The Close Encounters of an Athletic Kind Are Getting Even Closer
An object lesson why humans need to be involved at every stage of the rollout of new automations. Not only during the success metric stage but also during pre and post-launch QA.
From “Heavy Purchasers” of Pregnancy Tests to the Depression-Prone: We Found 650,000 Ways Advertisers Label You
A spreadsheet on ad platform Xandr’s website revealed a massive collection of “audience segments” used to target consumers based on highly specific, sometimes intimate information and inferences
King Gizzard & The Lizard Wizard: A Beautiful Mind Fuzz
the band will post audio master files and cover art from prime shows and unexpected studio sessions on their website for fans to download, tweak and distribute as they see fit. A note on their homepage offers just one short disclaimer: “Only deal is you’ve gotta send us some of them to sell on Gizzverse.com—whatever you feel is a fair trade is cool with us,”
As artificial intelligence becomes more advanced, it is able to generate increasingly sophisticated content, including music, images, and even text. This raises questions about who owns the rights to such creations and whether they are protected under copyright law. The article examines different perspectives on the issue and discusses the challenges of creating a legal framework that addresses the complex issues involved. It also explores the potential implications for the creative industries, as well as for the development and use of AI.
Inside the secret list of websites that make AI like ChatGPT sound smart
Tech companies have grown secretive about what they feed the AI. So The Washington Post set out to analyze one of these data sets to fully reveal the types of proprietary, personal, and often offensive websites that go into an AI’s training data.
BloombergGPT aims to be a domain-specific AI for business news
How big is BloombergGPT? Well, the company says it was trained on a corpus of more than 700 billion tokens (or word fragments). For context, GPT-3, released in 2020, was trained on about 500 billion.
The tech behind Artifact, the newly launched news aggregator from Instagram’s co-founders
“Actually, building the algorithm is enormously editorial,” Systrom says. “Because what you choose to train your algorithm on — the objective function, the data you put in, the data you include, the data you don’t include — is all in editorial judgment. The way you weight different objectives.”
The combination of Flipboard.social and our beta Mastodon integration helps make the brave new world of the Fediverse more approachable and beautiful...Flipboard is tearing down the walls of our own walled garden to give users, curators and content creators more choice, more freedom, more transparency and more ownership...The future will be federated. And so will Flipboard.
Connect Your Mastodon Account to Flipboard and Join a Federated Future
With all the Twitter drama and backlash against Big Tech, people are looking for alternatives. Mastodon, an emerging microblogging service, has welcomed millions of new users as a result. It’s also one major example of a new, federated social media service that’s more open and benevolent than the platforms we know today.
Flipboard joins the Fediverse with a Mastodon integration and community, plans for ActivityPub
The company is also directly investing in the Fediverse by opening its own Mastodon instance at flipboard.social. The CEO describes the instance as a “high-quality, scalable instance that will be highly moderated, fast, secure, and reliable.” The company’s own moderation team, now a staff of seven, will be responsible for the instance’s moderation in addition to their existing duties.
Sci-Fi Magazine Shuts Down Submissions After Onslaught of AI-Generated Spam
Sci-fi and fantasy magazine Clarkesworld, which has been publishing the works of award-winning writers for 17 years, had to shut down submissions over the weekend after getting overwhelmed by an onslaught of AI-generated works.
Introducing the AI Mirror Test, which very smart people keep failing
AI chatbots like Bing and ChatGPT are entrancing users, but they’re just autocomplete systems trained on our own stories about superintelligent AI. That makes them software — not sentient. It’s time to take a hard look in the mirror. And not mistake our own intelligence for a machine’s.
When we blame an algorithm for exhibiting bias we should start with the realization that it is reflecting our own biases. We must fix both: the data it learns from and the underlying corruption in society’s soul.
Deciding the line between acceptable and unacceptable speech is time-consuming. It’s messy. It needs to involve input from civil society. It’s constantly shifting and culture-specific. And it needs to be done for every possible type of speech. Because of all that, AI has no role here.