CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents
> Abstract:Across coding, web, and tool-use tasks, language-model agents are now routinely trained with the same recipe: supervised fine-tuning (SFT) to learn the interface, then
Last 3 hours(5)
Saudi Aramco takes 49 percent stake in AI firm Humain with $2.6 billion deal
Saudi Aramco acquires a 49 percent stake in AI firm Humain for $2.6 billion.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
Stop counting tokens, start counting what ships
Discussion on the shift from simple chat prompts to multi-step agentic workflows increasing token consumption.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures
Architectural guide for agentic systems emphasizing context management, tiered memory, and token budgeting.
why surfaced · medium
- meaningfully different from recent coverage
- classified as concrete builder or research signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
OpenAI prepares lobbying blitz for a post-midterm Washington
Report on OpenAI's planned lobbying efforts in Washington.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
When You Should—and Shouldn’t—Use AI to Search the Web
General overview comparing AI search capabilities against traditional search engine utility.
why surfaced · high
- high novelty against the 30-day history
- classified as useful but lower-confidence signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
Earlier today(11)
Li$^{2}$SAO: Lifting Light Singl-Rollout Asynchronous RL Optimization via Group-Relative Actor-Critic Bootstrapping
Proposes an asynchronous RL optimization method for LLM post-training to improve efficiency over standard GRPO group-wise sampling.
why surfaced · high
- 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
The Generative Gap Between Speculative Drafter and Continuous Diffusion Language Model
Analyzes the differences in evaluation and generation paradigms between continuous diffusion language models and speculative drafters.
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.
Mage-VL-Cowork: A Full Training Recipe to Learn Hybrid Computer Use From Evolved Harnesses
Introduces a 4B parameter hybrid computer-use agent trained to integrate visual GUI interaction with code and terminal execution.
why surfaced · high
- 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
Hundreds of Mundane AI Apps Are Hiding Sexually Abusive Deepfake Features
Investigation identifies hundreds of apps masquerading as productivity tools that facilitate non-consensual deepfake generation.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- fresh within the current refresh window
- Assessment: llm. Model assessment from source metadata; not independently verified
China's First Frontier AI Export Controls: Mofcom Announcement No. 48
Summary and analysis of China's regulatory framework regarding the export of frontier AI technologies.
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
Adobe is testing how well AI agents can use editing tools like a Photoshop professional would
EditAgent uses specialized tools for image editing tasks rather than relying on general-purpose models.
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
SenseNova Loop 9B: Hands-On Test of a Looped Multimodal Model
This video locally installs and tests SenseNova-Loop-9B-Preview, a looped multimodal model for long-context and agentic workflows. 📬Weekly AI Newsletter: https://fahdmirza.substack.com/ 🔥 Buy Me a C
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: deterministic. Metadata evidence rules; not independently verified
Reliably aligning LLMs is impossible in principle
A philosophical argument regarding the theoretical limits of LLM alignment.
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
An easy way to try local AI with braindead-local-intelligence
A practical guide for setting up and running local LLMs on personal hardware.
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
Empathetic prompts can turn AI chatbots into seemingly traumatized conversational partners
Study shows empathetic prompting can induce LLMs to generate coherent, fabricated narratives of personal trauma.
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
Salesforce Just Helped Microsoft. You're Picking The Winner Of A Trillion-Dollar Fight.
AI agents are turning Microsoft, Salesforce, Oracle and OpenAI into rivals for the same job: running the AI agents your business depends on. Here's why rivals are opening doors for each other, and how
why surfaced · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: deterministic. Metadata evidence rules; not independently verified
Yesterday & older(22)
CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents
Presents a pipeline for training robot agents using code-as-policy via supervised fine-tuning and multi-turn RL.
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 2026-11-02; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
MemSteer: Turning User Histories into Supervision for Agent Memory Optimization
Proposes a method to use user history as supervision for optimizing agent memory systems.
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 2026-11-02; 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.
