Tag: regulatory frameworks

  • The Register: White House bans ‘woke’ AI, but LLMs don’t know the truth

    Source URL: https://www.theregister.com/2025/07/24/white_house_wants_no_woke_ai/ Source: The Register Title: White House bans ‘woke’ AI, but LLMs don’t know the truth Feedly Summary: They can only enforce consistency based on their training The White House on Wednesday issued an executive order requiring AI models used by the government to be truthful and ideologically neutral.… AI Summary and Description:…

  • Scott Logic: Visualising the Trade Lifecycle – Phase 2: Refactoring with Cursor IDE

    Source URL: https://blog.scottlogic.com/2025/07/22/visualising-the-trade-lifecycle-phase-2-refactoring-with-cursor-ide.html Source: Scott Logic Title: Visualising the Trade Lifecycle – Phase 2: Refactoring with Cursor IDE Feedly Summary: In this instalment, I discovered that Cursor IDE transformed my chaotic multi-AI orchestra of wayward soloists into something rather more like a proper piano duet, successfully refactoring my 847-line monolith into modular components without the…

  • OpenAI : Model ML is helping financial firms rebuild with AI from the ground up

    Source URL: https://openai.com/index/model-ml-chaz-englander Source: OpenAI Title: Model ML is helping financial firms rebuild with AI from the ground up Feedly Summary: As part of our Executive Function series, Model ML CEO Chaz Englander discusses how AI-native infrastructure and autonomous agents are transforming financial services workflows. AI Summary and Description: Yes Summary: The text pertains to…

  • Slashdot: FDA’s New Drug Approval AI Is Generating Fake Studies

    Source URL: https://science.slashdot.org/story/25/07/23/2044251/fdas-new-drug-approval-ai-is-generating-fake-studies?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: FDA’s New Drug Approval AI Is Generating Fake Studies Feedly Summary: AI Summary and Description: Yes Summary: The text discusses concerns regarding the FDA’s use of an AI tool named Elsa, which is reportedly generating fake studies and misrepresenting research. This raises significant implications for public health and the…

  • Schneier on Security: Google Sues the Badbox Botnet Operators

    Source URL: https://www.schneier.com/blog/archives/2025/07/google-sues-the-badbox-botnet-operators.html Source: Schneier on Security Title: Google Sues the Badbox Botnet Operators Feedly Summary: It will be interesting to watch what will come of this private lawsuit: Google on Thursday announced filing a lawsuit against the operators of the Badbox 2.0 botnet, which has ensnared more than 10 million devices running Android open…

  • The Register: Meta declines to abide by voluntary EU AI safety guidelines

    Source URL: https://www.theregister.com/2025/07/18/meta_declines_eu_ai_guidelines/ Source: The Register Title: Meta declines to abide by voluntary EU AI safety guidelines Feedly Summary: GPAI code asks for transparency, copyright, and safety pledges Two weeks before the EU AI Act takes effect, the European Commission issued voluntary guidelines for providers of general-purpose AI models. However, Meta refused to sign, arguing…

  • The Register: Google plugs AI into nuclear reactor biz – what could possibly go wrong?

    Source URL: https://www.theregister.com/2025/07/16/google_westinghouse_ai_nuclear/ Source: The Register Title: Google plugs AI into nuclear reactor biz – what could possibly go wrong? Feedly Summary: Westinghouse taps Big G’s cloud smarts to speed up atomic plant builds and keep the grid humming While AI systems are known to spew wrong information and make up facts, Google and Westinghouse…

  • AWS News Blog: Announcing Amazon Nova customization in Amazon SageMaker AI

    Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/ Source: AWS News Blog Title: Announcing Amazon Nova customization in Amazon SageMaker AI Feedly Summary: AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across…