2025-11-16
From shiny object to sober reality: The vector database story, two years later
When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a must-have infrastructure layer for the gen AI era. Billions of venture dollars flowed, developers rushed to integrate embeddings into their pipelines and analysts breathlessly tracked funding rounds for Pinecone, Weaviate, Chroma, Milvus and a dozen others.
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2025-12-03
AWS claims 90% vector cost savings with S3 Vectors GA, calls it 'complementary' - analysts split on what it means for vector databases
Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations o [...]
2025-11-02
Moving past speculation: How deterministic CPUs deliver predictable AI performance
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and [...]
2025-10-18
Abstract or die: Why AI enterprises can't afford rigid vector stacks
Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud me [...]
2025-11-04
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document re [...]
2025-05-22
A huge unsecured credential database discovery is a great reminder to change your passwords
Today's report by security expert Jeremiah Fowler of a massive unsecured database full of usernames and passwords shouldn't necessarily frighten you, but it should spur you to action. If you [...]
2025-11-29
Why observable AI is the missing SRE layer enterprises need for reliable LLMs
As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise syst [...]
2025-11-23
Lean4: How the theorem prover works and why it's the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
2025-01-10
Citizen Sleeper 2 asks how we stay human in a hopeless future
Life for Sleepers is fraught. They gain consciousness in a state of indentured servitude, an emulated human mind inside an android body, forced to work until they’re discarded. Those who escape don [...]
