Microsoft says AI will be as important as the invention of the PC and internet

[vtqhtr413]

Content source

https://www.techradar.com/news/microsoft-says-ai-will-be-as-important-as-the-invention-of-the-pc-and-internet

In the company's blog post, Microsoft described the investment as the "third phase of our long-term partnership" with OpenAI, promising to advance the technology and make it available to everyone globally. Microsoft hopes that the increased use of AI in supercomputing and research will yield commercially viable technologies for the company to capitalize on, echoing other calls it made recently, such as its wish to integrate ChatGPT into its Bing search engine. OpenAI was born in 2015, with Elon Musk as one of its cofounders, and Microsoft as the first big investor, initially providng funding in 2019, and then again in 2021. AI appears to be capturing the minds of big tech, as Microsoft are adamant that AI technologies have the "transformative impact at the magnitude of the personal computer, the internet, mobile devices and the cloud."

Microsoft says AI will be as important as the invention of the PC and internet

Microsoft confirms "multi-billion dollar investment" in OpenAI

www.techradar.com

 

[Andrezj]

OpenAI was born in 2015, with Elon Musk as one of its cofounders, and Microsoft as the first big investor, initially providng funding in 2019, and then again in 2021.

lol, there is somebody that does not know the difference between the "birth of AI" (1956) and the "birth of OpenAI" (2015)
fyi, eset implemented ml and ai first in antivirus back in the 1990s

Microsoft hopes that the increased use of AI in supercomputing and research will yield commercially viable technologies for the company to capitalize on

anybody remember IBM Watson AI project, touted hard here by some?

What Went Wrong With IBM’s Watson?

IBM’s Watson Was Supposed to Change the Way We Treat Cancer. Here’s What Happened Instead.

How the A.I. project to improve oncology went wrong.

slate.com

​

How IBM’s Watson Went From the Future of Health Care to Sold Off for Parts

How IBM’s Watson Went From the Future of Health Care to Sold Off for Parts

Casey Ross on where Watson went wrong and how the industry can learn from IBM’s mistakes.

slate.com

​

sounds just like how microsoft anounces projects and then it eventually and quietly abandons those projects

 

[enaph]

Google fed coding interview questions to ChatGPT and, based off the AI's answers, determined it would be hired for a level three engineering position, according to an internal document.

As reported(Opens in a new window) by CNBC, the experiment was done as part of Google's recent testing of multiple AI chatbots, which it's considering adding to the site. ChatGPT's ability to surface a concise, high-fidelity answer to a question could save users time typically spent surfing links on Google to find the same information.

“Amazingly, ChatGPT gets hired at L3 when interviewed for a coding position,” says the document. And while level three is considered an entry-level position on the engineering team at Google, average total compensation for the job is about $183,000(Opens in a new window).

ChatGPT Passes Google Coding Interview for Level 3 Engineer With $183K Salary

'Amazingly, ChatGPT gets hired at L3 when interviewed for a coding position,' reads a Google document, but ChatGPT itself says it can't replicate human creativity and problem-solving skills.

www.pcmag.com

 

[vtqhtr413]

Popular methods of artificial intelligence have an “explainability problem,” the inability to see exactly what’s happening between input and output, and this challenge will prevent major new advances from neural networks. That’s one of the predictions for 2023 from Mark R. Anderson, founding chair and CEO of Strategic News Service (SNS) and the Future in Review Conferences. An author, scientist, and entrepreneur, he’s known for using pattern discovery to accurately predict the future, and his predictions are one reason SNS has been followed closely in the industry since 1995. On this episode of the GeekWire Podcast, he answers questions about two more of his predictions for 2023: skeptical takes on the near-term future of autonomous systems, plus virtual reality and the “metaverse.”

The problem with AI neural networks, and more predictions about the future of technology

Mark R. Anderson of Strategic News Service, the Future in Review Conferences and Pattern Computer. Popular methods of artificial intelligence have an

www.geekwire.com

 

[ForgottenSeer 98186]

The problem with AI neural networks, and more predictions about the future of technology

Mark R. Anderson of Strategic News Service, the Future in Review Conferences and Pattern Computer. Popular methods of artificial intelligence have an

www.geekwire.com

Uh oh. Can't reveal the inconvenient truths about AI here coz it upsets one of the local natives who then has a tantrum.

 

[vtqhtr413]

Uh oh. Can't reveal the inconvenient truths about AI here coz it upsets one of the local natives who then has a tantrum.

I look for information from all directions on a given topic and post the facts as I find them, even here I would say the first post is Pro AI and the second is Con AI, at least that's how I see it.
More to your post, the moderators here have only deleted one of my posts and I thought that they might because it was a direct link to an Item for sale so no surprise, that was the only one that I can recall in some years

Welcome to the forum btw

 

[ForgottenSeer 98186]

I look for information from all directions on a given topic and post the facts as I find them, even here I would say the first post is Pro AI and the second is Con AI, at least that's how I see it.
More to your post, the moderators here have only deleted one of my posts and I thought that they might because it was a direct link to an Item for sale so no surprise, that was the only one that I can recall in some years

Welcome to the forum btw

There is a lot wrong with AI. Problems are just a normal part of any software technology. There are just a few individuals here that cannot handle anything negative being said about AI. That what is said is factually correct does not matter to them. They take affront.

 

[vtqhtr413]

There is a lot wrong with AI. Problems are just a normal part of any software technology.

