Anthropic’s Premium AI Model Struggles as Enterprises Shift to Budget Options
Anthropic's Fable 5 captures just 11% of corporate spending as businesses opt for cheaper AI models. Revenue reaches $65B, ...
GPT-5
Anthropic expected to tell investors it sees over $30 trillion in potential revenue, WSJ reports
Aug 25 (Reuters) - Anthropic is likely to tell investors that it sees its total addressable market (TAM) exceeding $30 ...
Anthropic now expects $30 trillion in revenue after IPO
Anthropic is preparing to show investors a market of more than $30 trillion as the Claude maker gets closer to going public.
Anthropic to Tell Investors It Has Potential Revenue of Basically the Entire US GDP
To be fair, Anthropic has set that figure as the total addressable market, which is basically every available dollar within a ...
Anthropic Wants to Beat SpaceX’s IPO, and It Could Reprice Every AI Stock You Own
Anthropic has stayed silent on its IPO valuation, and that silence is doing serious work. Whatever number it prints will ...
Inside Anthropic: Moving Beyond Bigger AI Models To Win The Enterprise AI Race
Anthropic executives Eric Kauderer-Abrams and Jonathan “JP” Pelosi explain how Claude is moving beyond AI assistants into ...
Anthropic’s potential $2 trillion IPO could turn staff into millionaires—now the AI firm is asking candidates what they’d do if stock fell to zero
Anthropic CEO Dario Amodei, who has a net worth of $15.5 billion, has reportedly expressed concerns that AI workers are ...
Anthropic Says Its Market Is $30 Trillion, Same As US GDP
Anthropic is apparently telling investors its potential revenue could reach $30 trillion, about the same as US GDP ($32.5 ...
Midjourney AI Explained: How Text Prompts are Becoming Visual Content
Midjourney uses AI to turn Midjourney Prompt ideas into visuals. Explore Draft Jobs, creative Prompts, and the future of AI-powered content creation
Free and open source Minecraft launcher with fetures
I made an custom minecraft launcher in python and release on GITHUB under gpl-3.0 licence try it and as it is currently in beta testing report issue on github if you like it leave an star Github :https://github.com/sozipp/sozip-launcher/tree/main WEBSITE : https://sozipp.github.io/sozip-launcher/
Free and open source Minecraft launcher with fetures
I made an custom minecraft launcher in python and release on GITHUB under gpl-3.0 licence try it and as it is currently in beta testing report issue on github if you like it leave an star<p>Github :sozipp/sozip-launcher WEBSITE : https://sozipp.github.io/sozip-launcher/
This six-course Claude AI and ChatGPT training bundle is $29.99
TL;DR: This 2026 Complete Claude AI, Claude Code, Claude Cowork and ChatGPT Training Bundle is $29.99 (reg. $174), giving you ...
OpenAI slashes prices for GPT-4.1, igniting AI price war among tech giants
One complicating factor with Grok has been its context window. Musk touted that Grok 3 could handle 1 million tokens (similar to GPT-4.1’s claim), but the current API actually maxes out at 131k tokens ...
Show HN: A proxy that makes Forgejo speak the GitHub API
Hello HN,After seeing all of the pushback and negative sentiment regarding GitHub and its poor reliability and everyone trying to move off of it, I decided to build this to make the transition easier.It's the second half of a two-part project. Shotgun (https://github.com/ThatXliner/shotgun) diffs two OpenAPI specs and auto-maps what lines up, which turns out to be 60-80% of endpoints when both APIs are in the same domain. Anvil is the opinionated result of running that o
Show HN: CaptureAgent – find, price, draft, grade, run and fund federal work
I’m a 2x defense founder and aerospace engineer.I initially built CaptureAgent for my own company, but now I want to share it with other founders. While running my defense startup, I lost days deciding which federal opportunities to pursue and weeks assembling teams, researching competitors, pricing work, checking compliance, negotiating with subcontractors, and writing proposals. I see startups and the small-business industrial base as one of America’s secret weapons, but small business win rat
Show HN: HandWrought – an AI editor inside your document, not a tab away
I write a lot, and I got tired of the ChatGPT-in-a-second-tab shuffle: paste a paragraph in, describe the change, copy the answer back, lose track of what actually changed. So I built an editor where the AI suggestions show up in place — you review and accept/reject them like a diff, instead of reconciling a wall of chat text by hand.It's a chat panel next to a real editor. Ask for a rewrite, a tighter opening, a different tone — the suggestion lands as an inline, reversible edit, not
OpenAI Resurrects Cheaper, Faster GPT-3.5 Turbo That Now Powers Snapchat, Shopify, and More
OpenAI has formally brought back its highly capable GPT‑3.5 Turbo API to developers, a significant step towards restoring the foundation of the original ChatGPT that delighted the world in 2022. The ...
The dislike for Opus 5 is usually because it tests the prompter
Been using Opus 5 exclusively for a week. For the first 2 - 3 days, I had a hard time working with the output and especially understanding what it was trying to say.There's probable more work needed in the domain to help explain things.The other thing I noticed is that it is actually incredible and what it does. It took me longer to way longer to understand the details, then it took to do something.Providing it all the relevant context is a skill, but the more it understands the problem you
I've tested some local LLMs on prosumer hardware, here are some findings
I have been benchmarking local LLMs on a Mac M4 Pro 24 GB RAM using LM Studio. I've tested mostly with 4-bit quantization, both MLX and GGUF, from 4b to 35b models, with speeds of 3 to 40 tokens/second.Results briefly:- fast small model -> extraction/classification- Gemma -> summarization- gpt-oss -> transcript consultation- large Qwen -> difficult reasoning/code interpretationThere wasn't a single best LLM for all tasks.Best summarizer: I took a transcript
Ask HN: MCP vs. Agent Harness
I saw that Agent Harness has tools info right, and then MCP also has the same; then how are they different?
