![](\"https:\/\/cointelegraph.com\/magazine\/wp-content\/uploads\/2023\/05\/magazine-AI-Eye-column-scaled.jpg\")
<\/p>\n– The popularity of ChatGPT is declining, with decreased Google searches and web traffic to OpenAI’s website.<\/p>\n
– Users of GPT-4 have noticed that the model seems less intelligent but faster, possibly due to OpenAI breaking it up into smaller models.<\/p>\n
– AI cannibalism is a potential factor in the decline of AI model quality. Synthetic data generated by AI is being used to train new models, leading to a negative feedback loop and decreased coherence and quality in the output.<\/p>\n
– OpenAI’s recent paper highlights the issue of Model Autophagy Disorder (MAD), where future generative models progressively decrease in quality and diversity without enough fresh real data.<\/p>\n
– Keeping humans in the loop and prioritizing human content for AI models could help address this issue.<\/p>\n
– Threads, a Twitter clone by Mark Zuckerberg, may be a strategy to generate more text-based content for Meta’s AI models.<\/p>\n
– Elon Musk has taken steps to prevent AI training on Twitter data in the future.<\/p>\n
– Hindu chatbots trained on religious texts have been giving controversial advice, highlighting the dangers of training AI on religious texts without proper context.<\/p>\n
– There are differing opinions on the risks and benefits of AI. Some believe that superintelligent AI could pose a threat to humanity, while others argue that the risks can be managed and that AI will bring massive benefits.<\/p>\n
– OpenAI’s GPT-4 has a new code interpreter that allows it to generate and run code on demand, opening up various use cases.<\/p>\n
– Other AI news includes AI’s high scores in creativity on standardized tests, copyright violation lawsuits against OpenAI and Meta, and the availability of Anthropic’s ChatGPT competitor Claude 2.<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/p>\n
The reason AIs will always need humans, religous chatbots urge death to infidels, and is Threads\u2019 real purpose to generate AI training data<\/p>\n","protected":false},"author":1,"featured_media":12095,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"Default","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[17],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/posts\/12094"}],"collection":[{"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/comments?post=12094"}],"version-history":[{"count":0,"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/posts\/12094\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/media\/12095"}],"wp:attachment":[{"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/media?parent=12094"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/categories?post=12094"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tokendices.com\/wp-json\/wp\/v2\/tags?post=12094"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}