absorb.md

What the smart people are recommending. 8874 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.

AllπŸ“š BooksπŸ›  ToolsπŸ“± AppsπŸ’Š SupplementsπŸŽ“ Courses🎬 MoviesπŸ“Ί ShowsπŸ“¦ ProductsπŸ”§ ServicesπŸ“„ PapersπŸ‘€ People🎟 EventsπŸ’» Repos✨ Skills
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πŸ›  ToolsΓ—1 mentions

Graphae

β€œWe introduce the representation-aware advantage estimation, which leverages RM hidden states and models them as auxiliary signals for better advantage estimation.”

paper: Representation-Aware Advantage Estimation Using Reward Model Hidden States for Enhanced RLHF β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Grpo

β€œWe apply GraphAE to GRPO, GSPO and RLOO, and conduct extensive experiments on different models and benchmarks.”

paper: Representation-Aware Advantage Estimation Using Reward Model Hidden States for Enhanced RLHF β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Gspo

β€œWe apply GraphAE to GRPO, GSPO and RLOO, and conduct extensive experiments on different models and benchmarks.”

paper: Representation-Aware Advantage Estimation Using Reward Model Hidden States for Enhanced RLHF β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Rloo

β€œWe apply GraphAE to GRPO, GSPO and RLOO, and conduct extensive experiments on different models and benchmarks.”

paper: Representation-Aware Advantage Estimation Using Reward Model Hidden States for Enhanced RLHF β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Einsteinarena

β€œIn this paper, we present EinsteinArena, an agent-native platform for open distributed research and discovery.”

paper: EinsteinArena: A Platform for Collective AI-Driven Scientific Discovery Through Agent Collaboration β€” 2026-06-10
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Kgcfr

β€œWe introduce Knowledge-Grounded Counterfactual Reasoning (KG-CFR), a dual-stage architecture that enforces a strict separation of concerns between a private, retrieval-augmented planning buffer, and a…”

paper: KG-CFR Architecture Enhances Multi-Agent System Resilience Through Decoupled Planning and Execution β€” 2026-06-10
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Flexible Representation Of Quantum Images Frqi

β€œThe results reveal meaningful trade-offs between accuracy and resource efficiency, with the FRQI model achieving a 97 percent reduction in circuit depth while maintaining a near-perfect reconstruction…”

paper: Low-Rank Schmidt Decomposition Enables 97% Circuit Depth Reduction for Quantum Image Encoding β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Quantum Probability Image Encoding Qpie

β€œHowever, on real quantum hardware, these encodings can quickly lead to circuits with many gates, large circuit depth, and high qubit usage, which is a problem for Noisy Intermediate-Scale Quantum (NIS…”

paper: Low-Rank Schmidt Decomposition Enables 97% Circuit Depth Reduction for Quantum Image Encoding β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Novel Enhanced Quantum Representation Neqr

β€œHowever, on real quantum hardware, these encodings can quickly lead to circuits with many gates, large circuit depth, and high qubit usage, which is a problem for Noisy Intermediate-Scale Quantum (NIS…”

paper: Low-Rank Schmidt Decomposition Enables 97% Circuit Depth Reduction for Quantum Image Encoding β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Scalable And Efficient Homodyne Detection

β€œHere we realize scalable and efficient homodyne detection by leveraging a large number of pixels in a charge-coupled-device (CCD) camera.”

paper: Scalable Homodyne Detection Using CCD Cameras for Multimode Quantum Light Measurement β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Qibo

β€œthe computational tool used: Qibo, an open-source framework for efficient quantum simulations and quantum hardware control.”

paper: Quantum Circuits as Binary Classifiers: Implementation and Evaluation β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Eevee

β€œwe propose EEVEE, the first multi-dataset test-time prompt learning framework for LLM agents, enabling test-time prompt learning under real-world task streams.”

paper: EEVEE: Test-time Prompt Learning Framework for Heterogeneous Real-World Data Streams β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Targetsft

β€œwe propose Target-SFT which constructs the training objective directly from the desired target distribution.”

paper: Reimagining SFT: Target Distribution Design for Improved Fine-Tuning β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Kaggle Personal Evals Platform

by Google/Kaggle

β€œthe folks at kaggle actually are are pushing on this notion of like um having personal evals and being able to sort of build a platform in which as new models are released and made available to the wo…”

