model roundup

GPT 4

4 items · started 2026-06-07 · closed 2026-06-14

  1. A benchmark result that changes what we thought was possible for local persistent agent vector memory 9 min read 1 hour ago Press enter or click to view image in full size We ran VEKTOR Slipstream against LongMemEval this week and got a re…

  2. OpenAI’s fourth large language model (LLM), GPT-4, took an estimated 50 Gigawatt-hours to train, or the equivalent of 5,000 American homes‘ yearly power consumption. That was in 2023.

  3. AI models are rapidly getting better. The general public still hasn't seen the capabilities of Anthropic's Mythos model, which is already 4 months old at this point.

  4. Ask GPT-4 how many r’s are in “strawberry” and it will confidently say two. The right answer is three.

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