Experimental News Clipping Site

Tag: AI systems

  • OpenAI : Operator System Card

    —

    by

    Kurt Seifried
    in

    Source URL: https://openai.com/index/operator-system-card Source: OpenAI Title: Operator System Card Feedly Summary: Drawing from OpenAI’s established safety frameworks, this document highlights our multi-layered approach, including model and product mitigations we’ve implemented to protect against prompt engineering and jailbreaks, protect privacy and security, as well as details our external red teaming efforts, safety evaluations, and ongoing work…

  • OpenAI : Using Operator in line with our policies

    —

    by

    Kurt Seifried
    in

    Source URL: https://openai.com/policies/using-operator-in-line-with-our-policies Source: OpenAI Title: Using Operator in line with our policies Feedly Summary: Tips on how to respect Operator’s guardrails and ensure that all usage complies with ethical standards, legal requirements, and OpenAI’s Usage Policies. AI Summary and Description: Yes Summary: The text emphasizes the importance of adhering to ethical standards, legal requirements,…

  • Slashdot: AI Mistakes Are Very Different from Human Mistakes

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/01/23/1645242/ai-mistakes-are-very-different-from-human-mistakes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the unpredictable nature of errors made by AI systems, particularly large language models (LLMs). It highlights the inconsistency and confidence with which LLMs produce incorrect results, suggesting that this impacts…

  • Simon Willison’s Weblog: Trading Inference-Time Compute for Adversarial Robustness

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/trading-inference-time-compute/ Source: Simon Willison’s Weblog Title: Trading Inference-Time Compute for Adversarial Robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness Brand new research paper from OpenAI, exploring how inference-scaling “reasoning" models such as o1 might impact the search for improved security with respect to things like prompt injection. We conduct experiments on the…

  • Slashdot: Samsung’s Galaxy S25 Phones Once Again Lean Heavily on AI

    —

    by

    Kurt Seifried
    in

    Source URL: https://mobile.slashdot.org/story/25/01/22/2135233/samsungs-galaxy-s25-phones-once-again-lean-heavily-on-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Samsung’s Galaxy S25 Phones Once Again Lean Heavily on AI Feedly Summary: AI Summary and Description: Yes Summary: Samsung has introduced the Galaxy S25 series, enhancing the smartphones with advanced AI capabilities and large language models (LLMs) such as Google’s Gemini and its own Bixby. New features, including cross-app…

  • Slashdot: Anthropic Chief Says AI Could Surpass ‘Almost All Humans At Almost Everything’ Shortly After 2027

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/01/22/2122252/anthropic-chief-says-ai-could-surpass-almost-all-humans-at-almost-everything-shortly-after-2027?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic Chief Says AI Could Surpass ‘Almost All Humans At Almost Everything’ Shortly After 2027 Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the prediction by Anthropic CEO Dario Amodei that AI models could surpass human capabilities in nearly all tasks within the next few years.…

  • OpenAI : Trading inference-time compute for adversarial robustness

    —

    by

    Kurt Seifried
    in

    Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…

  • Slashdot: Google Invests Another $1 Billion in AI Developer Anthropic

    —

    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/01/22/1426231/google-invests-another-1-billion-in-ai-developer-anthropic?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Invests Another $1 Billion in AI Developer Anthropic Feedly Summary: AI Summary and Description: Yes Summary: Google is increasing its investment in AI startup Anthropic by an additional $1 billion, which positions the company as a significant player in the competitive landscape against OpenAI. This move reflects the…

  • Simon Willison’s Weblog: llm-gemini 0.9

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/llm-gemini/ Source: Simon Willison’s Weblog Title: llm-gemini 0.9 Feedly Summary: llm-gemini 0.9 This new release of my llm-gemini plugin adds support for two new experimental models: learnlm-1.5-pro-experimental is “an experimental task-specific model that has been trained to align with learning science principles when following system instructions for teaching and learning use cases" –…

  • Slashdot: Managing AI Agents As Employees Is the Challenge of 2025, Says Goldman Sachs CIO

    —

    by

    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/01/21/2213230/managing-ai-agents-as-employees-is-the-challenge-of-2025-says-goldman-sachs-cio Source: Slashdot Title: Managing AI Agents As Employees Is the Challenge of 2025, Says Goldman Sachs CIO Feedly Summary: AI Summary and Description: Yes Summary: The text discusses predictions from Goldman Sachs regarding the evolution of artificial intelligence (AI) in corporate environments, particularly focusing on the integration of AI as active participants…