Hi fam! 👋
Some AI updates make headlines. Others quietly save you hours every week. This edition has a bit of both—plus a workflow that might finally help you stop procrastinating on that one task you've been avoiding.
The future of AI feels Like Magic, and it’s here!
From major product updates to new regulations and changing AI strategies, here are the latest developments worth your attention:
OpenAI announced that the official DALL·E GPT inside ChatGPT will be retired on August 30. Users will still be able to generate and edit visuals through ChatGPT Images, while custom GPTs with image generation enabled will continue working normally.
Why this matters: OpenAI is consolidating image creation into its newer ChatGPT Images experience. It is less the end of DALL·E than the end of DALL·E as a separate destination inside ChatGPT.
From August 2, parts of the EU AI Act requiring greater transparency around chatbots, deepfakes, and AI-generated content officially became applicable. Providers must inform people when they are interacting with AI and add machine-readable markings to certain generated or manipulated content, while deployers must clearly label deepfakes and some AI-generated publications.
Why this matters: Labeling AI content is moving from a voluntary courtesy to a legal obligation. For publishers, brands, and content creators operating in Europe, transparency can no longer be treated as something to deal with later.
Google has abandoned plans for a separate AI Studio Android app, despite reportedly attracting around 800,000 pre-orders. Instead, its vibe-coding features will be integrated directly into Gemini, while the more advanced AI Studio web platform will remain available.
Why this matters: Google appears to be simplifying its expanding collection of AI products. Rather than asking users to install another app, it wants Gemini to become the main destination for everything from everyday assistance to building simple applications.
A generative-video project called Pippa is trying a different approach to training data by offering participating artists a share of revenue when their work contributes to generated content. Its creators argue that AI companies do not have to build creative tools by scraping artists’ work without compensation.
Why this matters: Copyright lawsuits have dominated the relationship between artists and AI companies. Revenue sharing could offer a more cooperative model—provided artists receive meaningful control, attribution, and compensation.
Independent benchmark testing found that a version of DeepSeek’s flagship model is currently the least expensive to operate among widely known AI models. According to the analysis, it costs more than 100 times less to run than Anthropic’s Claude Fable 5 on the tests examined.
Why this matters: The AI race is increasingly becoming a price war. A model does not need to be the absolute smartest if it can deliver strong results at a fraction of the cost—especially for businesses processing millions of requests.
Stop Asking AI for "The Best Tool"
Let’s be honest. We all do it.
What's the best AI image generator?
What's the best note-taking app?
What's the best video editor?
The problem? There usually isn't one.
The "best" tool depends on what you're trying to achieve. The fastest option might not have the best quality. The cheapest might be perfect for beginners but frustrating for professionals.
Instead of asking AI for one winner, ask it to compare the trade-offs.
Don't recommend one option. Compare the choices based on price, ease of use, features, speed, and who each tool is best suited for. Explain the biggest trade-off for each.
You'll get a much more useful answer—and often discover that the "best" tool isn't actually the best one for you.
Sometimes the smartest question isn't "Which is best?"
It's "Which one fits my needs?"
Ever noticed how cleaning your desk suddenly feels incredibly important the moment you have a difficult task to start? We've all been there.
You sit down, look at your to-do list, and suddenly answering emails, reorganizing your desk, or checking the fridge seems like a much better use of your time than tackling that one impossible task.
The problem isn't laziness—it's that your brain doesn't know where to start.
In this article, we show you how to use Goblin.tools (or ChatGPT) to turn one overwhelming project into a simple, step-by-step checklist that feels almost impossible not to begin. It takes less than a minute to set up and can completely change how you approach big projects.
Sometimes productivity isn't about working harder.
It's about making the first step so small that your brain stops looking for excuses.
From the Archive: Meet Goblin.tools
If this week's Panic Button Workflow caught your attention, it's worth revisiting one of our favorite productivity tools.
Goblin.tools isn't just for breaking overwhelming tasks into manageable steps. It also estimates how long tasks will take, rewrites text to match different tones, judges whether an email sounds too harsh, and helps turn messy thoughts into clear action plans.
It's one of those free AI tools that quietly becomes part of your daily workflow—and makes you wonder how you managed without it.
Text generation | Image Generation | LMAI recommends |
|---|---|---|
Like Magic AI NFT 🏞️
Our master plan is to publish an NFT image in each newsletter and hand it out to our subscribers. The earlier you subscribe, the smaller the series are. It's a future collectible, a piece of digital art that captures the essence of this moment in time.
Thank you for being a valued subscriber. Together, let's embrace the magic of AI and creativity!
LMAI221-04082026
Was this email forwarded to you? Sign up here 👇