Agreed, it's hard to predict how long it will take to really see results from this tech/thing but it will forever be involved from here, for good or not, as to the second part of your post, please PM me with the facts you speak of.

 

[oldschool]

Cylance. Word.

 

[ForgottenSeer 98186]

Just wait until the bad AI starts a war against the good AI. In this world we do not need some arm fragment from the future in a CyberDyne laboratory.

It is all going to start with ChatGPT. lol, watch there be a nuclear FUD version of a MyDoom virus that is distributed as a worm that caused $61 billion in damages in today's dollars.

 

[vtqhtr413]

Cylance. Word.

Always the rebel, just one of the things I like about you, are you still using Cylance, I remember the threads from ForgottenSeer 58943 on the topic, it was ForgottenSeer 58943 wasn't it? Another member sorely missed, also a rebel

 

[enaph]

AI is the most profound technology we are working on today. Whether it’s helping doctors detect diseases earlier or enabling people to access information in their own language, AI helps people, businesses and communities unlock their potential. And it opens up new opportunities that could significantly improve billions of lives. That’s why we re-oriented the company around AI six years ago — and why we see it as the most important way we can deliver on our mission: to organize the world’s information and make it universally accessible and useful.
Since then we’ve continued to make investments in AI across the board, and Google AI and DeepMind are advancing the state of the art. Today, the scale of the largest AI computations is doubling every six months, far outpacing Moore’s Law. At the same time, advanced generative AI and large language models are capturing the imaginations of people around the world. In fact, our Transformer research project and our field-defining paper in 2017, as well as our important advances in diffusion models, are now the basis of many of the generative AI applications you're starting to see today.

Introducing Bard​

It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people. That’s the journey we’ve been on with large language models. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short).
We’ve been working on an experimental conversational AI service, powered by LaMDA, that we’re calling Bard. And today, we’re taking another step forward by opening it up to trusted testers ahead of making it more widely available to the public in the coming weeks.
Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. Bard can be an outlet for creativity, and a launchpad for curiosity, helping you to explain new discoveries from NASA’s James Webb Space Telescope to a 9-year-old, or learn more about the best strikers in football right now, and then get drills to build your skills.

We’re releasing it initially with our lightweight model version of LaMDA. This much smaller model requires significantly less computing power, enabling us to scale to more users, allowing for more feedback. We’ll combine external feedback with our own internal testing to make sure Bard’s responses meet a high bar for quality, safety and groundedness in real-world information. We’re excited for this phase of testing to help us continue to learn and improve Bard’s quality and speed.

Bringing the benefits of AI into our everyday products​

We have a long history of using AI to improve Search for billions of people. BERT, one of our first Transformer models, was revolutionary in understanding the intricacies of human language. Two years ago, we introduced MUM, which is 1,000 times more powerful than BERT and has next-level and multi-lingual understanding of information which can pick out key moments in videos and provide critical information, including crisis support, in more languages.
Now, our newest AI technologies — like LaMDA, PaLM, Imagen and MusicLM — are building on this, creating entirely new ways to engage with information, from language and images to video and audio. We’re working to bring these latest AI advancements into our products, starting with Search.
One of the most exciting opportunities is how AI can deepen our understanding of information and turn it into useful knowledge more efficiently — making it easier for people to get to the heart of what they’re looking for and get things done. When people think of Google, they often think of turning to us for quick factual answers, like “how many keys does a piano have?” But increasingly, people are turning to Google for deeper insights and understanding — like, “is the piano or guitar easier to learn, and how much practice does each need?” Learning about a topic like this can take a lot of effort to figure out what you really need to know, and people often want to explore a diverse range of opinions or perspectives.
AI can be helpful in these moments, synthesizing insights for questions where there’s no one right answer. Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner. These new AI features will begin rolling out on Google Search soon.

Helping developers innovate with AI​

Beyond our own products, we think it’s important to make it easy, safe and scalable for others to benefit from these advances by building on top of our best models. Next month, we’ll start onboarding individual developers, creators and enterprises so they can try our Generative Language API, initially powered by LaMDA with a range of models to follow. Over time, we intend to create a suite of tools and APIs that will make it easy for others to build more innovative applications with AI. Having the necessary compute power to build reliable and trustworthy AI systems is also crucial to startups, and we are excited to help scale these efforts through our Google Cloud partnerships with Cohere, C3.ai and Anthropic, which was just announced last week. Stay tuned for more developer details soon.

Bold and responsible​

It’s critical that we bring experiences rooted in these models to the world in a bold and responsible way. That’s why we’re committed to developing AI responsibly: In 2018, Google was one of the first companies to publish a set of AI Principles. We continue to provide education and resources for our researchers, partner with governments and external organizations to develop standards and best practices, and work with communities and experts to make AI safe and useful.
Whether it’s applying AI to radically transform our own products or making these powerful tools available to others, we’ll continue to be bold with innovation and responsible in our approach. And it’s just the beginning — more to come in all of these areas in the weeks and months ahead.

An important next step on our AI journey

Introducing Bard, Google's experimental conversational AI service powered by LaMDA — plus, new AI features in Search coming soon.

blog.google

 

[Zero Knowledge]

Google's AI thinking "Microsoft got the jump and got on the hypetrain with ChatGPT so we better show the shareholders we are on the bandwagon too!"

You know for all this promise and revolution talk what's the main thing Google will probably use AI for? Delivering better target advertising most likely.