Reddit has collected a treasure trove of human interactions and conversations throughout the past 18 years and this rich data pool has been the perfect spot for companies to train large language models, otherwise known as AI chatbots. Now, Reddit wants a piece of the AI pie and will begin charging companies for API access, which is necessary to train LLMs. After all, these are not mom-and-pop companies using the API to train AI chatbots. Bigwigs like Google and OpenAI use Reddit to help provide initial guidance to burgeoning artificial intelligence services. To that end, Reddit is introducing a "new premium access point for third parties," the company said in an official announcement.

The field of artificial intelligence has had many spurts of progress since it began in earnest in 1950, and also long periods of stagnation and pessimism. But in recent years we have seen the pace of research accelerate to surprising speed. Large language models like GPT-4 have passed parts of the US Medical Licensing Examination, the Multistate Bar Examination and a test given to coding job candidates at Amazon.

Originally published on the Distant Whispers blog. From the coverage that ChatGPT, developed by OpenAI, has been receiving since its launch in November 2022, you would be forgiven for thinking that is the only technology story around. And it deserves the spotlight. Few had expected the jaw-dropping rapid strides that this technology has made in the last few years, and it will continue to wow us this year. It has opened a bottle, and a genie with unsurpassed powers has emerged.

Scene: A U.S. adversary is at work on a new type of drone, ship, or aircraft and it's your job to find it, wherever it is. Not long ago, that task would take a massive effort of human, signals, and open-source intelligence collection. But a researcher from AI company Synthetaic has created a tool that will allow users to find virtually any large object that exists in any satellite photo of the Earth within just one day. It's also the sort of capability the National Geospatial-Intelligence Agency is also looking to develop, and it could radically shift strategic advantage on the battlefield. Corey Jaskolski, founder and CEO of Synthetaic, dubbed his satellite image scanning tool Rapid Automatic Image Categorization, or RAIC.

There are now hundreds of image-specific AI algorithms across the fields of radiology and cardiology. This is all very exciting. According to a recent study on clinical use of AI in osteoporosis published in the journal Nature, "Applying the AI algorithms in a clinical setting could help primary care providers classify patients with osteoporosis and improve treatment by recommending appropriate exercise programs." Unfortunately, there is a huge caveat. The problem occurs when these algorithms are extended to clinical practice without set standards and requiring massive amounts of data on which to train.

A woman successfully used ChatGPT to encourage her landlord to fix a washer and dryer that had been out of order for over two years. The washing machine of a New York City apartment was fixed soon after 28-year-old Svetlana sent a legally charged chatbot letter to her landlord. Svetlana, who did not wish to reveal her last name, claimed the bot was'super-smart' after quoting specific sections of New York rent law to back its case. She said: 'That's the beauty of ChatGPT; the ability to collaborate, bounce ideas, put thoughts into a cohesive piece of writing. The New York resident first had qualms with her landlord after receiving a rent increase notice of 0.4 per cent, from $1,389 to $1,395 (£1116 to £1121).

In this post, we introduce Koala, a chatbot trained by fine-tuning Meta's LLaMA on dialogue data gathered from the web. We describe the dataset curation and training process of our model, and also present the results of a user study that compares our model to ChatGPT and Stanford's Alpaca. Our results show that Koala can effectively respond to a variety of user queries, generating responses that are often preferred over Alpaca, and at least tied with ChatGPT in over half of the cases. We hope that these results contribute further to the discourse around the relative performance of large closed-source models to smaller public models. In particular, it suggests that models that are small enough to be run locally can capture much of the performance of their larger cousins if trained on carefully sourced data.

One suggestion, this a cladogram makes more sense top-to-bottom or left-to-right. The reader should start at the oldest point and then read to the newest. Edit: After seeing the one on your website you really need larger distance between months in recent time. It feels a bit unfair, but objectively as your chart clearly shows more AI models with an impact have come out in the past 6 months than in the past 6 years. The rate of progress is absolutely exploding in AI development by any reasonable metric.

Sébastien Bubeck, a machine learning researcher at Microsoft, woke up one night last September thinking about artificial intelligence--and unicorns. Bubeck had recently gotten early access to GPT-4, a powerful text generation algorithm from OpenAI and an upgrade to the machine learning model at the heart of the wildly popular chatbot ChatGPT. Bubeck was part of a team working to integrate the new AI system into Microsoft's Bing search engine. But he and his colleagues kept marveling at how different GPT-4 seemed from anything they'd seen before. GPT-4, like its predecessors, had been fed massive amounts of text and code and trained to use the statistical patterns in that corpus to predict the words that should be generated in reply to a piece of text input.

Internet Accountability Project founder and President Mike Davis says he agrees with Elon Musk's move to pause artificial intelligence development, saying top tech companies are'monopolies' with'too much power.' Billionaire and Twitter CEO Elon Musk appeared to suggest that would sue OpenAI, the company behind ChatGPT, in a viral tweet Tuesday. Musk was responding to a post from podcast host Benny Johnson that asked whether Musk would "sue Open AI for defrauding" him. "Wait for it …" Musk tweeted back, sparking speculation online that the billionaire would take a swing at OpenAI, an artificial intelligence powerhouse based out of San Francisco. Musk recently gave an interview to Fox News host Tucker Carlson during which he warned that AI could cause "civilization destruction."