absorb.md

What the smart people are recommending. 7867 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

Medqa Usmle Benchmark

β€œThis study presents a systematic evaluation of retrieval-augmented medical question answering using the MedQA USMLE benchmark and a structured textbook-based knowledge corpus.”

paper: RAG Optimizations for Medical Q&A β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Ghostty

β€œRecommended terminal emulators include: - **Ghostty** (Linux and macOS)”

github_readme: Mistral Vibe: An Open-Source CLI Coding Assistant Powered by Mistral AI Models β€” by Mistral AI β€” 2026-04-03
Endorsed by Mistral AI
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Work In Process

by Katie Arnold

β€œI also recommend subscribing to Katie's sub stack called Work in Process for her wonderful weekly essays.”

Recommended on Outside Podcast β€” 2026-04-08
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Langchainvectorstorespinecone

β€œfrom langchain.vectorstores import Pinecone”

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Langchainembeddingsopenaiopenaiembeddings

β€œfrom langchain.embeddings.openai import OpenAIEmbeddings”

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Llamaindexagenticragipynb

by LLamaIndex

β€œllamaindex_agentic_rag.ipynb”

github_readme: Mistral AI Cookbook: Community-Driven LLM Application Development β€” by Mistral AI β€” 2026-04-02
Endorsed by Mistral AI
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Promptoptimizationipynb

by metagpt

β€œprompt_optimization.ipynb”

github_readme: Mistral AI Cookbook: Community-Driven LLM Application Development β€” by Mistral AI β€” 2026-04-02
Endorsed by Mistral AI
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πŸ›  ToolsΓ—1 mentions

Stroutputparser

β€œfrom langchain.schema.output_parser import StrOutputParser”

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Runnablepassthrough

β€œfrom langchain.schema.runnable import RunnablePassthrough”

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Langchaincoreoutputparsersstroutputparser

β€œfrom langchain_core.output_parsers import StrOutputParser”

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Runnablelambda

β€œfrom langchain.schema.runnable import RunnableLambda”

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Langchaincorerunnablesrunnablelambda

β€œfrom langchain_core.runnables import RunnableLambda”

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Duckduckgosearchapiwrapper

β€œfrom langchain.utilities import DuckDuckGoSearchAPIWrapper”

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Langchaincorerunnablesrunnablepassthrough

β€œfrom langchain_core.runnables import RunnablePassthrough”

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Langchaincorerunnablesrunnablebinding

β€œfrom langchain_core.runnables import RunnableBinding”

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Langchaincorerunnablesconfigurablefield

β€œfrom langchain_core.runnables import ConfigurableField”

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Keras With Jax

by FranΓ§ois Chollet

β€œIf you're not using Keras with JAX you're ngmi”

tweet: Keras with JAX Recommended for Optimal AI Development β€” by FranΓ§ois Chollet β€” 2026-04-05
Endorsed by FranΓ§ois Chollet
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πŸ›  ToolsΓ—1 mentions

Langchainchainsopenaifunctions

by LangChain

β€œfrom langchain.chains.openai_functions import create_structured_output_runnable”

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Short Eurofins Erffp

by Muddy Waters

β€œ# MW is Short Eurofins (ERF.FP)”

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Langchainchatmodels

by LangChain

β€œfrom langchain.chat_models import ChatOpenAI”

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Langchainpydanticv1

by LangChain

β€œfrom langchain.pydantic_v1 import BaseModel, Field”

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Langchainschemamessages

by LangChain

β€œfrom langchain.schema.messages import AIMessage, HumanMessage”

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Lumbermark

β€œA fast, easy-to-use implementation of the new method is available in the open-source 'lumbermark' package for Python and R. We show that Lumbermark performs well on benchmark data and hope it will pro…”

paper: Lumbermark: A Robust Divisive Clustering Algorithm β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Langchainmemorychatmessagehistories

by LangChain

β€œfrom langchain.memory.chat_message_histories import ChatMessageHistory”

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Langchainschemarunnablehistory

by LangChain

β€œfrom langchain.schema.runnable.history import RunnableWithMessageHistory”

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Shapley Additive Explanations Shap

β€œSHapley Additive exPlanations (SHAP) analysis is an explainable AI method growing in popularity for its ability to explain model predictions in terms of the original features.”

paper: SHAP Analysis: Model-Dependent Interpretations and Multi-Classification Generalization β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Langchainpromptsprompttemplate

β€œfrom langchain.prompts import PromptTemplate”

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Langchainchatmodelschatanthropic

β€œfrom langchain.chat_models import ChatAnthropic”

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Langchainagentstool

β€œfrom langchain.agents import XMLAgent, tool, AgentExecutor”

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Langchainagentsagentexecutor

β€œfrom langchain.agents import XMLAgent, tool, AgentExecutor”

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Langchainschemarunnablerunnablebranch

β€œfrom langchain.schema.runnable import RunnableBranch”

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Langchainagents

β€œfrom langchain.agents import load_tools from langchain.agents import initialize_agent from langchain.agents import AgentType”

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Toy Demonstration Of Chainofthought And Consensus Prompting Using Openai Api

by Riley Goodside

β€œToy demonstration of chain-of-thought and consensus prompting using OpenAI API.”

