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LLM for Customer Service and Support Applications
Customer service pipelines are among the most demanding LLM workloads in production. A single suppor…
Superconductor review: the cleanest way I've found to run AI agents in parallel
I use Claude Code every single day. At my day job, it's my main agent, and I've talked plenty about …
Using LLM for Social Media Monitoring and Analysis
What we are building Community managers and product teams need to catch negative sentiment and bugs…
AI-Powered Policy Scans: Automating Gap Detection for Independent Agents
We need to write a 400-500 word Dev.to article. Must be within that range. Let's target ~440 words. …
A Framework For Contrastive Self-Supervised Learning And Designing A NewApproach
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Hack The Box: Silentium Walkthrough
Executive Summary Silentium is a high-quality machine that demonstrates the severe consequences of…
AI coding agents are writing your database migrations. Here is why they break production.
TL;DR: Three independent data points converge. Frontier LLMs score only 10 to 24 percent on realisti…
Anthropic's CB-2 Gap Shows Biorisk Thresholds Need Intermediate Warning Levels
Anthropic deployed protections for Mythos 5 despite CB-2 not being crossed. The gap reveals a struct…
Zalando Introduces MLLM-Based Evaluation for Product Retrieval
Zalando presents a multimodal LLM-based evaluation for product retrieval, aiming to enhance search r…
Deploying GLM-5.2-FP8 (700B MoE) on Modal: Serverless 8x H200s, Trade-offs, and Lessons Learned
The release of GLM-5.2 by Zhipu AI is a significant development in open-weights AI: a Mixture-of-Exp…
Human-in-the-Loop Database Migrations: Approving What the Agent Wants to Run
TL;DR: "Database changes should require human approval" is good advice that tells you nothing about …
Detecting brand impersonation in Spanish SMS — the position trick
Detecting brand impersonation in Spanish SMS — the position trick Phishing in Latin America has a …