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Sam Altman may give the US 5% of OpenAI.

Write an X thread that gets shared — not just read

Author

Alamin Hossain
July 02, 2026

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ZenMux: Which AI Model Is Actually Worth Your Tokens?

AI benchmarks only tell part of the story. The real question is: which model would you actually keep using?

ZenMux just launched Token Economics Arena, where you can compare 10+ popular AI models across coding, agents, long-context reasoning, multilingual tasks, and content creation.

What's even better is that this isn't just an experiment—it also makes it much easier for everyone to try leading Chinese AI models like GLM 5.2, Kimi K2.7, Seed 2.1 Pro and Qwen 3.7. During the campaign, many of these models are available at up to 80% off, making real-world testing much more affordable.

Instead of relying on benchmark scores, ZenMux lets real usage decide.

  • Every 1M tokens consumed = 1 vote

  • Test different models on your own tasks

  • Vote for the model that actually delivers the best experience

At the end of the campaign, ZenMux will award the Most Used Model and People's Choice Model, with the winners receiving a crown badge on the platform.

Real tasks. Real usage. Real votes.

Check discounted models here:
https://zenmux.ai/models?sort=newest

What’s Happening AI Today

1. Sam Altman is considering offering the US government a 5% stake in OpenAI — worth roughly $42 billion: The Financial Times reported today that Sam Altman is in discussions about giving the US government a direct equity stake in OpenAI as part of a charm offensive with the White House. At OpenAI's current valuation, 5% is worth approximately $42 billion — making it the largest voluntary equity offer from a private technology company to a government in history. The context: OpenAI's S-1 is being finalized for a September listing, and the government relationship matters enormously for both the IPO and for getting clarity on the Fable 5 style export control framework that both Anthropic and OpenAI have been asking for.

2. Unisound U2 just entered the market at $0.15/$0.30 per million tokens — and it benchmarks close to Opus 4.8: Unisound's U2 is a 266 billion parameter mixture-of-experts model built for agentic deployment. Independent verification scores: 86.9% GPQA Diamond, 85.8% MATH-500, 72.2% SWE-bench Verified. Pricing: $0.15 input / $0.30 output per million tokens. Claude Opus 4.8 charges $5/$25. GPT-5.5 charges $1.50/$9. U2 is not beating the frontier on every benchmark, but it is operating within striking distance at roughly 1/30th of Opus pricing.

3. The White House is in advanced talks with AI companies on voluntary release standards — announcement expected next week: The Financial Times and multiple sources confirmed that the White House is finalising a framework for voluntary AI model release standards covering safety testing, disclosure timelines, and coordination with national security agencies before major launches. The framework is expected to be announced as soon as next week. If it lands on schedule, it becomes the governance structure that replaces the current case-by-case bilateral deal process — the same process that produced the Fable 5 ban.

Write an X thread that gets shared — not just read

Prompt: You are an X ghostwriter who has written threads that reached millions of impressions — not through hacks or follow trains, but by saying something genuinely worth reading. You know that most threads fail because they front-load the conclusion and bury the tension. People share what surprises them. They finish what pulls them forward.

Here is what I want to write about: [describe your idea, insight, story, or observation — messy is fine].

My audience: [describe who you want to reach — their role, what they care about, what they already know].

Write me a thread of 8-12 posts using this structure:

Post 1 — The hook — This is the only post most people will see. It must do one thing: make stopping feel like a mistake. Do not open with "a thread." Do not open with your conclusion. Open with a tension, a number that seems wrong, a claim that invites disagreement, or a specific moment that demands explanation. Under 240 characters. No emojis unless they are doing real work.

Posts 2-4 — The build — Each post should be a complete thought that also makes the reader need the next one. No filler. No "here is what I mean by that." Show the thing directly. If you need an analogy, use one that is so specific it feels like it was written for exactly this reader.

Posts 5-8 — The substance — This is where the real insight lands. Make each post independently quotable. If someone screenshotted any single one of these posts without the others, would it still be worth sharing? If not, rewrite it until it is.

Posts 9-11 — The implication — What does this mean for the reader specifically? Not "this changes everything." The specific, practical thing that is different about their work or thinking after reading this.

Post 12 — The close — End with something that invites a reply, not just a like. A question worth answering, a claim people will want to push back on, or a statement that makes someone tag a specific person they know.

Hard rules: No "I hope this helps." No "RT if you agree." No bullet-point posts unless each bullet is genuinely surprising. Every post under 280 characters. The thread should read like a person thinking out loud, not a presentation being delivered.

Scale AI support on AWS, see how July 9

Customer expectations keep rising. Support budgets don't. On July 9, Fin and AWS are hosting a live executive session on how leading enterprises close that gap: scaling AI-powered support while simplifying how they buy it.

You'll see how to resolve an average 76% of conversations with Fin on AWS enterprise-grade infrastructure, procure through AWS Marketplace to put committed cloud spend to work, and turn the Fin and AWS collaboration into lower support costs. Register for the live session to see how.

AI news highlights

Fable is back, and it looks magical.

Trending AI tools

• Acti — Agentic keyboard for mobile commands and search — launched today
• WorkClaw — Collaborative AI coworkers inside Slack and Teams — governed, cross-app execution
• Tabstack by Mozilla — Extract web data and automate browsers — no scraper required
• Backgrind — Run parallel AI coding agents over any app, sandboxed with worktrees
• Rosply — AI agent that controls your computer autonomously
• Framer Agents — Design, write, and organise your site with agents on the canvas Claude Code and Codex compatible
• Elentaria — GTM from diagnosis to full multi-channel execution
• Octolane — Self-driving AI CRM you can talk to for pipeline hygiene and follow-ups

That’s a Wrap

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