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- 🤖 ChatGPT Is Helping Write U.S. Laws
🤖 ChatGPT Is Helping Write U.S. Laws
Plus, China's Qwen 3.8-Max Takes On Claude
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Welcome back, AI Admirers!
Breaking News: U.S. House disbursement records show that Capitol Hill has picked its favorite AI tool: OpenAI’s ChatGPT. Out of all paid AI tools purchased by House offices over the past year, ChatGPT accounted for nearly 90% of the total budget.
Get ready to dive into the latest happenings in AI.
📢 Today's Headline:
OpenAI Dominates Capitol Hill
Qwen 3.8-Max Wants to Beat Claude
Apple’s Siri Comeback Feels Late
The $400B AI War Has a Clear Winner
Latest AI Tools & Resources
Today’s Poll and Results
Read time: 4.0 minutes!
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Hand-picked News
The lawmakers responsible for regulating artificial intelligence are relying heavily on it behind closed doors to keep Congress running.
OpenAI crushed the competition: U.S. House disbursement records show offices spent $100,580 on ChatGPTacross nearly 800 separate transactions over the last year, swallowing almost 90% of all paid AI spending on the Hill.
Claude is a distant runner-up: Anthropic’s Claude took second place with just $13,160 in subscriptions, proving OpenAI's absolute grip on Washington’s workplace default.
Democrats outspent Republicans 3-to-1: Left-leaning offices dropped $54,165 on paid AI accounts compared to $15,782 from their Republican counterparts to handle grueling workloads like drafting constituent replies, summarizing massive bills, and writing social posts.
Keep in mind that these numbers only reflect direct software expense receipts—meaning actual usage across free accounts and enterprise-level IT bundles is likely massively higher.
đź‘€ The take: Washington is drafting guardrails for technology it relies on every day to write its own policies. Expect severe friction down the road when politicians try to strictly regulate the exact commercial tools keeping their understaffed offices afloat.
đź’ˇ Try this now: Next time you draft a high-stakes email or document, ask ChatGPT to roleplay as a skeptical, overworked hill staffer and point out the weakest logic in your pitch.
Would you feel comfortable if your local representative used ChatGPT to help draft a law that affects you? Hit reply and let me know your thoughts!
Silicon Valley’s monopoly on top-tier frontier models is breaking down faster than expected as open weights directly challenge closed wall ecosystems.
Massive scale with zero paywall: Alibaba’s Qwen 3.8-Max boasts 2.4 trillion parameters, matching closed giants on coding and complex reasoning benchmarks while handing full model access straight to developers.
16 days of pure autonomy: Internal testing showed the model running completely unsupervised for over two weeks straight to build full-stack code, fix its own bugs, and execute complex workflows without human intervention.
Smart architecture keeps it cheap: Despite the multi-trillion size, it uses a sparse Mixture of Experts setup that only fires up 95 billion parameters per query, offering Claude-level performance at a fraction of the compute cost.
Until now, developers who wanted absolute flagship intelligence were forced to rent API access from US tech hubs like Anthropic or OpenAI with zero control over model weights.
⚠️ The take: Open source isn't just catching up to proprietary AI, it's threatening to pricing-out locked API platforms. When developers can host frontier-level intelligence locally with total privacy and custom weights, closed model pricing models will face intense pressure.
đź’ˇ Try this now: If you run heavy coding or data workflows through API calls, test open-weight Qwen variants on local or private cloud infrastructure to audit your cost savings against closed API subscriptions.
Apple finally fixed Siri in its latest software beta after two years of delays—and the tech world barely reacted.
Rebuilt from scratch: Apple replaced Siri’s legacy system with on-screen awareness and personal context, allowing it to search unread texts, photos, and calendar invites for specific answers.
Powered by Google: Apple used Google's Gemini models behind the scenes to help train and refine its foundation models.
Feature parity feels like a bug fix: Rivals already shipped autonomous agents while Apple spent years catching up, making a basic functional assistant feel like routine maintenance rather than an innovation.
User expectations have shifted from basic conversational chatbots to multi-step execution and autonomous task handling.
⚠️ The take: In AI, timing matters as much as execution. Reaching feature parity after two years of delays doesn't win back users—it just stops churn while competitors raise the bar.
đź’ˇ Try this now: Ask Siri a multi-layered context question like, "Find the flight confirmation number from my email and check if my flight is delayed," to test if the new engine actually works on your device.
Quick Hits
🔥 New Tools & Resources
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🔥 Qwen3.8-Max - Qwen’s most capable model for coding and cowork
🔥 Gamma - Create unlimited presentations, websites, and more in seconds
🔥 Unlimited Prompts - Get 10k+ ChatGPT prompts now
🔥 Plethora - Youtube for interactive content
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🚨 Quick Poll
Today’s Poll:
Do you think it’s good that Congress spends nearly 90% of its AI budget on ChatGPT? |
Vote today, see the results tomorrow!
Previous Poll:
Do you think AI will create more jobs than it destroys?
A) Yes – Net positive for workers – 50% 🏆
B) No – It's a net job killer - 50% 🏆
Dead split like this basically means nobody actually knows — the "experts" are just as divided as everyone else, which tells you the AI-jobs debate isn't a data problem, it's a belief system. People are voting their priors, not the evidence.
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