Viewing large language models as compression machines helps explain why they seem at turns big-brained and pea-brained. To learn more, join me for Honey, AI Shrunk the Archive, an IEEE/UMaine AI webinar next Thursday 3 April at noon Eastern
Viewing large language models as compression machines helps explain why they seem at turns big-brained and pea-brained. To learn more, join me for Honey, AI Shrunk the Archive, an IEEE/UMaine AI webinar next Thursday 3 April at noon Eastern
I got tired of partisan apples-to-oranges arguments about AI energy and water use, so I boiled the research down to 9 takeaways. I used consistent units so you can compare a ChatGPT prompt to watching Netflix or searching Google.
AI can promote stereotypes even when its sources are fair and accurate. To see why, I prompted an image generator to recreate Renaissance classics that should be ubiquitous in training data. The model erased their quirks and fed back clichés https://blog.still-water.net/ai_old_masters
Looking for new ideas/perspectives on AI in education? The crowdsourced site "Learning With AI" lists 20 events this summer. Filter for topics that interest you or skim the Speakers bureau to learn about presenters or to plan a future event of your own.
What jobs are we preparing students for by boosting their writing productivity with AI? After shedding 40% of its workforce, the gaming site Gamurs posted an ad last June for an editor to write 250 articles per week. That’s a new article every 10 minutes, at $4.25 per article.
As @novomancy has noted, AI is only the accomplice here. This clickbait nightmare is the logical conclusion of the ad-supported web.
Preparing a summer or fall AI event? Learning With AI has a crowdsourced speakers bureau for AI in education, including brilliant presenters like @bali_maha
@amills @CyberneticForests @leaton01
and many more.
Filter by specialty and watch sample recordings of their talks at https://LearnWithAI.org
Know a good speaker who should be added to the bureau? DM me for a submission form!