VoxLock: Target-Speaker Extraction for Voice Agents Without an Enrollment Step
Presents a target-speaker extraction model for voice agents that works without enrollment.
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 2026-11-02; 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.
REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control
Proposes a runtime architecture for embodied agents using asynchronous high-level reasoning and low-level control.
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 2026-11-02; 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.
RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory
Automates the design of robotic agent harnesses with persistent memory to replace manual control code development.
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 2026-11-02; 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.
On the Origin and Evolution of Training-Inference Mismatch in LLM Reinforcement Learning
Analyzes the training-inference mismatch in LLM reinforcement learning caused by decoupled sampling and gradient computation.
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 2026-11-02; 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.
HALO: Human-Grounded Granular Evaluation of Proactive Agents
Introduces a human-grounded evaluation framework for proactive agents to assess evidence use and intervention quality.
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 2026-11-02; 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.
SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World
Introduces a benchmark to decouple scientific reasoning from pretrained priors in LLM agents.
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 2026-11-02; 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.
When Requirements Interact: Scaling Long-Horizon Coding via Interdependent Specifications
Explores methods for coding agents to handle interdependent software specifications, focusing on long-horizon task completion.
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 2026-11-02; 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.
GLOW-FM: Efficient Generative Low-Light Image Enhancement with One-Step Latent Flow Matching
Uses one-step latent flow matching to accelerate generative low-light image enhancement.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-02; 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.
Apriel Voice 27B Preview: An Open Model for Speech, Reasoning, and Tool Use
Open 27B speech-language model integrating reasoning, conversation, and tool-use capabilities.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-02; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
- Compare the reported performance conditions with your hardware and workload.
Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling
Presents an iterative hindsight relabeling approach to train robot policies that are controllable for quality attributes like speed.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-02; 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.
Probing Spatial State Representations in Visual Foundation Models
Probes how visual foundation models maintain persistent spatial state representations for navigation and perception.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-02; 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.
TernScope: Model-Hardware Co-Design for Efficient Ternary Endoscopic Segmentation
Presents a model-hardware co-design approach for efficient ternary endoscopic segmentation.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-02; 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.
ReLift: Dense 3D Tracking as Lifted Trajectory Repair
Proposes a trajectory repair method for dense 3D tracking from monocular video.
why surfaced · high
- high novelty against the 30-day history
- classified as concrete builder or research signal
- listed on Daily Papers 2026-11-02; publication date preserved
- primary source has high trust weight
- Assessment: llm. Model assessment from source metadata; not independently verified
Chinese AI models are politically complex, not just government mouthpieces, study finds
Analysis of 25 AI models reveals political alignment in Chinese models is less uniform than commonly assumed.
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 wants video AI to understand what people need as they work
StreamVibe benchmark evaluates video agents on task assistance, showing performance degradation in long-form video.
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
- Inspect the evaluation setup, data and baselines before applying the reported results.
The AI cost of JavaScript frameworks
Analysis of how AI-driven tooling and LLM-based code generation impact the performance and complexity of web applications.
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
OpenAI is steering ChatGPT users toward more paid usage
OpenAI implements device and payment card caps on ChatGPT subscriptions to limit account sharing.
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
OpenAI's upcoming chat-and-work merger in ChatGPT signals the end of all-you-can-prompt pricing
OpenAI merges Chat and Work interfaces, transitioning to a unified token-based quota system for paid plans.
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
MOSS-Image: New 5B Image Model with Layout Control, Tested Locally
This video installs and tests MOSS-Image-SFT locally. 📬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 · familiar
- kept for context despite familiar coverage
- classified as useful but lower-confidence signal
- Assessment: deterministic. Metadata evidence rules; not independently verified
source trail · 2
- Fahd Mirza YouTube
- Fahd Mirza YouTubeColibri Tutorial: Run Big Models Like DeepSeek, Qwen on One GPU Locally
Chatbots Are Leading Hikers Astray, With Dangerous Consequences
Report on the risks of relying on LLM-generated advice for outdoor navigation and safety.
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
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