The structure of causal language model training assumes that each token can be accurately predicted from the previous context. This contrasts with humans' natural writing and reasoning process, where goals are typically known before the exact argument or phrasings. While this mismatch has been well studied in the literature, the working assumption has been that architectural changes are needed to address this mismatch. We argue that rearranging and processing the training data sequences can allow models to more accurately imitate the true data-generating process, and does not require any other changes to the architecture or training infrastructure. We demonstrate that this technique, Trelawney, and the inference algorithms derived from it allow us to improve performance on several key benchmarks that span planning, algorithmic reasoning, and story generation tasks. Finally, our method naturally enables the generation of long-term goals at no additional cost. We investigate how using the model's goal-generation capability can further improve planning and reasoning. Additionally, we believe Trelawney could potentially open doors to new capabilities beyond the current language modeling paradigm.

In February, BuzzFeed's leadership announced that the company's storied quiz operation was pivoting to A.I. OpenAI's generative language tool ChatGPT has proven to be effective at regurgitating hackneyed cultural motifs back at its users, which makes it perfect for the platitudinal terrain of BuzzFeed quizzes. The company has gone all-in on the new revolution by adopting a text synthesis program modeled on ChatGPT's technology, tiling the website with uncanny questionnaires--all scented with the trademark unspecificity of machine learning--and published under the byline "Buzzy the Robot." Buzzy is listed on the masthead as an A.I. Creative Assistant, and I suspect that he's not a member of the union. "What If You Were A Disney Princess? This Quiz Will Answer That Question," reads one of the characteristically mangled headlines written by Buzzy.

You can see the full list of travel articles from BuzzFeed's "Buzzy" AI tool right here. Right now, there are 44 posts covering destinations like Morocco, Stockholm, and Cape May, New Jersey. The articles are "written with the help of Buzzy the Robot (aka our Creative AI Assistant) but powered by human ideas," BuzzFeed says on Buzzy's profile. The top of each story I've seen includes a line noting that an article was "collaboratively written" by a human and Buzzy.

I know what you're thinking. "I'm going on a trip to Cape May, NJ and need a true'hidden gem' of a travel guide." Well, if by some extreme fluke, you see one of BuzzFeed's AI-assisted content in your search results, here's my recommendation: avoid it. That's because BuzzFeed has published 20 low-quality travel articles under the byline "As Told to Buzzy." They're all super formulaic and written in the first-person point of view.

BuzzFeed's AI-powered quizzes have arrived. Starting today, there are six for readers to try. As you can probably imagine, the majority are themed around Valentine's Day. Want help writing the perfect breakup text? Those are just a few of the "Infinity Quizzes" BuzzFeed has on offer.

The stolen items had belonged to Buzzy, who was part of the now-closed "Wonders of Life" attraction at Epcot. Authorities say they're investigating the theft of clothing that belonged to a retired animatronic character at Walt Disney World. The Orange County Sheriff's Office announced Thursday that the theft occurred in August. The stolen items had belonged to Buzzy, who was part of the now-closed "Wonders of Life" attraction at Epcot. Investigators say someone sneaked into a backstage area that's not open to the public and took a red jacket, green cap and rubber molded hands.

Publishing numbers about the level of investment in core technologies can lead to something of a self-fulfilling prophecy, as investors use such data to influence their own investment strategy. Nonetheless, GlobalData has laid out how the money flowed last year both by charting the number of investors and the number of companies that received investments. And for good measure, it sized the circle of each intersection by the size of the investment. Bringing up the rear is blockchain and robotics. The former is a bit of a surprise given the hype around the space and its near endless applications, but we can expect momentum to pick up in 2018.