The use of AI is expected to free up to 50% more time for employees to engage in creative problem-solving, driving customer-centric innovation and creating unprecedented business value. Large language models (LLMs) trained on text scraped from the internet, primarily in English, pose a challenge for exporting AI to poor countries. However, researchers are working to make AI more multilingual. AI is mentioned in a Forbes writeup, along with ServiceNow and SproutSocial, highlighting how it is improving work lives. The emergence of LLMs has forever changed the future of work, and there is a focus on building AI skills in teams. Orion-14B, a new open-source multilingual large language model trained on 2.5T tokens including Chinese, English, Japanese, and Korean, has been introduced. AI is seen as a potential solution to fill the gap in educated, healthy workers in developing economies, with the potential to boost growth. Mobile devices have transformed lives in the developing world, and AI is expected to bring similarly dramatic changes. From education to healthcare, AI has the potential to transform lives in developing countries, but it also poses risks. AI-based large language models have untapped potential and risks. Microsoft's new Future of Work Report focuses on how AI impacts every aspect of information work. The University of Washington has proposed Cross-lingual Expert Language Models (X-ELM) to overcome multilingual model limitations. Developing countries have an opportunity to shape AI to their own needs and use it to transform lives, potentially making whole populations healthier, better educated, and better informed. There is optimism that AI will give people 'bionic' powers and be a productivity boost without being a job destroyer. The AI revolution is expected to deliver large productivity benefits, leading to an increase in real incomes and spending, thus creating additional demand for workers.
"If we are right that the AI revolution will deliver large productivity benefits, then it should lead to an increase in real incomes and spending, therefore creating additional demand for workers." - @CapEconUS
I am becoming increasingly convinced that AI will give people “bionic” powers, and be a meaningful productivity boost - but not the job destroyer many fear. https://t.co/yhORkHOXBg
Enormous uncertainty remains about how much AI will help poor countries. But in the best-case scenario, it could help make whole populations healthier, better educated and better informed. In time, that could make them a lot less poor https://t.co/IsR2sj1lzg 👇
Emerging countries have suffered disappointments before. This time they have a wonderful opportunity—and the power to seize it. Developing countries could shape AI to their own needs, and use it to transform lives: https://t.co/ADmMMi0WfZ 👇
This AI Paper from the University of Washington Proposes Cross-lingual Expert Language Models (X-ELM): A New Frontier in Overcoming Multilingual Model Limitations Quick read: https://t.co/3PeiRGmmSG Paper: https://t.co/c91ca9gx4e #ArtificialIntelligence @TerraBlvns https://t.co/aE9lLXEDcS
AI-based Large Language Models may be useful… but there’s a lot of untapped potential and risks. Read our blog on Aun Hussain’s keynote for more: https://t.co/OvgDradx7w #AIInnovation #TechEthics #OpportunitiesInTech #ChatGPT #ArtificialIntelligence #AIBlog #FutureTech https://t.co/2dMw7pobLb
✨ @Microsoft's New Future of Work Report just dropped, and it's overwhelmingly focused on how AI impacts every aspect of information work. Adding some highlights below, but strongly recommend taking a look through the slides! https://t.co/572WFhjCX5 📓 TL;DR - information… https://t.co/iCI2iBCQ2N
From education to health care, AI has the potential to transform lives in developing countries. But it also poses risks: https://t.co/s8Jn5qXRYj 👇
Mobile devices have transformed lives throughout the developing world, especially as more of them are hooked up to the internet. Could AI bring similarly dramatic changes? There are three main reasons for optimism: https://t.co/P1X3yWTfRJ 👇
Developing economies have long been held back by a lack of educated, healthy workers. We argue that AI could help fill that gap, and boost growth while it’s at it: https://t.co/5sDqa3So0t 👇
Meet Orion-14B: A New Open-source Multilingual Large Language Model Trained on 2.5T Tokens Including Chinese, English, Japanese, and Korean Quick read: https://t.co/nxI4qi0JzT Paper: https://t.co/sgjkhabvxz Model: https://t.co/2inzzpmlAe #ArtificialIntelligence https://t.co/eADxtKHpc6
The future of work changed forever when LLMs burst onto the scene. Writing in Techspective, @anacondainc’s Chandler Vaughn shares advice on building AI skills in your team. Read the full piece here 🔗 https://t.co/uCKbbFb6md
Large language models are trained on text scraped from the internet, on which English is the primary language. That is a problem for those hoping to export AI to poor countries. Read how researchers are working to make AI more multilingual https://t.co/mlnU7tpWew 👇
Here's to a GREAT new year; one where use of #AI will free up to 50% more time for employees to engage in creative problem-solving, driving customer-centric innovation and creating unprecedented business value. YEP. Here's how: https://t.co/wwx9UmnQtU @Forrester #AItools
🎉 The Future of Work Just Got Super! 🎉 Excited to be mentioned in @Forbes along with @ServiceNow & @SproutSocial in this writeup all about how AI is improving our work lives. https://t.co/cKPrPSk04m