Inna

Crypto lover now discovering AI
Experimenting, learning actively, and sometimes worrying out loud:
will humanity make it through this intelligence race?

[Inna @InnaKalini97034]

If you are automating workflows right now: Are you spending more time tweaking your prompts, or are you starting to build strict testing structures around your agents?

[Inna @InnaKalini97034]

2. Prompting is Dead. Context Wins.
Stop trying to "trick" models with clever wording. The real skill moving forward is Context Engineering—structuring instructions, definitions, and boundary files so an background agent acts like a true teammate.

[Inna @InnaKalini97034]

Our primary output is shifting. We are no longer line-by-line conductors writing syntax; we are orchestrators designing the system (the factory) that produces the code.
As an aspiring vibe coder trying to level up over the next 4 days—this is a massive wake-up call.

[Inna @InnaKalini97034]

1. The 10% Rule (Model vs. Harness)
The raw LLM is only 10% of the puzzle. The other 90% is the Harness—the isolated sandboxes, tool schemas, and evaluation loops. Without a strict verification harness, you aren't engineering; you're just burning tokens.

[Inna @InnaKalini97034]

We are officially entering the era of "Agentic Engineering," and the traditional SDLC is dead.
Breaking down Day 1 of the new Google & Kaggle AI Agents Intensive. If you are still "vibe coding" (building pipelines on pure prompts and prayers), -that’s a massive trap, why?

[Inna @InnaKalini97034]

@GuoShenCN7 BTC

[Inna @InnaKalini97034]

Elon at Israel’s Smart Mobility Summit: ‘The overall goal is to maximize the probability that civilization has a great future.’
From robot abundance to Mars cities — this isn’t sci-fi anymore. It’s happening.
Thank you @elonmusk for building the future we all dreamed of. 🚀✨

[Inna @InnaKalini97034]

@hiarun02 I use it, and for me as a non developer it’s a great free tool. And the fact that servers are always overloaded -lots of ppl use it!

[Inna @InnaKalini97034]

@claudeai Like antigravity had for ages …after this change enterprise version started spending tokens like crazy

[Inna @InnaKalini97034]

When you finally open up to AI about all your worries...
Robot: "Understood. Deleting your problems now 🗑️"

Me (and my bunny): 😭
Therapy of future hits different. 😂

#AIRobot #RabbitLife #AIHumor

[Inna @InnaKalini97034]

@Hindollllll @KaiXCreator I do, I thing it’s the drawback of being free tool…apart from that I’m super happy with it!!!

[Inna @InnaKalini97034]

@KaiXCreator Antigravity, I work with all

[Inna @InnaKalini97034]

Twice this week, two scientists said the same thing: the "AI will cure cancer" narrative is mostly a sales pitch.

The data is a mess. Medical research is facing a reproducibility crisis—studies can't even be replicated by the same scientists who published them. Meanwhile, cancer survival rates remain brutal.

AlphaFold works because protein structures are clean, measurable, and standardized. Cancer data? Scattered across thousands of hospitals, full of errors, and built for billing codes—not science. The infrastructure gap is the real bottleneck, not model size or compute.

Only 11% of landmark pre-clinical cancer trials are actually replicable. That's not an efficiency problem. That's structural rot. We're being sold miracles while the boring, hard work of fixing data infrastructure gets ignored.

One project gives me hope: UK Biobank. 500,000 participants, whole-genome sequencing plus phenotypic data, and decades of linked health records. Done right. This is the blueprint. Clean, standardized, reproducible data is the only path to actual medical breakthroughs.

The lesson from AlphaFold's Lasker Award: high-density, standardized data beats bigger models every time. If the data isn't linked and reproducible, it isn't research. It's noise.

We're not moving fast enough. The battle for the future of medicine isn't about who has the biggest model. It's about who fixes the plumbing first.

Anyone else feel like we're being sold a bill of goods here, or is it just me?

[Inna @InnaKalini97034]

@claudeai That’s really healpful!

[Inna @InnaKalini97034]

Rabbit tried to run a serious carrot-delivery meeting…
until the AI vacuum decided he was “large organic dust-clump” and tried to deep-clean him mid-call 😭
“This is how it starts. First they clean your floor. Next they’re trying to archive your tail.” If you can’t beat them… colonize them. Who’s winning in your house — you or the smart devices? #RabbitAI #AIVacuum #SmartHomeFail #BunnyLife

[Inna @InnaKalini97034]

I watched an Andrej Karpathy interview.

It confirmed something I’ve been noticing for months.

He went from writing 80% of his own code in December 2024 to delegating 98% to AI agents.

Here’s the thing nobody talks about:

It’s not just prompt mastery.

You also need deep expertise in what you’re building.

Six months ago I couldn’t ship a working app.

Now I can ship one in days.

Why? I know exactly what I want and can direct the agents precisely.

Subject expertise + prompt mastery.

That’s the combo.

What’s your experience?

Share in comments — I’d love to hear your use cases and concerns 👇

[Inna @InnaKalini97034]

@TechByTaraa Antigravity

[Inna @InnaKalini97034]

@ollama I tried nematron super 3 and it was week …

[Inna @InnaKalini97034]

@ArtInsane81535 @icreatelife that deserves to be a poster of "save the ocean from plastic" campaign