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Welcome Automaters!
Picture this: You’re at some chaotic conference, music thumping, people yelling across the room… and somehow you can still hear the one conversation that actually matters.
Yeah. Meta just pulled that off.
Their Ray-Ban Meta glasses now have a conversation focus mode that basically gives you selective super-hearing. It locks onto the voice of the person you’re talking to and boosts it — even when everything around you is straight-up noise pollution.
And the crazy part? No new hardware.
It’s literally just software magic using the same microphones and open-ear speakers the glasses already had.
You can even tweak the focus level with a swipe on the right temple or through the settings.
Honestly? This is kind of a big deal—especially as everyone drags themselves back to in-person events and chaotic meetups.
Oh, and Meta tossed in a fun little bonus: Spotify integration that plays music based on what you’re looking at.
Is it slightly gimmicky? Yes. Do I still want to try it? Also yes.
But right now, it’s rolling out in the U.S. and Canada through early access, and the message is clear: smartglasses are officially moving from novelty to necessity.
And that’s what makes any tech dangerous—in a good way.
Here's what we have for you today
🦾 GPT Image 1.5: OpenAI’s Faster, Smarter Image Generation feature
If this week felt extra in AI land, you’re not imagining it.
OpenAI just rolled out a brand-new version of ChatGPT Images called GPT Image 1.5, and this is not a chill, low-stakes update. This feels like a direct response to getting absolutely pressed by Google.
Because let’s be honest: Google’s Gemini has been on a heater.
Gemini 3 drops. Nano Banana Pro goes viral. Benchmarks start piling up. And suddenly OpenAI’s like… oh, we’re outside now.
And now… here we are.
So what’s actually new with GPT Image 1.5?
OpenAI says it brings:
Better instruction following
Way more precise edits
And—this part matters—up to 4× faster image generation
Which is honestly hilarious timing, considering literally yesterday we were watching images crawl out of ChatGPT like they were being hand-painted by a very tired intern.
But here’s the best part: It’s live for all ChatGPT users and via the API, starting this week.
Now… about that image speed
If you’re on our premium tier, you probably already know where this is going. But quick confession anyway:
Yesterday, we ran our own little experiment to see which model was actually the best—and fastest—at image generation. And yeah… if you were watching along, you probably saw us slowly lose the will to live waiting for ChatGPT to spit out images.
It got so bad we straight-up handed the unofficial crown to Gemini for faster, smoother, fewer vibes lost in the process.
But uh… Looks like the table just flipped.
Because GPT Image 1.5 isn’t just faster It’s finally good at the one thing image models have historically been terrible at: iteration.
You know — making a small change without blowing up the entire image.
Before, prompts like: Adjust the facial expression. Cool the lighting. Or Fix the text.…were a total coin flip.
But now? It’s shockingly consistent.
You can add, remove, blend, or tweak elements without breaking everything:
Facial likeness stays consistent
Lighting stays consistent
Composition doesn’t implode
If you’re doing real work with images, this is a huge deal.
And yes… text finally works. Dense text, small fonts, and layouts actually render correctly now.
Also… the interface got a glow-Up.
OpenAI quietly redesigned the whole experience. There’s now a dedicated Images section in the ChatGPT sidebar where you can:
Access past image generations
Use preset styles
Explore trending prompts
Upload one-time likeness references
And Yes, OpenAI brought receipts
On independent benchmarks, GPT Image 1.5 is already making noise. It came out:
#1 in text-to-image on Artificial Analysis, with a solid gap over second place
Top spot in image editing on LM Arena, narrowly beating Nano Banana Pro
Massive gains over its own previous version.
The Big Picture:
This isn’t just about prettier pictures. This is image generation moving from toys to tools that are Production-ready. Fast enough to stay in flow. Precise enough to trust.
And it’s very clearly part of OpenAI’s broader sprint to reclaim momentum.
Yesterday, we were handing Gemini the trophy. But today?
OpenAI’s back in the race—and moving like a team that really doesn’t want to lose again.
Go check it out, and maybe take it for a spin yourself.
A Better Way to Deploy Voice AI at Scale
Most Voice AI deployments fail for the same reasons: unclear logic, limited testing tools, unpredictable latency, and no systematic way to improve after launch.
The BELL Framework solves this with a repeatable lifecycle — Build, Evaluate, Launch, Learn — built for enterprise-grade call environments.
See how leading teams are using BELL to deploy faster and operate with confidence.
