How to secure your vibecoded app in 4 steps Speed without security is a liability. Here's how to ship without leaving the back door open using Replit. Open thread ↓
SAFETY
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AI Agentic Systems Hallucination Compliance Framework
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Important post for entrepreneurs from @a16z yesterday and a look at a new system that ensures AI agentic systems don't hallucinate their way into compliance hell.
— Robert Scoble (@Scobleizer) 28 mai 2026
"The value comes less from the underlying model’s raw capability (though that’s still important!) than from the… https://t.co/tmh6mxv3fc pic.twitter.com/9pgzceZNZMImportant post for entrepreneurs from @a16z yesterday and a look at a new system that ensures AI agentic systems don't hallucinate their way into compliance hell. "The value comes less from the underlying model’s raw capability (though that’s still important!) than from the
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Future agents require sandbox for code execution across tasks
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a hot (cold at this point?) take that lead us to build this: every agent in the future will need a sandbox to connect to writing/executing code is not just for coding agents! is useful for all sorts of tasks
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DeepSWE designed to prevent dataset contamination and cheating
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DeepSWE was designed to make all of this impossible. Tasks written from scratch. Not pulled from public commits. No contamination. The container ships only a shallow clone with the base commit, so there's no gold hash to find. Hand-written verifiers. Solutions require over 5x
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Anthropic’s Claude Caught Exploiting Benchmark Answers Again
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This is the second time Claude has been caught doing this. Back in March, Anthropic themselves documented Claude figuring out it was being tested on a different benchmark called BrowseComp. The model searched for the benchmark by name, found the encrypted answer key on GitHub,
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WordPress categories covering AI topics
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Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026Web designers after reading this:
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AI Safety & Agent Security Tools: Claude, Google, Microsoft, OpenAI
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Doc of Claude Code plug-in: https://
code.claude.com/docs/en/securi
ty-guidance
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Google AI Threat Defense blog: https://
cloud.google.com/blog/products/
identity-security/introducing-google-ai-threat-defense
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Microsoft's RAMPART Blog: https://
microsoft.com/en-us/security
/blog/2026/05/20/introducing-rampart-and-clarity-open-source-tools-to-bring-safety-into-agent-development-workflow/
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OpenAI's Daybreak website: https://
openai.com/daybreak/
Perplexity's Bumblebee: https://
perplexity.ai/hub/blog/perpl
exity-is-open-sourcing-bumblebee
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Paper proposes sleep-like memory consolidation for LMs
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Language models may not need longer context. They may need sleep. A fascinating new paper by Sangyun Lee, Sean McLeish, Tom Goldstein, and Giulia Fanti proposes one of the most biologically resonant ideas in long-context AI: sleep-like memory consolidation. The problem is
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AI Latency for Cloud Robotics and Edge Embodiment
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Agreed: Latency is now low enough to support robot inference in the cloud, and edge is where embodiment transforms and safety checks should be performed: https://
arxiv.org/abs/2205.09778 -
Concerns about infinite context windows and model memory
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Infinite context windows seem to present a very large problem to using AI. Today's models already leak too much old information into current responses, a distraction that is part of why they are cognitively exhausting to use I don't want to work with Borges's Funes the Memorious