I'd love to hear more opinions on generative AI from people who aren't confident writers
I feel like most of the commentary I see is from people who write with confidence - almost by definition, since writing confidently is an important prerequisite for widely broadcasting your opinions on things
@simon Generative Pre-trained Transformers #GPT and Large Language Models #LLM are useful tools, especially for those who are not, or no longer consider themselves, confident writers. I like open source tools, such eg from @huggingface that are transparent about their training sets and models — with the hope of understanding the biases and dangers of the tool. I don’t like calling any of these advanced computational statistics and machine learning #ML tools as “artificial intelligence” #AI
"AI-generated books on Amazon are only the tip of the iceberg, with other #AI content flooding the rest of the internet with dubiously sourced material as well, which could easily trigger a pandemic of #misinformation.
Worse yet, these misleading signals could end up triggering a feedback loop, with AI text generators regurgitating each other's content."
In 1923, a cartoonist imagined that in 2023, an electric machine would generate ideas and draw them as cartoons automatically. With your Idea Dynamo linked up to your Cartoon Dynamo and an adequate supply of ink, this machine would create "hilarious" (?) cartoons like 'How to Torture Your Wife'. 🙄
I'm probably late to the party on this, but I just saw it linked somewhere today (lost the reference) and just watched it tonight. These guys really know how to explain things to non-technical people. It's really worth watching, but you need to set aside an hour!
I had a vague layman's uneasiness about #AI until now...
Revolutionizing healthcare through machine learning—but at what cost? Concerns arise over the impact on the autonomy of elderly and disabled people. #HealthTech#Ethics#Healthcare#AI#MachineLearning
“We live under capitalism, and under that system, the effects of flooding the market with technologies that can plausibly perform the economic tasks of countless working people is not that those people are suddenly free to become philosophers and artists. It means that those people will find themselves staring into the abyss – with actual artists among the first to fall.” #NaomiKlein on generative #AI, very much worth reading
Researchers pored over satellite imagery to create one of the most comprehensive data sets on the global mining footprint ever generated.
The data set maps out in fine detail the boundaries of a combined 65,585 km2 (25,323 mi2) of mining sites across the world.
Nearly 10% of the total mining areas mapped in the study fell inside protected areas like national parks, Ramsar wetlands and UNESCO World Heritage Sites.
"By including a finer analysis of mining-related land use...he hopes the data set will help train image-recognition tools in how to automatically spot and analyze #mining sites from #satellite imagery in the future.
For...analysts looking to determine the #ecological + social impacts of mines in specific regions, the level of spatial detail included in the study could be a 👉breakthrough👈...
#AI at the Crossroads: Navigating Job Displacement, Ethical Concerns, and the Future of Work AI At The Crossroads: Navigating Job Displacement, Ethical Concerns, And The Future Of Work @Forbes