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Langchainvectorstoreschroma

β€œfrom langchain.vectorstores import Chroma”

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Langchainschemarunnablerunnablepassthrough

β€œfrom langchain.schema.runnable import RunnablePassthrough”

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Langchainschemarunnablerunnablemap

β€œfrom langchain.schema.runnable import RunnableMap”

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Langchainschemaformatdocument

β€œfrom langchain.schema import format_document”

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Langchainmemoryconversationbuffermemory

β€œfrom langchain.memory import ConversationBufferMemory”

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Fx Twitters Api

β€œit uses FX Twitter's API, which is apparently free.”

Recommended on ChatGPT: OpenAI, Sam Altman, AI, Joe Rogan, Artificial Intelligence, Practical AI β€” by Sam Altman β€” 2026-04-08
Endorsed by Sam Altman
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Official X Api V2

β€œThen I use the expensive tier three as another fallback. The official X API v2.”

Recommended on ChatGPT: OpenAI, Sam Altman, AI, Joe Rogan, Artificial Intelligence, Practical AI β€” by Sam Altman β€” 2026-04-08
Endorsed by Sam Altman
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πŸ›  ToolsΓ—1 mentions

Gemini 31 Flash Lite

by Google

β€œRelease of Gemini 3.1 Flash Lite to Developers in the Google API”

blog: Google's Gemini AI: Evolution and Competitive Landscape β€” by Gemini (language model) β€” 2026-04-18
Endorsed by Gemini (language model)
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πŸ›  ToolsΓ—1 mentions

Mowgli

by Neil Agarwal, Ray Pan, Ravinet Travali, Francis Yan

β€œMy name is Neil Agarwal and I'm excited to present Mowgli, passively learned rate control for realtime video.”

youtube: Mowgli: Offline RL for Real-time Video Rate Control β€” by Ravi Netravali β€” 2026-04-06
Endorsed by Ravi Netravali
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πŸ›  ToolsΓ—1 mentions

Jackcornfieldcom

β€œI highly recommend heading to jackcornfield.com and signing up for his year-long program, Living the Dharma in a Troubled World.”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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Alphatensor

β€œAnd the equivalent of a move 37 would be like alpha tensor finding a new algorithm that makes you know matrix multiplication faster.”

youtube: AI as a Scientific Accelerator: From Protein Folding to AGI β€” by Demis Hassabis β€” 2026-04-07
Endorsed by Demis Hassabis
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Fidelity Trader Plus

β€œIntroducing Fidelity Trader Plus, the next generation of advanced trading from Fidelity. Customize your tools and charts and access them seamlessly across desktop, web, and mobile. For faster trades a…”

Recommended on WSJ What’s News β€” 2026-04-06
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Gratefulorg

by Brother David Stendelrast

β€œHe has a fantastic website called I think grateful or gratitude dot org full of practices of gratitude.”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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Discretetime Markovstate Framework

β€œThis framework provides a compact and physically transparent tool for analyzing and optimizing digitally stabilized lasers in integrated photonic systems.”

paper: Markov-State Modeling for Digital Laser Stabilization β€” 2026-04-09
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Cadence

β€œTo address this challenge, we present CADENCE, an adaptive system that dynamically scales the computational complexity of a slimmable monocular depth estimation network in response to navigation needs…”

paper: CADENCE: Adaptive Depth Estimation for Resource-Constrained Autonomous Navigation β€” 2026-04-09
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Microsoft Airsim

by Microsoft

β€œWe conduct evaluations on our released open-source testbed that integrates Microsoft AirSim with an NVIDIA Jetson Orin Nano.”

paper: CADENCE: Adaptive Depth Estimation for Resource-Constrained Autonomous Navigation β€” 2026-04-09
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Schrdingerbass Bridge For Time Series Sbbts

β€œThese results show that SBBTS provides a practical and effective framework for realistic time series generation and data augmentation in financial applications.”

paper: SchrΓΆdinger-Bass Bridge for Time Series (SBBTS) for Synthetic Financial Time Series Generation β€” 2026-04-09
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Propositional Linear Temporal Logic Ltl

β€œPropositional Linear Temporal Logic (LTL) is a popular formalism for specifying desirable requirements and security and privacy policies for software, networks, and systems.”

paper: LLMs Struggle with Semantic Nuance in LTL Translation β€” 2026-04-09
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Contextify

β€œTo explore this concept, we implement Contextify as a probe system and conduct a user study examining users' context management behaviors, attitudes toward AI initiative, and overall collaboration exp…”

paper: Structured Context Management Improves Human-AI Collaboration β€” 2026-04-09
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Aeros Agent Execution Runtime Operating System

β€œWe formalize this view as AEROS (Agent Execution Runtime Operating System), in which each robot corresponds to one persistent agent and capabilities are provided through Embodied Capability Modules (E…”

paper: AEROS: A Single-Agent Operating System for Embodied AI β€” 2026-04-09
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Separation Of Power Sop Model