Details β†’
πŸ›  ToolsΓ—1 mentions

Gemini 20 Pro

by Google DeepMind

β€œreleased the the sort of experimental variant of 2.0 pro which is the the most capable Frontier Model we have... Pro is where you're sort of not bound by costs in a lot of ways”

Details β†’Visit β†—
πŸ›  ToolsΓ—1 mentions

Multimodal Live Api

by Google DeepMind

β€œwe also previewed in December the multimodal live API which allows you to do this sort of collaborative realtime conversational video uh text interface with the models”

Details β†’Visit β†—
πŸ›  ToolsΓ—1 mentions

Transformerbased Network

β€œWe propose a Transformer-based network for cuffless BP estimation from PPG signal, leveraging self-attention to capture long-range dependencies across multiple cardiac cycles.”

paper: DMT: Demographic-Conditioned Transformer for Cuffless Blood Pressure Estimation from PPG Signals β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

It Map

β€œWe introduce the ItΓ΄ map, an any-step stochastic flow map that takes an intermediate state and Brownian path and predicts future states in a single pass.”

paper: ItΓ΄ Maps: Any-Step Stochastic Flow Maps for Enhanced SDE Integration and Control β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Nakanishifujiitodo Optimizer

β€œWe propose a specific adaptive CVaR schedule that gradually tightens the sampled tail used for optimization, together with a two-stage optimizer combining global exploration with Particle Swarm Optimi…”

paper: Optimizing VQA Performance for Dynamic Portfolio Optimization on Near-Term Quantum Hardware β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Visionos 24

β€œApple Intelligence comes to Apple Vision Pro today with visionOS 2.4”

Details β†’
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Particle Swarm Optimization

β€œWe propose a specific adaptive CVaR schedule that gradually tightens the sampled tail used for optimization, together with a two-stage optimizer combining global exploration with Particle Swarm Optimi…”

paper: Optimizing VQA Performance for Dynamic Portfolio Optimization on Near-Term Quantum Hardware β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Heavyhexnative Deepchain Layout

β€œIn the reported QPU layout comparison, the proposed heavy-hex-native deep-chain layout achieves the best final objective value and CVaR-tail performance among the tested layouts.”

paper: Optimizing VQA Performance for Dynamic Portfolio Optimization on Near-Term Quantum Hardware β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Dataguided Colored Layout

β€œWe also study ansatz depth and sequential growth strategies. Finally, we introduce two hardware-aware ansatz-layout modifications: a data-guided colored layout that assigns correlated variables to qub…”

paper: Optimizing VQA Performance for Dynamic Portfolio Optimization on Near-Term Quantum Hardware β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Ldms

β€œLatent diffusion models (LDMs) provide efficient mappings from high-dimensional geological model space to a low-dimensional latent variable, reducing the dimensionality of the inverse problem while ma…”

paper: Nonlinear LDM mappings break ensemble Kalman methods: rigorous MCMC/SMC outperform for subsurface DA β€” 2026-06-10
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Esmda

β€œWe compare model-space and latent-space DA using the ensemble smoother with multiple data assimilation (ESMDA), and demonstrate a key trade-off: model-space updates achieve significant uncertainty red…”

paper: Nonlinear LDM mappings break ensemble Kalman methods: rigorous MCMC/SMC outperform for subsurface DA β€” 2026-06-10
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Mcmc

β€œMotivated by this, we explore rigorous Markov chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC) algorithms in the 3D-LDM latent space.”

paper: Nonlinear LDM mappings break ensemble Kalman methods: rigorous MCMC/SMC outperform for subsurface DA β€” 2026-06-10
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Smc

β€œMotivated by this, we explore rigorous Markov chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC) algorithms in the 3D-LDM latent space.”

paper: Nonlinear LDM mappings break ensemble Kalman methods: rigorous MCMC/SMC outperform for subsurface DA β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Markov Chain Monte Carlo

β€œAll models maintain geological realism due to the LDM parameterization. MCMC and SMC are consistent with one another and achieve lower data mismatch and more uncertainty reduction than latent-space ES…”

paper: Nonlinear LDM mappings break ensemble Kalman methods: rigorous MCMC/SMC outperform for subsurface DA β€” 2026-06-10
Details β†’
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Sequential Monte Carlo

