The thing that we have to come to grips with in a world of ubiquitous, powerful AI tools is how much it can do for us. The multiplier on human effort is unprecedented, and potentially disruptive. But this fact can often feel abstract.
So I decided to run an experiment. I gave myself 30 minutes, and tried to accomplish as much as I could during that time on a single business project. At the end of 30 minutes I would stop. The project: to market the launch a new educational game. AI would do all the work, I would just offer directions.
And what it accomplished was superhuman. I will go through the details in a moment, but, in 30 minutes it: did market research, created a positioning document, wrote an email campaign, created a website, created a logo and “hero shot” graphic, made a social media campaign for multiple platforms, and scripted and created a video. In 30 minutes. Read More
Tag Archives: ChatBots
OpenAI says 80% of workers could see their jobs impacted by AI. These are the jobs most affected
OpenAI, the company behind the popular chatbot ChatGPT, has crunched the numbers on different jobs’ exposure to artificial intelligence (AI) – and those numbers are eye-opening.
Using its latest machine learning language model (LLM), the recently released GPT-4, as well as human expertise, researchers investigated the potential implications of language models on occupations within the US job market.
While the researchers stress the paper is not a prediction, they found around 80 per cent of the US workforce could have at least 10 per cent of their work tasks affected by GPTs, or Generative Pre-trained Transformers. Read More
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
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
Lightning AI CEO slams OpenAI’s GPT-4 paper as ‘masquerading as research’
Shortly after OpenAI’s surprise release of its long-awaited GPT-4 model yesterday, there was a raft of online criticism about what accompanied the announcement: a 98-page technical report about the “development of GPT-4.”
Many said the report was notable mostly for what it did not include. In a section called Scope and Limitations of this Technical Report, it says: “Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar.”
“I think we can call it shut on ‘Open’ AI: the 98 page paper introducing GPT-4 proudly declares that they’re disclosing *nothing* about the contents of their training set,” tweeted Ben Schmidt, VP of information design at Nomic AI. Read More
OpenAI’s GPT-4 Just Smoked Basically Every Test and Exam Anyone’s Ever Taken
OpenAI’s GPT-4 is officially here — and the numbers speak for themselves.
Hot on the heels of its announcement, OpenAI has released a bunch of stats about its even-more-powerful new large language model — and reader, we’re both spooked and skeptical in equal measures.
According to a new white paper, the algorithm got incredibly good scores on a number of exams including the Bar, the LSATs, the SAT’s Reading and Math tests, and the GRE. Read More
China’s answer to ChatGPT? Baidu shares tumble as Ernie Bot disappoints
China’s Baidu unveiled its much-awaited artificial intelligence-powered chatbot known as Ernie Bot on Thursday, but disappointed investors with its use of pre-recorded videos and the lack of a public launch, sending its shares tumbling.
The just over an hour-long presentation, which came two days after Alphabet Inc’s (GOOGL.O) Google unveiled a flurry of AI tools for its email, collaboration and cloud software, gave the world a glimpse of what could be China’s strongest rival to U.S. research lab OpenAI’s ChatGPT. Read More
OpenAI co-founder on company’s past approach to openly sharing research: ‘We were wrong’
OpenAI announced its latest language model, GPT-4, but many in the AI community were disappointed by the lack of public information. Their complaints track increasing tensions in the AI world over safety.
Yesterday, OpenAI announced GPT-4, its long-awaited next-generation AI language model. The system’s capabilities are still being assessed, but as researchers and experts pore over its accompanying materials, many have expressed disappointment at one particular feature: that despite the name of its parent company, GPT-4 is not an open AI model.
OpenAI has shared plenty of benchmark and test results for GPT-4, as well as some intriguing demos, but has offered essentially no information on the data used to train the system, its energy costs, or the specific hardware or methods used to create it. Read More
OpenAI Introduces GPT-4
OpenAI announced GPT-4, its latest milestone in scaling up deep learning.
GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.
… We are releasing GPT-4’s text input capability via ChatGPT and the API (with a waitlist). To prepare the image input capability for wider availability, we’re collaborating closely with a single partner to start. We’re also open-sourcing OpenAI Evals, our framework for automated evaluation of AI model performance, to allow anyone to report shortcomings in our models to help guide further improvements. Read More
Spotify launches ‘DJ,’ a new feature offering personalized music with AI-powered commentary
Ahead of Spotify’s upcoming Stream On event, where the company is expected to announce a redesigned home feed and other updates, the company today launched a new AI feature called “DJ” to better personalize the music listening experience for its users. Similar to a radio DJ, Spotify’s DJ feature will deliver a curated selection of music alongside AI-powered spoken commentary about the tracks and artists you like, using what Spotify says is a “stunningly realistic voice.”
The idea, explains the company, is for Spotify to get to know users so well that the DJ can choose what to play for you when you hit the button. Or, as Spotify says, it’s putting an “AI DJ in your pocket.” Read More
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