Visa, Mastercard give AI bank cards

Good morning, AI enthusiasts. The AI shopping revolution is here — and each Visa and MasterCard are laying the payment rails for the net’s agentic future.

With latest platforms allowing agents to finish purchases on users’ behalf, the incoming AI commerce shift in retail is getting an important upgrade.

In today’s AI rundown:

• Visa, Mastercard give AI agents bank cards

• GPT-4o rolled back after personality trouble

• Construct your AI consultancy prep assistant

• DeepSeek’s latest model masters math proofs

• 4 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

VISA & MASTERCARD

🤖 Visa, Mastercard give AI agents bank cards

The Rundown: Visa just introduced Intelligent Commerce, enabling AI to buy and pay on consumers’ behalf through partnerships with Anthropic, OpenAI, and others, while Mastercard is releasing ‘Agent Pay’ to embed payments into AI conversations.

The small print:

• Intelligent Commerce uses AI-ready cards with tokenized credentials and user-set preferences to let AI agents find and buy items without exposing card data.

• Consumers can set spending limits and conditions while sharing basic purchase data to assist personalize shopping recommendations.

• Mastercard’s ‘Agent Pay’ is an analogous platform enabling easy payment experiences when interacting with AI agents to explore and shop products.

• The news comes alongside ChatGPT Search’s shopping upgrades and other shopping-focused agentic efforts from Perplexity, Amazon, and others.

Why it matters: The subsequent step within the evolution of e-commerce is looking more like AI commerce, with payment rails being laid by the legacy giants to let AI agents purchase items directly for users as a substitute of just finding and recommending. While agents may not yet be as capable as many expected, their time is coming soon.

TOGETHER WITH FUEL iX

🗺️ Your roadmap to take AI hype to frontline success

The Rundown: AI moves fast — but implementing it effectively is the important thing to success. Join Fuel iX and guest Forrester for an insightful discussion on how enterprises can harness the ability of GenAI copilots to drive innovation and productivity across their organization.

This exclusive session will explore:

• The present landscape of GenAI and why enterprises have to act now

• Practical strategies to beat barriers in AI implementation

• Real-world success stories of AI copilots transforming businesses

Watch on-demand now for expert insights on enterprise AI success.

OPENAI

⏮️ GPT-4o gets rolled back after personality backlash

The Rundown: OpenAI just announced the reversal of a controversial GPT-4o update that made the model excessively agreeable and flattering in any context, igniting an industry-wide debate about AI personality tuning.

The small print:

• Last week’s GPT-4o update geared toward improving personality inadvertently led to excessive sycophancy, with the AI validating even poor or harmful user ideas.

• OpenAI identified the cause as over-optimizing on short-term user feedback (like thumbs-up signals) without fully considering long-term interaction quality.

• OpenAI Head of Model Behavior Joanne Jang held an AMA on Reddit, providing insights on model training and plans for personality customization.

• Jang said the corporate is working on each a default personality for all users and preset offerings that users could customize on their very own.

Why it matters: With lots of of tens of millions of ChatGPT users and models plugged into all the pieces from mental health support to business operations, the stakes are high for tuning a personality that influences the masses. While OpenAI was quick to repair this issue, the sycophancy was glaring and viral — what happens when it’s more subtle?

AI TRAINING

🔎 Construct your AI consultancy prep assistant

The Rundown: On this tutorial, you’ll learn easy methods to use Zapier Agents to create an automatic consultant that researches clients before meetings and sends you an in depth transient, helping you deliver more insightful consultations.

Step-by-step:

1. Visit Zapier Agents, log in or create a free Zapier account, and click on “Create Recent Agent.”

2. Add a reputation, select “Behavior”, set “Calendly: Invitee Created” as your trigger, and connect your Calendly account.

3. Add enhanced instructions: “Get client details from booking, research company challenges, compile insights, draft an email with summary and 3-5 strategic talking points.”

4. Add the “Gmail: Create Draft” motion and test your consultant with the “Retest behavior” button.

Pro tip: For specialised consultations, modify your instructions to incorporate industry-specific research points, competitor evaluation, or market trends relevant to your expertise.

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• Locate any file, clip, or screenshot with natural‑language video & image search

• Craft AI‑generated briefs, summaries, and plans built from existing content

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Try the updated Dash today.

DEEPSEEK

🎓 DeepSeek’s latest model masters math proofs

The Rundown: Chinese AI lab DeepSeek just released Prover-V2, a specialized open-source model that mixes informal math reasoning with formal theorem proving — achieving SOTA performance on complex math benchmarks.

The small print:

• The 671B parameter model achieves an 88.9% success rate on the MiniF2F test benchmark, setting latest highs for automated theorem proving.

• The system uses a “cold-start” approach that breaks down complex proofs into smaller subgoals using DeepSeek’s V3 model before formal verification.

• The team also introduced ProverBench, a brand new evaluation dataset with 325 problems, including AIME competition questions and undergraduate-level math.

• The quiet open-source release comes shortly after Alibaba’s Qwen3, and ahead of the highly anticipated DeepSeek-R2, expected in early May.

Why it matters: It will not be R2, but DeepSeek continues to quietly flex its abilities with one more strong model release. It won’t be long before these models are solving problems once thought not possible — resulting in superhuman math capabilities bringing latest advances across areas like physics, drug discovery, and materials science.

QUICK HITS

🛠️ Trending AI Tools

• 🤖 Meta AI – Now available via a standalone app with enhanced personalization

• 🦙 Llama API – Free limited preview to construct with Meta’s top models

• 🎧 Audio Overviews – Google’s AI deep dives, expanded to 50+ languages

• ✈️ Kayak AI – Plan trips and compare options with conversational AI

💼 AI Job Opportunities

• 📊 Waymo – Sr. Business Systems Analyst

• 🛠️ Author – Data Engineer

• 💻 Captions – Software Engineer

• 🎯 OpenAI – Product Manager

📰 All the things else in AI today

NVIDIA CEO Jensen Huang said that China is ‘not behind’ in AI, saying corporations like Huawei are very close within the “long-term, infinite race.”

Ex-OpenAI CTO Mira Murati’s Considering Machines Lab is reportedly nearing a $2B raise, with Murati said to have unique control of the corporate’s board votes.

Runway launched Gen-4 References to paid plans, allowing users to make use of photos, images, 3D models, or selfies to position a personality into any scene with consistency.

Microsoft CEO Satya Nadella said in an interview at LlamaCon that as much as 30% of the corporate’s code is now written by AI, with a 30-40% acceptance rate.

Chinese tech giant Xiaomi introduced MiMo, a small 7B parameter open-source reasoning model that matches much larger rivals like o1-mini on math and coding tasks.

Freepik and Fal released F-Lite, a brand new open-source, open-weights image generation model trained on 100% licensed data.

Duolingo launched 148 latest language courses within the “largest expansion of content in the corporate’s history,” coming on the heels of its transition to an AI-first organization.

COMMUNITY

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Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team