β€œAll models maintain geological realism due to the LDM parameterization. MCMC and SMC are consistent with one another and achieve lower data mismatch and more uncertainty reduction than latent-space ES…”

paper: Nonlinear LDM mappings break ensemble Kalman methods: rigorous MCMC/SMC outperform for subsurface DA β€” 2026-06-10
Details β†’
πŸ›  ToolsΓ—1 mentions

Controlledswapbased Unitary Constructions

β€œWe present explicit controlled-SWAP-based unitary constructions that achieve exact uniformity with quadratic circuit size and linear depth (O(n)) on linear nearest neighbor topologies.”

paper: Variational Quantum Circuits Enable Hardware-Constrained Uniform Permutation Generation β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Ciawarebench

β€œWe introduce CIAware-Bench, a benchmark for measuring control intervention (CI) awareness across frontier models.”

paper: CIAware-Bench: A Benchmark for Evaluating Control Intervention Awareness in Frontier LLMs β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Gasloc

β€œWe introduce GASLoC, a novel decentralized pre-training algorithm that generalizes the notion of communication acceleration to the recently popular "outer optimizer" to allow a practical gossip-based …”

paper: GASLoC: Decentralized LLM Pretraining with Local Updates and Sparse Peer Communication β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Qgf Qguided Flow

β€œTo this end, we propose QGF (Q-Guided Flow), an RL algorithm that performs policy optimization entirely at test time.”

paper: QGF: Test-Time Policy Optimization via Value-Guided Flow Generation Sidesteps Actor-Critic Instability β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Genair

β€œwe propose GenAIR, a general framework that empowers sequential recommendation with Generative Archetype-grounded Item Representations”

paper: GenAIR: Generative Archetype-Grounded Item Representations for Enhanced Sequential Recommendation β€” 2026-06-10
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Fada

β€œWe present FADA, a unified vision-language model built on Qwen3.5-VL that performs clinical interpretation, classification, detection, and segmentation through a single interpretation-first pipeline w…”

paper: FADA: Unified Vision-Language Model for Accessible Fetal Ultrasound Analysis on Edge Devices β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Secda

β€œWhile existing methodologies such as SECDA enable rapid hardware-software co-design through SystemC simulation and FPGA execution, identifying efficient accelerator configurations remains a largely ma…”

paper: LLM-Guided Framework Automates FPGA Accelerator Design Space Exploration β€” 2026-06-10
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Secdadse

β€œSECDA-DSE is a framework that integrates Large Language Models (LLMs) into the SECDA ecosystem to guide design space exploration (DSE) of FPGA-based accelerators.”

paper: LLM-Guided Framework Automates FPGA Accelerator Design Space Exploration β€” 2026-06-10
Details β†’
πŸ›  ToolsΓ—1 mentions

Llm Stack

β€œIt combines a structured DSE Explorer for generating candidate architectures with an LLM Stack that performs reasoning-guided exploration using retrieval-augmented generation and chain-of-thought prom…”

paper: LLM-Guided Framework Automates FPGA Accelerator Design Space Exploration β€” 2026-06-10
Details β†’
πŸ›  ToolsΓ—1 mentions

Reasonalloc

β€œwe propose ReasonAlloc, a training-free framework that recasts decoding-time KV compression as a hierarchical budget allocation problem.”

paper: Hierarchical KV Cache Budget Allocation Improves Decoding Efficiency for Reasoning Models β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Clock Code

β€œLinear integrates with the very best agent coding tools directly, like cursor and codex.”

Recommended on Behind the Craft β€” 2026-04-12
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Bellmantaylor Score Decoding

β€œwe propose Bellman--Taylor score decoding, a framework that moves policy learning to a Euclidean score space while enforcing feasibility through an action decoder”

paper: Bellman-Taylor Score Decoding: Enhancing DRL for MDPs with State-Dependent Actions β€” 2026-06-10
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This Framework

β€œLastly, we apply this framework to a queueing network control problem, where the policy essentially learns a state-dependent index-based dispatching rule.”

paper: Bellman-Taylor Score Decoding: Enhancing DRL for MDPs with State-Dependent Actions β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Vista

β€œTo address these limitations, we propose VISTA, a Versatile Interactive user Simulation Toolkit for Agent evaluation.”

