SAFETY

→ View original post on X — @andreasklinger

Teenager with AI Bot Could Destroy Your Company by 2026

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@andreasklinger

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19 December 2025 12h07

"""
During these beautiful holy days of relaxation with friends and food… Keep in mind that your company will be destroyed in 2026 by a bored teenager with a AI bot… from my family to yours, ~~ Kitze """

→ View original post on X — @mathworks

MathWorks Showcases AI Embedded Systems for Smart Vehicles

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@mathworks

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19 December 2025 10h00

Join MathWorks at #CES2026! See how we’re driving smarter, safer, more connected vehicles at Booth 4477: AI for Embedded Model-Based SDV Design Simulink Virtualization Digital Twins w/ Databricks Meet our experts: https://
spr.ly/6014CuYuK

→ View original post on X — @scobleizer

AI safety conference seeks answers to potential downsides, highlights benefits

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@scobleizer

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19 December 2025 3h16

I ran an AI safety conference. And I look for answers to potential downfalls. AI tech will save many lives and make our economy way more productive. So I start there.

→ View original post on X — @gdb

Chain-of-Thought Monitorability for AI Safety

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@gdb

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19 December 2025 0h19

New work on evaluating the quality of chain-of-thought monitorability. Chain-of-thought monitorability is a very encouraging opportunity for safety and alignment, making it easy to see what models are thinking:

Chain-of-thought monitoring as complementary mechanistic interpretability approach

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19 December 2025 0h06

We view chain-of-thought monitoring as complementary to mechanistic interpretability, not as a replacement for it. Because we believe that chain-of-thought monitoring is incredibly useful as a window into a model’s brain and could be a loadbearing layer in a scalable control

Chain-of-Thought Monitoring for Better Model Oversight

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19 December 2025 0h06

Monitoring a model’s chain-of-thought is far more effective than watching only its actions or final answers. The more a model “thinks” (longer CoTs), the easier it is to spot issues.

RL Reasoning Tradeoff: Monitorability vs Inference Compute

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19 December 2025 0h06

RL at today’s frontier doesn’t seem to wreck monitorability and can help early reasoning steps. But there’s a tradeoff: smaller models run with higher reasoning effort can be easier to monitor at similar capability — at the cost of extra inference compute (a “monitorability

Measuring Chain-of-Thought Monitorability in AI Models

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19 December 2025 0h06

To preserve chain-of-thought (CoT) monitorability, we must be able to measure it. We built a framework + evaluation suite to measure CoT monitorability — 13 evaluations across 24 environments — so that we can actually tell when models verbalize targeted aspects of their