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Today In Ai

1  Meta's Superintelligence Labs shipped its first image and video models, with Muse Image debuting at global number 2.

Meta is rolling out Muse Image across Meta AI, Instagram Stories, and WhatsApp, with Facebook coming soon. It ranked second on Arena's text-to-image leaderboard, trailing only GPT-Image-2, and is built to integrate tightly with Meta's social graph, letting you upload photos of friends, pull from trending content, or reference people directly by mention. Muse Video is in preview, with a broader rollout to follow.

2  Anthropic extended Fable 5 access through July 12 and made Claude Cowork available across every device.

Claude Cowork is now cross-platform, letting you start a task on your desktop, check progress on your phone, and receive the finished output on whatever device is in front of you. Scheduled tasks now run even when your computer is off. The update is rolling out to Max subscribers first. Fable 5 access on paid plans was extended through July 12 for anyone who has not yet had time to put it to use. Watch how Cowork's new update works.

3  Samsung posted an estimated $58B quarterly profit, beating both Nvidia and Apple, and the stock still fell 7%.

Samsung brought in an estimated $58 billion in Q2 operating profit, up roughly 1,810% year over year on the back of surging AI memory demand, clearing Nvidia's $54B and Apple's $38B in the same quarter. Wall Street responded by selling the stock down 7%, citing a broader selloff in chip and memory names and concerns about whether the memory boom can sustain its current pace. Earning more than Apple and Nvidia in the same quarter and still losing ground on the market is the clearest illustration yet of how far ahead of results investor expectations have run.

From The Frontier

The post that earned 4M views. It is unusual for a blog post from an internet infrastructure company to go viral. Cloudflare's announcement of Monetization Gateway did exactly that, because it names a problem that most website owners have been feeling without having a framework for it. The platform lets anyone put any digital resource, a web page, a dataset, an API, or an MCP tool, behind a usage-based paywall that charges per access rather than per subscription.

The trade-off that built the internet. For 30 years, the internet ran on a simple arrangement: publishers created content, human visitors arrived, and the economics worked through advertising, subscriptions, or product sales. The visitor was the unit of value. That model is breaking because the visitor is changing.

The traffic that does not pay. More than 50% of internet traffic is now non-human. Cloudflare reported a 1,700% increase in daily AI agent requests between 2025 and 2026. Agents scrape, summarize, and redistribute content at scale without ever seeing an ad or completing a checkout. For the consumer, this is a net positive: faster answers with less friction. For the site owner, it is a slow erosion of the economic model that justified creating the content in the first place.

Two responses, one unsatisfying. Most publishers have already pivoted to generative engine optimization, writing content specifically to get cited by AI chatbots rather than ranked by search engines. It is a reasonable adaptation, but it still depends on AI companies deciding to attribute sources rather than being required to pay for them. Cloudflare's Monetization Gateway is a structural alternative: charge the agent directly, at the moment of access, regardless of whether it gives you credit.

What it changes. If widely adopted, pay-per-access flips the incentive structure back toward content creation. Publishers get paid when agents use their work. Agents face a cost signal that reflects the value of the resources they consume. Whether the major AI companies accept that arrangement, or route around it the way search engines routed around paywalls for years, is the question the next few months will start to answer.

What people are actually watching and sharing

Cheaper workflow, same output. Anthropic's developer team posted a strategy that has picked up 7,000 bookmarks: use Claude Fable 5 as a planning advisor that drafts the architecture and assigns subtasks, then hand the execution to cheaper models. The full breakdown is here. It is the most cost-efficient way to get Fable 5-quality thinking without Fable 5-level costs on every step.

Slides from chat. ChatGPT for PowerPoint is now generally available, letting you draft, polish, and summarize presentations without leaving your chat window. For anyone still opening a blank slide and staring at it, the upgrade path just got shorter.

Claude's Plan. Someone rewrote Drake's God's Plan as a song about Claude. Give it a listen (1M views). The lyrics are, against all reasonable expectation, genuinely good.

Ten years of experience required. A Yahoo job listing went viral for requiring ten years of experience in Claude Code. Claude Code is less than one year old. The listing is almost certainly fake, but the 3,000 upvotes suggest the frustration it captures is entirely real.

DoorDash's secret benchmark. DoorDash quietly built DashBench, a multi-model evaluation system that helps the company find the maximum intelligence per dollar across AI providers. The full writeup on how they did it is a useful read for any team making model selection decisions based on something more rigorous than vibes.

Prompt Station

Handle any sales objection before the conversation stalls

This ChatGPT prompt generates a complete objection-handling playbook for any offer. Give it your product, your price, and your audience, and it maps the ten most common objections you will face, each with the emotional trigger behind it, the logical concern driving it, a response framework, a word-for-word example reply, a recovery question to keep the conversation alive, and a closing attempt. Build it once and use it across every sales conversation, email thread, or pitch call.

Act as a world class sales closer. My offer is: [INSERT OFFER]. Price: [INSERT PRICE]. Audience: [INSERT AUDIENCE]. Generate responses for objections including: too expensive, not enough time, already using another solution, need approval, not interested, bad timing, lack of trust, unclear ROI, budget constraints, and fear of change. For each objection provide: emotional reason, logical concern, response framework, example reply, recovery question, and closing attempt.

Replace [INSERT OFFER] with a plain description of what you are selling. Replace [INSERT PRICE] with the actual number, including any payment structure if relevant. Replace [INSERT AUDIENCE] with who you are selling to and what they care about most. The more specific each placeholder, the more usable each reply. Try: "a 6-week consulting engagement to reduce SaaS spend", "$4,800 paid upfront", "operations managers at Series B startups who are over budget on tooling." Run the output once, save the objection map, and reference it any time a prospect goes quiet.

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