AI Inference Costs Have Plummeted
BlackHC · x · 2026-07-16
The author rebuts the claim that "AI is the worst technology," providing two core counterarguments:
- For GPT-3.5-level performance, inference costs dropped from $20 per million tokens in November 2022 to $0.07 in October 2024, a roughly 286x decrease
- Epoch estimates suggest that at a fixed capability level, costs are halved approximately every 2 months
They also point out that frontier model parameter sizes haven't just kept growing:
- During the GPT-4 era, sizes reached around 1.8T parameters
- Since then, frontier models have actually shrunk; for example, GPT-4o and Claude 3.5 Sonnet are estimated to have fewer parameters
The conclusion is that efficiency work is indeed happening, a fact ignored by the original article.
Related event: BlackHC Rebuts the “AI Is the Worst Technology” Thesis(5 posts)→
More from Infra
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11
- PyTorch Day Korea 2026 launches first offline conf, CFP closes Sept 13 — PyTorch · 2026-09-11
- Local LLM server dilemma: 4x CMP-170HX (price up 53% in 20 days) vs Mac Studio M5 Ultra — rumboll · 2026-09-11
- llama.cpp lands Flash Attention tuning for RDNA4, big prefill gains on AMD — pmttyji · 2026-09-11