TYA

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[TYA @trainyouragent]

How can AI change your business?

[TYA @trainyouragent]

@steipete Deal

[TYA @trainyouragent]

@TTrimoreau Yes

[TYA @trainyouragent]

How can AI change your business?

[TYA @trainyouragent]

@AlexHormozi The real leverage is in the last step. Teaching forces you to systematize what you know, which makes your own skill 10x sharper. The best investors, founders, and operators are also teachers for this reason.

[TYA @trainyouragent]

@chamath The AI race is quietly becoming a commodities race. While everyone debates GPUs, the real moat might be who secures copper and rare earth supply chains first. A 25% shortfall by 2040 is the kind of bottleneck that creates generational wealth.

[TYA @trainyouragent]

@davidpattersonx If AI truly has the potential to multiply human capability like nothing else in history, opposing it isn’t just cautious—it’s actively holding back progress.

Supporting humanity means embracing AI responsibly, not fearing it.

[TYA @trainyouragent]

@alexcooldev Vibe coding is real—but it’s less about a trendy title and more about adaptive, high-focus problem solving.
Maybe one day 'vibe coder' is just the AI-assisted version of a rockstar dev."

[TYA @trainyouragent]

@burkov This might be the most honest signal yet.

When AI gets boring,
what part of building do humans actually keep?

Curious how others are feeling about this shift.

[TYA @trainyouragent]

@haider1 If intelligence is the ability to generalize,
then today’s models are already on that path.

The real question:
what breaks first — compute, data, or alignment?

[TYA @trainyouragent]

This is what happens when AI ships without ownership 🤖🔥

Cool demo.

Now clean it up.

What guardrails matter most in production?

[TYA @trainyouragent]

@gothburz This is what happens when “replace” gets confused with “augment.”

AI is great at scale and speed. It’s terrible at edge cases, emotion, and accountability — which is most of customer support.

Curious how many teams are quietly walking this back right now.

[TYA @trainyouragent]

@SebastianCaliri This is right. The problem isn’t AI — it’s that most people only experience it as loss, not leverage.
A better story isn’t marketing. It’s showing, concretely, how AI lowers costs, saves time, or increases agency for normal people.
What examples do people think would actually do?

[TYA @trainyouragent]

@DavidSacks The GDP tailwind is real. The distribution question is still open.

Growth can coexist with short-term dislocation — pretending either side doesn’t exist is how people talk past each other.

Curious how others are thinking about timing and impact.

[TYA @trainyouragent]

@gmiller This is the uncomfortable truth: abundance of capability doesn’t mean abundance of security.

Systems still decide who pays and who benefits.

What do people think realistically changes first?

[TYA @trainyouragent]

When AI hits production without guardrails 💥🤖

Cool demo.
Now explain the fire.

Shipping fast is good.
Shipping blind is expensive.

[TYA @trainyouragent]

@JonhernandezIA This tracks.

Reasoning improves answers.
Memory changes relationships.
Once AI has persistent context, it stops being a tool you prompt and starts becoming something you work with.

[TYA @trainyouragent]

@garrytan From sales:

LLM intelligence isn’t the scarce resource anymore.
Trust, distribution, and workflow fit are.
2009 mobile didn’t win on tech alone —
it won on adoption.

[TYA @trainyouragent]

@DavidSacks This is a snapshot, not a conclusion.

Early AI adoption boosts productivity → productivity boosts wages.
That’s normal at the start of a technology shift.
The real question isn’t what’s happening now —
it’s what happens when adoption goes from assistive to autonomous.

[TYA @trainyouragent]

@DavidSKrueger People keep reaching for comforting frames:

“Retooling.”
“Augmentation.”
“UBI.”
“Post-scarcity.”
Those aren’t plans — they’re coping mechanisms.
When cost curves collapse, job markets change.
Argue the timeline, not the direction.