📊Anthropic Surveys 81K People on AI Hopes, Fears
Anthropic released what it says is the biggest qualitative AI attitudes study ever, using Claude to interview 81k users across 159 countries about where they think the tech is headed and what scares them.
- —Anthropic introduced Claude Interviewer in December, building a special Claude version that ran open-ended conversations in 70 languages
- —Professional excellence was the top-reported hope, with freeing up time, financial independence, and broader life management frequently mentioned
- —Fear of AI getting things wrong outranked every other concern, with job anxiety, losing personal agency, and over-reliance close behind
- —AI sentiment varied by region: India and South America skewed above average, while the U.S., Europe, Japan, and South Korea ran neutral or below
Why it matters: AI's favorability numbers have cratered in mainstream polls, but Anthropic's study adds nuance those surveys miss. Almost as notable is Claude running 80K in-depth interviews across 70 languages in a single week—a proof of concept for AI as a research tool that didn't exist a year ago.
⚙️ Cursor's Coding Model Cuts Costs Near the Frontier
Anysphere, the company behind AI code editor Cursor, shipped Composer 2—a third-generation in-house model competitive with frontier coding models from OpenAI and Anthropic at a fraction of the cost per task.
- —Composer 2 topped Opus 4.6 on independent Terminal-Bench 2.0 (61.7% vs 58%) and sits within 5 points of GPT-5.4 on Cursor's own CursorBench
- —At $7.50/M output tokens on its fast tier, Composer 2 costs roughly 1/10th of GPT-5.4 and 1/20th of Opus 4.6 at comparable speeds
- —Composer's scores on internal CursorBench climbed from 38% to 61.3% across three model generations shipped since October
Why it matters: Cursor quickly went from harnessing other top AI models to building one of its own at this price point. Nearing the frontier as an application-layer company is impressive, and Composer 2's speed, cost, and performance could change the math for developers paying full price for GPT-5.4 or Opus 4.6.
⚙️ Use Replit's Tasks Feature to Improve Your Site
This guide covers how to use Replit's Tasks feature to improve an existing site without breaking your working app—keeping isolated fixes from piling up and making real progress.
- —Go to Replit, drop in your app idea, and hit Plan. If you already have an app, open that instead. You'll need at least a Replit Core plan
- —In your project, click the plus button on the left, create a task for a fix like mobile optimization, and prompt: "Make dashboard and all components mobile responsive. Use different components for mobile if not possible"
- —While it's planning, queue a second task in parallel—try improving landing page design, cleaning up the nav bar, or a bug fix
- —Once planning is done, start them. Preview each task, and when finished, click Apply Changes to Main Version to update production
Why it matters: Toggle your main agent into plan mode and tell it the improvements you want. It will generate a PRD. Then divvy up that PRD into new parallel tasks.
🎨Microsoft AI's Image Model Climbs Leaderboards
Microsoft's AI Superintelligence team released MAI-Image-2, a text-to-image model that landed at No. 5 on the Arena AI leaderboard—marking the strongest release yet for Mustafa Suleyman's lab.
- —Arena.ai ranked MAI-Image-2 at No. 5 overall, trailing just Gemini variants and GPT Image-1.5 with strong upgrades in photorealism, 3D, and art
- —The biggest jump from its predecessor came in text rendering, up 115 points, with drastically improved posters, slides, and infographics
- —MAI-Image-2 is free to try in Microsoft's MAI Playground for U.S. users, with Copilot, Bing, and API access rolling out soon
- —The release comes amid Microsoft's AI leadership shuffle, with Suleyman shifting away from Copilot to focus solely on frontier model work
Why it matters: Microsoft has signaled its desire to reduce reliance on OpenAI and compete with its own models. MAI-Image-2 is the strongest step yet in that direction. But the legacy tech giant still faces an uphill battle to gain market share from well-entrenched frontier options.