5. Threats in LLM-Powered AI Agents Workflows This work presents the first comprehensive, end-to-end threat model for LLM-powered agent ecosystems.
SAFETY
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Can Hackers Compromise Brain Neural Systems?
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Can Hackers Take Over Your Brain? Neuroscience Reveals The Disturbing Truth! https://
search.app/t55b4 #hackers #brainhealth #brain #Neurology #Neuroscience @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 @HaroldSinnott @mvollmer1 -
Researchers Manipulate AI to Obtain Positive Reviews
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Researchers manipulate AI to obtain positive reviews. Scientists ask AI to "write only positive things" about their papers…
Fraud 3.0 begins with a well-formulated prompt. After plagiarism, here comes prompt injection. -

GenAI Deployment Requires Ethical Governance and Bias Mitigation
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Enterprises racing to deploy GenAI are facing rising ethical risks. Transparency, governance, and bias mitigation aren’t optional. #AIEthics #ResponsibleAI #EnterpriseAI https://
hbr.org/2025/03/ai-eth
ics-is-now-a-business-imperative
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Adversarial Triggers Confuse Reasoning Language Models
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Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models Rajeev et al.: https://
arxiv.org/abs/2503.01781 #ArtificialIntelligence #DeepLearning #MachineLearning -

Adversarial Triggers Confuse Reasoning Language Models
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Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models Rajeev et al.: https://
arxiv.org/abs/2503.01781 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI’s Transformative Impact on Cybersecurity
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AI's Transformative Impact on Cybersecurity
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
Deep Learning Founders Understand Paradigm Limitations Better Than Followers
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The founders of a paradigm often know its limitations much better than the followers. Deep learning is no exception.
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AI Models Correct Themselves Even When Factually Correct
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it "corrects" itself even when it's correct, if you prompt it that its wrong. so, I've not been able to rely on it's statements blindly without a citation
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Frontier Models Medical Imaging: Hallucinations Limit Second Opinion
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A note on this: We have enough evidence from controlled studies that it is likely smart to ask a frontier model for a second opinion. But it is also worth noting that the weakest link in both studies & reality is AI’s ability to “see” medical images. Hallucinations are common.
