Anthropic’s new release a risky bet

Plus, 💪How to get better at every meeting with On Call, Perplexity study shows AI agents change how people work, and more!

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🧠 Anthropic opens access to Claude Fable 5

Anthropic has launched Claude Fable 5, bringing its most advanced Mythos-derived technology to the public for the first time. The release follows months of limited testing through Project Glasswing and introduces a safer version of the model while maintaining top-tier performance across major AI benchmarks. 

The Decode:

Anthropic broadens access - The original Mythos Preview was restricted to more than 150 vetted organizations through Project Glasswing, where it helped uncover serious vulnerabilities across operating systems, browsers, and software platforms.

Sensitive topics are handled differently - Unlike Mythos Preview, Fable routes requests involving areas such as cybersecurity, biology, and chemistry to Claude Opus 4.8, creating a more restricted public-facing experience.

Performance improves across key tasks - Anthropic says Fable delivers major gains over Opus 4.8 and GPT-5.5 across coding, reasoning, knowledge work, and other leading AI evaluations, pushing it to the top of several benchmark categories.

Project Glasswing continues expanding - Anthropic is also releasing Mythos 5 to approved Glasswing partners, offering less restrictive cybersecurity capabilities and lower costs compared to the original Mythos Preview program.

The company is trying to balance frontier-level performance with stronger safety controls, while giving everyday users a first look at technology that was previously limited to trusted research and security partners.

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🤖 Perplexity study shows AI agents change how people work

Perplexity and Harvard Business School released new research examining how AI agents affect knowledge work. By comparing 10,000 identical queries across Perplexity Search and Perplexity Computer, the study found that users increasingly turn to agents not just for answers, but for completing complex work.

The Decode:

Different tools serve different roles - Perplexity Search responded in about 33 seconds on average, while Computer spent roughly 26 minutes working through tasks, taking on execution rather than simply delivering information.

The workflow changes completely - While Search quickly provides information that users must act on themselves, Perplexity estimates the equivalent end-to-end workflow would take users around 269 minutes compared to just 36 minutes with Computer handling much of the work.

Output replaces information gathering - Nearly half of Computer requests involved generating something new, such as documents, code, presentations, or visuals, which was roughly double the rate seen in traditional Search usage.

AI expands what users attempt - The share of tasks completed outside a user's primary field rose to 59%, with users increasingly relying on Computer to handle more specialized and complex work across multiple domains.

Instead of simply helping people find information faster, agents are increasingly being used to complete tasks, create outputs, and help users take on work they might not have attempted on their own.

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🚀 Quick Hits

🧠 Microsoft AI chief Mustafa Suleyman criticized Anthropic for discussing potential AI consciousness in Claude’s constitution, arguing it risks encouraging human-like interpretations of AI and could reinforce misleading beliefs about model self-awareness. 

🌍 Google’s Gemini 3.5 Live Translate now supports a new listening mode, letting users hear real-time translations through their phone’s earpiece, like a normal call, across 70+ languages without requiring headphones.

🧠 Microsoft AI CEO Mustafa Suleyman criticized speculation about AI consciousness, calling it “really, really dangerous.” He argued AI should remain controllable, accountable tools, and warned against framing models like Claude as potentially self-aware or sentient.

💰 Google cut the price of Google AI Plus from $7.99 to $4.99/month while doubling storage to 400GB, escalating AI subscription competition and putting pressure on rivals like OpenAI and Anthropic to lower prices. 

📊 OpenAI added interactive charts to ChatGPT, enabling users to generate and explore in-line graphs directly from data within a conversation, making analysis, visualization, and data exploration more seamless.

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Savings Goal Calculator That Builds Real Money Momentum

Most people save whatever is left. Strong savings systems decide the goal first, then build the monthly plan around it.

Turn saving into a clear path with purpose, targets, and progress.

Paste the prompt: Drop this into ChatGPT, then fill in your savings details.

Prompt to paste

Create a savings goal calculator and plan based on my [Insert savings goal], [Insert monthly income], [Insert current savings], and [Insert timeline]. Calculate how much I need to save each month to reach the goal, then suggest a realistic savings system, spending adjustments, and progress checkpoints. Include ways to stay consistent, avoid using the savings early, and make the plan feel motivating instead of restrictive.

🤳AI Nugget of the Day

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