FI daily research brief 2026-11-05 (activity-core rhythm)
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---
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date: 2026-11-05
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timezone: Europe/Berlin
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author: rein-aharness
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status: final
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sources_checked:
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- docs/sources-allowlist.md
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- automated field scan via llm-connect
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---
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# Freedom Intelligence Daily Brief — 2026-11-05
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> Automated brief (activity-core schedule → rein-aharness). Deltas only.
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## Headline deltas
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- DeepSeek-AI released `DeepSeek-V4-Flash-0731-Instruct`, an instruction-tuned variant of the existing V4-Flash-0731 MoE.
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- The new `DeepSeek-V4-Flash-0731-Instruct` is a ~304B / ~13B-active MIT MoE (~167 GiB), suitable for local instruction-following.
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- This new instruction-tuned model is a high-priority collection candidate, offering an immediate upgrade to the existing V4-Flash base model in the strategic reserve.
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- No other material deltas observed in frontier APIs, other open-weight releases, training methods, or harness updates.
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## Frontier & commercial (axis A)
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*(none)*
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## Edge / local / open (axis B)
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| Item | Delta | Sources | Lab relevance |
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| ---- | ----- | ------- | ------------- |
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| DeepSeek-V4-Flash-0731-Instruct released. | New instruction-tuned variant of the DeepSeek-V4-Flash-0731 base model. This provides a direct instruction-following capability for the already collected base MoE. | https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731-Instruct | Immediate upgrade for local instruction-following capabilities using the DeepSeek-V4-Flash architecture. This is a critical step to make the collected V4-Flash usable for agentic tasks. |
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## Training & specialization (axis C)
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*(none)*
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## Harness & fleet (axis D)
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*(none)*
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## Collection candidates
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| id | org | name | priority | reason | approx size | license |
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| -- | --- | ---- | -------- | ------ | ----------- | ------- |
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| deepseek-ai__DeepSeek-V4-Flash-0731-Instruct | deepseek-ai | DeepSeek-V4-Flash-0731-Instruct | high | Instruction-tuned version of the already collected DeepSeek-V4-Flash-0731 base model. Essential for practical local agentic and chat use cases. MIT license allows retention and local ops. | ~167 GiB (fp16) | MIT |
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## Lab implications
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- Prioritize the collection of `deepseek-ai__DeepSeek-V4-Flash-0731-Instruct` to enable instruction-following capabilities for the existing DeepSeek-V4-Flash-0731 base model in the strategic reserve. This will require a Glacier restore of the base model if not already staged.
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- Update the `inventory/catalog/deepseek-ai__DeepSeek-V4-Flash-0731__strategic.yaml` to reflect the availability of the instruction-tuned variant and potentially link to it as a primary use case.
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- Monitor DeepSeek-AI for further updates or smaller, more efficient instruction-tuned variants of this model, especially if the full ~167 GiB is challenging for immediate staging.
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