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
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.”
LinkedIn accused of using private messages to train AI
https://www.bbc.com/news/articles/cdxevpzy3yko
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.
[NEW PAPER ALERT!] Our grantees
@A__W______O
new paper puts forward a vision for balancing the benefits and risks of #opensource #GenAI (funded by
@DigInfFund
). Drafted by NickBotton
& Mathias Vermeulen
- a short thread on #boundariesofopenness #digitalinfrastructure
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.
New Open at Intel Podcast! I spoke with Andrew Brown of Exam Pro about his free generative AI bootcamp for developers, #Deepseek, keeping up with AI development and its rapidly moving pace, and a lot more. Check it out!
Episode: https://openatintel.podbean.com/e/mastering-generative-ai/