British Columbia sues OpenAI, Altman over Tumbler Ridge shooting
We haven't written up this one. Seeking Alpha News has the full story — the link below goes straight to it.
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Leuven-based Spott raises €18.3 million to build the AI-native operating system for recruitment agencies
Spott, a Leuven-based AI-native applicant tracking system (ATS) and customer relationship management (CRM) platform for recruitment agencies, has raised €18.3 million ($21 million) in a Series A…
Why I stopped trusting model recall and built retrieval instead
Most AI assistants answer from what the model "remembers" from training. That's fine for trivia. It's not fine when the answer has to match a company's actual, current material, and the model just…
TacnIQ.ai raises US$1.5M to teach machines the language of touch
For all the recent progress in artificial intelligence, most machines still struggle with something humans learn as children: touch.
Observability in Microsoft Foundry: Tracing Agent Runs, Continuous Evaluation, and the OpenTelemetry Data Plane
Day 10 of the Microsoft Foundry 100 Days / 100 Blogs series. You shipped an agent. It calls a model, invokes two tools, retrieves a few documents, and returns an answer. It works in your dev loop.
- Microsoft Foundry uses OpenTelemetry for distributed tracing, metrics, and logs.
- Traces represent a single request's journey through the system, identified by a traceid.
- Foundry exports traces to Azure Monitor Application Insights for unified observability.
Pinoy creator Vee Camallere showcases CapCut Director Mode for AI filmmaking in Singapore
At CapCut World Singapore, CapCut presented how CapCut Video Studio brings these stages into one connected workspace.
5 Guardrails That Keep an LLM Agent Shippable in Production
An LLM agent that demos well and an LLM agent that survives production are almost different projects. The demo needs the happy path. Production needs everything else.
- Limit agent to small set of tools with typed inputs and server-side validation
- Place human in the loop for high-stakes actions, establish clear threshold
- Build evaluation harness with real cases for every change