🔈 Listen on Spotify

Hi! Welcome to the 51st edition of the TomorrowToday newsletter.

We’re here to decode the AI chaos so you don't have to. Think of us as your friendly neighbourhood tech translators - we cut through the chaos, translate the jargon, and spotlight new AI tools that matter for founders, builders, and curious minds.

Buckle up, because the future's moving fast and we're here to make sure you don't get left behind! ⚡

If you enjoyed today’s newsletter, please forward it to a friend & subscribe by following this link.

_{~5 mins read}

/YouTube /Video /Search /Learning /Entertainment

You know that feeling when you search YouTube for "how to fix a leaking tap," sit through three minutes of someone's life story before they get to the actual fix - and then realise it wasn't even the right video? Yeah. Google has had enough of that too.

YouTube just rolled out an AI-powered search carousel for Premium users in the US. Instead of dumping a list of unrelated videos at you, it analyses your query, pulls the most relevant clips from across multiple videos, and presents them with AI-generated summaries - all before you even click play. Think of it like Google's AI Overviews, but built specifically for video. You can jump directly to the exact moment in a video that answers your question, or tap through a carousel of clips to find what you need.

Planning a trip? Search "best things to do in Cape Town" and get a curated, AI-stitched answer from dozens of travel creators. Trying to learn something new? No more sitting through 45-minute tutorials to find the two-minute section that matters.

The feature is currently live for YouTube Premium subscribers in the US, with broader expansion expected. We're honestly here for this - it's a new way of working with YouTube altogether.

/Claude /AIAssistant /Coding /Writing /Research /Analytics

Look, Opus 4.7 left a lot of people underwhelmed. It arrived quietly, benchmark gains were modest, and some users quietly went back to GPT. Well. Anthropic just answered that with Opus 4.8 - and it's a significant step up.

Released on 28 May 2026, the new model posts noticeably better numbers across the board. Agentic coding jumped from 64.3% to 69.2%. Multidisciplinary reasoning climbed too. But the more interesting story isn't just the benchmarks - it's how the model behaves. Early testers (including Bridgewater Associates) flagged that Opus 4.8 is far more likely to acknowledge uncertainty, flag problems with its own outputs, and stop confidently making things up. That's a genuine and meaningful improvement for anyone using it for serious knowledge work.

There's also a new "fast mode" running at 2.5× the speed, plus Dynamic Workflows in Claude Code - which lets the model spin up multiple sub-agents in parallel to tackle massive tasks. Pricing stays the same as 4.7.

Bonus: Anthropic teased that Mythos-class models - currently being tested with a small number of organisations through Project Glasswing - are coming to all customers "in the coming weeks." If Opus 4.8 is this good, we're very curious about what Mythos brings.

/Circleback /MeetingNotes /ActionItems /Search /Automation

Let's be real: AI meeting note-takers have been good - but not quite perfect. You get a transcript and a summary, sure. But if a presenter flips through 30 slides during a call, all that visual context disappears. The notes say "discussed Q3 strategy" when what you actually need is the specific chart on slide 14 that showed the pipeline is R40 million short.

Circleback, the YC-backed meeting intelligence tool praised by Y Combinator's Garry Tan as the best AI note-taker out there, just changed that. Their latest update lets Circleback capture what's shown on screen during meetings - slides, dashboards, documents, timelines - and weave that visual context directly into your notes. Not just what was said, but what was displayed.

This is a genuinely meaningful upgrade. It means your post-meeting notes can reference a specific slide, a specific number on a dashboard, or a project timeline that was pulled up mid-call. For anyone running client presentations, team reviews, or investor updates, this closes a real gap.

In this section, we aim to spotlight an incredible AI tool or use case and guide you on how you can try it.

You might have caught the buzz from Google I/O a couple of weeks ago - but let's actually do it.

Google just made it possible for anyone - not just developers - to build a fully native Android app using plain English prompts inside Google AI Studio. No Android SDK. No Kotlin experience required. Just describe what you want, watch Gemini build it in your browser, and install it directly onto your phone.

Here's how:

The fact that this is now possible without touching Android Studio or writing a single line of code is remarkable. Google has meaningfully lowered the barrier between an idea and a working app, and we're very much here for it.

In this section, we're spotlighting real businesses using AI to solve actual problems.

Uber is one of the most AI-forward businesses on the planet. AI sets your ride price, optimises the route, and manages driver allocation in real time. But even Uber is starting to wonder whether the AI spend is actually worth it.

Uber's COO Andrew Macdonald went on record this week saying the link between rising AI tool costs and real consumer value just isn't there yet. The company had burned through its entire 2026 AI coding budget - largely on Claude Code - in just four months, after incentivising engineers through an internal leaderboard ranking teams by total AI usage. More code is being shipped. More pull requests. More individual productivity. But it's very hard to draw a line between those stats and 25% more useful features actually reaching customers.

The most compelling theory explaining this comes from Azeem Azhar at Exponential View, who drew a parallel to how electricity was adopted in early factories. In the beginning, companies simply replaced gas lamps with electric light bulbs - same workflow, slightly better lighting, no transformative gain. The real revolution only came when businesses fundamentally restructured how they operated around electricity. The lightbulb was just the beginning.

AI may be at exactly that stage. Individual workers are faster. But the workflows, team structures, and processes haven't been redesigned around AI yet. Until they are, the gains won't compound at the organisational level. The question for every business investing in AI right now isn't just are we using it? - it's have we restructured around it?

AI is full of jargon, and we’re here to decode it. Each week, we’ll give you a plain-English definition of a buzzy term you’ve probably seen (but never fully understood).

Thanks for reading TomorrowToday! We’d love to hear from you:

➡️ What would you like us to cover next?
➡️ Have a tool or topic we should feature?

We’re building this with (and for) you. 🚀
See you next Tuesday 👋