Spotify has reportedly pulled tens of thousands of tracks from generative AI company Boomy. It's said to have removed seven percent of the songs created by the startup's systems, which underscores the swift proliferation of AI-generated content on music streaming platforms. Universal Music reportedly told Spotify and other major services that it detected suspicious streaming activity on Boomy's songs. In other words, there were suspicions that bots were being used to boost listener figures and generate ill-gotten revenue for uploaders. Spotify pays royalties to artists and rights holders on a per-listen basis.

Fox News host Sean Hannity gives his take on the Biden family's questionable business dealings on'Hannity.' TURNING BACK THE CLOCK – I'm a doctor and my Black parents saw me break free of segregation. BRIAN MAST – Joe Biden is abusing veterans like me to boost this key policy… Continue reading… JONATHAN TURLEY – Joe Biden says Hunter has done'nothing wrong.' VIDEO OF THE DAY – Fox News host Laura Ingraham explains why Democrats want to focus on gun control instead of inflation and the economy heading into 2024 … Watch now... PUFF, PUFF, PASS – This is America's surprising youth drug crisis… Continue reading… JUST SAY NO – California Reparations: Great-granddaughter of racism victim in Golden State says no. Here's why… Continue reading… FIGHTING HARD – Biden's bizarre view of women's sports puts female athletes at risk… Continue reading… COMER – Biden family was dealing with'very bad actors in very bad countries'… See the video… PUFFBALL PRESS – Liberal media continues to bury Hunter Biden's horrible behavior around daughter Navy Joan… Continue reading…

People say things such as "AI art is garbage" and "It's plagiarism," but also "AI art is going to destroy creativity itself." These reactions are contradictory, but nobody seems to notice. AI is the bogeyman in the shadows: The obscurity, more than anything the monster has actually perpetrated, is the source of loathing and despair. Consider the ongoing feud between the Writers Guild of America and the Alliance of Motion Picture and Television Producers. The writers are on strike, arguing, among other things, that studios should not be able to use AI tools to replace their labor.

Artiphon, the company behind the Orba handheld synth and MIDI controller, launched a new AR music creation app today that you don't need a musical background to enjoy. Minibeats for iOS uses gestures, dance moves and facial expressions to craft songs played on 12 virtual instruments with colorful visual effects. You could view the Minibeats app as a phone camera equivalent to Artiphon's music-creation hardware. Here, instead of tapping touchpads on top of an orb-like device, the app lets you wave your hands, smile, frown and bust a move; the camera will capture your gestures and turn them into corresponding music. The app is an extension of the company's mission to make music creation a fun and simple activity that anyone can do.

The first time I played the tabletop game Fiasco, it wasn't the story my friends and I made that blew me away. It was the realization that I had just experienced the limitless possibilities of collaborative writing, that the novels I loved featured just one way their narratives could have played out. Alice could have transformed the Mad Tea Party into Wonderland's first organic tea shop. Don Quixote could have devolved into a windmill-killer for hire. Later I realized the similarities between tabletop games and ways novelists challenge their narrative choices, from literary constraints to automatic writing to William Burroughs' cutup method.

Apple co-founder Steve Wozniak has warned that artificial intelligence could be used by "bad actors" and make it harder to spot scams and misinformation. Wozniak, who was one of Apple's co-founders with the late Steve Jobs and invented the company's first computer, said AI content should be clearly labelled, and called for regulation for the sector. The Silicon Valley entrepreneur was among more than 1,800 people who signed a letter in March, alongside the Tesla chief executive, Elon Musk, to call for a six-month pause in the development of powerful AI systems, arguing that they posed profound risks to humanity. Some signatories to the letter were later revealed to be fake, and others backed out on their support. Wozniak, known in the tech world as Woz, talked about the benefits of AI and the dangers.

Journalists, screenwriters and college professors are among widening groups of people who are concerned about eventually losing their livelihoods to artificial intelligence programs like ChatGPT, which can produce copy faster and possibly better than humans. But one entrepreneur is pursuing technology to make it easier to distinguish between text written by people and that composed by a machine. Edward Tian, a 22-year-old Princeton University student studying computer science and journalism, developed an app called GPTZero to deter the misuse of the viral chatbot ChatGPT in classrooms. The app has racked up 1.2 million registered users since January. He's now launching a new program called Origin aimed at "saving journalism," by distinguishing AI-generated disinformation from fact in online media.

Large AI Models (LAIMs), of which large language models are the most prominent recent example, showcase some impressive performance. However they have been empirically found to pose serious security issues. This paper systematizes our knowledge about the fundamental impossibility of building arbitrarily accurate and secure machine learning models. More precisely, we identify key challenging features of many of today's machine learning settings. Namely, high accuracy seems to require memorizing large training datasets, which are often user-generated and highly heterogeneous, with both sensitive information and fake users. We then survey statistical lower bounds that, we argue, constitute a compelling case against the possibility of designing high-accuracy LAIMs with strong security guarantees.

Goal-directed dialogue systems aim to proactively reach a pre-determined target through multi-turn conversations. The key to achieving this task lies in planning dialogue paths that smoothly and coherently direct conversations towards the target. However, this is a challenging and under-explored task. In this work, we propose a coherent dialogue planning approach that uses a stochastic process to model the temporal dynamics of dialogue paths. We define a latent space that captures the coherence of goal-directed behavior using a Brownian bridge process, which allows us to incorporate user feedback flexibly in dialogue planning. Based on the derived latent trajectories, we generate dialogue paths explicitly using pre-trained language models. We finally employ these paths as natural language prompts to guide dialogue generation. Our experiments show that our approach generates more coherent utterances and achieves the goal with a higher success rate.

Gaps, dropouts and short clips of corrupted audio are a common problem and particularly annoying when they occur in speech. This paper uses machine learning to regenerate gaps of up to 320ms in an audio speech signal. Audio regeneration is translated into image regeneration by transforming audio into a Mel-spectrogram and using image in-painting to regenerate the gaps. The full Mel-spectrogram is then transferred back to audio using the Parallel-WaveGAN vocoder and integrated into the audio stream. Using a sample of 1300 spoken audio clips of between 1 and 10 seconds taken from the publicly-available LJSpeech dataset our results show regeneration of audio gaps in close to real time using GANs with a GPU equipped system. As expected, the smaller the gap in the audio, the better the quality of the filled gaps. On a gap of 240ms the average mean opinion score (MOS) for the best performing models was 3.737, on a scale of 1 (worst) to 5 (best) which is sufficient for a human to perceive as close to uninterrupted human speech.