LLMs

Cisco reports 85% of enterprises pilot AI agents but only 5% reach production. Benchmark the trust gap across reliability, observability, and governance.

Route test-time compute by difficulty: match best-of-16 accuracy within 0.01 points at 58.9% fewer tokens with calibrated early stopping and halved latency.

Settle the stuff-vs-retrieve debate with measurements: 8K effective windows lose to graded RAG, and a Self-Route hybrid holds quality at 34% of cost.

Compare BFCL v4 scores per dollar — Opus 77.5% vs Haiku 68.7% vs GLM-4.6 value — and deploy a cheap-first router that keeps 98.6% accuracy at 16% cost.

Settle Claude Code versus Gemini 3.8 Flash with Terminal-Bench version truth, DeepSWE near-tie math and a task-shape routing rule for production.

Compare FP8, BF16 and INT4 on 100K-token local agent replays with KV-cache tests that explain tool-call breaks and halve GPU memory in production.

Discover how reasoning models waste tokens on tool calls and how hybrid routing to instruct models cuts agent bills by 5x with zero accuracy loss.

The Multi-Agent LLM Financial Trading Framework that scored 75 points on Hacker News uses four specialized LangGraph agents: market analysis, risk scoring, trade execution, and audit. This article provides full benchmark analysis across 6 months of backtesting, comparing the multi-agent approach against traditional quant strategies, single-agent bots, and buy-and-hold baselines.

The 47-point HN story 'The VMs Powering Mobile Agents' revealed that Firecracker microVMs are the critical infrastructure behind reliable mobile coding agents. This article provides the full architectural analysis: sub-second cold starts (125ms boot, 475ms total), hardware-level isolation preventing state leakage, and the warm-pool pattern that enables 150ms task-to-task switching.

Arm's Mali G2-Ultra NX GPU, trending at 58 points on Hacker News, brings AI-native graphics to mobile with dedicated transformer execution units, on-device LLM inference at 15 tok/s, and desktop-class mobile gameplay. Full architecture analysis and benchmarks against Apple's A19 GPU and Qualcomm's Adreno 860.

Mistral's €3B Series D at €21B+ valuation — the largest European tech fundraising round — marks the definitive shift from closed to sovereign open-weight AI. Analysis of the economics: data control premiums, vLLM inference cost comparisons, and enterprise deployment patterns across Mistral's full stack.

Anthropic's donation of the Model Context Protocol to the Agentic AI Foundation is the biggest protocol governance move since HTTP/2 went to the IETF. This analysis breaks down the 872-point HN story: what changes, who controls MCP now, and why it matters for every AI developer.