Is AI Actually Helping? The 3 Numbers
The three metrics that actually measure AI impact on an engineering team.
One engineering idea in about sixty seconds: AI and LLMs, voice tech, chips and infra, and the fixes that save an afternoon. New ones land daily on @teqnersinsights. Swipe or use the arrows to browse.
The three metrics that actually measure AI impact on an engineering team.
METR study: developers estimated AI made them +20% faster — measured result was −19% slower.
The three permission gates that keep autonomous coding agents away from production.
Layoffs cluster in output-producing roles. The layoff-proof skill is judgment.
Managers crediting AI for human work — and the decision log that protects you.
The moat was never the chip — it's 18 years of software everyone builds on.
Chinese-origin models now handle 46% of routed tokens on OpenRouter — more than every US model combined.
Training vs inference economics, and why custom ASICs are growing 3× faster than GPUs.
Even the best model is correct AND secure only ~38% of the time on security-critical tasks.
First ransomware run end-to-end by an AI agent — 600+ payloads, no human in the loop.
More tech job cuts in 6 months than all of last year — and which roles go first.
How LLMs are sliced across GPUs — pipeline bubbles, micro-batching, tensor parallelism.
Acoustic side-channel attacks: AI recovers what you type from keystroke sounds.
Why ffmpeg silently drops streams and the -map flag that stops it.
The anti-spoofing arms race and three defenses that still hold.
Why Whisper timestamps drift on long audio and the two fixes that work.
Zero-shot voice cloning, the $25M deepfake heist, and 3 protection rules.
How speaker recognition works — channel attention, statistics pooling, <1% EER.
Fake error reports hijack coding agents with an 85% exploitation rate.
Ford replaced veteran QA engineers with AI, then rehired 350 to retrain it.
Siri rebuilt on Gemini — 1.2T params, $1B/year, 3-tier routing.
The three eras of AI coding and why loops beat prompts.
Why AI-only devices flopped and the hybrid GUI + GenUI + Agent future.
OpenAI's first custom inference ASIC — and why it beats Blackwell on perf/watt.
What you can build with Claude Artifacts — games, dashboards, live tools.
Why Whisper hallucinates on silence and the 3-line fix.
Audio → mel-spectrogram → encoder → decoder, and why it works in 30s chunks.
These videos are produced with AI-assisted tooling for narration, graphics and rendering, and are based on real, sourced tech developments. Most have a longer companion article on this blog.