Factorized MLLM Embeddings for Composed Image Retrieval
> Abstract:Composed Image Retrieval (CIR) aims to retrieve a target image given a reference image and a modification text. Although recent approaches leveraging Multimodal Large
Last 3 hours(4)
Google hasn’t figured out how to make AI pay like its search engine
Alphabet earnings show search revenue growth slowing to 12% YoY despite rising query volumes, highlighting AI monetization challenges.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
Tell HN: Gemini trains on chat history, even for subscribers (personal accounts)
Report that Google Gemini trains on chat history for personal accounts, including paid subscribers.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- fresh within the current refresh window
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
Exit polls show AI ranked last among voter priorities in the 2026 U.S. midterms
Exit polls show AI ranked last among voter priorities in 2026 midterms, behind corruption and cost of living.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
Schools that turn off Google's AI will lose search too starting in 2027
Google will default to off for school AI in 2027, but blocking AI entirely will also disable Search access.
why surfaced · medium
- meaningfully different from recent coverage
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
Earlier today(24)
Why Pay for Long Reasoning When Rewrite Do Trick? Causal Effects of Reasoning History Compaction on Future Generation and Agent Cost
Analyzes the causal effects of compacting reasoning traces to reduce inference costs in LLMs.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
A Conditional Mutual Information Analysis of Response Variety in Language Models
Uses conditional mutual information to provide a quantitative, entropy-based analysis of LLM response variety.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
Rethinking Next-Visit Diagnosis Prediction Beyond Aggregate Metrics: Retrieval--Memory Multi-Agent Adjudication
Proposes multi-agent adjudication for next-visit diagnosis prediction, but evaluation methodology remains niche.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Nvidia RTX Spark encrypted firmware slows inference speed to 35% on Linux
Nvidia RTX Spark encrypted firmware reportedly reduces inference speed by 35% on Linux systems.
why surfaced · medium
- meaningfully different from recent coverage
- classified as concrete builder or research signal
- fresh within the current refresh window
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- Assessment: llm. Model assessment from source metadata; not independently verified
Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
Tutorial on building a governed semantic layer in Postgres for agentic AI with Bedrock AgentCore, including access control.
why surfaced · familiar
- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device
Google releases LiteRT Tensor API, a C++ interface for building and optimizing on-device ML models with cross-platform support.
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- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Rapid LLM development is outrunning the research meant to explain it, study finds
Stanford study finds 44% of widely cited LLM claims are expired and 34% weakened, with an average lifespan of 15.7 months.
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- specific engineering subject or instructional task in source metadata
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Crouton Alpha: The Free Stealth Model Built for Subagents
This video tests Crouton Alpha with Hermes agents. 📬Weekly AI Newsletter: https://fahdmirza.substack.com/ 🔥 Get 50% Discount on any A6000 or A5000 GPU rental, use following link and coupon: https://
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: deterministic. Metadata evidence rules; not independently verified
Postman silently auto-installs AI plugins and attempts to share all API data
Postman reported to silently auto-install AI plugins and attempt to share API data without explicit user consent.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
ServiceNow on-behalf-of token exchange with Bedrock AgentCore Gateway
Technical guide on configuring Bedrock AgentCore Gateway for OBO token exchange with ServiceNow and Entra ID.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Qwen 3.8 27B on my laptop can interpret model weights, too
Demonstrates Qwen 3.8 27B interpreting model weights locally, highlighting emergent introspective capabilities.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- seen on 3 feeds; not independent verification
- primary source has high trust weight
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- Assessment: llm. Model assessment from source metadata; not independently verified
source trail · 3
- Simon Willison
- Fahd Mirza YouTubeQwen 3.8 27B Ripping Apart Model Weights like GPT-6 Astra: Hands-on
- Hacker News (AI-filtered)
The biggest modding site in PC gaming is taking a stance on AI
Nexus Mods mandates AI usage disclosures for new mod uploads, requiring authors to declare if AI tools were used in creation.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Introducing India-based inference for Kimi K3 on Amazon Bedrock
AWS announces India-based inference for Kimi K3 on Bedrock, with code examples for Indic document processing.
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- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
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AI agents take over at SETI's Allen Telescope Array, scanning for extraterrestrial intelligence
SETI Institute uses AI agents to control the Allen Telescope Array, reducing analysis time from weeks to hours.
