ai

Der Vorzeichenfehler in der Debatte über generative ToolsKein Text, kein Vortrag, kein Podcast, kein Gespräch in dieser Debatte sollte ohne einen Prolog zur begrifflichen Schärfung und zur spr

Scarlett Johansson says OpenAI approached her to use her voice long before it was released. She said no and they still took it. https://www.npr.org/2024/05/20/1252495087/openai-pulls-ai-voice-that-was-compared-to-scarlett-johansson-in-the-movie-her Now, in a blog post OpenAI says: “Sky’s voice is not an imitation of Scarlett Johansson” https://openai.com/index/how-the-voices-for-chatgpt-were-chosen/ But their CEO even tweeted the word “her” as a way of announcing the voice. post truth much? this company just keeps on grabbing what isn't theirs

Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching for solutions to detect such content. The paper examines the general functionality of detection tools for AI-generated text and evaluates them based on accuracy and error type analysis. Specifically, the study seeks to answer research questions about whether existing detection tools can reliably differentiate between human-written text and ChatGPT-generated text, and whether machine translation and content obfuscation techniques affect the detection of AI-generated text. The research covers 12 publicly available tools and two commercial systems (Turnitin and PlagiarismCheck) that are widely used in the academic setting. The researchers conclude that the available detection tools are neither accurate nor reliable and have a main bias towards classifying the output as human-written rather than detecting AI-generated text. Furthermore, content obfuscation techniques significantly worsen the performance of tools. The study makes several significant contributions. First, it summarises up-to-date similar scientific and non-scientific efforts in the field. Second, it presents the result of one of the most comprehensive tests conducted so far, based on a rigorous research methodology, an original document set, and a broad coverage of tools. Third, it discusses the implications and drawbacks of using detection tools for AI-generated text in academic settings.

Vor der EU-Wahl: Die Chatbots Google Gemini, Microsoft Copilot und ChatGPT beantworten politische Fragen häufig gar nicht oder falsch.

Generative AI finally puts the computer in a place a certain kind of technologist has always wanted it to be: an inscrutable oracle, whose operations cannot be questioned even when they produce output that is painfully, obviously wrong

What assessment bots mean for the future of grading

Amazon.com Inc's <AMZN.O> machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

noyb today filed a complaint against the ChatGPT maker OpenAI with the Austrian DPA

Pressure grows on artificial intelligence firms over the content used to train their products

Northern Virginia is grappling with the environmental effects of a booming data-center empire.

Just not in *exactly* the way you might think.

Große Anbieter schrauben klammheimlich ihre Erwartungen zurück, Start-ups machen kein Geld, und dahinter steht ohnehin meist Big Tech. Viele zentrale Fragen sind weiterhin offen

Das Projekt "Synthetic Memories" soll Familien auf der ganzen Welt dabei helfen, eine Vergangenheit wiederzuerlangen, die nie per Kamera ...

AI can be kind of useful, but I'm not sure that a "kind of useful" tool justifies the harm.

Attached: 4 images Adobe Firefly GenAI won’t let users generate image of person giving the “middle finger” but it does allow the “center finger”

From zero to ChatGPT

Epistemic status: pretty uncertain. There is a lot of fairly unreliable data in the literature and I make some pretty crude assumptions. Nevertheless, I would be surprised though if my conclusions are more than 1-2 OOMs off though. The brain is currently our sole example of an AGI. Even small...

With the rise of generative AI and no-code/low-code tools, will developers still need to learn how to code?

The new era of tech seems to be built on superstitious behaviour

(Bild: frei lizenziert) Erfahre warum US-Sicherheitsbehörden die Nutzung von Microsoft Copilot untersagen und wie Microsoft darauf reagiert. Alle Details hier.

Attached: 1 video Sam Altman tells a room full of VCs with a straight face that he will take billions of their money, build AGI, and then ask it how to generate a return! — OpenAI business plan.

Unpaid bills, bungled contracts and a disastrous meeting with Nvidia's kingmaker CEO. Inside the stunning downfall of Emad Mostaque.

According to Stanford researchers, large language models are not greater than the sum of their parts.

There are 100 billion individual neurons in the human brain. Working together, they allow us to make sense of, and move through, the world around us. Scientists have built replicas of the human brain with computers, but no one has ever successfully made a brain out of humans. On this episode, I’ll travel back to my hometown of Stilwell, Kansas, and turn it into a working brain!Available with YouTube Premium - https://www.youtube.com/premium/originals. To see if Premium is available in your country, click here: https://goo.gl/A3HtfP