CSP Allow-list Experiment
CSP Allow-list Experiment
CSP Allow-list Experiment
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 ...
Update to 0.0.40
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
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 ...
Create Vercel WAF custom security and firewall rules using natural language. Describe your firewall needs and let AI generate the rule configuration.
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),
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
Access large language models from the command-line
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
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
See how finance teams can use Codex to build MBRs, reporting packs, variance bridges, model checks, and planning scenarios from real work inputs.
On a 2006 email from my dad's colleague, the parser I wrote in response, and what I got paid in.
How a fake LinkedIn recruiter used a Google Drive Git repo, malicious hooks, and obfuscated JavaScript malware to compromise developers and steal files.
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
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 …
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.
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 ...
Stable Diffusion web UI. Contribute to AUTOMATIC1111/stable-diffusion-webui development by creating an account on GitHub.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step - rasbt/LLMs-from-scratch
《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.
Your agent writes bad React. This catches it. Contribute to millionco/react-doctor development by creating an account on GitHub.
3D Gaussian Splat Editor. Contribute to playcanvas/supersplat development by creating an account on GitHub.
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra - bytedance/UI-TARS-desktop
This interview was recorded for GOTO Unscripted. #GOTOcon #GOTOunscriptedhttps://gotopia.techRichard Feldman - Software Engineer at Zed Industries & Author o...