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2 today · -1 vs avg
one paragraph note on what claude got wrong
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13 may 4
simon willison 1w

CSP Allow-list Experiment

CSP Allow-list Experiment

bun releases 1w

oven-sh/bun Bun v1.3.14

To install Bun v1.3.14 curl -fsSL https://bun.sh/install | bash # or you can use npm # npm install -g bun Windows: powershell -c "irm bun.sh/install.ps1|iex" To upgrade to Bun v1.3.14: bun upgrade ...

cline releases 1w

cline/cline sdk-v0.0.40

Update to 0.0.40

vercel 1w

Trusted Sources for Deployment Protection

You can now authorize specific Vercel projects and external CI services to reach this project's protected deployments using short-lived OIDC tokens, without sharing a static bypass secret or opening the deployment to the public internet

12 may 8
claude-code releases 1w

anthropics/claude-code v2.1.140

What's changed Improved Agent tool subagent_type matching to accept case- and separator-insensitive values (e.g. "Code Reviewer" resolves to code-reviewer) Updated agent color palette Fixed /goal ...

vercel 1w

Create Vercel Firewall rules with natural language

Create Vercel WAF custom security and firewall rules using natural language. Describe your firewall needs and let AI generate the rule configuration.

arxiv cs.AI 1w

Learning, Fast and Slow: Towards LLMs That Adapt Continually

Large language models (LLMs) are trained for downstream tasks by updating their parameters (e.g., via RL). However, updating parameters forces them to absorb task-specific information, which can result in catastrophic forgetting and loss of plasticity. In contrast, in-context learning with fixed LLM parameters can cheaply and rapidly adapt to task-specific requirements (e.g., prompt optimization),

arxiv cs.AI 1w

Solve the Loop: Attractor Models for Language and Reasoning

Looped Transformers offer a promising alternative to purely feed-forward computation by iteratively refining latent representations, improving language modeling and reasoning. Yet recurrent architectures remain unstable to train, costly to optimize and deploy, and constrained to small, fixed recurrence depths. We introduce Attractor Models, in which a backbone module first proposes output embeddin

simon willison 1w

llm 0.32a2

Access large language models from the command-line

arxiv cs.CL 1w

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection

We introduce TextSeal, a state-of-the-art watermark for large language models. Building on Gumbel-max sampling, TextSeal introduces dual-key generation to restore output diversity, along with entropy-weighted scoring and multi-region localization for improved detection. It supports serving optimizations such as speculative decoding and multi-token prediction, and does not add any inference overhea

arxiv cs.CL 1w

A Causal Language Modeling Detour Improves Encoder Continued Pretraining

When adapting an encoder to a new domain, the standard approach is to continue training with Masked Language Modeling (MLM). We show that temporarily switching to Causal Language Modeling (CLM) followed by a short MLM decay improves downstream performance. On biomedical texts with ModernBERT, this CLM detour outperforms MLM baselines trained on identical data and compute across 8 French and 11 Eng

openai blog 1w

How finance teams use Codex

See how finance teams can use Codex to build MBRs, reporting packs, variance bridges, model checks, and planning scenarios from real work inputs.

11 may 18
r/coolgithubprojects 1w

[TypeScript] ContainerFlow - Real-time Docker dashboard with accurate memory monitoring, Discord alerts, and config recommendations

r/coolgithubprojects 1w

A Dead-Simple Static Site Generator in Go

r/programming 1w

Froot Loops and a graphics card: reflecting on twenty years of programming

On a 2006 email from my dad's colleague, the parser I wrote in response, and what I got paid in.

r/programming 1w

Be careful with your Git: Investigating malware spreading through Git repositories

How a fake LinkedIn recruiter used a Google Drive Git repo, malicious hooks, and obfuscated JavaScript malware to compromise developers and steal files.

r/MachineLearning 1w

I tested reasoning models on the problems where surface-level thinking fails — AIME, proof sketches, and "why does this code have a subtle off-by-one", [D]

I've been running a somewhat unusual benchmark suite. Not the standard automated ones — I've been feeding different reasoning models a collection of \~120 problems that I've personally verified require "deep reasoning" rather than pattern matching. The mix: \~40 AIME-style competition math, \~30 GPQA-level scientific reasoning, \~25 ARC-style abstract reasoning, and \~25 "real world" problems (sub

r/coolgithubprojects 1w

RustNet Cross-platform network monitoring TUI with eBPF process attribution

simon willison 1w

Learning on the Shop floor

Tobias Lütke describes Shopify's internal coding agent tool, River, which operates entirely in public on their Slack: River does not respond to direct messages. She politely declines and suggests to …

r/MachineLearning 1w

Interactive Jensen–Shannon Divergence Visualisation [P]

An interactive visualisation of Jensen–Shannon divergence - the symmetric, always-finite cousin of KL. Shape two distributions and watch JSD, its ceiling of one bit, and the per-point contribution respond in real time. https://robotchinwag.com/posts/jensen-shannon-divergence-visualisation/ Feedback welcome.

r/programming 1w

8317277: Java language implementation of value classes and objects by MrSimms · Pull Request #31120 · openjdk/jdk

This pull request implements the first preview of JEP 401: Value Classes and Objects: JDK-8317277: Java language implementation of value classes and objects 8317277: Java language implementation ...

r/programming 1w

7 lines of code, 3 minutes: Implement a programming language

github trending 1w

AUTOMATIC1111/stable-diffusion-webui — Stable Diffusion web UI

Stable Diffusion web UI. Contribute to AUTOMATIC1111/stable-diffusion-webui development by creating an account on GitHub.

github trending 1w

rasbt/LLMs-from-scratch — Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step - rasbt/LLMs-from-scratch

github trending 1w

Lordog/dive-into-llms — 《动手学大模型Dive into LLMs》系列编程实践教程

《动手学大模型Dive into LLMs》系列编程实践教程. Contribute to Lordog/dive-into-llms development by creating an account on GitHub.

github trending 1w

millionco/react-doctor — Your agent writes bad React. This catches it

Your agent writes bad React. This catches it. Contribute to millionco/react-doctor development by creating an account on GitHub.

github trending 1w

playcanvas/supersplat — 3D Gaussian Splat Editor

3D Gaussian Splat Editor. Contribute to playcanvas/supersplat development by creating an account on GitHub.

github trending 1w

bytedance/UI-TARS-desktop — The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra - bytedance/UI-TARS-desktop

r/coolgithubprojects 1w

I built a complete IR-free self-hosting x86-64 toolchain from scratch (compiler + assembler + linker)

r/programming 1w

Roc & Zig: A Compiler Rewrite Story • Anjana Vakil & Richard Feldman

This interview was recorded for GOTO Unscripted. #GOTOcon #GOTOunscriptedhttps://gotopia.techRichard Feldman - Software Engineer at Zed Industries & Author o...

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