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    <title>Signalrauschen</title>
    <link>https://signalrauschen.com</link>
    <description>Daily AI research digest. Filtering the noise to find what matters.</description>
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    <lastBuildDate>Thu, 30 Apr 2026 07:00:00 +0000</lastBuildDate>
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      <title>Update: Mistral Medium 3.5 Officially Launches as Open Weights</title>
      <link>https://signalrauschen.com/2026-04-30#update-mistral-medium-3-5-officially-launches-as-open-weights</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>New Model Releases &amp; Benchmarks</category>
      <description>The model spotted on the horizon yesterday is now real. Mistral AI has released Mistral Medium 3.5, a dense 128B-parameter model with a 256k context window, marking the company's first "flagship merged model" that combines instruction-following, reasoning, and coding in a single set of weights.</description>
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      <title>IBM Granite 4.1: Full-Stack Enterprise AI Under Apache 2.0</title>
      <link>https://signalrauschen.com/2026-04-30#ibm-granite-4-1-full-stack-enterprise-ai-under-apache-2-0</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>New Model Releases &amp; Benchmarks</category>
      <description>IBM Research released the Granite 4.1 family on April 29, covering dense decoder-only LLMs in 3B, 8B, and 30B sizes, all trained on ~15T tokens with long-context extension up to 512K tokens. The release goes well beyond language: Granite Speech 4.1 achieves 5.33% WER on the OpenASR Leaderboard, Granite Vision delivers state-of-the-art table and chart extraction, and Granite Guardian 4.1 8B scores highest (70.29) among all tested reward models, outperforming models up to 70B parameters.</description>
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      <title>Ant Group's Ling-2.6-1T Enters the Trillion-Parameter Open-Weights Race</title>
      <link>https://signalrauschen.com/2026-04-30#ant-group-s-ling-2-6-1t-enters-the-trillion-parameter-open-weights-race</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>New Model Releases &amp; Benchmarks</category>
      <description>InclusionAI (Ant Group's AI lab) released Ling-2.6-1T, a trillion-parameter MoE model with ~50B active parameters per token, a 262k context window, and an MIT license. Independent analysis places it at #2 among open-weights large non-reasoning models, and it claims first place among open-source models on ArtifactsBench for front-end code generation.</description>
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      <title>Qwen Releases FlashQLA: 3x Speedups for Linear Attention</title>
      <link>https://signalrauschen.com/2026-04-30#qwen-releases-flashqla-3x-speedups-for-linear-attention</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>New Model Releases &amp; Benchmarks</category>
      <description>The Qwen team open-sourced FlashQLA, a high-performance linear attention kernel library built on TileLang that delivers 2-3x forward and 2x backward speedups on NVIDIA Hopper GPUs. Two key innovations drive the gains: gate-driven automatic intra-card context parallelism that exploits GDN's exponential decay, and a hardware-friendly algebraic reformulation that reduces Tensor Core overhead without sacrificing precision.</description>
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    <item>
      <title>Mayo Clinic AI Detects Pancreatic Cancer Up to 3 Years Before Diagnosis</title>
      <link>https://signalrauschen.com/2026-04-30#mayo-clinic-ai-detects-pancreatic-cancer-up-to-3-years-before-diagnosis</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Research Papers &amp; Breakthroughs</category>
      <description>Mayo Clinic's REDMOD (Radiomics-based Early Detection Model), validated in a landmark study published April 29, can detect pancreatic cancer on routine abdominal CT scans an average of 475 days before clinical diagnosis. The model was validated across nearly 2,000 scans from multiple institutions, achieving 88% specificity and identifying 73% of cancer cases versus 39% by specialist radiologists reviewing the same scans.</description>
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      <title>Neuro-Symbolic AI Cuts Robot Energy Use by 100x</title>
      <link>https://signalrauschen.com/2026-04-30#neuro-symbolic-ai-cuts-robot-energy-use-by-100x</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Research Papers &amp; Breakthroughs</category>
      <description>Researchers at Tufts University demonstrated a neuro-symbolic VLA system that combines neural networks with symbolic reasoning to achieve 95% accuracy on robotic tasks (vs. 34% for standard VLAs), while using just 1% of the training energy and 5% of the runtime energy. Training time dropped from 36+ hours to 34 minutes.</description>
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      <title>TIME Names 10 Most Influential AI Companies: Three Are Chinese</title>
      <link>https://signalrauschen.com/2026-04-30#time-names-10-most-influential-ai-companies-three-are-chinese</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Research Papers &amp; Breakthroughs</category>
      <description>TIME's inaugural Most Influential AI Companies list features OpenAI, Anthropic, Alphabet, Meta, Amazon, Mistral AI, and Hugging Face alongside three Chinese firms: ByteDance, Alibaba, and Zhipu AI.</description>
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      <title>Mistral Ships Vibe Remote Agents and Le Chat Work Mode</title>
      <link>https://signalrauschen.com/2026-04-30#mistral-ships-vibe-remote-agents-and-le-chat-work-mode</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Industry News &amp; Business Moves</category>
      <description>Alongside the Medium 3.5 launch, Mistral introduced remote agents in Vibe, its CLI coding tool. Developers can now teleport local coding sessions to the cloud, where they run asynchronously with full visibility into file diffs, tool calls, and progress states.</description>