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- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Anthropic is working on a system to prove AI models’ identity
Anthropic developing FlashProve, a system to cryptographically verify the identity of AI model responses.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Anthropic is still grappling with the economics of compute
Anthropic's compute margins are deteriorating despite expectations of improvement, highlighting economic challenges.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Apple starts giving Siri AI access to third-party apps
Apple enables Siri AI to perform actions across third-party apps in iOS 27.3, allowing developers to integrate personal context.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Google is entirely disabling Search in schools that don’t want AI
Google disables standard Search in schools that opt out of AI features, forcing a choice between Gemini and no search.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Bring structured and unstructured data together with Amazon Quick
AWS tutorial on connecting S3 to Amazon Quick for mixed data analysis; useful for AWS users but derivative of existing RAG patterns.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Building ultra-low-latency voice AI applications on AWS
AWS blog details deploying Cartesia's Sonic TTS/STT models on SageMaker or EC2 for sub-100ms latency.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
- Compare the reported performance conditions with your hardware and workload.
You've Never Lost $19 Billion. So Why Are You Playing It Safer Than Zuckerberg?
10 million people set up Meta's personal AI agent, Muse, in six weeks. That came after Reality Labs lost $19.2 billion in 2025 alone. Here are three things Zuckerberg did that you can copy without his
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: deterministic. Metadata evidence rules; not independently verified
Agentic cheminformatics with Google Antigravity
DeepMind blog on using Antigravity for cheminformatics workflows; demonstrates agentic application but lacks novel method details.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
Mathematical primer on generative AI foundations, likely a survey or educational resource rather than new research.
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How I use AI (Oct 2026)
Personal blog post detailing the author's workflow and tools for using AI in October 2026.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
Yesterday & older(32)
Factorized MLLM Embeddings for Composed Image Retrieval
Presents factorized MLLM embeddings to improve composed image retrieval performance.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
EvoTeam: Multi-Agent Collaboration via Evolving Teams
Proposes EvoTeam, a method for evolving multi-agent team structures rather than just individual agent prompts to improve collaboration.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Switch-SWE: Do Coding Agents Hold Focus When Switching Between Unfinished Tasks?
Evaluates coding agents' ability to maintain focus and recover context when switching between unfinished software tasks.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents
Presents ToolSpace, a tool-centric method for synthesizing MCP environments to support long-horizon agent workflows.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
WebHarbor: Docking Real Websites for Evolving GUI Agent Environments
Introduces WebHarbor, a framework for docking real websites to create stable, evolving environments for GUI agent evaluation.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Do We Need an LLM to Know Why Sources Conflict? Decision Models for Knowledge-Conflict Typing in RAG
Evaluates lightweight decision models for typing knowledge conflicts in RAG, showing they can replace LLMs for conflict resolution.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Think Less, Locally: Local Preference Learning for Reasoning Compression
Introduces local preference learning to compress reasoning chains and reduce inference costs.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
VidUEU-Agent: A Data-Curation Agent for Multimodal Understanding, Editing, and Unified Tasks
Describes an agent for curating multimodal instruction data from raw videos to address annotation scarcity.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Auto-Research Agent on MSA Organization to Improve Protein-Protein Complex Structure Prediction
Proposes an agent to optimize MSA organization for AlphaFold 3, addressing narrow pipeline tuning for protein structure prediction.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Kierston & KierstonBench: Simulation of Allentown, PA and Evaluation of Language Models in Crime Investigation and Surveillance Tasks
Introduces a benchmark for crime investigation and surveillance tasks; limited general utility.
why surfaced · high
- specific engineering subject or instructional task in source metadata
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
You don't need long context
Shows frequent context compaction preserves performance on long-horizon tasks while reducing generation costs by up to 7x.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
Is Your Long-Horizon Benchmark Really Deep? Measuring and Synthesizing Depth in Terminal Tasks
Proposes metrics to measure the depth of long-horizon terminal tasks and a method for synthesizing deeper benchmarks.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
Going Deeper With Memories
Introduces DeepMem, a causal multiscale architecture for byte-level language models that separates semantic compression from byte preservation.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
GigaSpeech 3: Scaling Multi-Dialect Arabic Speech Recognition with Weakly Labeled Data
Releases GigaSpeech 3, a 39k-hour weakly labeled corpus for multi-dialect Arabic speech recognition.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
FlowTranslator: Training-Free In-Image Machine Translation with Flow-Based Editing
Introduces FlowTranslator, a training-free approach for in-image machine translation using flow-based editing to preserve visual context.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
Every Token Needs Its Own Teacher: Multi-teacher Adaptive On-policy Self-distillation
Proposes multi-teacher adaptive on-policy self-distillation for LLM post-training to improve teacher conditioning.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
Muon Makes the First Mixture-of-Experts Layer Harder to Balance
Analyzes how Muon optimizer affects load balancing in MoE layers, providing guidance on router training strategies.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
DreamX: Video Diffusion Model is a Universal Latent Action Learner
Presents DreamX, a video diffusion model that learns universal latent actions invariant to embodiment and appearance.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
Every Pixel Is an Option: A System One Model for Medical Ultrasound Biometry
Introduces a model for medical ultrasound biometry to reduce inter-operator variability in clinical measurements.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
[AINews] LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop
Covers 'Weight Space Programming' where LLMs edit neural weights to optimize reasoning, plus GDPx benchmark.
