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DigitalNeuron

AI news

The latest developments in artificial intelligence — models, funding, chips, regulation and deployment.

Analysis: the price of AI keeps falling, so why are the bills going up?

Price per token has fallen sharply through better hardware, smaller distilled models and serving optimisations. Consumption has grown faster: longer contexts, reasoning models that generate far more tokens per answer, and agents that turn one user action into dozens of model calls. Falling unit prices with rising unit counts produce larger bills.

Updated 3 min read

Analysis: answer engines are rewriting how people find information — and how publishers get paid

Answer engines synthesise a response from several sources and show it above or instead of the traditional link list, so a query that once produced a visit can now be resolved without one. Publishers see impressions and citations rise while click-through falls, which breaks the advertising model that assumed every answer required a page view.

Updated 4 min read

Analysis: how far behind are open-weight models, really?

On common benchmarks the best open-weight models now sit close to frontier commercial models, and for many routine tasks the difference is not noticeable. The remaining gaps show up in long-horizon reliability, tool use, very long contexts and safety tuning — and in the operational work of running them yourself.

Updated 3 min read