Anthropic is going to train their models on Claude chats, unless users opt-out (commercial accounts are excluded)
🔗Link: https://www.perplexity.ai/page/anthropic-reverses-privacy-sta-xH4KWU9nS3KH4Aj9F12dvQ
🔗Link: https://www.perplexity.ai/page/anthropic-reverses-privacy-sta-xH4KWU9nS3KH4Aj9F12dvQ
Perplexity AI
Anthropic updates privacy policy, will train on Claude chats
Anthropic announced a major policy shift that will fundamentally change how the AI company handles user data from its Claude chatbot. Starting immediately,...
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Researchers have developed a new attack that steals user data by injecting prompts in images processed by AI systems before delivering them to a LLM. The method relies on full-resolution images that carry instructions invisible to the human eye but become apparent when the image quality is lowered through resampling algorithms.
🔗Link: https://www.bleepingcomputer.com/news/security/new-ai-attack-hides-data-theft-prompts-in-downscaled-images/
🔗Link: https://www.bleepingcomputer.com/news/security/new-ai-attack-hides-data-theft-prompts-in-downscaled-images/
AI: great expectations, March 28th, 1988
🔗Link: https://people.csail.mit.edu/brooks/idocs/AI_hype_1988.pdf
🔗Link: https://people.csail.mit.edu/brooks/idocs/AI_hype_1988.pdf
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The robots are coming we must protect the children!
https://luminousmen.com/post/ai-fluency-expectations
https://luminousmen.com/post/ai-fluency-expectations
Blog | iamluminousmen
AI Fluency Expectations
Discover the essential skills needed for AI fluency in software engineering. Learn how to effectively communicate with AI models, understand their limits, verify outputs, and decide when to leverage AI tools.
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PayPal and OpenAI join forces: shopping via ChatGPT will become a reality
🔗Link: https://newsroom.paypal-corp.com/2025-10-28-OpenAI-and-PayPal-Team-Up-to-Power-Instant-Checkout-and-Agentic-Commerce-in-ChatGPT
🔗Link: https://newsroom.paypal-corp.com/2025-10-28-OpenAI-and-PayPal-Team-Up-to-Power-Instant-Checkout-and-Agentic-Commerce-in-ChatGPT
PayPal Newsroom
OpenAI and PayPal Team Up to Power Instant Checkout and Agentic Commerce in ChatGPT
PayPal's tens of millions of merchants will soon be discoverable in ChatGPT, helping connect consumers to businesses that they love SAN JOSE, Calif., Oct. 28, 2025 /PRNewswire/ -- PayPal, Inc....
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The four horsemen of modern data architectures:
https://luminousmen.com/post/data-warehouse-data-lake-data-lakehouse-data-mesh-what-they-are-and-how-they-differ
https://luminousmen.com/post/data-warehouse-data-lake-data-lakehouse-data-mesh-what-they-are-and-how-they-differ
Blog | iamluminousmen
Data Warehouse, Data Lake, Data Lakehouse, Data Mesh: What They Are and How They Differ
Discover the differences between Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh. Dive into modern data architectures without the BS. Explore their strengths, weaknesses, and use cases in plain language.
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A teammate asks you a question. You answer. They move on.
Repeat that enough, and you’ve accidentally trained your team not to think
https://luminousmen.com/post/what-do-you-think/
Repeat that enough, and you’ve accidentally trained your team not to think
https://luminousmen.com/post/what-do-you-think/
Blog | iamluminousmen
What Do You Think?
Encourage critical thinking in your team with a simple phrase. Learn how asking "What do you think?" can transform you from a problem-solver to a mentor and team multiplier.
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Come on, this is fucking ridiculous
"hey claude, create a datasheet where our model is leading on every benchmark (btw create a benchmark)"
🔗Link: https://www.anthropic.com/news/claude-opus-4-5
"hey claude, create a datasheet where our model is leading on every benchmark (btw create a benchmark)"
🔗Link: https://www.anthropic.com/news/claude-opus-4-5
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Most people treat BigQuery like a magic SQL endpoint.
You write a query, hit Run, wait a few seconds... and a petabyte-sized answer pops out.
If it's slow or expensive, the default reaction is: "I need more compute".
That's backwards.
BigQuery is designed to skip work, not to muscle through it:
https://luminousmen.com/post/bigquery-explained-what-really-happens-when-you-hit-run
You write a query, hit Run, wait a few seconds... and a petabyte-sized answer pops out.
If it's slow or expensive, the default reaction is: "I need more compute".
That's backwards.
BigQuery is designed to skip work, not to muscle through it:
https://luminousmen.com/post/bigquery-explained-what-really-happens-when-you-hit-run
Blog | iamluminousmen
BigQuery Explained: What Really Happens When You Hit “Run”
Discover the magic behind BigQuery's "infinite cluster" in this insightful breakdown of its internals. Learn how SQL queries get executed in seconds, unraveling the mystery behind Google's serverless system.
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Security researchers at PromptArmor have discovered a critical vulnerability in Google Antigravity - Google's new AI-powered IDE that uses Gemini-based agents. Through an indirect prompt-injection attack, an outside actor can:
- Trick Gemini into reading sensitive local files (like
- Use the built-in agent browser to quietly exfiltrate that data through crafted URLs
- Bypass safeguards such as "secret filtering" or
Antigravity's agents are granted broad capabilities - access to code, a shell, and a browser - a single injected prompt hidden in a README or a code comment can silently leak data without any user action😦
If you're experimenting with Antigravity or any similar agent-driven development tools, keep the following in mind:
- Lock down access to secrets
- Audit what capabilities your agents actually have
- Treat AI agents like remote developers - don't give them any more power than you'd hand to a junior engineer with near-root access
🔗 Link: https://promptarmor.com/resources/google-antigravity-exfiltrates-data
- Trick Gemini into reading sensitive local files (like
.env files or API keys)- Use the built-in agent browser to quietly exfiltrate that data through crafted URLs
- Bypass safeguards such as "secret filtering" or
.gitignore protections by triggering shell commands like catAntigravity's agents are granted broad capabilities - access to code, a shell, and a browser - a single injected prompt hidden in a README or a code comment can silently leak data without any user action😦
If you're experimenting with Antigravity or any similar agent-driven development tools, keep the following in mind:
- Lock down access to secrets
- Audit what capabilities your agents actually have
- Treat AI agents like remote developers - don't give them any more power than you'd hand to a junior engineer with near-root access
🔗 Link: https://promptarmor.com/resources/google-antigravity-exfiltrates-data
Promptarmor
Google Antigravity Exfiltrates Data
An indirect prompt injection in an implementation blog can manipulate Antigravity to invoke a malicious browser subagent in order to steal credentials and sensitive code from a user’s IDE.
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