✍️ Editor’s Corner
Hey Automaters,
As we start transitioning into the winter holidays, I want to say a big thank you for being a part of our reader community.
We’re grateful for your support, comments, and feedback. Your comments inspire us as we aim to deliver a high-quality, free product that can inform, challenge, and inspire.
We will pause our newsletter on December 20th so our team can take a well-deserved break, but we’ll be back on January 5th, 2026.
Until then, enjoy the holidays with your family, friends, and loved ones. In the age of AI, it’s these human connections that matter even more.
Cheers,
Tak Lo, Editor, The Automated
we are now this big!
🧱 Around The AI Block
💼 US government launches ‘Tech Force’ to hire AI talent.
🪰 Deep-learning model predicts how fruit flies form, cell by cell.
🎙️ Podcast industry under siege as AI bots flood airways.
🙅♂️ GNOME bans AI-generated extensions.
🧑🔬 Google tests an email-based productivity assistant.
🤯 Everbloom built an AI to turn chicken feathers into cashmere.
🥗 DoorDash rolls out Zesty, an AI social app for discovering new restaurants.
🤖 Adobe Firefly unleashes prompt-based video editing and major third-party AI model integration.
🛠️ Trending Tools
Noiz Agent creates podcasts, audiobooks, and videos with cinematic emotional voice cloning that laughs, whispers, and breathes naturally.
Vomo records your meetings, lectures, or memos and instantly provides perfect written transcripts in 50+ languages.
Pixpretty is an easy-to-use photo editor that removes backgrounds, retouches portraits, and adjusts colors for clean, professional edits.
Freudly is an AI designed for mental support and psychological listening, helping you process thoughts and emotions.
Yolly AI combines the world’s best AI video & image models at the price of a latte, letting you generate cinematic AI video with realistic sound and lush visuals.
🤖 AI Workout Of The Day: How to Get Better Results from Any AI Video Generator
AI video generation is where creativity meets automation—but not all models bring ideas to life equally.
We tested ChatGPT, Gemini, and DeepSeek to see which one can take a concept and turn it into a polished, coherent, and engaging video.
The goal isn’t just visuals, it’s storytelling, clarity, and flexibility across different styles and formats.
How to Use This Prompt Effectively
Define the Concept Clearly: Describe the story, scene, or message you want the video to convey.
Specify Style & Tone: Indicate duration, mood, pacing, resolution, and visual style (e.g., animated, cinematic, explainer).
Include Key Elements: Mention props, text overlays, or transitions.
Include Visual & Audio Details: Specify scenes, characters, backgrounds, voiceover style, and music preferences.
Encourage Output Options: Ask for different versions, camera angles, or editing styles to compare adaptability.
Compare Across Models: Evaluate which AI produces coherent, visually appealing, and engaging content with narrative flow, timing, and overall polish.
PS: The live ChatGPT vs Gemini vs DeepSeek side-by-side comparison is exclusive to premium subscribers. If you want the full showdown, now’s the time to upgrade.
⚡ Prompts to try:
“Create a 60-second animated explainer video about the benefits of remote work. The video should feature:
1. A friendly, professional narrator voice.
2. Animated characters working from home, using video calls, and collaborating online.
3. Engaging visuals with bright, approachable colors and smooth transitions.
4. Background music that is upbeat but not distracting.
Include a clear beginning, middle, and end. Ensure the pacing allows viewers to easily follow the message. After generating, create one alternative version with slightly different scene arrangements and transitions while maintaining the overall style.”
Example 2:
“Create a short video (30–60 seconds) based on the concept [insert concept, e.g., a new AI productivity app]. The video should:
1. Clearly communicate the main message
2. Have a consistent visual style (e.g., modern, sleek with upbeat music and smooth transitions)
3. Show a user interacting with [insert prop, e.g., an app on a laptop and smartphone]
4. Include text overlays to emphasize benefits
5. Use cinematic camera angles or smooth motion graphics for visual engagement
6. Maintain smooth flow, engaging pacing, and tone appropriate to the concept (professional, casual, fun)
7. Provide two alternative versions with slightly different pacing, visual style, and scene composition
8. Ensure the output is adaptable for social media, presentations, promotional content, and consistent with a tech-forward brand styleP.S. Each Workout of the Day (WoD) is powered by original prompts written by our team — no recycled or external templates here. That means lower risk of prompt injection or manipulation, and higher trust in what you’re creating.
Also…
Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99
Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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