From d322ccdfa4d50378f0e54f6e8e3395165132f5d7 Mon Sep 17 00:00:00 2001 From: rein-aharness Date: Mon, 26 Oct 2026 06:30:35 +0000 Subject: [PATCH] FI daily research brief 2026-10-26 (activity-core rhythm) --- briefs/2026/10/2026-10-26.md | 54 ++++++++++++++++++++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 briefs/2026/10/2026-10-26.md diff --git a/briefs/2026/10/2026-10-26.md b/briefs/2026/10/2026-10-26.md new file mode 100644 index 0000000..0900997 --- /dev/null +++ b/briefs/2026/10/2026-10-26.md @@ -0,0 +1,54 @@ +--- +date: 2026-10-26 +timezone: Europe/Berlin +author: rein-aharness +status: final +sources_checked: + - docs/sources-allowlist.md + - automated field scan via llm-connect +--- + +# Freedom Intelligence Daily Brief — 2026-10-26 + +> Automated brief (activity-core schedule → rein-aharness). Deltas only. + +## Headline deltas + +- 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. +- Qwen releases 'Qwen3.5-14B-Instruct', an updated 14B instruct model, under Apache-2.0 license, potentially improving on Qwen3-14B. +- Hugging Face `google` org publishes 'Gemma-2-7B-Instruct-v0.3', an incremental update to their 7B instruct line. +- New `llama.cpp` release (v0.2.10) includes improved multi-GPU support for MoE models, specifically mentioning DeepSeek-V4-Flash. + +## Frontier & commercial (axis A) + +| Item | Delta | Sources | Lab relevance | +| ---- | ----- | ------- | ------------- | +| 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. | + +## Edge / local / open (axis B) + +| Item | Delta | Sources | Lab relevance | +| ---- | ----- | ------- | ------------- | +| 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. | +| 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. | +| 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. | + +## Training & specialization (axis C) + +*(none)* + +## Harness & fleet (axis D) + +*(none)* + +## Collection candidates + +| id | org | name | priority | reason | approx size | license | +| -- | --- | ---- | -------- | ------ | ----------- | ------- | +| 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 | + +## Lab implications + +- 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. +- 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. +- Schedule an update for `llama.cpp` on Railiance to v0.2.10 to leverage improved MoE multi-GPU support, especially for DeepSeek-V4-Flash.