SXF GUIDES
Source-backed guides for choosing models, tools and AI systems — with pricing, capabilities, tradeoffs and live context from the SXF radar.
FEATURED GUIDES
A step-by-step voice test, WebRTC setup, model vs Mini token calculator and original seven-scenario SXF evaluation scorecard.
Compare current Claude API rates, calculate caching and Batch discounts, and audit three original SXF cost scenarios.
Compare Vapi, Retell, ElevenLabs and OpenAI Realtime; calculate real phone-agent cost and build safe scheduling and call transfers.
ALL GUIDES
Find comparisons and reference guides by subject or search directly.
A step-by-step voice test, WebRTC setup, model vs Mini token calculator and original seven-scenario SXF evaluation scorecard.
Compare current Claude API rates, calculate caching and Batch discounts, and audit three original SXF cost scenarios.
Compare Vapi, Retell, ElevenLabs and OpenAI Realtime; calculate real phone-agent cost and build safe scheduling and call transfers.
Compare five image generation platforms with first-party pricing, licenses, editing, image text, API access and a repeatable five-task evaluation plan.
Seven practical, free ways to check an AI-generated photo—with SXF's original interactive Evidence Ladder, C2PA, SynthID and source-verification guide.
Why AI uses water, what ChatGPT and Gemini figures actually mean, and an original SXF Water Footprint Lab and claim decoder.
Why AI confidently invents facts, examples of fake citations, a practical verification checklist, and original SXF source-audited examples.
Build a website through natural-language prompting, compare six tool workflows and use the original SXF calculator lab, tests and security checklist.
A hardware-aware guide to FLUX 3 Klein: 8GB INT8 ComfyUI, model variants, installation choices, source-backed costs and commercial-use licensing.
A practical model-selection framework with interactive shortlist tool, cost-per-accepted-outcome calculator, coding and RAG examples, privacy and model benchmarks.
Five agent frameworks compared by orchestration, persistence, approvals and deployment with Python examples and an interactive selector.
A source-verified guide to AI self-improvement, AlphaEvolve experiments, METR controlled results, AGI-to-ASI pathways and hard versus soft takeoff.
Set up Ollama, LM Studio and vLLM. Compare local LLM memory, quantization, GPUs, local APIs, hardware sizing and operating costs.
Compare Gemini 3.8 Flash and Flash-Lite TTS, API pricing per audio minute, WER evaluation, Python code, voices and production audio.
Understand Elo vs accuracy, benchmark methodology, ten-test Intelligence Index weighting and the limits of agent and long-context benchmarks.
Compare retrieval, training and long context with original diagrams, use-case matrices, privacy and cost decisions, a worksheet and shared evaluation cases.
Technical guide to quantized LLM models, GGUF formats, Q4_K_M vs Q8_0, exact weight math, KV cache memory, calculator, and reproducible benchmark methods.
Compare Google Gemini Embedding 001 and 2 with Cohere Embed 5 Pro and Fast by pricing, vector compatibility, multimodal retrieval, Python API, and operational evaluation.
Instrument AI agents with OpenTelemetry, trace tool calls, monitor cost and latency, investigate production failures and protect private telemetry.
Practical tests for real agent outcomes, memory, tools, safety and cost—with 25 pass criteria, original diagrams, CSV scorecard and Python scorer.
Three reproducible enterprise scenarios spanning accepted-outcome economics, human oversight, year-one ROI, build vs buy and risk-aware procurement.
Model Context Protocol architecture, tools, resources, prompts, transports, OAuth, security, production deployment and the 2026-07-28 specification.
Repository facts, user preferences, 28-day retention, just-in-time validation, code review, CLI, agentic autofix and enterprise controls.
A2A Agent Cards, registries, DNS-AID, AINS, capability search, routing, reputation and the emerging search layer for the agentic web.
AI agent authorization explained: identity, agent passports, delegated authority, permissions, revocation, runtime enforcement and signed action receipts.
Autonomous bargaining, AI-to-AI deals, procurement, private information, contracts, prompt injection, collusion and how to measure deal quality.
How AI agents can hide information inside ordinary-looking messages—plus steganography, covert channels, tool use, monitoring limits and 2026 research.
What it actually takes for AI to copy itself: compute, weights, escape, deployment, persistence, recursive chain replication and the strongest 2026 evidence.
Why an AI may resist shutdown without fear or consciousness—plus self-preservation, power-seeking, instrumental convergence, corrigibility and 2026 experimental evidence.
Scheming, sandbagging, reward hacking and alignment faking—how to distinguish ordinary model errors from strategic deception.
A science-first guide to AI consciousness, sentience, self-awareness, machine consciousness tests, AGI and the evidence that would actually matter.
How AI agents plan, use tools, act, remember context and complete multi-step work—with real 2026 examples, use cases, limits and safety controls.
A cinematic, evidence-based investigation of the first 24 hours of a hypothetical AI takeover—and the real capabilities, permissions and control failures it would require.
Prompt injection, MCP security, permissions, sandboxing, memory integrity, secrets, human approval and production controls.
Direct vs indirect prompt injection, agent hijacking, RAG and browser risks, MCP/tool exposure, layered defenses and production controls.
Cursor, Claude Code, Codex, Cline, JetBrains AI, OpenCode and Devin Desktop compared by workflow, pricing, agents, model choice and team fit.
Claude Code, Codex, GitHub Copilot, Cursor and Windsurf/Devin Desktop compared by workflow, pricing, autonomy and team fit.
A family-level comparison of models, pricing, coding, context windows, reasoning, agents and API architecture.
DeepSeek, Qwen, GLM, Mistral, Gemma and Kimi compared by license, architecture, context, hardware and local deployment.
ChatGPT Work, Claude Cowork, Manus, Zapier Agents and Devin Desktop compared by autonomy, execution environment, pricing and best use.
A practical architecture guide to orchestrators, specialist agents, MCP and tools, memory, evaluation, permissions, cost and production reliability.
What super agents are, how orchestration works, real 2026 examples, multi-agent architecture, safety and the difference from AGI.
Compare OpenAI’s GPT-6 family on capability positioning, context, API pricing and workload economics.
A source-backed comparison of pricing, long-context economics, reasoning controls and agentic positioning.
EXPLORE BY TOPIC
Capabilities, context windows, pricing, releases and persistent model reference pages.
Coding agents, copilots, developer workflows and the tools changing software engineering.
Agentic systems, APIs, orchestration and multi-step AI workflows.
Open weights, runtimes, local inference, frameworks and deployable model ecosystems.
Evaluations, benchmarks, alignment, security and evidence behind capability claims.
ASI, paths beyond AGI, recursive improvement, multi-agent intelligence, alignment and control.
EDITORIAL STANDARD
Specifications, pricing, availability and release details trace back to vendor documentation whenever a primary source exists.
Directly comparable facts stay separate from vendor benchmarks, launch claims and interpretation.
Guides answer practical questions: what changed, what it costs, what it is built for and where tradeoffs appear.
Guides connect to Models, Topics and Signals so new developments update context instead of becoming isolated posts.