According to Candy, the rise of AI would instead put a premium on soft skills like critical and creative thinking.
“Questioning, creativity skills, and innovation are going to be hugely important because I think AI’s going to free up more capacity for creative thought processes,” he told Fortune earlier.
It’s not just jobs in tech, though. Candy said that advances in AI image-generation technology could also affect those working in the arts.
Businesses must also ensure they are prepared for forthcoming regulations. President Biden signed an executive order to create AI safeguards, the U.K. hosted the world’s first AI Safety Summit, and the EU brought forward their own legislation. Governments across the globe are alive to the risks. C-suite leaders must be too — and that means their generative AI systems must adhere to current and future regulatory requirements.
So how do leaders balance the risks and rewards of generative AI?
Businesses that leverage three principles are poised to succeed: human-first decision-making, robust governance over large language model (LLM) content, and a universal connected AI approach. Making good choices now will allow leaders to future-proof their business and reap the benefits of AI while boosting the bottom line.
Integrating large language models (LLMs) into various scientific domains has notably reshaped research methodologies. Among these advancements, an innovative system named Coscientist has emerged, as outlined in the paper “Autonomous chemical research with large language models,” authored by researchers from Carnegie Mellon University and Emerald Cloud Lab. This groundbreaking system, powered by multiple LLMs, is a pivotal achievement in the convergence of language models and laboratory automation technologies.
Coscientist comprises several intricately designed modules, with its cornerstone being the ‘Planner.’ This module operates using a GPT-4 chat completion instance, functioning as an interactive assistant capable of understanding user commands such as ‘GOOGLE,’ ‘PYTHON,’ ‘DOCUMENTATION,’ and ‘EXPERIMENT.’ Additionally, the ‘Web Searcher’ module, fueled by GPT-4, significantly enhances synthesis planning. Notably, it has exhibited exceptional performance in trials involving acetaminophen, aspirin, nitroaniline, and phenolphthalein. The ‘Code execution’ module, triggered by the ‘PYTHON’ command, facilitates experiment preparation calculations. Meanwhile, the ‘Automation’ command, guided by the ‘DOCUMENTATION’ module, implements experiment automation via APIs.
The prowess of the GPT-4-powered Web Searcher module in synthesis planning is evident in its success across diverse trials, demonstrating a capacity for efficient exploration and decision-making in chemical synthesis. Furthermore, the documentation search module equips Coscientist with the ability to utilize tailored technical documentation efficiently, enhancing its API utilization accuracy and improving overall experiment automation performance.
New AI-generated digital replicas of real experts expose an unnerving policy gray zone. Washington wants to fix it, but it’s not clear how.
The Effective Accelerationism movement — a staunchly pro-AI ideology that has Silicon Valley split over how artificial intelligence should be regulated — appears to be walking a razor’s edge between being a techno-libertarian philosophy and a nihilistic, even reckless, approach to advancing one of…
Silicon Valley’s new ideological faction, called Effective Accelerationism or e/acc, is focused on the pursuit of AI development with no guardrails to slow its growth.
There has been a lot of publicity on generative AI “chat bot” innovations across North America; OpenAI’s ChatGPT4, Google’s Bard, and most recently AmazonQ are all at the competitive generative AI trough.
This blog highlights China’s ERNIE Bot, and other leading chat bots and provides insights on the generative AI chat bot market.
The firm developed vertical farming and integrated advanced robotics to handle tasks such as planting, harvesting, and ensuring efficient, automated processes.
A cutting-edge technology indoor vertical farm could transform food production. Plenty, a San Francisco-based company, curated a high-tech robot farm.
Vertical farming involves growing crops in stacked towers indoors while advanced robotics handle tasks from seed planting to harvesting, ensuring efficient, automated processes.
What’s so ‘high-tech’ about Plenty’s farm?
This indoor farm employs a precisely controlled environment, including custom LED lighting systems that mimic sunlight to optimize plant growth, flavor, and texture while minimizing energy consumption.