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    <item>
      <title>Figure AI Hits 1 Robot Per Hour, 24x Production Increase</title>
      <link>https://signalrauschen.com/2026-04-30#figure-ai-hits-1-robot-per-hour-24x-production-increase</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Industry News &amp; Business Moves</category>
      <description>Figure AI announced that it has ramped Figure 03 production from 1 unit per day to 1 per hour, delivering over 350 third-generation humanoid robots. The 24x throughput improvement was achieved in under 120 days.</description>
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    <item>
      <title>Nous Research Hosts AMA, Hermes Agent Crosses 57K GitHub Stars</title>
      <link>https://signalrauschen.com/2026-04-30#nous-research-hosts-ama-hermes-agent-crosses-57k-github-stars</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Industry News &amp; Business Moves</category>
      <description>Nous Research held an AMA on r/LocalLLaMA with co-founder and CTO emozilla fielding questions about Hermes Agent, local models, and the company's roadmap. Hermes Agent has crossed 57,200 GitHub stars six weeks after launch, built on the premise of a persistent personal AI agent that creates skills from experience and deepens its model of the user across sessions.</description>
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    <item>
      <title>April 29 Funding Roundup</title>
      <link>https://signalrauschen.com/2026-04-30#april-29-funding-roundup</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Industry News &amp; Business Moves</category>
      <description>Rogo closed a $160M Series D led by Kleiner Perkins for its agentic AI platform targeting financial services, with Sequoia, Thrive, and Khosla participating. SPREAD AI raised $30M Series B from OTB Ventures for its industrial engineering data platform.</description>
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      <title>r/LocalLLaMA</title>
      <link>https://signalrauschen.com/2026-04-30#r-localllama</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Reddit Community Highlights</category>
      <description>16x DGX Spark Cluster Build A user is assembling what may be the largest home DGX Spark cluster documented publicly: 16 units connected via a 200Gbps QSFP56 switch, creating 2TB of unified memory. The post generated significant discussion about optimal model configurations and workload distribution for this setup, with suggestions ranging from running full-precision DeepSeek V4 to distributed training experiments.</description>
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    <item>
      <title>r/ClaudeAI</title>
      <link>https://signalrauschen.com/2026-04-30#r-claudeai</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Reddit Community Highlights</category>
      <description>Claude as Full-Stack Growth Engine A non-developer user detailed how they used Claude (plus Lovable) to build a marketplace for AI agent skills called Agensi, then leveraged Claude for SEO strategy, content generation, and growth, reaching 10,000 active users in six weeks with zero ad spend. The post generated polarized reactions: some praised it as a template for solo founders, while others raised concerns about AI-generated content flooding search results.</description>
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    <item>
      <title>r/LocalLLM</title>
      <link>https://signalrauschen.com/2026-04-30#r-localllm</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Reddit Community Highlights</category>
      <description>Qwen 3.5/3.6 Dominates Consumer GPU Discussions Multiple highly-upvoted posts celebrate Qwen models running on constrained hardware. Users report Qwen3.5:9b running smoothly on an 8GB RTX 4060 with 128k context, and Qwen 3.6 35B-A3B performing well on 16GB VRAM setups via Unsloth's IQ4_XS quantization at ~1,000 tokens/second prefill.</description>
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      <title>r/huggingface</title>
      <link>https://signalrauschen.com/2026-04-30#r-huggingface</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Reddit Community Highlights</category>
      <description>Qwen3.6-27B Uncensored Heretic v2 An uncensored fine-tune of Qwen3.6-27B was released with a KLD (Kullback-Leibler Divergence) of just 0.0021 and only 6/100 refusals in testing, indicating minimal capability degradation from the base model. The release includes both safetensors and GGUF formats with full benchmarks, continuing the community tradition of releasing "uncensored" variants shortly after major model drops.</description>
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    <item>
      <title>r/accelerate</title>
      <link>https://signalrauschen.com/2026-04-30#r-accelerate</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Reddit Community Highlights</category>
      <description>Figure AI's 24x Production Ramp The Figure AI manufacturing milestone (1 robot per hour, up from 1 per day) generated enthusiasm as concrete evidence of physical AI scaling. Commenters compared the ramp curve to early Tesla Model 3 production challenges and debated whether humanoid robots will follow a similar S-curve adoption pattern.</description>
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    <item>
      <title>r/unsloth</title>
      <link>https://signalrauschen.com/2026-04-30#r-unsloth</link>
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      <pubDate>Thu, 30 Apr 2026 07:00:00 +0000</pubDate>
      <category>Reddit Community Highlights</category>
      <description>Mistral Medium 3.5 GGUF Support in Progress Unsloth confirmed they are working with Mistral on llama.cpp GGUF implementation for Medium 3.5, with early testing revealing behavioral quirks that appear model-level rather than quantization-related. The community is also requesting NVFP4 quantization support now that Blackwell cards have native NVFP4 handling in llama.cpp, with users reporting ~1.5x prefill speedups.</description>
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