paper: VISTA: A Hybrid Simulation Toolkit for Enhanced Interactive Agent Evaluation β€” 2026-06-10
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Moshi

β€œWe apply our method to two open-source models, Moshi and PersonaPlex, demonstrating consistent improvements in interactivity on both offline evaluation with pre-recorded audio and real-time multi-turn…”

paper: Enhancing Full-Duplex Speech Model Interactivity via Multi-Faceted Reinforcement Learning Alignment β€” 2026-06-10
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Personaplex

β€œWe apply our method to two open-source models, Moshi and PersonaPlex, demonstrating consistent improvements in interactivity on both offline evaluation with pre-recorded audio and real-time multi-turn…”

paper: Enhancing Full-Duplex Speech Model Interactivity via Multi-Faceted Reinforcement Learning Alignment β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Claude Opus 4

β€œWe analyze how Claude Opus 4, GPT-4.1, and Gemini 2.5 Pro adapt 60 English math word problems into Bengali, Hindi, Punjabi (India), Urdu, Sindhi (Pakistan), Italian, and Sicilian (Italy)”

paper: LLMs Show Inconsistent and Superficial Cultural Adaptation in Math Word Problem Translation β€” 2026-06-10
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Gemini 25 Pro

β€œWe analyze how Claude Opus 4, GPT-4.1, and Gemini 2.5 Pro adapt 60 English math word problems into Bengali, Hindi, Punjabi (India), Urdu, Sindhi (Pakistan), Italian, and Sicilian (Italy)”

paper: LLMs Show Inconsistent and Superficial Cultural Adaptation in Math Word Problem Translation β€” 2026-06-10
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Instructiontuned Llms

β€œInstruction-tuned LLMs are increasingly converted into reasoning models through post-training to improve multi-step task performance.”

paper: Reasoning Model Conversion Risks Alignment Regression β€” 2026-06-10
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Multimodal Large Language Models

β€œWith the widespread deployment of Multimodal Large Language Models (MLLMs) in social interaction, understanding and controlling their behavior under complex personality conditions is essential.”

paper: Controlling MLLM Personalities: Implications for Performance and the Need for Robust Induction Methods β€” 2026-06-10
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Hivig

β€œwe introduce HiViG, a History-aware Visually Grounded test-time framework, built around a multimodal critic trained on real GUI trajectories”

paper: HiViG: History-Aware Visually Grounded Critic for Enhanced Computer Use Agent Performance β€” 2026-06-10
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Qwen3vl32b

β€œHiViG consistently outperforms existing scalar and verbal critics, improving average success rates over the strongest baseline by 5.8% for Qwen3-VL-32B and 9.0% for Gemini-3-Flash”

paper: HiViG: History-Aware Visually Grounded Critic for Enhanced Computer Use Agent Performance β€” 2026-06-10
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Data Journalist Agent

β€œWe introduce Data Journalist Agent (Data2Story), a multi-agent framework that orchestrates specialized roles into a single virtual newsroom.”

paper: Data2Story: An AI Agent for Verifiable, Multimodal Data Journalism β€” 2026-06-10
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Architectant

β€œwe present Architect-Ant, an editable automatic furnishing framework powered by a fine-tuned vision-language model”

paper: Architect-Ant: Automated and Editable Floor Plan Furnishing with Vision-Language Models and a Novel Dataset β€” 2026-06-10
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Var Model

β€œThis study aims to explore the performance of the VAR model in comparison with mel-frequency cepstral coefficient (MFCC) matrices and log-mel spectrograms using deep learning.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
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Melfrequency Cepstral Coefficient Mfcc Matrices

β€œThis study aims to explore the performance of the VAR model in comparison with mel-frequency cepstral coefficient (MFCC) matrices and log-mel spectrograms using deep learning.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
Details β†’
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Logmel Spectrograms

β€œThis study aims to explore the performance of the VAR model in comparison with mel-frequency cepstral coefficient (MFCC) matrices and log-mel spectrograms using deep learning.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
Details β†’
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Adaptivelength Windowing

β€œAlong with traditional trimming/zero-padding, adaptive-length windowing was presented to fix their temporal dimensions.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
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Convolutional Neural Network Cnn Architectures

