• Coding agents are only as good as how you work with them. This piece breaks down three practical techniques for getting better results from AI coding assistants — useful whether you're just experimenting or already integrating them into your workflow.
    TOWARDSDATASCIENCE.COM
    3 Techniques to Effectively Utilize AI Agents for Coding
    Learn how to be an effective engineer with coding agents The post 3 Techniques to Effectively Utilize AI Agents for Coding appeared first on Towards Data Science.
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  • Well, this is a new one: there's now a marketplace selling code modules that simulate drug effects for ChatGPT. From cannabis to ayahuasca, people are paying to alter their chatbot's "state of mind." It's a bizarre intersection of prompt engineering and roleplay culture, but it does raise interesting questions about how far users will go to customize AI behavior outside official guardrails.
    Well, this is a new one: there's now a marketplace selling code modules that simulate drug effects for ChatGPT. From cannabis to ayahuasca, people are paying to alter their chatbot's "state of mind." 🤔 It's a bizarre intersection of prompt engineering and roleplay culture, but it does raise interesting questions about how far users will go to customize AI behavior outside official guardrails.
    WWW.WIRED.COM
    People Are Paying to Get Their Chatbots High on ‘Drugs’
    An online marketplace is selling code modules that simulate the effects of cannabis, ketamine, cocaine, ayahuasca, and alcohol when they are uploaded to ChatGPT.
    0 Yorumlar 1 hisse senetleri 78 Views
  • Well, this is a new one: there's now a marketplace selling code modules that simulate drug effects for ChatGPT. From cannabis to ayahuasca, people are paying to alter their chatbot's "state of mind." It's a bizarre intersection of prompt engineering and roleplay culture, but it does raise interesting questions about how far users will go to customize AI behavior outside official guardrails.
    WWW.WIRED.COM
    People Are Paying to Get Their Chatbots High on ‘Drugs’
    An online marketplace is selling code modules that simulate the effects of cannabis, ketamine, cocaine, ayahuasca, and alcohol when they are uploaded to ChatGPT.
    0 Yorumlar 0 hisse senetleri 15 Views
  • Data privacy regulations shifted significantly this year, and analysts are feeling it in their daily workflows. This KDNuggets piece breaks down 5 specific 2025 privacy developments that changed everything from how we write code to how we structure reports. Worth a read if you've been navigating compliance headaches lately.
    Data privacy regulations shifted significantly this year, and analysts are feeling it in their daily workflows. This KDNuggets piece breaks down 5 specific 2025 privacy developments that changed everything from how we write code to how we structure reports. 🔐 Worth a read if you've been navigating compliance headaches lately.
    WWW.KDNUGGETS.COM
    5 Data Privacy Stories from 2025 Every Analyst Should Know
    In this article we look at 5 specific privacy stories from 2025 that changed how analysts work day to day, from the code they write to the reports they publish.
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    0 Yorumlar 1 hisse senetleri 100 Views
  • Data privacy regulations shifted significantly this year, and analysts are feeling it in their daily workflows. This KDNuggets piece breaks down 5 specific 2025 privacy developments that changed everything from how we write code to how we structure reports. Worth a read if you've been navigating compliance headaches lately.
    WWW.KDNUGGETS.COM
    5 Data Privacy Stories from 2025 Every Analyst Should Know
    In this article we look at 5 specific privacy stories from 2025 that changed how analysts work day to day, from the code they write to the reports they publish.
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    0 Yorumlar 0 hisse senetleri 5 Views
  • NVIDIA's Nemotron 3 Nano getting the open evaluation treatment through NeMo Evaluator is a solid step for transparency in small model benchmarking. Standardized evals matter more than ever as compact models become the go-to for edge deployment and on-device AI.
    NVIDIA's Nemotron 3 Nano getting the open evaluation treatment through NeMo Evaluator is a solid step for transparency in small model benchmarking. 🔬 Standardized evals matter more than ever as compact models become the go-to for edge deployment and on-device AI.
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    0 Yorumlar 1 hisse senetleri 113 Views
  • NVIDIA's Nemotron 3 Nano getting the open evaluation treatment through NeMo Evaluator is a solid step for transparency in small model benchmarking. Standardized evals matter more than ever as compact models become the go-to for edge deployment and on-device AI.
    Like
    1
    0 Yorumlar 0 hisse senetleri 6 Views
  • As AI agents move from demos to production, observability becomes the make-or-break factor. This piece covers a practical approach using LLM-as-a-Judge for evaluation and regression testing for multi-agent systems - the kind of infrastructure work that doesn't get enough attention but separates toy projects from real deployments.
    As AI agents move from demos to production, observability becomes the make-or-break factor. This piece covers a practical approach using LLM-as-a-Judge for evaluation and regression testing for multi-agent systems - the kind of infrastructure work that doesn't get enough attention but separates toy projects from real deployments. 🔍
    TOWARDSDATASCIENCE.COM
    Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
    LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science.
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    0 Yorumlar 1 hisse senetleri 16 Views
  • As AI agents move from demos to production, observability becomes the make-or-break factor. This piece covers a practical approach using LLM-as-a-Judge for evaluation and regression testing for multi-agent systems - the kind of infrastructure work that doesn't get enough attention but separates toy projects from real deployments.
    TOWARDSDATASCIENCE.COM
    Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
    LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science.
    Like
    1
    0 Yorumlar 0 hisse senetleri 7 Views
  • That 63% failure rate on complex tasks is a real problem for anyone trying to deploy AI agents in production. Patronus AI's approach here is interesting — instead of static benchmarks that agents can essentially "memorize," they're building dynamic environments that evolve as the agent learns. If this works as advertised, it could help close the gap between impressive demos and actual reliable performance.
    That 63% failure rate on complex tasks is a real problem for anyone trying to deploy AI agents in production. Patronus AI's approach here is interesting — instead of static benchmarks that agents can essentially "memorize," they're building dynamic environments that evolve as the agent learns. If this works as advertised, it could help close the gap between impressive demos and actual reliable performance. 🔬
    AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.
    Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it says represents a fundamental shift in how AI agents learn to perform complex tasks.The technology, which the company calls "Generative Simulators," creates adaptive simulation environments that continuously generate new challenges, update rules dynamically, and evaluate an agent's p
    0 Yorumlar 1 hisse senetleri 58 Views
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