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Aleph Alpha: Braucht die deutsche Vorzeige-KI mehr Erziehung?
Aleph Alpha: Braucht die deutsche Vorzeige-KI mehr Erziehung?
Die KI der deutschen Firma Aleph Alpha gilt als vielversprechendstes Produkt Europas. Doch sie generiert rassistische Texte. Das könnte zum Problem in Anwendungen werden.
·zeit.de·
Aleph Alpha: Braucht die deutsche Vorzeige-KI mehr Erziehung?
KI aus Deutschland: Sprachmodell von Aleph Alpha liefert Hitler-Lob und Rassismus
KI aus Deutschland: Sprachmodell von Aleph Alpha liefert Hitler-Lob und Rassismus
Aleph Alpha aus Baden-Württemberg will OpenAI Konkurrenz machen. 500 Millionen Euro Investitionen hat es kürzlich eingesammelt, unter anderem von SAP. Das Problem: Das Sprachmodell der Firma erzeugt menschenverachtende Inhalte. Ein Beitrag zu mehr Transparenz, sagt die Firma.
·interaktiv.tagesspiegel.de·
KI aus Deutschland: Sprachmodell von Aleph Alpha liefert Hitler-Lob und Rassismus
ChatGPT is bullshit
ChatGPT is bullshit
Ethics and Information Technology - Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of...
·link.springer.com·
ChatGPT is bullshit
We now know who holds the most power in Apple's deal with OpenAI
We now know who holds the most power in Apple's deal with OpenAI

Brain genius Sam Altman appears to have masterfully negotiated a deal with Apple that results in no revenue for OpenAI. https://www.businessinsider.com/apple-holds-power-openai-deal-chatgpt-iphones-tim-cook-2024-6

Servicing Apple customers will place load on OpenAI which they’ll serve by buying more Azure capacity by spending the capital Microsoft invested in them (because they don’t have any other money — they have no pathway to profitability, they’re drawing down on capital to fund operations)

If Apple isn’t paying, this becomes another instance of OpenAI acting as a vehicle to recycle money from the “assets” side of Microsoft’s ledger to the “revenue” side, which pumps up its balance sheet and yields a higher stock price.

Which is, I’m increasingly convinced, the actual purpose of the OpenAI organization.

https://eigenmagic.net/@NewtonMark/112613151481476553

·eigenmagic.net·
We now know who holds the most power in Apple's deal with OpenAI
Kris (@isotopp@chaos.social)
Kris (@isotopp@chaos.social)
https://ollama.com/library/codestral Codestral is trained on a dataset of over 80 programming languages, including Python, Java, C, C++, JavaScript, Swift, Fortran and Bash. The model can complete coding functions, write tests, and complete any partial code using a fill-in-the-middle mechanism. https://mistral.ai/news/codestral/ codestral This is a 22B model, around 12 GB of memory. This is the largest my M2 mini 32 GB can do comfortably.
·chaos.social·
Kris (@isotopp@chaos.social)
LLMs und Bildgeneratoren* in der Schule – #KIBedenken
LLMs und Bildgeneratoren* in der Schule – #KIBedenken
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
·seagent.de·
LLMs und Bildgeneratoren* in der Schule – #KIBedenken
Hidde (@hdv@front-end.social)
Hidde (@hdv@front-end.social)
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
·front-end.social·
Hidde (@hdv@front-end.social)
Testing of detection tools for AI-generated text - International Journal for Educational Integrity
Testing of detection tools for AI-generated text - International Journal for Educational Integrity
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.
·edintegrity.biomedcentral.com·
Testing of detection tools for AI-generated text - International Journal for Educational Integrity
Jason Lefkowitz (@jalefkowit@vmst.io)
Jason Lefkowitz (@jalefkowit@vmst.io)
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
·vmst.io·
Jason Lefkowitz (@jalefkowit@vmst.io)
Der KI-Hype trifft auf die ersten Spuren von Realität
Der KI-Hype trifft auf die ersten Spuren von Realität
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
·derstandard.de·
Der KI-Hype trifft auf die ersten Spuren von Realität