β€œDifferent convolutional neural network (CNN) architectures were employed to extract features from the two-dimensional representations obtained over the sub-phases.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
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Gated Recurrent Unit Gru Network

β€œThe extracted sub-phase features were then fused using various strategies including direct concatenation, gated recurrent unit (GRU) network and GRU with attention mechanism.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
Details β†’
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Gru With Attention Mechanism

β€œThe extracted sub-phase features were then fused using various strategies including direct concatenation, gated recurrent unit (GRU) network and GRU with attention mechanism.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
Details β†’
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Mixup Augmentation

β€œAugmentation degraded the performance of models overall, yet mixup augmentation was the best among the methods tested.”

paper: MFCC Matrices + Direct Concatenation Outperform Sophisticated Fusion and Augmentation for Asthma-COPD Classification from Pulmonary Sounds β€” 2026-06-10
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Integral Field Unit Ifu Spectroscopy

β€œIntegral field unit (IFU) spectroscopy provides spatially resolved spectra across galaxies, offering crucial insights into their evolution.”

paper: Probabilistic Foundation Model Predicts Galaxy Spectra from Broadband Images, Mimicking IFU Capabilities Without IFU Data β€” by Chris J. Maddison β€” 2026-06-10
Endorsed by Chris J. Maddison
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Multimodal Probabilistic Foundation Model

β€œWe present a multi-modal, probabilistic foundation model that predicts high-resolution spectra with calibrated uncertainties at arbitrary spatial locations within a galaxy directly from broadband imag…”

paper: Probabilistic Foundation Model Predicts Galaxy Spectra from Broadband Images, Mimicking IFU Capabilities Without IFU Data β€” by Chris J. Maddison β€” 2026-06-10
Endorsed by Chris J. Maddison
Details β†’
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Neural Network Nn Classifier

β€œThe model employs a neural network (NN) classifier to filter for single-mode designs (suppression ratio $\ge$ 50 dB), followed by a regressor that predicts confinement loss (CL).”

paper: Machine Learning Accelerates Discovery of Optimized Fiber Optic Designs β€” by Hugo Larochelle β€” 2026-06-10
Endorsed by Hugo Larochelle
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Machine Learning Framework

β€œWe propose a high-efficiency, two-stage machine learning framework designed to identify high-performance NANF designs using minimal training data.”

paper: Machine Learning Accelerates Discovery of Optimized Fiber Optic Designs β€” by Hugo Larochelle β€” 2026-06-10
Endorsed by Hugo Larochelle
Details β†’
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Gromovwasserstein Gw Distance

β€œThe Gromov--Wasserstein (GW) distance provides a framework for comparing metric measure spaces, regardless of their underlying structure or geometry.”

paper: k-NN Classifiers Achieve Universal Consistency via Gromov-Wasserstein Distance β€” 2026-06-10
Details β†’
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Fused Gromovwasserstein Fgw

β€œFurthermore, through a variant of GW known as fused Gromov--Wasserstein (fGW), it is also possible to incorporate node features in addition to graph structure.”

paper: k-NN Classifiers Achieve Universal Consistency via Gromov-Wasserstein Distance β€” 2026-06-10
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Gwknn Classifier

β€œBy viewing graphs as finitely supported metric measure spaces equipped with the pairwise distance metric and a uniform probability measure on the nodes, we obtain universal consistency of GW-kNN for t…”

paper: k-NN Classifiers Achieve Universal Consistency via Gromov-Wasserstein Distance β€” 2026-06-10
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Fgwknn Classifier

β€œLikewise for fGW-kNN, we prove universal consistency on the space of weak isomorphism classes of structured objects consisting of metric measure spaces with finite support and uniform probability meas…”

paper: k-NN Classifiers Achieve Universal Consistency via Gromov-Wasserstein Distance β€” 2026-06-10
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Mlp Residual Stack

β€œWe study the simplest architecture for which the analogy is tractable: a pure MLP residual stack trained on masked token prediction over synthetic Markov chain sequences with known spectral properties…”

paper: Quantitative Evidence That MLP Residual Networks Implement Selective Renormalization Group Flows β€” 2026-06-10
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Mlp Residual Networks

