I feel like people have been sold the idea that #GenerativeAI must provide productivity gains, and many don't bother to examine whether it really does.
#AI #GenAI #hype
What if "42" is just the hallucination of an LLM from the future? 🤔
So... probably a cold take here... but IF we have to use Generative AI, I think I prefer it in the raw conversational form rather than the produced content form.
Example:
A chat bot that lets you ask questions about an article written by a human is preferable to an article that was produced by an AI completely.
I also think bespoke training data for an AI system in general is a good idea, it is much more ethical.
Iain Banks perfectly explained #GenerativeAI twenty years ago.
Everyone should read this passage.
Quotes from "The Algebraist"
这两天我是小刀捅屁股——开了眼了,可能对于熟练运用AI工具的象友不是新鲜事了吧,我之前只用chatgpt进行一些常识性的问答对话,但这两天我学会了:
- 用perplexity AI搜索资料
- 把pdf喂给NotebookLM并生成播客音频
- 把音频喂给otter.ai转化成可以逐字播放的文本
还有什么好用的工具也请象友多多推荐!
#长毛象安利大会 #长毛象安利交换大会 #长毛象安利中心 #generativeAI #AI #perplexity #notebooklm
Anthropic, the company that made one of the most popular AI writing assistants in the world, requires job applicants to agree that they won’t use an AI assistant to help write their application.
“We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree.”
Has anyone put together an article that lists all the different walkthroughs for disabling AI in various programs/services?
Something like this: https://stefanbohacek.com/blog/opting-out-of-ai-in-popular-software-and-services/
Abstract: This paper will look at the various predictions that have been made about AI and propose decomposition schemas for analyzing them. It will propose a variety of theoretical tools for analyzing, judging, and improving these predictions. Focusing specifically on timeline predictions (dates given by which we should expect the creation of AI), it will show that there are strong theoretical grounds to expect predictions to be quite poor in this area. Using a database of 95 AI timeline predictions, it will show that these expectations are borne out in practice: expert predictions contradict each other considerably, and are indistinguishable from non-expert predictions and past failed predictions. Predictions that AI lie 15 to 25 years in the future are the most common, from experts and non-experts alike.
DeepSeek launched a free, open-source large-language model in late December, claiming it was developed in just two months at a cost of under $6 million — a much smaller expense than the one called for by Western counterparts.
These developments have stoked concerns about the amount of money big tech companies have been investing in AI models and data centers, and raised alarm that the U.S. is not leading the sector as much as previously believed.
Resistance to the coup is the defense of the human against the digital and the democratic against the oligarchic.
Some argue that ai technology is more significant than electricity or the internet, and so it will spread fast. But there is little sign of this. Only 5-6% of American businesses said they used ai to produce goods and services in 2024, according to the country’s Census Bureau.