Tag: lm
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OpenAI : Teen safety, freedom, and privacy
Source URL: https://openai.com/index/teen-safety-freedom-and-privacy Source: OpenAI Title: Teen safety, freedom, and privacy Feedly Summary: Explore OpenAI’s approach to balancing teen safety, freedom, and privacy in AI use. AI Summary and Description: Yes Summary: OpenAI’s strategies for ensuring teen safety, freedom, and privacy while using AI technologies underscore the vital importance of ethical considerations in the development…
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Docker: MCP Security: A Developer’s Guide
Source URL: https://www.docker.com/blog/mcp-security-explained/ Source: Docker Title: MCP Security: A Developer’s Guide Feedly Summary: Since its release by Anthropic in November 2024, Model Context Protocol (MCP) has gained massive adoption and is quickly becoming the connective tissue between AI agents and the tools, APIs, and data they act on. With just a few lines of configuration,…
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Anchore: Grant’s Release 0.3.0: Smarter Policies, Faster Scans, and Simpler Compliance
Source URL: https://anchore.com/blog/grants-release-0-3-0-smarter-policies-faster-scans-and-simpler-compliance/ Source: Anchore Title: Grant’s Release 0.3.0: Smarter Policies, Faster Scans, and Simpler Compliance Feedly Summary: Every modern application is built on a foundation of open source dependencies. Dozens, hundreds, sometimes thousands of packages can make up a unit of software being shipped to production. Each of these packages carries its own license…
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Unit 42: The Risks of Code Assistant LLMs: Harmful Content, Misuse and Deception
Source URL: https://unit42.paloaltonetworks.com/code-assistant-llms/ Source: Unit 42 Title: The Risks of Code Assistant LLMs: Harmful Content, Misuse and Deception Feedly Summary: We examine security weaknesses in LLM code assistants. Issues like indirect prompt injection and model misuse are prevalent across platforms. The post The Risks of Code Assistant LLMs: Harmful Content, Misuse and Deception appeared first…
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Tomasz Tunguz: How AI Tools Differ from Human Tools
Source URL: https://www.tomtunguz.com/tools-evolution/ Source: Tomasz Tunguz Title: How AI Tools Differ from Human Tools Feedly Summary: Now that we’ve compressed nearly all human knowledge into large language models, the next frontier is tool calling. Chaining together different AI tools enables automation. The shift from thinking to doing represents the real breakthrough in AI utility. I’ve…
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OpenAI : Addendum to GPT-5 system card: GPT-5-Codex
Source URL: https://openai.com/index/gpt-5-system-card-addendum-gpt-5-codex Source: OpenAI Title: Addendum to GPT-5 system card: GPT-5-Codex Feedly Summary: This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or…
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Slashdot: Anthropic Finds Businesses Are Mainly Using AI To Automate Work
Source URL: https://slashdot.org/story/25/09/15/1520249/anthropic-finds-businesses-are-mainly-using-ai-to-automate-work Source: Slashdot Title: Anthropic Finds Businesses Are Mainly Using AI To Automate Work Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a report highlighting the prevalent use of Anthropic’s AI software, Claude, primarily for automation in businesses, which raises concerns about the implications for jobs. The findings suggest a…
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Docker: The Nine Rules of AI PoC Success: How to Build Demos That Actually Ship
Source URL: https://www.docker.com/blog/ai-poc-success-rules/ Source: Docker Title: The Nine Rules of AI PoC Success: How to Build Demos That Actually Ship Feedly Summary: That study claiming “95% of AI POCs fail" has been making the rounds. It’s clickbait nonsense, and frankly, it’s not helping anyone. The real number? Nobody knows, because nobody’s tracking it properly. But…