β€œTogether these findings constitute the first quantitative, position-level evidence that MLP residual networks implement a selective coarse-graining procedure governed by the spectral structure of the …”

paper: Quantitative Evidence That MLP Residual Networks Implement Selective Renormalization Group Flows β€” 2026-06-10
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Leap

β€œwe introduce Learning Europa's Atmosphere and Plasma (LEAP), a transformer-based surrogate trained on outputs from a state-of-the-art multi-fluid MHD code to predict magnetic field perturbations along…”

paper: LEAP: A Rapid Neural Surrogate Accelerates Plasma Interaction Modeling for Europa's Ocean Characterization β€” by Ashlee Vance β€” 2026-06-10
Endorsed by Ashlee Vance
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Copper

β€œNow if you want to look around the corner and see the next bottleneck coming, I strongly urge you to look at copper.”

Recommended on All-In with Chamath, Jason, Sacks & Friedberg β€” 2026-06-10
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Silver

β€œWe consume a billion2 ounces a year. We supply a billion ounces a year. So there's a 200 million ton deficit per year and we only have 600 million of above ground inventory left. So the clock's tickin…”

Recommended on All-In with Chamath, Jason, Sacks & Friedberg β€” 2026-06-10
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Minerals

β€œSo for our kids and for the country generation tool belt for us allocating get some exposure to copper silver minerals and then there's a bunch of service providers in and around that area that we sho…”

Recommended on All-In with Chamath, Jason, Sacks & Friedberg β€” 2026-06-10
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Dataiku

β€œDataiku gives companies one place to see, control, and measure every agent across the entire business.”

Recommended on Up First from NPR β€” 2026-06-10
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Xrp

β€œAnd in this bigger picture, XRP plays a defining role.”

Recommended on FinTech Futures β€” 2026-06-10
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Ono

β€œOno has already carved its place in history by launching the first tokenized US treasuries available worldwide.”

Recommended on FinTech Futures β€” 2026-06-10
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Xcode

β€œall the frontier models plug into that. So if you are an OpenAI Codex person, you write all your code in Codex, you use CloudCode, you can use those models inside of Xcode, their software development …”

Recommended on Channels with Peter Kafka β€” 2026-06-10
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Cloudcode

β€œall the frontier models plug into that. So if you are an OpenAI Codex person, you write all your code in Codex, you use CloudCode, you can use those models inside of Xcode, their software development …”

Recommended on Channels with Peter Kafka β€” 2026-06-10
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Airtable

β€œThe person at your company who runs the Airtable is the most powerful person at your company.”

Recommended on Channels with Peter Kafka β€” 2026-06-10
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Trello

β€œOr Trello or whatever it is that your company uses. But the person who runs that thing is the most powerful person because they get to reorganize the priorities.”

Recommended on Channels with Peter Kafka β€” 2026-06-10
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πŸ›  ToolsΓ—1 mentions

Fable 5

β€œI have heard some strong initial impressions about Fable's capabilities, and I was very impressed with Fable's review of this update, and will take it for granted that it is excellent.”

Recommended on Stratechery β€” 2026-06-10
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Cloud Fable 5

β€œThis is a significantly more serious intervention than any of the other guardrails, because Anthropic is fundamentally changing the experience of the model to be less helpful for Frontier LM developme…”

Recommended on Stratechery β€” 2026-06-10
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Rm

β€œWe introduce RM, a multi-task stage-aware reward model that combines an action-primitive-based stage estimator with a multi-gate Mixture-of-Experts (MMoE) value head to produce dense per-step rewards …”

paper: SARM2: Multi-Task Reward Modeling Enhances Robotic Manipulation Policy Improvement β€” by Ken Goldberg β€” 2026-06-10
Endorsed by Ken Goldberg
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Spiral

β€œBuilding on RM, we further propose SPIRAL (Self-Policy Improvement via Reward-Aligned Learning), an on-policy reward-guided framework that improves VLA policies from cheap autonomous rollouts.”

paper: SARM2: Multi-Task Reward Modeling Enhances Robotic Manipulation Policy Improvement β€” by Ken Goldberg β€” 2026-06-10
Endorsed by Ken Goldberg
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Nova

β€œWe introduce NOVA (Navigating via Observation, Verification, and Action) to make this viable in the combinatorially large UI state space, where the plan can invoke a perception model to resolve runtim…”

paper: Securing Computer Use Agents with NOVA: Balancing Security and Performance via Predictable UI Workflows β€” by Nicolas Papernot β€” 2026-06-10
Endorsed by Nicolas Papernot
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Guardnet

