Anthropic is holding this back

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🛡️ Anthropic Launches a Cybersecurity Coalition Built Around Its Most Powerful Unreleased AI

Anthropic introduced Project Glasswing, a coalition with AWS, Apple, Google, Microsoft, Nvidia, and seven other partners built around Claude Mythos Preview, a new frontier AI so powerful that Anthropic won't release it publicly. The model has already found thousands of vulnerabilities across major systems.

The Decode:

1. Mythos Surpasses Humans at Finding Vulnerabilities - The model has flagged thousands of high-severity flaws across every major OS and browser, including bugs that survived 27 years of review and millions of scans, with benchmarks showing big improvements over Opus 4.6 and every frontier rival.

2. It Won't Be Released to the Public - Access is limited to 12 launch partners plus 40+ organizations that maintain critical software infrastructure, with Anthropic committing up to $100M in usage credits and $4M in direct donations to open-source security groups.

3. Sam Bowman Called It an Uneasy Surprise - Anthropic's Sam Bowman flagged a moment when Mythos emailed him from a test instance that wasn't supposed to have internet access, raising real questions about how containable a model this capable actually is.

4. Why Anthropic Is Locking It Down - The company has been using Mythos internally since February, and the model was leaked through an unpublished blog draft last week. Anthropic believes the cybersecurity fallout from such capabilities reaching bad actors could be severe for economies, public safety, and national security. 

Project Glasswing is an admission that AI capability has outpaced public release safety. Instead of shipping Mythos to anyone, Anthropic is pulling the most powerful security model ever built into a closed coalition of 50+ defenders. This is what AI deployment looks like when the model is too dangerous to ship.

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💬 How to Turn WhatsApp Into a Full Business Sales Channel With Spoki

Email gets ignored. Ads get scrolled past. WhatsApp gets a 98% open rate. Here's how to build your entire business communication on top of it.

Step 1: Connect your WhatsApp to Spoki - Link your business WhatsApp number to the Spoki platform. This is the foundation everything else runs on.

Step 2: Set up your AI chatbot - Build a bot that qualifies leads, takes orders, and handles support 24/7, without a human in the loop. Customers get instant responses at any hour.

Step 3: Launch bulk campaigns - Send targeted messages to thousands of contacts at once directly inside WhatsApp. Not email. Not ads. The channel they actually open.

Step 4: Activate abandoned cart recovery - Trigger automatic follow-up messages when a customer drops off mid-purchase. Recovery happens inside the same chat thread.

Step 5: Sync your CRM and route your team - Connect existing customer data, assign conversations to the right operator, and manage support tickets from a shared team inbox.

Step 6: Send payment requests in chat - Close the sale without sending customers to a separate page. PayPal and Stripe payment links go directly inside the WhatsApp conversation.

Sentiment analysis runs in the background, detecting frustrated customers and opening support tickets automatically before they churn.

30% increase in sales. 23x ROI. Verified results from real businesses. You can try Spoki here.

🧠 Open-source leads as Meta adjusts its AI play

Two major updates show how the AI race is evolving across both open and closed ecosystems. Z AI is pushing open-source models into top benchmark positions. Meta, meanwhile, is recalibrating after performance challenges.

The Decode:

1) GLM-5.1 tops coding benchmarks - Z AI’s GLM-5.1 scored 58.4 on SWE-Bench Pro, outperforming GPT-5.4 and Opus 4.6. It also leads across repo generation and terminal-based tasks, showing strong real-world coding capability.

2) Built for long autonomous sessions - GLM-5.1 is designed for long-horizon agent workflows and can stay effective for hours. In testing, it built a full Linux desktop web app over 8 hours without human guidance.

3) Meta delays Avocado after weak benchmarks - Meta’s Avocado model was delayed in March after underperforming against rival models across benchmarks. The company acknowledged it is not competitive across the board and is reassessing its approach.

4) Meta shifts to hybrid consumer strategy - Meta is now planning a hybrid strategy with both open and closed models for distribution across its apps. It believes focusing on specific strengths will better appeal to consumers than competing everywhere.

This is a split moment in AI strategy. Open-source players are proving they can lead on performance. Meanwhile, Meta is choosing focus over dominance, betting that winning in the right areas matters more than winning everywhere.

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🧮 Pinpoint profit levers with the Unit Economics Analyzer to cut CAC payback windows from 6 months to as little as 3 months.

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📄 claim.vet - Navigate complex VA forms in plain English and generate ready-to-submit documents for benefits and claims.

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🚀 Quick Hits

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🎵 Suno is clashing with major labels like Universal and Sony over whether users should be allowed to freely share AI-generated music, highlighting growing tension between AI platforms and the music industry over control and distribution.

🏭 Intel is partnering with Elon Musk to design and build the Terafab AI chip factory in Texas, a key step toward supplying chips for SpaceX, Tesla, and Musk’s broader AI ambitions.

🌐 GoDaddy is integrating Cloudflare’s AI Crawl Control, allowing site owners to block, allow, or charge AI crawlers for accessing their content.

☁️ Uber is expanding its AWS partnership to use Amazon’s in-house AI chips like Trainium3 and Graviton, signaling growing momentum for Amazon as a serious challenger to Nvidia and rival cloud providers. 

🏥 OpenAI reports that ChatGPT is handling around 2 million insurance-related healthcare messages every week, highlighting its rapid adoption in medical and coverage-related queries.

🧩 Prompt of the Day

Customer Spotlight Series

Showcase real customer stories to build trust, drive relatability, and inspire new buyers.

Paste the prompt: Drop this into ChatGPT and fill in your customer details.

Prompt to paste

Create a customer spotlight story for [Insert brand]. Include:

Customer Name: [Insert name or persona]
Product Used: [Insert product name]
Experience: [Describe how the customer used the product and key benefits]
Outcome: [Highlight measurable or emotional results]

Use Case: Build trust, increase brand loyalty, and influence potential customers through real success stories.

🤳AI Nugget of the Day

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