weekend ai reads for 2024-02-02

Second, like other GPTs, to get the full productivity benefits you need to change your work processes and often rescale the workforce, and that could take years or even decades.

The A.I. executive jobs are appearing because organizations want to harness the transformative technology, said Randy Bean, the founder of the consulting firm NewVantage Partners, who advises companies on data and A.I. leadership. At the same time, he added, “organizations want to say, ‘Yeah, we have a chief A.I. officer,’ because that makes them look good.”

Gen AI offers a trio of opportunities: it can accelerate economic value and drive business growth while also fostering more creative and meaningful work for people

Unlike many previous types of writing and productivity applications, much activity will happen within the flow of creation, perhaps with suggestions that hasten work, or open up new workflows or processes that were previously unknown.

The fact that journalists haven’t always read the news means that this trial could well succeed – with limitations, reckons Newman. It’ll only be useful for short news bulletins, but he’s less certain that viewers will embrace a parasocial relationship with an AI anchor.

Most of the executives hoping to profit off AI are in a similar state of mind. All the free money right now is going to AI businesses. They know the best way to chase that money is to throw logic to the wind and promise the masses that if we just let this technology run roughshod over every field of human endeavor it’ll be worth it in the end.

But Bard will also analyze the private content of messages “to understand the context of your conversations, your tone, and your interests.” It will analyze the sentiment of your messages, “to tailor its responses to your mood and vibe.” And it will “analyze your message history with different contacts to understand your relationship dynamics… to personalize responses based on who you're talking to.”

It found that 90% of hiring manager respondents said it’s acceptable to use generative AI in application materials, with 46% saying it should be used minimally to augment an applicant’s ideas and content, and 44% saying it can be used to create any content.

Thirty-five percent of Americans who had used an AI chatbot in the past three months said they used it instead of a search engine to answer a question, and the same percentage had had it to explain something.

So bear with me as I’ll explain—without a single technical word or mathematical equation—how LLMs actually work. To do so, I’ll use a topic we all know well: food. In the analogy to LLM, “dishes” are words and “meals” are sentences. Let’s dive in.

UT is launching the Center for Generative AI, powered by a new GPU computing cluster, among the largest in academia. The cluster will comprise 600 NVIDIA H100s GPUs — short for graphics processing units, specialized devices to enable rapid mathematical computations, making them ideal for training AI models.

A study sponsored by Turnitin shows that 75% of the students surveyed would continue using AI tools even if their professors or schools banned the technology.

OpenAI and Common Sense didn’t say how LLMs will be tweaked to help aid educators or teens. Altman said LLMs customized for educational purposes could help teens “who want to learn about science or learn about biology.”

• Identify potential risks to university operations resulting from the improper use of Al and possible mitigation options.

• Review university policies to ensure alignment with potential administrative uses of Al. Identify gaps and propose updates.

• Create an overview of Al's value across administrative domains, outlining specific examples of services where Al could enhance service delivery. Focus on near-term applications with likely rapid return on investment, separating out longer term potential.

• Identify potential risks to university operations resulting from the improper use of AI and possible mitigation options.

• Review university policies to ensure alignment with potential administrative uses of AI. Identify gaps and propose updates.

• Create an overview of AI’s value across administrative domains, outlining specific examples of services where AI could enhance service delivery. Focus on near-term applications with likely rapid return on investment, separating out longer term potential.

This book is one of the most thoughtful explorations of what skills humans will need to learn to do uniquely meaningful work alongside AI. It explores how many of the 21st century skills will be impacted by AI while also taking a look at Drivers of meaningful work.

The ChatGPT creator currently handles hundreds of millions of queries daily, with estimates suggesting that this consumes around 1GWh each day – equivalent to around 33,000 US households.

It’s hard to overstate the importance of a robust ML infrastructure. In today’s GenAI world, owning and understanding your data becomes a significant competitive advantage. Transitioning from reliance on public datasets to leveraging first-party data is necessary and a smart strategic choice.

The earliest and most obvious consumer AI use cases have come from translating a natural language prompt into a media output — e.g., image, video, and text generators. The same will be true in prosumer. These tools might help transform true “blank pages” (e.g., a text prompt to slide deck), or take incremental assets (e.g., a sketch or an outline) and turn them into a more fleshed-out product.

Loomis said the IBM coding assistant is expected to help companies update legacy systems in just a year or two, instead of several years. Compared with existing tools, generative AI can “understand the intent of the code” and turn it into usable Java right away, she said.

Quantization in ML refers to a technique used to make it possible to run certain AI models on less powerful computers and chips by replacing specific long numeric sequences in a model’s architecture with shorter ones.

The technology, created by Japanese camera maker Nikon, means farmers could soon be receiving notifications on their smartphones alerting them to the expected time a calf is due.

A camera fitted with the artificial intelligence monitors cows for signs that they are about to go into labour, offering about five hours of notice before the cow delivers.

In this project we use augmented reality to overlay the user's surroundings with signage posing questions about past and present climatic conditions.

These signs call attention to the small changes in the climate already occurring all around us, inviting playful responses.

In this study, we aim at validating our new image-generation algorithm (based on a new form of Generative Adversarial Network - GAN - technology) trained to produce high-quality erotic (but also non-erotic content).