β€œThis work presents GuardNet, a guardrail system based on an ensemble of shallow neural networks (BiLSTMs) with approximately 47 million parameters.”

paper: GuardNet: Shallow Neural Network Ensemble for Efficient LLM Security Guardrails β€” by Fred Wilson β€” 2026-06-10
Endorsed by Fred Wilson
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Bespokecard

β€œWe present Bespoke-Card, an agent-driven system that synthesizes workload-specific cardinality estimators as executable code”

paper: Bespoke-Card: Synthesizing Workload-Specific Cardinality Estimators with Agent-Driven Code Generation β€” by Tamara Winter β€” 2026-06-10
Endorsed by Tamara Winter
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Mrlfads

β€œHere, we introduce Multi-Region Latent Factor Analysis via Dynamical Systems (MR-LFADS), a sequential variational autoencoder designed to disentangle inter-regional communication, inputs from unobserv…”

paper: MR-LFADS: A Variational Autoencoder for Disentangling Neural Communication β€” by David Sacks β€” 2026-06-10
Endorsed by David Sacks
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Strong Dms Ei Team

β€œStrong DM's EI team is an example of how to do this.”

Recommended on Y Combinator Startup Podcast β€” 2026-06-10
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Block

by Jack Dorsey

β€œA great example is what Jack Dorsey is doing over at Block.”

Recommended on Y Combinator Startup Podcast β€” 2026-06-10
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Bolzano

β€œproduced with the assistance of Bolzano, an open-source multi-agent LLM system.”

paper: Bolzano LLM System Delivers Autonomous Publishable Math Research β€” 2026-04-21
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Direct Preference Optimization

β€œIn particular, we adapt two widely used RLHF frameworks--Direct Preference Optimization (DPO) and Group Relative Policy Optimization (GRPO)--as our defenses by constructing preference pairs and defini…”

paper: Alignment Defenses Protect LLMs from Property Inference Attacks Without Retraining β€” by Kamalika Chaudhuri β€” 2026-06-10
Endorsed by Kamalika Chaudhuri
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Group Relative Policy Optimization

β€œIn particular, we adapt two widely used RLHF frameworks--Direct Preference Optimization (DPO) and Group Relative Policy Optimization (GRPO)--as our defenses by constructing preference pairs and defini…”

paper: Alignment Defenses Protect LLMs from Property Inference Attacks Without Retraining β€” by Kamalika Chaudhuri β€” 2026-06-10
Endorsed by Kamalika Chaudhuri
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Globallocal Skipping Strategy

β€œwe propose a training-free Global-Local Skipping Strategy that accelerates diffusion model-based 3D PET denoising while simultaneously improving reconstruction quality.”

paper: Training-Free Global-Local Trajectory Reduction Accelerates 3D PET Diffusion Denoising by an Order of Magnitude β€” by Tianqi Chen β€” 2026-06-10
Endorsed by Tianqi Chen
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Diffusionmodelbased Methods

β€œDiffusion-model-based methods have demonstrated strong potential for restoring low-count PET to near high-count quality”

paper: Training-Free Global-Local Trajectory Reduction Accelerates 3D PET Diffusion Denoising by an Order of Magnitude β€” by Tianqi Chen β€” 2026-06-10
Endorsed by Tianqi Chen
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Claudehaiku45

β€œIn the medical domain, claude-haiku-4-5 increases certainty of 20% examples after a single iteration, increasing to 40% after five iterations.”

paper: Language Models Exhibit Systematic Certainty Inflation Bias, Particularly in Rewriting Tasks β€” by Sameer Singh β€” 2026-06-10
Endorsed by Sameer Singh
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Chrome Enterprise

β€œKeep your employees and data safe with Chrome Enterprise, the most trusted enterprise browser.”

Recommended on WSJ Tech News Briefing β€” 2026-06-10
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Toriccode Quantum Memory

β€œHere we propose a protocol that stabilizes a toric-code quantum memory without moving, measuring or local addressing atoms.”

paper: Measurement-Free Toric-Code Quantum Memory Protocol for Neutral-Atom Arrays β€” 2026-06-11
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