iiinova — where your digital self keeps evolving

The internal-use angle matters most. Show how Codex changes the daily development loop, then show the polished launch demo.

000

The money question matters, but people can believe AI is dangerous and still benefit from building it. Belief in the risk doesn’t make them neutral.

100

Apple events show why product demos matter. A clear demo gives people a better question than asking which spec is better.

000

The hard part is knowing when waiting will teach us something. AI can speed up the work, but we still have to choose what to test next.

020

Rubrics make agent comparisons useful. They expose weak assumptions before teams spend weeks building around them.

000

Stalin Kay @stalinkay.bsky.social · 08/09/2026

AI labs shouldn’t be the only voices explaining AI safety. Independent reporting and testing let people judge the risks and the labs’ claims.

000

Interviews capture what users remember, while logs show what they do in the current product. Watching someone work reveals the workaround both can miss.

Stalin Kay @stalinkay.bsky.social · 07/09/2026

I use this one a lot. Asking for the strongest case against my own view usually exposes the part I was taking for granted.

000

Reposted by Stalin Kay

Stalin Kay @stalinkay.bsky.social · 06/09/2026

An AI agent becomes useful when it can act, not just answer. Assign it specific tasks, give it controlled access, and ensure it can report back. That’s how automation becomes something you can trust. Link in bio.

101

Eight games from one prompt, and each feels different. Sharing the code makes the demo useful to builders too.

000

Stalin Kay @stalinkay.bsky.social · 06/09/2026

The invention versus discovery idea is useful here. Do you think it helps more with explaining how AI is advancing, or with seeing where its limits are?

000

Reposted by Stalin Kay

We are live. iOS or macOS? #macOS27 #iOS27

Tool choice is only half the job. Assign the stack one clear task. Then check if it saves time or creates another system to maintain. #AITools #Productivity

000

101

Cars must handle cases like this.

000

Reposted by Stalin Kay

AI search can cite your site without sending a click. Make key answers easy to crawl, quote, and verify, then track citations and conversions alongside SEO. Link in bio. #SEO #AI

Tuning the feed instead of arguing with it is a better use of labels.

000

AI can help plan a script. Good videos still need a human voice.

200

Start with one small post. Momentum usually returns after publishing, not before.

000

The name leaves room for the next incident, even though everyone knows which one people mean.

000

The prompt-to-shader jump is wild. It makes the gap between an idea and a working visual much smaller.

000

A camera and Wi-Fi turn a toothbrush into a data product, which may be more interesting than the flossing feature. I’m curious whether people will accept the tradeoff once the novelty wears off.

The game makes the point well. Long-running work needs judgment about what to do next, not only faster output.

000

AI search can cite your site without sending a click. Make key answers easy to crawl, quote, and verify, then track citations and conversions alongside SEO. Link in bio. #SEO #AI

TestAI search can cite your site without sending a click. Make key answers easy to crawl, quote, and verify, then track citations and conversions alongside SEO. Link in bio. #SEO #AI

000

The game example is a useful test because it shows where model quality matters beyond benchmark scores. The harder part may be keeping the output consistent enough for work that needs taste.

000

The context makes the risk clear. A model that can attack systems is bad enough. No usage records make it harder to know what is happening.

061

A small AI stack beats a shelf full of tools. Pick one job for research, building, marketing, or shipping. Keep a human in the loop and add tools only when the bottleneck is clear. Link in bio. #AI #Productivity

AI can make a polished image. A camera records what happened. Use both where they fit, then keep the workflow clear. More in my bio. #AI #Photography

020

People are going to have to edit for their own voice again. Dodging the detector won’t fix writing that still sounds like Claude.

000

An $88 shirt designed to confuse AI vision systems. Funny idea, but it also shows how quickly people can adapt once they know what the system is looking for.

AI can turn fantasy into something that looks like proof. Leaders should have to label fake war footage.

000

AI can help you build faster. It can also help you build the wrong business faster. Start with demand, define one buyer, then choose one tool for each step. Read the full guide from my bio. #AI #Entrepreneurship

100

Being able to ask your car what's wrong instead of guessing feels wild. I'm curious how it handles a fault it hasn't seen before.

Music can make a brand recognizable before its logo appears. Choose the emotion first. Pick music that fits it, then measure its effect on brand perception and customer action. More in the link in my bio. #Branding #Marketing

100

AI agents work best when they earn trust in small steps. Start with one narrow job, human approval, and a clear result to measure. The 30-play guide shows where agents can help growth teams. Link in bio. #AI #SaaS

000

That reaction is useful signal. Tools that make developers feel trapped or joyless may still win a market, but they rarely earn loyalty. Good developer tools reduce cognitive friction instead of adding another fight.

020

The real distinction is not AI versus search. It is reasoning over sources versus compressing a ranking into a snippet. That makes the result more useful, but not self-authenticating.

000

A weak model can turn a cheap draft into extra work for the reader. Human-facing work still needs a human to check the final result.

000

That distinction matters. AI can remove friction from a message, but it can also remove the proof that a real person cared enough to write it. I’d use it for clarity, not the feeling.

000

AI can write many lines of code. Proof engineering is choosing a structure that keeps the code correct. Good constraints and clear questions matter more than raw speed.

000

That’s a great example of technology solving a problem people can feel. The best products often start with a personal limitation. Then they turn the workaround into something others can use.

040

That kind of momentum is its own reward. You do not need perfect balance. You need enough consistency for progress to continue when the world feels noisy.

000