Good morning, { AI enthusiasts }. AI keeps tanking in public opinion polls, but Anthropic’s latest data shows the reply is quite a bit more nuanced than an easy “thumbs down.”
Using Claude itself because the interviewer, Anthropic collected 80K+ conversations across 70 languages in a single week. The finding that stood out: most individuals aren’t selecting sides between hope and fear… They’re carrying each.
In today’s AI rundown:
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Anthropic surveys 81k people on AI hopes, fears
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Cursor’s coding model cuts costs near the frontier
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Use Replit’s Tasks feature to enhance your site
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Microsoft AI’s image model climbs leaderboards
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4 latest AI tools, community workflows, and more
LATEST DEVELOPMENTS
AI RESEARCH
Image source: Anthropic
The Rundown: Anthropic just released what it says is the largest qualitative AI attitudes study ever, using Claude to interview 81k of its users across 159 countries about where they think the tech is headed and what scares them about getting there.
The small print:
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Anthropic introduced Claude Interviewer in December, constructing a special version of Claude that ran open-ended conversations in 70 languages.
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Skilled excellence was the top-reported hope, with freeing up time, financial independence, and broader life management regularly mentioned.
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Fear of AI getting things incorrect outranked every other concern, with job anxiety, losing personal agency, and over-reliance close behind.
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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 that those surveys miss. Almost as notable is Claude running 80K in-depth interviews across 70 languages in a single week, a wildly strong proof of concept for the tech as a research tool that simply didn’t exist a yr ago.
TOGETHER WITH NORTON NEO
The Rundown: Norton Neo is the primary AI-native browser designed to be powerful, productive, and personal by default — combining intelligent assistance with built-in protection so that you do not have to trade privacy for productivity.
With Norton Neo, you may:
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Search across tabs, history, and the online from one universal bar
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Research and write side-by-side with built-in Split View multitasking
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Security is embedded on the core, with a built-in VPN powered by Norton
Try Norton Neo and experience the longer term of browsing.
CURSOR
Image source: Cursor
The Rundown: Anysphere, the corporate behind AI code editor Cursor, just shipped Composer 2, a third-generation in-house model that’s competitive with frontier coding models from OpenAI and Anthropic at a fraction of the fee per task.
The small print:
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Composer 2 topped Opus 4.6 on the independent Terminal-Bench 2.0 (61.7% vs 58%) and sits inside 5 points of GPT-5.4 on Cursor’s own CursorBench.
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At $7.50/M output tokens on its fast tier, Composer 2 costs roughly 1/tenth of GPT-5.4 and 1/twentieth of Opus 4.6 at comparable speeds.
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Composer’s scores on the corporate’s internal CursorBench have 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 constructing one in every of its own at this price point. Nearing the frontier as an application-layer company is a formidable feat, and the speed, cost, and performance of Composer 2 could change the maths for developers paying full price for coding with GPT-5.4 or Opus 4.6.
AI TRAINING
The Rundown: On this guide, you’ll learn easy methods to use Replit’s Tasks feature to enhance an existing site without messing up your already working app, making it easier to maintain isolated fixes from piling on top of one another and make real progress in your app.
Step-by-step:
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Go to Replit, drop in your app idea, and hit Plan. For those who have already got an app, open that as a substitute. You will have at the very least a Replit core plan to do that feature
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Once 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 impossible”
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While it’s planning, queue a second task in parallel, try something like improving the landing page design, cleansing up the nav bar, or a bug fix
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Once task planning is finished, start them. You’ll be able to preview each task, and once they finish, click Apply Changes to Principal Version to update the production app
Pro tip: Toggle your important agent into plan mode and tell it the improvements you wish. It should generate a PRD. Then, divvy up that PRD into latest parallel tasks.
PRESENTED BY OPTIMIZELY
The Rundown: Most experimentation teams have hit a wall — headcount is maxed and testing capability has stalled. Optimizely’s upcoming webinar shows how leading teams are using AI agents across the total experimentation workflow to scale programs without adding to the team.
The April 1st session will cover:
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How AI agents add value across every stage of the experimentation lifecycle
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Real use cases from the leader behind Farfetch’s award-winning program
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Practical strategies to scale testing across your organization without growing your team
Register for April 1st at 10 am ET. Cannot join live? Register anyway to receive the recording.
MICROSOFT
Image source: Microsoft
The Rundown: Microsoft’s AI Superintelligence team just 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.
The small print:
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Arena.ai ranked MAI-Image-2 at No. 5 overall, trailing just Gemini (several variants) and GPT Image-1.5 with strong upgrades in photorealism, 3D, and art.
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The largest jump from its predecessor got here in text rendering, up 115 points, with drastically improved performance on posters, slides, and infographics.
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MAI-Image-2 is free to try in Microsoft’s MAI Playground for U.S. users, with Copilot, Bing, and API access on its Foundry platform rolling out soon.
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The discharge 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 been signaling its desire to scale back its reliance on OpenAI and truly compete with its own models, and MAI-Image-2 is the strongest step yet in that direction. However the legacy tech giant still has a serious uphill battle to realize market share from the already well-entrenched frontier options at the highest.
QUICK HITS
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🗣️ Unwrap Customer Intelligence – Turn unstructured customer feedback into data-backed insights that inform your product roadmap*
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⚙️ Composer 2 – Cursor’s powerful, cost-effective latest in-house coding model
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🎨 MAI-Image-2 – Microsoft’s latest upgraded text-to-image model
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🚀 Google AI Studio – Google’s upgraded full-stack vibe coding agent
Google rolled out upgrades that turn its AI Studio right into a one-stop vibe-coding app builder, pairing a brand new Antigravity coding agent with built-in backends and user login.
Jeff Bezos is reportedly raising a $100B fund to purchase chip, defense, and aerospace manufacturers, with plans to make use of them for his secretive AI startup, Project Prometheus.
Perplexity introduced Health, a brand new feature allowing users to securely connect health apps, wearables, and data to its Computer agentic system.
DoorDash launched a brand new ‘Tasks’ app, paying its couriers to capture video and data from on a regular basis tasks and conversations for AI and robotics training.
OpenAI announced the acquisition of open-source developer tool startup Astral, folding the corporate’s staff into its Codex team.
Meta launched an AI support assistant across FB and IG for twenty-four/7 support, also previewing advanced content enforcement systems that catch 5K every day scam attempts.
COMMUNITY
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Gerro A. in The Philippines:
“I’m an assistant secretary in my class in highschool. The president told me to create a hub where my classmates can share reviews and leave comments. He expected an easy Google Drive or Discord to share reviews. Nevertheless, I spent one week creating a web site from scratch, using ChatGPT as my helper along the method. Take note, I had no idea easy methods to use HTML, JS, or CSS (I only know easy methods to make games in Python).
This led me to explore and learn more about Full-Stack Development and supply my classmates with a productivity tool.”
How do you utilize AI? Tell us here.
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Read our last AI newsletter: Google bets on ‘Vibe Design’ with Stitch
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Read our last Tech newsletter: China greenlights business brain implant
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Read our last Robotics newsletter: Nvidia’s move to own the robot future
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Today’s AI tool guide: Use Replit’s Tasks feature to enhance your site
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RSVP to next workshop on March 26 @ 2PM EST: Intro to Vibe Coding pt. 3
That is it for today!
- ⭐️⭐️⭐️⭐️⭐️ Nailed it
- ⭐️⭐️⭐️ Average
- ⭐️ Fail
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