Timescale PRISM: Run 100M Vectors on 1/4th Postgres RAM
Timescale pg_vectorsearch and PRISM replace HNSW graphs with RaBitQ-quantized partitions, serving 100M vectors at 21ms on 128GB RAM with 51x faster builds.
Independent analysis, benchmarks, and field intelligence on AI models, chips, computing, and defence systems.
Timescale pg_vectorsearch and PRISM replace HNSW graphs with RaBitQ-quantized partitions, serving 100M vectors at 21ms on 128GB RAM with 51x faster builds.
Claude Sonnet 5.5 beats Muse Wonder on SWE-bench (57.2% vs 48.2%) while halving token costs ($2/$10 vs $4/$20) and avoiding Active Focus retry loops.
Cursor’s X Subscription bundles Grok for $30/mo but pushes Claude to API rates, causing an 800% monthly TCO spike for developers running coding agents.
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d1-omni-600M returns typed decisions without generated text. Image and audio scores need separate validation, with 30-second speech and input limits.
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Google launched Gemini 4 Argon with 1M output tokens, a 77.9% DeepSWE score, and $2/M input pricing. Here is our architectural and benchmark teardown.
pg-jev evaluates Postgres rows through a decision API. Batches of 20 and session caches change cost; LIMIT 3 does not guarantee three billed rows.
MiniCPM-V 4.7 reports 13+ tokens/s in 3GB phone memory. Expert loading, quantization and speculation explain why that is not its total weight size.