Artificial Sweetener #11 - Meta keeps stacking talent and compute & more

Artificial Sweetener #11 - Meta keeps stacking talent and compute & more

Artificial Sweetener #11 - Meta keeps stacking talent and compute & more

Jul 28, 2025

Good morning. I am Abraham Noya, COO at AI Advantage. I read the firehose so you do not have to. Here is the no BS version of what actually changes your day, your family routines, and your systems at work.


1. China pushes cooperation while the US talks speed

What happened At the World Artificial Intelligence Conference, China proposed joint research, open data sharing, cross border infrastructure, and AI literacy for developing nations. It also floated a global body to coordinate risk and governance. The US plan that landed days earlier leans hard into growth and deregulation.

Why it matters in real life Travel, finance, and education apps you use may start asking where your data lives and who can access it. If you sell to global buyers, data residency and interoperability now affect deal speed as much as features.

Abe’s move Publish a one page note that says where your data sits, who can see it, and how you comply. Make it copy paste friendly for procurement. Parents and solo owners should do a lighter version for any tool that touches customer contacts or student data.


2. Workers are finally using AI daily

What happened Slack reports a sharp jump in daily AI use with real gains in output and job satisfaction. Translation. Teams are moving from curiosity to habits.

Why it matters in real life The win is not flashy chat. It is shaving minutes off recurring tasks. Drafts appear faster, CRM fields are cleaner, and onboarding checklists get done without a nudge.

Abe’s move Pick three repeat asks that waste time each week. Example. Turn common customer questions into saved replies or a lightweight agent that fills the same five CRM fields the exact same way every time. Track time to first draft and time to first reply. If those do not move, you are LARPing.


3. Meta keeps stacking talent and compute

What happened A senior researcher with OpenAI pedigree is now set to guide Meta’s new superintelligence unit. The message is clear. More model families are coming and the infrastructure is paid for.

Why it matters in real life Ad targeting, creative formats, and inference cost will keep shifting. Expect cheaper tokens or bundled credits to show up, plus new tools inside the platforms you already use.

Abe’s move Build a model swap plan. Keep prompts, guardrails, and evaluation checks separate from any one model. You want to test a new model in a day, not in a quarter.


4. Runway Aleph aims at controlled video editing

What happened Runway showed an in context model that edits existing footage. Think new camera angles from one shot, object removal, relighting, and the next shot in a sequence.

Why it matters in real life This is not text to random clip. It is directed edits. That means faster refresh for ads, product tours, and training videos without reshoots.

Abe’s move Create a three scene master video for your product. Use a tool like Aleph to generate channel variants. Tie the sprint to funnel math. If click through, first reply, or booked calls do not lift within two weeks, roll it back.


5. DIY avatars are getting usable

What happened With a small photo set you can train a character and animate speech using modern video tools.

Why it matters in real life You can record an intro or explainer while the kids nap or between calls. Speed beats polish for internal training and quick customer education.

Abe’s move Use it for founder intros and onboarding only. Add a clear disclosure line and keep a human recorded version for regulated buyers or sensitive topics.


6. Build small apps without a dev queue

What happened Tools like Lovable promise idea to working app in hours, with wiring for auth, payments, and databases.

Why it matters in real life That pricing calculator or intake mini app you keep postponing can be live this weekend. Great for testing an offer or capturing intent with real data.

Abe’s move Ship one tiny app. Collect only the fields you actually use. If it does not move a metric in two weeks, archive it and move on. No romance.

Abe’s take this week

The winners are boring in the best way. They reduce clicks, shorten response time, and keep clean handoffs. Everything else is noise.


Five minute moves

  • Write a plain English data note for customers and partners. One page.

  • Automate the top three repeat questions into saved replies or a simple agent.

  • Set up an A B task where two models solve the same job with the same guardrails. Track time and error rate.

  • Build one mini app that collects intent or schedules a call. Keep it simple.

  • Create a short video master and generate two variants. Watch first reply time and qualified meetings.


Tools I am using this week

Runway Aleph. Use for fast ad refresh and product demo relighting. Start with a three scene master and export channel variants. Judge lift in click through, first reply, and booked calls within two weeks.

Slack AI and Workflow Builder. Turn your top repeat questions into saved replies and workflows. Auto fill CRM fields and alert a human only on exceptions.

Lovable. Ship a pricing calculator or intake app in hours. Publish a live link, watch completion rate and qualified meetings, then keep or kill with data.

Freepik Character plus Gemini Video or Google Veo. Train with twelve to twenty four varied photos. Use for quick founder intros and onboarding clips with a clear disclosure. Keep a human recorded version for regulated buyers.

• Model swap harness. A simple test bed that runs the same prompt on two models and logs time per task, cost, and error rate. Make model choice a data call, not a debate.


Want to stay ahead of AI — not the hype, just the real tech quietly changing how we live, work, and parent? Join our free AI Advantage community here: The AI Advantage Community — Thanks for reading, Abe.

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