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Introducing ClickHouse Observability: fully managed observability with the speed and scale of ClickHouse. Just send telemetry; we'll handle the rest. Plus, build the observability experience you've always wanted with a simple prompt in Observability Apps.
For several years, the conversation about enterprise artificial intelligence has focused on capability: which model is smartest and which GPU is fastest. That made sense when technology was the constraint. It isn’t anymore. AI can now do far more than most organizations will allow, and the gap is trust. That’s the core finding of “Permission […] The post Cisco research: Trust, not technology, is now the speed limit on enterprise AI appeared first on SiliconANGLE.
General, often expert, and sometimes jagged
Enterprises are moving beyond AI pilots, putting greater emphasis on governance, production readiness and measurable business outcomes. Research from Deloitte highlights a significant gap between enterprise AI ambition and execution: 54% of organizations plan to move at least 40% of their AI initiatives into production within six months. Yet only 25% have done so today. IBM […] The post IBM builds on hybrid cloud and governance to advance its enterprise AI operating model appeared first on SiliconANGLE.
ClickHouse Security, an agentic SIEM built on RunReveal and ClickHouse Cloud, is now in private preview, with AI agents, 100+ integrations and built-in detections running on your own ClickHouse service.
Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a...
A seven-layer composable reference architecture for taking enterprise agentic AI from prototype to production on Amazon Bedrock AgentCore. Each layer has a stable contract, so you can swap technologies at any layer without redesigning the rest of the stack.
Automate prompt engineering with Promptim's optimization library. Save time, improve AI performance, and switch models faster.
Article URL: https://faceanalysis.app/ Comments URL: https://news.ycombinator.com/item?id=50429010 Points: 1 # Comments: 0
Amazon Bedrock Managed Knowledge Base now supports single-shot RAG and retrieval-only requests through AgenticRetrieveStream, alongside agentic retrieval. This post explains how the maxAgentIteration parameter matches retrieval effort to each request, using an illustrative internal banking policy assistant.
FormAssembly Inc., a provider of online data collection and workflow automation software, today announced a complete platform overhaul that expands its capabilities beyond building forms to automating complex business processes using artificial intelligence. The new platform, which the company said took seven months to develop, combines form creation, workflow automation, integrations and compliance management in […] The post Exclusive: FormAssembly overhauls its platform to expand into AI-powered process automation appeared first on SiliconANGLE.
Article URL: https://github.com/infrixo-systems/rag-evaluation-starter Comments URL: https://news.ycombinator.com/item?id=50422943 Points: 1 # Comments: 0
Hi, this is a package I developed for keeping track of short toy-model development cycles and explaining what changed between runs.The core idea: commands run through the package, and their declared parameters (or injected parameters with --substitute) and outcomes go into a dependency-free ledger stored in the project. Because that ledger lives in the project directory, it has worked well for passing context between different agents. I’ve also found some use for it in CI work. Comments URL: https://news.ycombinator.com/item?id=50417782 Points: 3 # Comments: 0
HOPE, a second-order expert pruning method for Mixture-of-Experts (MoE) language models, accounts for pairwise expert interactions by optimizing a quadratic program based on an interaction matrix derived from calibration data. Unlike first-order methods that prune experts independently, HOPE preserves cooperative expert groups, leading to better performance—especially at high pruning rates like 50%. On benchmarks such as SWE-Bench Pro, HOPE outperforms state-of-the-art first-order methods like REAP by up to +6.1%, maintaining model quality while significantly reducing memory footprint. The method requires only a single calibration pass and efficient quadratic programming, with negligible overhead. It has been validated on Qwen3.5 and GLM-4.5 models, showing consistent improvements across diverse tasks and calibration sets.
Article URL: https://github.com/wainmann/agent-manager Comments URL: https://news.ycombinator.com/item?id=50406983 Points: 3 # Comments: 0
Article URL: https://github.com/Miyamoto-Renya/LaplacesScissors Comments URL: https://news.ycombinator.com/item?id=50409986 Points: 1 # Comments: 0
Article URL: https://github.com/laike9m/TheySay Comments URL: https://news.ycombinator.com/item?id=50407700 Points: 1 # Comments: 0
Article URL: https://github.com/alielmorsy/ywza Comments URL: https://news.ycombinator.com/item?id=50408730 Points: 1 # Comments: 0
The apps and platforms that help family caregivers manage their loved ones’ needs are becoming more capable, but the broader issue of caregivers’ well-being remains unsolved.
A laser scientist reviews the laser light cannon from the Steven Universe cartoon, including its highly unusual beam shape.
