2026-10-11 16:36 UTC

deepseek

band: warmmomentum: stable score: 0.281
temperature history

Episodes (12)

DeepSeek will follow Liang Wenfeng’s reported investor-meeting strategy by prioritizing open AGI model releases over major consumer or enterprise product expansion during its next release cycle.
expiredconvergesscott: medium
Independent evaluations will determine whether the production DeepSeek V4 Flash release delivers its reported large gains in agentic coding, terminal, and tool-use capability.
resolvednovelscott: none
Independent reruns will determine whether DeepSeek V4 Flash consistently outperforms GLM 5.2 and Kimi K3 on deterministic, long-running multi-application agent workflows.
expiredknownscott: medium
DeepSeek will implement its announced significant API price increase, materially narrowing its cost advantage for production LLM workloads.
resolvedconvergesscott: medium
Independent evaluations will determine whether DeepSeek V4 Pro 0813 offers capability, latency, or price-performance advantages sufficient to change frontier-model selection for production workloads.
expiredknownscott: medium
Independent use will determine whether DeepSeek’s first-party open harness provides a practical runtime for building reliable DeepSeek-based agents.
corroboratedconvergesscott: medium
Production usage will determine whether DeepSeek's peak and off-peak V4 API pricing materially shifts deferrable inference workloads toward lower-priced hours.
expiredconvergesscott: medium
Independent deployments will determine whether DeepSeek’s released Smallpond framework provides a practical lightweight data-processing stack for AI workloads using DuckDB and 3FS.
expirednovelscott: low
koalfied-coder claims a reproducible two-DGX-Spark setup runs DeepSeek Flash v4 at a sustained 67–84 tokens per second with fast prompt evaluation, making the model practically usable for high-throughput local inference.
expiredknownscott: medium
Reddit user Few_Painter_5588 reports that DeepSeek has soft-retired V4 Pro, potentially narrowing model availability for deployments that depend on that variant.
watchingknownscott: low
DeepSeek presents DeepJIT as a header-only C++20 JIT runtime for NVIDIA CUDA and Huawei Ascend, potentially providing a shared runtime foundation for dynamic compilation across the two accelerator platforms.
corroboratedconvergesscott: medium
A LocalLLaMA post claims DeepSeek now trains its models on Huawei Ascend 950 accelerators rather than NVIDIA hardware, and confirmation from DeepSeek or Huawei β€” or credible technical corroboration β€” would mark China's leading open-model lab's concrete shift off NVIDIA training silicon, while refutation marks another unverified echo.
corroboratedconvergesscott: medium

Trajectory notes