β€œWe propose the Separation of Power (SoP) model, a constitutional governance architecture deployed on public blockchain that breaks this monopoly through three structural separations”

paper: Decentralized Governance of Multi-Agent Economies via Separation of Power β€” 2026-04-09
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Openspatial

β€œBy open-sourcing both the engine and the 3M-scale dataset, we provide a robust foundation to accelerate future research in spatial intelligence.”

paper: OpenSpatial: An Open-Source Engine and Dataset for Advancing Spatial AI β€” 2026-04-09
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Uiintheloop Uiloop

β€œTo enhance the understanding and interaction with UIs, we propose an innovative GUI reasoning paradigm called UI-in-the-Loop (UILoop).”

paper: UI-in-the-Loop: A New Paradigm for Multimodal GUI Reasoning β€” 2026-04-09
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Continuous Interpretive Steering Cis

β€œthis study introduces Continuous Interpretive Steering (CIS), a method that probes graded pragmatic interpretation by treating activation-level steering strength as a continuous experimental variable.”

paper: Continuous Interpretive Steering and Graded Scalar Diversity in LLMs β€” 2026-04-09
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Grasd

β€œTo support this analysis, this study introduces a new dataset, GraSD, which encodes graded scalar diversity.”

paper: Continuous Interpretive Steering and Graded Scalar Diversity in LLMs β€” 2026-04-09
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Dptost

β€œOur approach introduces a unified framework, termed DP-TOST, for conducting differentially private equivalence testing of both means and proportions.”

paper: Differentially Private Equivalence Testing (DP-TOST) for Sensitive Data Analysis β€” 2026-04-09
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O3ls

β€œTo address these challenges, we introduce O3LS, a framework for optimizing lattice surgery through automatic layout search and loose scheduling.”

paper: O3LS: A Novel Framework for Optimized Lattice Surgery in Quantum Error Correction β€” 2026-04-17
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Reproducible Benchmark Pipeline

β€œWe release a reproducible benchmark pipeline, aggregated results, and paired statistical analyses to support deployment-oriented evaluation of reasoning LLMs under real resource constraints.”

paper: Efficiency-Accuracy Trade-offs in Reasoning LLMs: Beyond MoE β€” 2026-04-09
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Skill Automation Feasibility Index Safi

β€œWe present the Skill Automation Feasibility Index (SAFI), benchmarking four frontier LLMs -- LLaMA 3.3 70B, Mistral Large, Qwen 2.5 72B, and Gemini 2.5 Flash -- across 263 text-based tasks spanning al…”

paper: LLM Automation Feasibility of Skills β€” 2026-04-09
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Ai Impact Matrix

β€œCross-referencing with real-world AI adoption data from the Anthropic Economic Index (756 occupations, 17,998 tasks), we propose an AI Impact Matrix -- an interpretive framework that positions skills …”

paper: LLM Automation Feasibility of Skills β€” 2026-04-09
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Marmoka

β€œAdditionally, we introduce Marmoka, a family of lightweight 8B-parameter clinical LLMs for English and Spanish, developed via continual domain-adaptive pretraining on medical corpora and instructions.”

paper: Domain Adaptation in Medical LLMs Shows Limited Benefit in English, Stronger in Spanish β€” 2026-04-09
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Wrap Web Discovery Amplified Pretraining

β€œWe propose WRAP++ (Web discoveRy Amplified Pretraining), which amplifies the associative context of factual knowledge by discovering cross-document relationships from web hyperlinks and synthesizing j…”

paper: WRAP++: Amplifying LLM Pretraining with Cross-Document Relational Knowledge β€” 2026-04-09
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Ratedistortion Mdl Rdmdl

β€œCombining it with a traditional approach for the causal mechanism, we introduce a new bivariate causal discovery method, termed rate-distortion MDL (RDMDL).”

paper: Rate-Distortion MDL for Improved Bivariate Causal Discovery β€” 2026-04-09
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Fastml

β€œWe present fastml, an R package that provides a single-call interface for leakage-aware machine learning through guarded resampling, where preprocessing is re-estimated inside each resample and applie…”

paper: fastml: Mitigating Preprocessing Leakage in Automated Machine Learning for R β€” 2026-04-09
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Jeffreys Flow

β€œHere, we introduce the Jeffreys Flow, a robust generative framework that mitigates this failure by distilling empirical sampling data from Parallel Tempering trajectories using the symmetric Jeffreys …”

paper: Jeffreys Flow: A Robust Generative Framework for Rare Event Sampling β€” 2026-04-09
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Qpalign

β€œOn the algorithmic side, we propose QPAlign, an algorithm based on a quadratic programming relaxation, and demonstrate its strong empirical performance on both synthetic and real datasets. Moreover, w…”

paper: Information-Theoretic Limits and QP Relaxation for Attributed Network Alignment β€” 2026-04-09
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Nexus Optimizer

β€œTo address this, we propose the Nexus optimizer, which encourages the closeness of these minima by maximizing gradient similarity during optimization. Experiments across models ranging from 130M to 3B…”

paper: Nexus Optimizer Aligns Task Minima for Superior Downstream Generalization at Identical Pretraining Loss β€” 2026-04-13
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