why surfaced · familiar
- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Inspect the evaluation setup, data and baselines before applying the reported results.
RoboTryOn: Synthesizing Dexterous Robot Demonstrations from Human Videos via Virtual Try-On
Proposes synthesizing robot demonstrations from human videos via virtual try-on to reduce reliance on teleoperation.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- listed on Daily Papers 2026-11-04; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
Datashake MCP
Product Hunt listing for Datashake MCP, a tool for data handling, with minimal technical detail provided.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Anthropic's Message Threads cut time to first token by 35 percent for long conversations
Anthropic's Message Threads API reduces time to first token by 35% for long conversations by transmitting only changes.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
sensenova/SenseNova-Loop-9B-Preview (2704 downloads, 224 likes)
9B multimodal preview model from SenseNova, early release without comprehensive evaluation results.
why surfaced · medium
- meaningfully different from recent coverage
- classified as useful but lower-confidence signal
- trending observed 2026-11-04; publication date preserved
- fresh within the current refresh window
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
LiquidAI/LFM3-1.7B (54959 downloads, 1453 likes)
LiquidAI releases LFM3-1.7B, a small language model designed for edge deployment and text generation.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- trending observed 2026-11-04; publication date preserved
- fresh within the current refresh window
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
source trail · 2
- Hugging Face trending models
- Hugging Face trending modelsLiquidAI/LFM3-Omni-2B (13057 downloads, 347 likes)
deepseek-ai/DeepSeek-V4.1-Flash-1017 (221621 downloads, 5224 likes)
DeepSeek releases V4.1-Flash-1017, a multimodal model supporting image-text-to-text generation under MIT license.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- trending observed 2026-11-04; publication date preserved
- fresh within the current refresh window
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
- Read the source's license and usage conditions before adopting the release.
source trail · 2
- Hugging Face trending models
- Hugging Face trending modelsOBLITERATUS/DeepSeek-V4.1-Flash-1017-obliterated (1979 downloads, 240 likes)
nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B (44939 downloads, 1261 likes)
NVIDIA releases Nemotron-3.5-Transcribe-30B-A4B, a speech-to-text model optimized for transcription tasks.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- trending observed 2026-11-04; publication date preserved
- fresh within the current refresh window
- source-native discussion or engagement is unusually high
- Assessment: llm. Model assessment from source metadata; not independently verified
How “reverse game theory” could keep AI agents in check
MIT Tech Review explores 'reverse game theory' as a mechanism design approach to incentivize AI alignment.
why surfaced · familiar
- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Presentation: Beyond the Harness: Canvas for AI Agents
Presentation on applying product engineering principles to create bounded autonomy and drift detection for AI agents.
why surfaced · familiar
- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Huawei tells customers to find their own AI chip memory, effectively outsourcing procurement to the black market
Huawei instructs customers to source HBM memory independently, effectively outsourcing procurement to black markets.
why surfaced · familiar
- kept for context despite familiar coverage
- classified as concrete builder or research signal
- Assessment: llm. Model assessment from source metadata; not independently verified
Oh, your agents need OAuth2, too
Discussion on adapting OAuth2 protocols to provide distinct identities and security for autonomous AI agents.
why surfaced · familiar
- specific engineering subject or instructional task in source metadata
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: llm. Model assessment from source metadata; not independently verified
DeepSeek GSQ-RCO Coder at 1-Bit Locally
Running DeepSeek V4.1 Flash GSQ-RCO Coder, a 763B model pruned to about 1 bit, locally with llama.cpp and testing it on real code. 📬Weekly AI Newsletter: https://fahdmirza.substack.com/ 🔥 Get 50% Di
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: deterministic. Metadata evidence rules; not independently verified
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