https://mechanicalsnail.com/tags/ai/Recent content in AI on Mechanical Snailhttps://mechanicalsnail.com/images/logo.pnghttps://mechanicalsnail.com/images/logo.pngHugo -- 0.152.2en-usSat, 22 Nov 2025 10:00:00 +0100https://mechanicalsnail.com/posts/ai-financial-agent/Sat, 22 Nov 2025 10:00:00 +0100https://mechanicalsnail.com/posts/ai-financial-agent/The architecture of production AI trading systems: data pipelines, feature engineering, prediction models, risk management and backtesting under adversarial market dynamics.https://mechanicalsnail.com/posts/mcp-server-golang-social-media/Tue, 25 Mar 2025 10:00:00 +0100https://mechanicalsnail.com/posts/mcp-server-golang-social-media/Building a Model Context Protocol server in Go: JSON-RPC tool definitions, social graph traversal, role-based access control with inheritance, and idempotent moderation operations.https://mechanicalsnail.com/posts/neural-networks-rust/Tue, 18 Mar 2025 10:00:00 +0100https://mechanicalsnail.com/posts/neural-networks-rust/Neural networks from first principles in Rust: manual backpropagation, cache-friendly matrix operations, SIMD utilization, and where inference time is actually spent.https://mechanicalsnail.com/posts/ai-nordic-power-risk/Tue, 10 Dec 2024 10:00:00 +0100https://mechanicalsnail.com/posts/ai-nordic-power-risk/Machine learning risk models for Nordic power futures and Guarantees of Origin portfolios: why historical VaR underestimates fat tails and how ML captures non-linear weather dependencies.https://mechanicalsnail.com/posts/recommendation-systems-part6/Wed, 10 Jul 2024 14:00:00 +0100https://mechanicalsnail.com/posts/recommendation-systems-part6/Part 6 of 6: foundation models, LLMs and multimodal understanding in recommendation — what changes once the ranker can actually read the content it is ranking.https://mechanicalsnail.com/posts/recommendation-systems-part4/Wed, 10 Jul 2024 12:00:00 +0100https://mechanicalsnail.com/posts/recommendation-systems-part4/Part 4 of 6: amplification harms, filter bubbles, fairness metrics and the governance controls that keep large-scale recommendation systems accountable.https://mechanicalsnail.com/posts/recommendation-systems-part2/Wed, 10 Jul 2024 10:00:00 +0100https://mechanicalsnail.com/posts/recommendation-systems-part2/Part 2 of 6: ranking and re-ranking — pointwise, pairwise and listwise losses, Deep & Cross and Wide & Deep architectures, multi-task learning, diversity via MMR and DPP, and bandits.