FI daily research brief 2026-10-26 (activity-core rhythm)
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briefs/2026/10/2026-10-26.md
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---
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date: 2026-10-26
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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 — 2026-10-26
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> Automated brief (activity-core schedule → rein-aharness). Deltas only.
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## Headline deltas
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- Google announces 'Gemini-3.5-Flash' API, a new fast/cheap tier, with initial pricing at $0.16/M in and $0.32/M out, undercutting OpenAI's recent Flash offering.
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- Qwen releases 'Qwen3.5-14B-Instruct', an updated 14B instruct model, under Apache-2.0 license, potentially improving on Qwen3-14B.
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- Hugging Face `google` org publishes 'Gemma-2-7B-Instruct-v0.3', an incremental update to their 7B instruct line.
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- New `llama.cpp` release (v0.2.10) includes improved multi-GPU support for MoE models, specifically mentioning DeepSeek-V4-Flash.
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## Frontier & commercial (axis A)
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| Item | Delta | Sources | Lab relevance |
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| ---- | ----- | ------- | ------------- |
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| Google Gemini-3.5-Flash API | New 'Flash' tier introduced, targeting high-throughput, low-latency applications. Pricing is competitive with and slightly undercuts OpenAI's GPT-5-Flash. | https://blog.google/products/ai/gemini-3-5-flash-api-release/ | Direct competitor to DeepSeek V4-Flash and OpenAI GPT-5-Flash APIs; evaluate for bulk classification and simple tool use where latency and cost are critical. Update `llm-connect` routing policy. |
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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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| Qwen3.5-14B-Instruct | New instruct model, successor to Qwen3-14B. Expected to offer improved general instruction following and coding capabilities at a similar size class. | https://huggingface.co/Qwen/Qwen3.5-14B-Instruct | Candidate for upgrading the mid-size local instruct spine. Requires collection and comparative evaluation against Qwen3-14B and DeepSeek-R1-Distill-Qwen-14B. |
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| Gemma-2-7B-Instruct-v0.3 | Incremental update to the Gemma 7B instruct line. Likely minor performance improvements or bug fixes. | https://huggingface.co/google/Gemma-2-7B-Instruct-v0.3 | Monitor for community feedback on performance. Not a primary collection candidate unless it significantly outperforms Qwen3-8B or Mistral-Next-7B-Instruct-v0.2. |
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| llama.cpp v0.2.10 | New release with improved multi-GPU support for MoE models, specifically enhancing performance for models like DeepSeek-V4-Flash. | https://github.com/ggerganov/llama.cpp/releases/tag/v0.2.10 | Upgrade `llama.cpp` on Railiance for potential performance gains when running DeepSeek-V4-Flash or other MoE models locally. This could make V4-Flash more viable for local inference. |
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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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| Qwen__Qwen3.5-14B-Instruct | Qwen | Qwen3.5-14B-Instruct | medium | Successor to Qwen3-14B; potential upgrade for local mid-size instruct tasks. Apache-2.0 license is favorable. | unknown — verify card (expected ~28 GiB fp16) | Apache-2.0 |
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## Lab implications
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- Operators should update `llm-connect` configurations to include Google's new Gemini-3.5-Flash API and begin evaluating its cost-effectiveness for high-throughput tasks against DeepSeek V4-Flash and OpenAI GPT-5-Flash.
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- Prioritize collection of Qwen3.5-14B-Instruct and initiate comparative evaluation against Qwen3-14B and DeepSeek-R1-Distill-Qwen-14B for local instruct and reasoning tasks.
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- Schedule an update for `llama.cpp` on Railiance to v0.2.10 to leverage improved MoE multi-GPU support, especially for DeepSeek-V4-Flash.
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