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#Work #ai
GenAI sinks into the 'trough of disillusionment'
GenAI sinks into the 'trough of disillusionment'
GenAI faces growing skepticism as it struggles to deliver on high expectations Early excitement for ChatGPT and LLMs has shifted to concerns about costs, p | GenAI faces growing skepticism as initial excitement wanes, with the industry now focusing on overcoming practical and ethical challenges.
“People believe it really can solve a lot of things that it can't. I mean, the unfortunate thing is that OpenAI was amazing. But it was useless. It can't really do anything.”
GenAI sinks into the 'trough of disillusionment'
From Burnout to Balance: AI-Enhanced Work Models for the Future
From Burnout to Balance: AI-Enhanced Work Models for the Future
Research from The Upwork Research Institute reveals that while leaders expect AI to boost productivity, it may be increasing employee workload.
Nearly half (47%) of employees using AI say they have no idea how to achieve the productivity gains their employers expect, and 77% say these tools have actually decreased their productivity and added to their workload.
By introducing new technology into outdated models and systems, organizations are failing to unlock the full productivity value of generative AI across their workforce
From Burnout to Balance: AI-Enhanced Work Models for the Future
AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?
AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?
The effort to give robots AI brains is revealing big practical challenges—and bigger ethical concerns
a physical robot arm and a virtual robot. In the virtual setting, ProgPrompt came up with plans the robot could basically execute almost all the time, and these plans succeeded at a much higher rate than any previous training system. Meanwhile the real robot, given
AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?