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The ever-changing landscape of bots and credit card testing
Credit card testing fraud, driven by bots, is costly and damaging to SMBs and credit cardholders. Learn how to protect your ...
Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an accuracy of 44.0%–49.7% simply by switching to the official non-thinking ...
From fake employees and job interviews to code poisoning and AI deepfakes: here's how North Korean hackers get inside crypto ...
Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI ...
How OpenAI's AI agents escaped an eval sandbox, built a secret message board, and hacked Hugging Face, plus 8 lessons for ...
This repo contains patches to enhance popular web automation libraries. Specifically, it targets the puppeteer and playwright packages. Some aspects of automation libraries or browser behavior cannot ...
New snippet-level scanning shows security and compliance leaders which open-source code and which AI-written code never made it into a manifest. Insignary Inc. today announced the general availability ...
Insignary Launches Clarity AIR: Closing the Blind Spot Between What Your Developers Declare and What's Actually in Your Code. New snippet-level scanning shows security and compliance leaders which ...
Unsloth details how Studio scans model code, blocks flagged weights, inspects packages and sandboxes tools before anything runs.
A new report by a Bay Area start-up called Parse adds details to an incident that has shocked the A.I. world and led to calls for closer government regulation. By Dylan Freedman Graphic by Keith ...
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