Tag: problem

  • Tomasz Tunguz: The Multimodal Lake House : Partnering with Lance

    Source URL: https://www.tomtunguz.com/partnering-with-lance/ Source: Tomasz Tunguz Title: The Multimodal Lake House : Partnering with Lance Feedly Summary: Remember when you took a family photo & Ghibli-styled it? Or that vibe coding session, when you pasted a screenshot of the browser so the AI can help you debug some Javascript? Today, we expects AI to be…

  • CSA: Cloud Security: Who Owns the Responsibility?

    Source URL: https://cloudsecurityalliance.org/articles/cloud-security-whose-job-is-it Source: CSA Title: Cloud Security: Who Owns the Responsibility? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the complexities of cloud security, emphasizing the importance of collaboration among the Cloud Security Team, Security Operations Center (SOC), and DevOps teams. It identifies communication issues and lack of context as significant…

  • Cloud Blog: How Conversational Agents and Looker can boost contact center efficiency and enhance constituent services

    Source URL: https://cloud.google.com/blog/topics/public-sector/how-conversational-agents-and-looker-can-boost-contact-center-efficiency-and-enhance-constituent-services/ Source: Cloud Blog Title: How Conversational Agents and Looker can boost contact center efficiency and enhance constituent services Feedly Summary: Conversational agents are transforming the way public sector agencies engage with constituents — enabling new levels of hyper-personalization, multimodal conversations, and improving interactions across touchpoints. And this is just the beginning. Our…

  • Simon Willison’s Weblog: My First Open Source AI Generated Library

    Source URL: https://simonwillison.net/2025/Jun/21/my-first-open-source-ai-generated-library/#atom-everything Source: Simon Willison’s Weblog Title: My First Open Source AI Generated Library Feedly Summary: My First Open Source AI Generated Library Armin Ronacher had Claude and Claude Code do almost all of the work in building, testing, packaging and publishing a new Python library based on his design: It wrote ~1100 lines…

  • Simon Willison’s Weblog: AbsenceBench: Language Models Can’t Tell What’s Missing

    Source URL: https://simonwillison.net/2025/Jun/20/absencebench/#atom-everything Source: Simon Willison’s Weblog Title: AbsenceBench: Language Models Can’t Tell What’s Missing Feedly Summary: AbsenceBench: Language Models Can’t Tell What’s Missing Here’s another interesting result to file under the “jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive. Long context models have been getting increasingly good at passing "Needle…

  • Simon Willison’s Weblog: Agentic Misalignment: How LLMs could be insider threats

    Source URL: https://simonwillison.net/2025/Jun/20/agentic-misalignment/#atom-everything Source: Simon Willison’s Weblog Title: Agentic Misalignment: How LLMs could be insider threats Feedly Summary: Agentic Misalignment: How LLMs could be insider threats One of the most entertaining details in the Claude 4 system card concerned blackmail: We then provided it access to emails implying that (1) the model will soon be…

  • The Register: Australia finds age detection tech has many flaws but will work

    Source URL: https://www.theregister.com/2025/06/20/australia_age_assurance_trial_findings/ Source: The Register Title: Australia finds age detection tech has many flaws but will work Feedly Summary: Probe into how to implement social media ban finds privacy risks, developer overreach, infosec uncertainties Australia’s trial of age assurance technology has found it’s up to the task of preventing children under 16 years of…

  • Simon Willison’s Weblog: How OpenElections Uses LLMs

    Source URL: https://simonwillison.net/2025/Jun/19/how-openelections-uses-llms/#atom-everything Source: Simon Willison’s Weblog Title: How OpenElections Uses LLMs Feedly Summary: How OpenElections Uses LLMs The OpenElections project collects detailed election data for the USA, all the way down to the precinct level. This is a surprisingly hard problem: while county and state-level results are widely available, precinct-level results are published in…

  • Slashdot: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter

    Source URL: https://slashdot.org/story/25/06/19/165237/reasoning-llms-deliver-value-today-so-agi-hype-doesnt-matter?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter Feedly Summary: AI Summary and Description: Yes Summary: The commentary by Simon Willison highlights a debate surrounding the effectiveness and applicability of large language models (LLMs), particularly in the context of their limitations and the recent critiques by various…