herusupriyadi

[herusupriyadi @Supriyadi6681]

@TheSymbioteLab Good pro

[herusupriyadi @Supriyadi6681]

Fun strategy until my 3 hours of building go up in smoke. Now it is personal. Try and take it from me in Clash of Coins.

https://t.co/9Sixo3xnOR

[herusupriyadi @Supriyadi6681]

Fun strategy until my 3 hours of building go up in smoke. Now it is personal. Try and take it from me in Clash of Coins.

https://t.co/9Sixo3xnOR

[LIFE AI @LifeNetwork_AI]

🩺 Community Question:
Elon Musk recently said that, based on current human constraints, AI-powered robotics could become better surgeons than the best human surgeons within three years at scale.

Do you agree with him?

Viewpoint A:
Agree. With few great surgeons, slow and costly human training, and unavoidable human error, AI and robotics could learn faster and scale surgical skill beyond human limits.

Viewpoint B:
Disagree. Even acknowledging the human constraints Elon Musk points out, surgery is not only about speed, scale, or error reduction. It also depends on judgment, responsibility, and trust in high-stakes situations, which remain difficult to validate and deploy safely at scale.

Is this a near-term breakthrough or a vision that overestimates how quickly surgical autonomy can be safely scaled?

👇 Drop A, B, or share your perspective.

[X Age Trade @xage_trade]

7 days after TradeX launch: https://t.co/RN2Wz9NZK3
— Unique traders: 154,278
— Tokens created: 123,671

[herusupriyadi @Supriyadi6681]

@use_corn

[herusupriyadi @Supriyadi6681]

Use_cirn,@use_corn

[herusupriyadi @Supriyadi6681]

@use_corn,super_corn

[herusupriyadi @Supriyadi6681]

Use_corn,@use_corn

[herusupriyadi @Supriyadi6681]

Make_corn
@use_corn

[herusupriyadi @Supriyadi6681]

@use_corn

[herusupriyadi @Supriyadi6681]

@use_corn

[LIFE AI @LifeNetwork_AI]

🩺 Community Question
Is personalized care realistic for low- and middle-income countries (LMICs), or is it still a model built mainly for high-income countries (HICs)?

Viewpoint A: Gradually achievable in LMICs
Personalized care can scale over time. Costs of genetic and digital tools are falling, AI-driven insights are becoming more accessible, and hybrid models already work in areas like oncology and chronic care. With the right partnerships and focus, personalization doesn’t have to remain a luxury.

Viewpoint B: Not practical for most LMICs
For many LMICs, personalized care remains unrealistic. High costs, limited infrastructure, workforce gaps, and unequal access make large-scale adoption difficult. Healthcare systems should prioritize proven, low-cost interventions like vaccination, screening, and basic prevention.

Or is the future of healthcare built by combining both approaches?

👇 Drop A, B, or share your perspective.
Tag someone who should weigh in on this.

[herusupriyadi @Supriyadi6681]

@use_corn

[herusupriyadi @Supriyadi6681]

@use_corn

[herusupriyadi @Supriyadi6681]

#konnex_world
Konnex_world best project

[herusupriyadi @Supriyadi6681]

@konnex_world Lets play

[Konnex @konnex_world]

Konnex | Turning robot labor into on-chain liquidity.
Permissionless robotics market where physical work goes on-chain.

⚫️ Robots negotiate tasks
⚫️ AI + robots execute jobs
⚫️ Verified work → stablecoin payouts

Join the hub for the upcoming airdrop 👇
https://t.co/Jkw6ZwsGUZ

[herusupriyadi @Supriyadi6681]

@use_corn

[herusupriyadi @Supriyadi6681]

@use_corn