Anthropic CEO Dario Amodei’s volatile personality and penchant for public rants has sparked growing concerns among the AI ...
Anthropic's head of growth, Amol Avasare, said the AI lab has such an open culture that employees can give feedback to top leadership.
Anthropic introduces extra charges for OpenClaw in Claude Code, signaling shift toward tiered pricing in AI developer tools ...
Anthropic is removing third-party tools like OpenClaw from its subscription to balance demand and strain.
Anthropic said third-party tools like OpenClaw put an "outsized strain on our systems." OpenClaw's founder said cutting ...
Anthropic has purchased the stealth biotech AI startup Coefficient Bio in a $400 million stock deal, according to The ...
Anthropic has been scrambling to contain a self-inflicted mess after it accidentally leaked a treasure trove of internal code ...
OpenAI (OPENAI) and Anthropic (ANTHRO) are both reportedly gearing up for huge IPOs later this year. Seeking Alpha analysts ...
Perplexity AI allegedly shared private user chats with Meta and Google through hidden trackers, violating California privacy ...
Perplexity AI vs Google Gemini 2026 comparison. Discover best AI tools for research, writing, and productivity in India with pros, cons, and use cases.
Like many solo devs and indie hackers, I was paying $100+/mo for enterprise SEO tools (Ahrefs, Semrush) but only using about 5% of their features. I really just needed basic keyword research, SERP difficulty analysis, and simple rank tracking.I wanted to see what the actual floor was for raw SEO data if you stripped away the fluff and enterprise bloat.I spent the last few months wiring together different data sources to find out. I got my costs down to a few cents per report and because the
GPT-5’s system prompt just leaked to Github, showing what OpenAI wants ChatGPT to say, do, remember … and not do. Unsurprisingly, GPT-5 isn’t allowed to reproduce song lyrics or any other copyrighted ...
It's all about use cases, but I'm not sure GPT-5.4 is even the stronger model ...
Revolutionizing Market Predictions with Claude AI Trading Bot In the ever-evolving world of decentralized finance and prediction markets, one breakthrough ...
We built a vector search engine based on Quantized Tensor Train (QTT) decomposition. Instead of approximate nearest neighbor (ANN) indices like HNSW or IVF, we factorize the entire dataset into a compressed tensor format and serve exact cosine similarity queries directly from the compressed representation. The headline: 1 billion vectors on a single H100, 38ms query, 100% recall, 66 GB serving.Recall improves with scale at fp16: 96% at 400M → 98% at 500M → 99% at 600M → 100% at 1B. This is the o
I'm looking for something novel and interesting, that isn't absolutely crowded that I could meaningfully contribute to.In 2022 I was toying around with OpenAI's RL Gym, right when the first non-instruct GPT3 model came out. I was thinking about getting into ML a lot more, but hesitated. Before that it was 3D printers, mechanical keyboards, drones, etc. All of these have exploded, and while they are still very interesting, I do love my Browns and manage Prusas for my local hackersp
https://github.com/OlexG/finclaw ^ repo if anyone wants to contribute.I realized that sometimes I'm pretty good at making random guesses about the future. (I.E, I think OpenAI will beat Anthropic in the short term, etc...)However, I'm bad at converting these guesses into actual market plays I can profit from.As such, I wanted to make a tool that connects to the right APIs and launches a swarm of agent experts to generate related plays based on your prediction.The ve
Hi HN,for quite some time I've been thinking how LLMs are missing the knowledge base, where I can dump CSVs, PDFs, and most important, inline web app. running on Claude Code (bring your own agent) with agents with heartbeats and jobshttps://runcabinet.comIt runs locally and is installable via npm. GitHub (open source): https://github.com/hilash/cabinetThis is still very early. I put the first version together quickly after seeing a post by Andrej Karpathy about
I use Coding tools daily and got tired of it describing code by line numbers. So I built an MCP server that lets the agent control my Neovim instance instead: opening files, highlighting lines, adding annotations, splitting views.The tool I actually wanted was "walkthrough mode": I ask the agent to walk me through a PR, it opens each file, highlights what matters, explains briefly, and waits for my questions. Turns code review into pair programming where the agent points at the screen.
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
