3 Magnificent AI Stocks to Buy Before the Anthropic IPO
Anthropic recently filed its S-1 with the Securities and Exchange Commission, signaling a public debut later this year.
Anthropic recently filed its S-1 with the Securities and Exchange Commission, signaling a public debut later this year.
Anthropic called for a coordinated slowdown in AI development, warning that AI capabilities could advance faster than society ...
Anthropic calls on world leaders to weigh AI risks as systems approach ability to improve without human oversight.
Anthropic said artificial intelligence is advancing so rapidly that an industry-wide pause is needed to slow the pace of development while companies get a handle on potential societal risks.
AI’s next phase depends on who controls compute. Forbes contributors examine how Anthropic, OpenAI and Nvidia shape the model, hardware and policy forces driving the AI economy.
Anthropic is joining in on the IPO fray to win tens of billions in capital and likely a valuation in the trillions. This IPO ...
"We believe it would be good for the world to have the option to slow or temporarily pause," two leading Anthropic officials ...
Anthropic warns self‑improving AI could outpace human control, urging a slowdown as risks grow and systems begin advancing on their own.
By Aditya Soni June 5 (Reuters) - Anthropic is calling on major artificial intelligence labs to consider a coordinated and ...
Anthropic has launched Claude Opus 4.8, a new AI model. It offers better coding and reasoning abilities. Users can now ...
OpenAI is extending its cybersecurity-tuned frontier model, GPT-5.5-Cyber, to Europe under a newly announced EU Cyber Action Plan, opening limited-preview access to vetted European defenders,
Anthropic has launched Claude Opus 4.8, a new AI model. It offers better coding and reasoning abilities. Users can now ...
OpenAI Lost It's Trademark Rights to GPT at USPTO and TTAB. Then, Through General Counsel Che Chang and Pirkey Barber Attorney Christopher M. Weimer, Challenged FreedomGPT's Granted Trademark Application Anyway. AUSTIN, TX / ACCESS Newswire / June ...
I have been interested in long-horizon coding tasks for a while, especially with benchmarks like FrontierSWE, where even the best coding agents like Codex and Claude Code struggle to complete tasks.These agents come with a collection of tools like bash, file edits, grep, glob, etc.Lazarus takes a different approach. The idea is to give the model exactly one tool: a persistent Python runtime.Model writes Python code, executes it, and receives stdout/stderr. Through Python it inspects repos,
I have been working on multiple projects lately involving AI endpoints (including some I run locally) and I found I needed a way to easily load balance across multiple. Sometimes my on-prem would not be able to handle to load and Id have to crank up the z.ai usage or Anthropic depending on where my credits were at the time.One thing led to another and I ended up writing Busbar: An LLM gateway, written in Rust (I have a thing for Rust lately). You point your existing OpenAI/Anthropic/Ge
Making sense of what you get from Claude AI at the free tier, especially as limits are vague and keep shifting.
Anthropic says its Claude AI is no longer just helping humans write code. It is increasingly helping build the next ...
EvidenceLoop demo for the SANS FIND EVIL! hackathon. Built with OpenAI Codex GPT-5.5. Demonstrates local-first PCAP triage, live LLM-assisted analysis, validation, follow-up gaps, and traceable artifacts.
We built this library because agent harnesses were too fragmented and we needed a simple abstraction to call multiple coding-agent SDKs.lite-harness has one function - query()import { query } from "@lite-harness/sdk";for await (const message of query({ prompt: "Fix the failing test", options: { // swap harness between: "claude-agent", "openai-agents", "pi-ai" harness: "openai-agents", model: "gpt-5.5&
Hey HN, we’re Shalin & Kanyes, best friends who've been hacking together for 10+yrs, and now founders of Hyper (https://heyhyper.ai/). Hyper is a shared “company brain” that plugs into information flowing inside a company to make AI agents and automations better and ultimately save people time.Models have gotten good enough that they can (mostly) take on long-horizon, complex tasks. We believe the bottleneck now is that these smart-enough models often lack information abo