Fun! "It appears that, even though the model predicts the same make/model for all of the images, the background can influence the predicted price by almost $10k!" Haha, neural nets are happy and eager to take advantage of all the easy correlations you allow them to latch on to 🙂
SAFETY
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NVIDIA Releases Extended Model Cards for Trustworthy AI
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We made further headway towards enabling trustworthy AI at scale. We released extended model cards at @nvidia with model-specific information concerning bias, explainability, privacy, safety, and security.
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Generative AI Safety Debate: Open versus Closed Models
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10. Open or Closed: Negative applications and real-world vulnerabilities of Generative AI will come to the fore. This will fuel the debate around ‘safety’ and whether these technologies should be open or closed.
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AI Model Behavior with Inappropriate Prompts and Content Filtering
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I’m pretty sure that happens for inappropriate content at least. If you construct a prompt that looks benign in isolation but produces offensive output it spins for an unusually long time before saying “Sorry, can’t do that.”
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AI Tools Reliability: Understanding Current Limitations and Accuracy
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Es literal lo primero que te dice la propia herramienta cada vez que la vas a utilizar. Por ahora, no es una herramienta pensada para ser 100% correcta en sus respuestas.
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LangChain v0.052 Adds Watch Mode Tests Agent Security
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v0.052 Add watch mode for tests – @nfcampos Add schema property to SQL DB class – @diwanksingh Propagate verbose flag to combine-document chains – @parth_29 Add max_iterations kwarg to agent executor, in part to stop attacks like the below
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Reverse Prompt Engineering: Notion AI Security Analysis Techniques
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Prompt injection is entertaining, but harmless! https://
lspace.swyx.io/p/reverse-prom
pt-eng
… Presenting the 7 techniques I used to "reverse prompt engineer" the public alpha of Notion AI in 2 hours… and why everyone is **wrong** about the dangers of prompt injection -
ChatGPT Cannot Distinguish True from False Statements
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ChatGPT doesn’t know the difference between a true statement and a false one.
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AI image generation bias: golden retrievers as blonde women
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Also interesting how AI repeatedly generates blonde women with long hair if you ask for a golden retriever, makes sense I guess
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Training AI Models with Web Scraped Data: Ethical Concerns
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*entrenar IAs con datos scrappeados de internet, aunque se entiende.