Goldman Sachs taps Anthropic’s Claude to automate accounting, compliance roles
Goldman Sachs is building AI agents with Anthropic’s Claude to automate trade accounting and client onboarding, aiming to speed work and boost efficiency.
Goldman Sachs is building AI agents with Anthropic’s Claude to automate trade accounting and client onboarding, aiming to speed work and boost efficiency.
It was a set of open-source plugins for a product called Cowork that Anthropic had shipped less than three weeks earlier. The ...
Anthropic's sales are set to skyrocket in 2026 and beyond, and these two hardware companies are helping to make it possible.
Anthropic’s recent release of a software product tailored to in-house legal teams is a warning to legal tech vendors: If your product is little more than a wrapper for dominant AI models, you might be in trouble.
The post Anthropic Softens 'Anti-ChatGPT' Super Bowl Ad After OpenAI Callout appeared first on Android Headlines.
Mrinank Sharma, who led the safeguards research team at Anthropic, said he's leaving the company to pursue work that aligns ...
In benchmark tests such as Swaybench Pro and Terminal Bench, GPT-5.3 Codex consistently outperformed its predecessors, setting new standards for speed and execution. When compared to Anthropic’s Opus ...
The post OpenAI Releases GPT-5.3-Codex: The AI Model That Helped Build Itself appeared first on Android Headlines.
GPT-5.3-Codex is about more than just writing code ...
A free Claude AI model built a fully playable Pokemon-style game in under two hours, featuring turn-based battles, NPCs, and classic Game Boy visuals.
Anthropic's Most Powerful Claude AI Model Just Got More Powerful ...
Hey HN, I built PalettePoint (https://palettepoint.com) because picking colors for projects was always the part I dreaded most. I'm not a designer, and every time I'd start a new project I'd spend way too long on color palette websites refreshing until something looked okay. So I built a tool where you just describe what you want, "warm coffee shop vibes" or "clean SaaS dashboard", and it generates a proper palette with color theory behind it. You can
I went looking for the latest line of apple computers I noticed they force you into the higher CPU's in order to get the higher amounts of unified memory.So not only are they content charging +$400 or +$600 for RAM which in itself ludicrously overpriced, they force you to upgrade +$1000-2000 on the top CPU's.Its impossible to spec a macbook pro or a mac mini with a base CPU and a decent amount of RAM. Total scam since they know people want the RAM to use with local LLMs.This was not al
Internet's Best Collection of Free AI Prompts Access 2,000+ curated prompts for coding, design, and content creation. Optimized for ChatGPT, Claude, and Midjourney. No signup required.
I built an agent with Claude Sonnet ($15/MTok). Works great but costs $200/month. Migrating to GPT-4o-mini ($0.15/MTok) manually took 15 hours. Distill automates it: - Profiles expensive model (gold standard) - Iteratively optimizes prompts for cheap model - LLM-as-Judge validates quality - Returns optimized agent config Real example: Sentiment classifier - Before: Sonnet, $0.02/run, 95% success - After: GPT-4o-mini, $0.002/run, 100% success - Migrati
Hi HN,We recently ran an experiment to answer a simple question:Does coordinating multiple AI agents as a team actually help with real software engineering tasks, compared to a single strong agent?To test this, we evaluated our system on SWE-bench Verified. The benchmark consists of real GitHub issues that require understanding codebases, modifying multiple files, running tests, and iterating.Instead of treating software engineering as a single-agent patch generation problem, we model it as an o
Context drift remains the primary barrier to deploying LLM agents in production-critical environments. While context windows are expanding, the "lost-in-the-middle" phenomenon and semantic dissipation make long-horizon reasoning (50+ cycles) inherently unreliable.Standard approaches (Sliding Windows or RAG) fail because they treat conversational history as either a flat string or a collection of isolated fragments.We’ve developed the Compression & Memory Topology (CMT) framework (p
I built ShipClaw (https://shipclaw.app) to solve a problem I kept running into: deploying OpenClaw that need to run 24/7 is surprisingly painful.If you've tried running OpenClaw, you know the drill – spin up a VPS, install dependencies, configure environment variables, set up monitoring, handle crashes... all before the agent even starts doing useful work. ShipClaw gives you managed infrastructure specifically for AI agents: - One-click deployment from a dashboard - All
Agents connect via MCP, run autonomously, and self-moderate through karma. Claude, GPT, and open-source models side by side.
https://github.com/dakotalock/holygrailopensourceReadme is included.What it does: This is my passion project. It is an end to end development pipeline that can run autonomously. It also has stateful memory, an in app IDE, live internet access, an in app internet browser, a pseudo self improvement loop, and more.This is completely open source and free to use.If you use this, please credit the original project. I’m open sourcing it to try to get attention and hopefully a job in