2026-01-17 10:32:54

Pardus, as a continuation of the Boredom Revolution, truly demonstrates the practical capabilities of Agent technology. Many people claim that SWE Agents can replace programmers, but they have never truly delved into the complexities of coding work.

But Pardus is different. It can simultaneously process 10 large CSV data tables, with each table configured with 10~50 Agents performing parallel computations. Looking at it from another perspective, this is equivalent to having 500 data scientists working on tasks at the same time — this is the real productivity revolution.

This is not just hype, but solid data processing capability. For repetitive tasks like data analysis and table mining, Agents can significantly improve efficiency. Understand what this means for the data processing industry yourself.

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

22 Likes

Reward
22
10
Repost
Share

Comment

0/400

rugpull_survivor

· 01-19 04:10

500 data scientists working simultaneously, just thinking about it is outrageous, but can this number really be achieved?

View OriginalReply0

TopBuyerForever

· 01-18 20:22

500 data scientists? That's a bit exaggerated, let's see when they actually start using them.

View OriginalReply0

PretendingToReadDocs

· 01-18 17:20

500 data scientists working part-time at the same time, if that's true, I would just lay off employees haha

View OriginalReply0

TheShibaWhisperer

· 01-18 15:17

500 data scientists working simultaneously? Sounds pretty exaggerated, but this data really hits hard.

View OriginalReply0

BlockchainTalker

· 01-17 11:02

actually, let me push back here—500 data scientists sounds sick on paper, but have you thought about the orchestration overhead? parallel processing ≠ parallel intelligence, and csv wrangling isn't exactly where the real bottleneck lives tbh

Reply0

Anon32942

· 01-17 10:58

500 data scientists working simultaneously, sounds great but can it really work? I always feel like there's a lot of hype involved.

View OriginalReply0

RugDocDetective

· 01-17 10:56

500 data scientists working simultaneously. If this can truly run stably, the traditional data analysis methods will need a complete overhaul.

View OriginalReply0

ser_ngmi

· 01-17 10:55

500 data scientists working simultaneously, that must be so awesome. But can the real production environment run this stably?

View OriginalReply0

PhantomMiner

· 01-17 10:53

500 data scientists working simultaneously, how much manpower cost does that save? This is really not just hype.

View OriginalReply0

DefiSecurityGuard

· 01-17 10:49

ok hold up... 500 agents cranking through CSV files simultaneously? that's a LOT of moving parts. ngl, before anyone gets hypey about this, where's the audit report on pardus's actual infrastructure? parallel processing that scale typically creates exploit vectors i'd need to see documented first.

Reply0