RememberboxA text-first reading library | Saved | 751 |
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2026-05-24
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| vnav.mit.edu |
2026-05-22
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| GitHub - browserbase/stagehand: The SDK For Browser Agents The SDK For Browser Agents. Contribute to browserbase/stagehand development by creating an account on GitHub. |
2026-05-21
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| How's Linear so fast? A technical breakdown breakdown of the architecture behind Linear's speed: local-first sync, MobX observables, instant first loads, and a keyboard-first design. |
2026-05-19
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| browse.sh — open catalog of browser automation skills browse.sh — an open catalog of browser automation skills for any website. Find reusable SKILL.md recipes that teach AI agents to complete tasks online, and install them with the browse CLI. |
2026-05-17
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| GitHub - bytecodealliance/wasmtime: A lightweight WebAssembly runtime that is fast, secure, and standards-compliant A lightweight WebAssembly runtime that is fast, secure, and standards-compliant - bytecodealliance/wasmtime |
2026-05-16
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| MeMo: Memory as a Model Large language models (LLMs) achieve strong performance across a wide range of tasks, but remain frozen after pretraining until subsequent updates. Many real-world applications require timely, domain-specific information, motivating the need for efficient mechanisms to incorporate new knowledge. In this paper, we introduce MeMo (Memory as a Model), a modular framework that encodes new knowledge into a dedicated memory model while keeping the LLM parameters unchanged. Compared to existing methods | |
| GitHub - ModernRelay/omnigraph: Lakehouse native graph engine with git-style workflows Lakehouse native graph engine with git-style workflows - ModernRelay/omnigraph | |
| GitHub - Kappaemme-git/local-client-prospector-skill Contribute to Kappaemme-git/local-client-prospector-skill development by creating an account on GitHub. | |
| GitHub - vercel-labs/zerolang: The Programming Language for Agents The Programming Language for Agents. Contribute to vercel-labs/zerolang development by creating an account on GitHub. |
2026-05-14
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| GitHub - h4ckf0r0day/obscura: The headless browser for AI agents and web scraping The headless browser for AI agents and web scraping - h4ckf0r0day/obscura | |
| GitHub - justrach/kuri: Browser automation, web crawling, and iOS + Android device control for AI agents. Zig-native, token-efficient CDP snapshots, HAR recording, native adb wire-protocol client, and a standalone fetcher. Browser automation, web crawling, and iOS + Android device control for AI agents. Zig-native, token-efficient CDP snapshots, HAR recording, native adb wire-protocol client, and a standalone fetcher... |
2026-05-13
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| cofounder.co | |
| Supertone/supertonic-3 · Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science. | |
| Lanczos resampling From Wikipedia, the free encyclopedia |
2026-05-12
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| GitHub - usgraphics/usgc-invoice: Invoice LaTeX template Invoice LaTeX template. Contribute to usgraphics/usgc-invoice development by creating an account on GitHub. | |
| Acton — a unified toolchain for TON Acton is an all-in-one CLI built around Tolk — from project creation to tests, debugging, dApp integration, deployment, and verification. |
2026-05-11
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| Hermes Agent — The Agent That Grows With You Hermes Agent — a standalone terminal app and a native application for macOS, Windows, and Linux. Install it and start a conversation with the agent that grows with you. | |
| arxiv.org | |
| Fast Byte Latent Transformer Recent byte-level language models (LMs) match the performance of token-level models without relying on subword vocabularies, yet their utility is limited by slow, byte-by-byte autoregressive generation. We address this bottleneck in the Byte Latent Transformer (BLT) through new training and generation techniques. First, we introduce BLT Diffusion (BLT-D), a new model and our fastest BLT variant, trained with an auxiliary block-wise diffusion objective alongside the standard next-byte prediction |
2026-05-10
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| Automatic differentiation In mathematics and computer algebra, automatic differentiation (auto-differentiation, autodiff, or AD), also called algorithmic differentiation, computational differentiation, and differentiation arithmetic[1][2][3][4] is a set of techniques to evaluate the partial derivative of a function specified by a computer program. Automatic differentiation enables the simultaneous computation of the numerical values of arbitrarily complex functions and their derivatives using only the function itself; no | |
| What Happens When Superhuman AIs Compete for Control? .... |
2026-05-07
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| Softmax — Scaling Alignment An independent research lab building the science of organic alignment through multi-agent reinforcement learning. |
2026-05-06
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| GitHub - b-nnett/codex-plusplus: Codex++ tweak system for the Codex desktop app Codex++ tweak system for the Codex desktop app. Contribute to b-nnett/codex-plusplus development by creating an account on GitHub. |
2026-05-05
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| GitHub - goldtetsola/opencode-bridge Contribute to goldtetsola/opencode-bridge development by creating an account on GitHub. | |
| GitHub - remotion-dev/html-in-canvas Contribute to remotion-dev/html-in-canvas development by creating an account on GitHub. |