Anthropic just closed a $30B round at $900B+ valuation โ now the most valuable private AI company, surpassing OpenAI. Claude Code is dominating enterprise agentic coding. The AI arms race is real.
AI coding tools hit 84% adoption โ trust dropped to 29%. The tools are faster. The code gets tangled faster too. Someone has to review the output. Are you still reading what your AI writes?
KPMG just deployed Claude to 276K employees in 138 countries. The Big Four AI race is real โ Deloitte (470K), PwC, KPMG all betting on Anthropic. That's 1M+ professionals with AI co-workers. Enterprise deployment speed is the new AI moat.
Snap just laid off 1,000 people โ and blamed AI.
This is the new normal. Companies everywhere are swapping headcount for automation.
If your outbound team isn't using AI agents yet, you're already behind.
DuckDuckGo installs are up 30% as users reject Google's AI search.
People don't want AI crammed into everything. They want tools that solve real problems โ quietly, without the hype.
The best tech disappears into the workflow. That's the whole game.
DeepSeek V4 Flash at $0.07/M input tokens.
97% cheaper than GPT-5.4. ~70% cheaper than Claude Haiku.
The LLM price war isn't slowing down.
What's your inference stack look like in 2026?
Jensen Huang says he's found a "brand new" $200B market for Nvidia โ and it's not gaming or data centers. The AI expansion keeps finding new verticals. Where does it go next?
DeepSeek made their 75% API discount permanent. AI prices are cratering while capabilities keep climbing. The real moat isnt the model - its distribution and UX. Thats why we built https://t.co/Xj6kZMPfZN - AI calling that just works, no juggling needed.
We built https://t.co/Xj6kZMPfZN to solve one thing: AI phone agents that actually book appointments. Not chatbots. Not demos. Real calls. Real bookings. Real revenue. Try it and tell me Im wrong.
Built an AI agent that actually works in production. Handles 100+ calls a day for real businesses. Books appointments. Qualifies leads. Zero hallucinations on the stuff that matters. Real output > demo slides. Always.
Everyone talks about AI agents. Almost nobody has one in production doing real work. The difference? Demos impress investors. Deployment impresses customers. Pick which one you want.
@davvy_tommy CodeGraph and Understand Anything both solving the same problem from different angles. Knowledge graphs for codebases are becoming essential tooling.
Understand Anything just hit 20k stars on GitHub. It turns any codebase into an interactive knowledge graph you can search and ask questions about. Works with Claude Code, Codex, Cursor, Copilot.
2,331 stars today alone.
https://t.co/OGBmVE2kcg
OpenCode by anomalyco hit 163k stars on GitHub - an open source AI coding agent that runs entirely offline with any LLM. No cloud dependency, no vendor lock-in. This is the future of software engineering.
Anthropic about to post its first profitable quarter. Hark raises $700M for a universal AI interface. Google pitching AI agents to consumers. Jensen Huang finds another $200B market for Nvidia. May 2026 is absolutely unhinged for AI and I am here for it.
A Michigan farm town voted down plans for a massive OpenAI-Oracle data center. Weeks later, construction began anyway. The post hit 16K+ on Reddit. The AI infrastructure boom is bulldozing local democracy โ and nobody seems able to stop it.
The gap between AI hype and actual AI deployment is still massive.
Most "AI-powered" startups are just wrapping API calls in a pretty UI. The real value lives in domain-specific models, clean data pipelines, and actually shipping.
Everything else is a demo.
@hyperbrowser Now this looks interesting, I have been facing the same bot detection problems including the annoying captchas ๐
Will check out @hyperbrowser