoogleAIOverview
#aiethics #aiineducation #ailiteracy #chatgpt #llm #googleaioverview | Jon Ippolito
“A loose dog won’t surf?” There’s a better explanation for AI making up meanings for nonsensical idioms than just saying LLMs are word-prediction algorithms. Observers have recently been poking fun at Google’s AI Overviews for inventing meanings of nonexistent idioms like “you can’t lick a badger twice” (https://lnkd.in/e4H42Yhj). But to call this just another case of word prediction gone wrong seems to me to underestimate the power (and danger) of today’s large language models. In an abstract sense, I do believe LLMs are generating meaning, even though many of these have no correspondence with reality. One of my favorite exercises to give students at the beginning of a lesson on AI is to ask a chatbot to find the relationship between two random concepts (https://lnkd.in/exEV39HK). Some of the connections will be pretty superficial (“Taylor Swift and the Big Bang are both explosive phenomena”) while others seem more clever (“A chupacabra can appear and disappear thanks to quantum entanglement”). But all of them demonstrate a capacity to find a concept lurking in the latent space between the words in the prompt. To illustrate this dynamic visually, one of my first slides in any AI presentation usually shows the map of a trail that doesn’t exist connecting two that do, reported by a woman who prompted ChatGPT for hiking options in New Mexico. By interpolating a false trail between two real trails. ChatGPT is looking at the space between data points in its training and constructing a way to connect them. AI's tendency to find “meaning at the midpoint” is a blessing and a curse. For creative tasks, it’s why you can get LLMs to summarize the US tax code in a limerick. But it’s also why you can get answers for what researchers call false-premise questions. The average of two facts isn’t necessarily a fact. As AI-interpolated meanings continue to pop up on the Internet, they will make their way into the next generation of training data. And that's only going to make invented meanings more prevalent in the output of future models. #AIethics #AIinEducation #AIliteracy #ChatGPT #LLM #GoogleAIOverview
Misinformation-SuperhighwaymanWTF is Google doing now with its AI bullshit?!
Every search result for me now has a box of AI-generated garbage in the top position. Often it's wrong. Sometimes, it's directly contradicted by the second result.
To make matters worse, Google really, really, really doesn't want you to switch it off.
- Their online help on the topic is impenetrable, seemingly by design. Some links don't load.
- Posts by users on the official support/feedback page get a glib automated response and then locked so other people can't comment.
- Google's Help Centre says that you can access this ✨amazing✨ new feature only if you've signed-up for it (nope!)
- Their recommended process to switch it off relies on controls that aren't visible.
- If you go directly to the Search Labs website, it says you can't use it.
In the meantime, I've configured my adblocker plugins to block it.
And, I've tried "UDM=14" setting in the hope that it works. More info here: https://arstechnica.com/gadgets/2024/05/google-searchs-udm14-trick-lets-you-kill-ai-search-for-good/
#AI #Google #GoogleSearch #SearchLabs #GoogleSearchLabs #AIOverview #GoogleAIOverview
Tech ChilliDifference Between Apple Intelligence and Google AI Overview.
#AppleIntelligence #GoogleAIOverview #GenerativeAI #TechComparison #AI #Innovation #Apple #Google #TechEcosystem #AIUseCases
