Hessinberg🐐 @hessinberg08 - Twitter Profile

Hessinberg🐐 @Hessinberg08

9 months ago

@pharos_network LFG!

0

6

Hessinberg08 retweeted

FortuneToldYou @Kiitanhq

10 months ago

@irys_xyz X @surfai @irys_xyz A project dealing with programmable data links and AI research infrastructure. Irys offers data access, “composable utilities” for AI, and verifiable compute. @surfai A crypto intelligence engine / dashboard. It aggregates on-chain data, social signals, sentiment, wallet flows, etc., to provide real-time insights for crypto traders and researchers. What the collaboration is about? @surfai is partnering with Irys to integrate real-time crypto intelligence with @irys_xyz data tocompute infrastructure. Through this integration, @surfai gains low-cost, high-speed data access, and can build “composable utilities” (i.e. modular tools) for AI / data workflows. The collaboration is branded as a programmable data link + AI research platform. So in effect, @surfai is likely using @irys_xyz infrastructure to power or enhance its data ingestion, processing, and AI workflows, making its analytics faster, cheaper, more scalable. What it could imply, benefits & risks? Benefits ● Speed & scale: Better data pipelines could reduce latency (faster insights) and allow more data sources. ● Modularity: The “composable utilities” part suggests that pieces of the system can be plugged in or swapped out, enabling flexible AI workflows (e.g. different models or feature modules). ● Cost efficiency: If @irys_xyz offers cheaper data/compute options, then @surfai can scale with lower marginal cost. ● Better AI output / features: With improved infrastructure, @surfai might roll out smarter predictive analytics, anomaly detection, or richer insights. Risks? ▪︎ Data validity and integrity: As with any AI + data system, the garbage-in–garbage-out concern is real. If the data feeding the models is noisy, biased, or manipulated, insights may be flawed. ▪︎ Transparency: How transparent will the system be about how signals or scores are generated? ▪︎ Dependence and vendor lock-in: @surfai relying on @irys_xyz stack could make them dependent on Irys for future upgrades or changes. ▪︎ Security and trust: Since we’re dealing with crypto / on-chain data + AI, adversarial or malicious actors could try to game the system. Conclusion The Irys × Surf Copilot collab links Irys’s programmable data + AI infrastructure with Surf Copilot’s crypto intelligence engine leading to faster, cheaper, and more scalable insights for traders and researchers, with modular AI tools built on reliable data pipelines.

Kiitanhq's tweet photo. @irys_xyz X @surfai

@irys_xyz
A project dealing with programmable data links and AI research infrastructure. Irys offers data access, “composable utilities” for AI, and verifiable compute.

@surfai
A crypto intelligence engine / dashboard. It aggregates on-chain data, social signals, sentiment, wallet flows, etc., to provide real-time insights for crypto traders and researchers.

What the collaboration is about?

@surfai is partnering with Irys to integrate real-time crypto intelligence with @irys_xyz data tocompute infrastructure.

Through this integration, @surfai gains low-cost, high-speed data access, and can build “composable utilities” (i.e. modular tools) for AI / data workflows.

The collaboration is branded as a programmable data link + AI research platform.

So in effect, @surfai is likely using @irys_xyz infrastructure to power or enhance its data ingestion, processing, and AI workflows, making its analytics faster, cheaper, more scalable.

What it could imply, benefits & risks?
Benefits

● Speed & scale: Better data pipelines could reduce latency (faster insights) and allow more data sources.

● Modularity: The “composable utilities” part suggests that pieces of the system can be plugged in or swapped out, enabling flexible AI workflows (e.g. different models or feature modules).

● Cost efficiency: If @irys_xyz offers cheaper data/compute options, then @surfai can scale with lower marginal cost.

● Better AI output / features: With improved infrastructure, @surfai might roll out smarter predictive analytics, anomaly detection, or richer insights.

Risks?
▪︎ Data validity and integrity: As with any AI + data system, the garbage-in–garbage-out concern is real. If the data feeding the models is noisy, biased, or manipulated, insights may be flawed.

▪︎ Transparency: How transparent will the system be about how signals or scores are generated?

▪︎ Dependence and vendor lock-in: @surfai relying on @irys_xyz stack could make them dependent on Irys for future upgrades or changes.

▪︎ Security and trust: Since we’re dealing with crypto / on-chain data + AI, adversarial or malicious actors could try to game the system.

Conclusion
The Irys × Surf Copilot collab links Irys’s programmable data + AI infrastructure with Surf Copilot’s crypto intelligence engine leading to faster, cheaper, and more scalable insights for traders and researchers, with modular AI tools built on reliable data pipelines.

3

4

3

0

83

Hessinberg🐐 @Hessinberg08

10 months ago

https://t.co/33MIgvms3h

0

27

Hessinberg🐐 @Hessinberg08

10 months ago

https://t.co/AokpYVOATs

0

17

Who to follow

JEX

@onchain_soul

sr designoor / memetic scientist @blockworks

Ra Xa

@Raza0fficia

DENT SHIB GALA ICP FIL MOVER BABYDOGE…?

oxRevs🐸

@oxRevs_

Stay Humble. Stack Sats. There is No Second ₿est. ⚡️

Hessinberg🐐 @Hessinberg08

10 months ago

@TCGsol DUvSf2YUTJcECdcs5vTV1Xv2BGpShc8ReazfqUBPR8XF

0

8

Hessinberg🐐 @Hessinberg08

10 months ago

@HeisArnold @zama Bullish on @zama

0

9

Hessinberg🐐 @Hessinberg08

11 months ago

@princemovick @0xCapx @The_Creed_Tech Let's get it Boss

1

2

0

12

Hessinberg08 retweeted

Princemovic.ethⓂ️Ⓜ️T 👑🪙🪢 @princemovick

11 months ago

Big win today 🎉 Ranked No.12 on the Capx campaign 🚀 it’s proof of consistency, effort, and showing up for the community. @0xCapx is building a future where apps, assets, and people all connect onchain, and being part of this journey feels great. @The_Creed_Tech gCapx #Capx