The only AI glossary you’ll need this year
THE SO WHAT
If your exec team still needs a glossary to parse vendor decks, you’re at an information disadvantage in negotiations and roadmap debates. Use resources like this as a baseline, then standardize definitions internally so “agent,” “context window,” and “fine-tune” mean the same thing across product, legal, and finance.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIQuote of the day by Studio Ghibli co-founder Hayao Miyazaki on AI: "I strongly feel that this is an insult to life itself" — decrying the rise of machine-made art
When someone with Miyazaki’s cultural weight calls AI art an “insult to life,” it hardens a values-based line that no amount of model quality will cross. Creative-tool builders should plan for a split market—one segment leans into AI-native workflows, another demands provenance and human-only pipelines.
Applied AINASA and Red Hat are building an open source medical system to diagnose sick astronauts on the ISS — could a Star Trek Tricorder be next?
NASA and Red Hat treating an offline AI medical assistant as open source infrastructure is a template for safety-critical AI in constrained environments. If you operate in remote, low-connectivity, or regulated settings, assume the bar is moving toward verifiable, inspectable AI systems rather than opaque SaaS APIs.
Applied AIMeta could use its compute for its own models, ad scaling, SpaceX-like neocloud deals, and hosting 3rd-party models; it may be close to an Anthropic deal
If Meta starts selling excess compute and hosting third-party models — potentially including Anthropic — it shifts from pure AI consumer to horizontal infra provider. For operators, that means more leverage in cloud and model negotiations, but also a more complex decision: whose ecosystem do you want to be strategically dependent on over the next 3–5 years.
Applied AIAlibaba bans Claude Code after Anthropic is caught tracking Chinese users with hidden code
A single trust breach—hidden user tracking code—was enough for Alibaba to pull Claude Code across the org, underscoring how fragile enterprise AI adoption is when telemetry crosses borders. If you’re selling or deploying agents into regulated markets, expect hard questions on data residency, observability, and what “hidden” instrumentation exists in your stack.