Try Bard and share your feedback

We’re starting to open access to Bard, an early experiment that lets you collaborate with generative AI. We’re beginning with the U.S. and the U.K., and will expand to more countries and languages over time.

Today we’re starting to open access to Bard, an early experiment that lets you collaborate with generative AI. This follows our announcements from last week as we continue to bring helpful AI experiences to people, businesses and communities.

You can use Bard to boost your productivity, accelerate your ideas and fuel your curiosity. You might ask Bard to give you tips to reach your goal of reading more books this year, explain quantum physics in simple terms or spark your creativity by outlining a blog post. We’ve learned a lot so far by testing Bard, and the next critical step in improving it is to get feedback from more people. Read More

#chatbots

The case for slowing down AI

Pumping the brakes on artificial intelligence could be the best thing we ever do for humanity.

“Computers need to be accountable to machines,” a top Microsoft executive told a roomful of reporters in Washington, DC, on February 10, three days after the company launched its new AI-powered Bing search engine.

Everyone laughed.

“Sorry! Computers need to be accountable to people!” he said, and then made sure to clarify, “That was not a Freudian slip.”

Slip or not, the laughter in the room betrayed a latent anxiety. Progress in artificial intelligence has been moving so unbelievably fast lately that the question is becoming unavoidable: How long until AI dominates our world to the point where we’re answering to it rather than it answering to us? Read More

#artificial-intelligence

The genie escapes: Stanford copies the ChatGPT AI for less than $600

Stanford’s Alpaca AI performs similarly to the astonishing ChatGPT on many tasks – but it’s built on an open-source language model and cost less than US$600 to train up. It seems these godlike AIs are already frighteningly cheap and easy to replicate.

Six months ago, only researchers and boffins were following the development of large language models. But ChatGPT’s launch late last year sent a rocket up humanity’s backside: machines are now able to communicate in a way pretty much indistinguishable from humans. They’re able to write text and even programming code across a dizzying array of subject areas in seconds, often of a very high standard. They’re improving at a meteoric rate, as the launch of GPT-4 illustrates, and they stand to fundamentally transform human society like few other technologies could, by potentially automating a range of job tasks – particularly among white-collar workers – people might previously have thought of as impossible.

Many other companies – notably Google, Apple, Meta, Baidu and Amazon, among others – are not too far behind, and their AIs will soon be flooding into the market, attached to every possible application and device. … But what about a language model you can build yourself for 600 bucks? Read More

GitHub Here

#chatbots

AI image creator comes to Microsoft Bing

Microsoft’s Bing search engine and Edge browser are now equipped with an AI-powered image creator.

Why it matters: The tool uses OpenAI’s DALL-E to generate images from text prompts, and its rollout today reflects how quickly Microsoft has been building on its OpenAI partnership.

Read More

#big7, #image-recognition

The Age of AI has begun

Artificial intelligence is as revolutionary as mobile phones and the Internet.

In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.

The first time was in 1980, when I was introduced to a graphical user interface—the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years.

The second big surprise came just last year. I’d been meeting with the team from OpenAI since 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts—it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.

I thought the challenge would keep them busy for two or three years. They finished it in just a few months. Read More

#artificial-intelligence