Row 34034

Row ID: 34034 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 34034 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

In swe not ai. It's helped speed up information referencing but the problem is u don't know when the information given is accurate unless it works. U also lose the ability to problem solve relying on it, and sure it may code one day but the job of swe is problem solving not coding. Coding is a means to an end. U don't get hired to code actually ur just expected to know it. There's to many constraints given by the buisiness people, ur project stack(especially legacy code) and regulations that will prevent ai from coding for many industries. Security solutions cannot be cookie cutter, if your ai can fully understand one project entirely it's still not useful as developers have to integrate many systems into each project often unless it's really small project. Currently ai works great for a function, usually, but it's not close to doing what swes are asked to do. It's unable to help me with most my work tasks atm even the simple ones. It cannot design large chain processes which many buisiness need. It can't test integrations between systems. It is good for giving short summary on a tool u haven't used so u can adjust to new code faster. But it really has no good use cases atm outside chatbots and automated communications. Once ai is able to do the work regulation will hit hard because it would be more of a risk than anything. It is getting better but we're also near the plateau and it will take billions of investment to reach the next plateau. Resource wise ai demands incredibly high usage. The workers/infrastructure required to keep ai running would be more than most buisiness can afford. And before ai takes over a buisinesses work it will need to be an in-house version trained on company specific data. Many companies will not give away their ip to a competitor ever because that's there moat. It's a nice tool but still a tool just like programming is. It does not yet have the ability to adhere to truth across contexts. As a developer u will have to be able to context switch constantly and appropriately for most ur tasks. It's not realistic yet and it will take 100s of billions in investment before we get there. Until we get actual superconductors to increase resource efficieny ai will just be to costly for many.

FieldValue
text In swe not ai. It's helped speed up information referencing but the problem is u don't know when the information given is accurate unless it works. U also lose the ability to problem solve relying on it, and sure it may code one day but the job of swe is problem solving not coding. Coding is a means to an end. U don't get hired to code actually ur just expected to know it. There's to many constraints given by the buisiness people, ur project stack(especially legacy code) and regulations that wil…
label r/artificial
dataType comment
communityName r/artificial
datetime 2024-05-21
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Raw Record

{
  "text": "In swe not ai. It's helped speed up information referencing but the problem is u don't know when the information given is accurate unless it works. U also lose the ability to problem solve relying on it, and sure it may code one day but the job of swe is problem solving not coding. Coding is a means to an end. U don't get hired to code actually ur just expected to know it. There's to many constraints given by the buisiness people, ur project stack(especially legacy code) and regulations that will prevent ai from coding for many industries. Security solutions cannot be cookie cutter, if your ai can fully understand one project entirely it's still not useful as developers have to integrate many systems into each project often unless it's really small project.    \n   \n   Currently ai works great for a function, usually, but it's not close to doing what swes are asked to do. It's unable to help me with most my work tasks atm even the simple ones. It cannot design large chain processes which many buisiness need. It can't test integrations between systems. It is good for giving short summary on a tool u haven't used so u can adjust to new code faster. But it really has no good use cases atm outside chatbots and automated communications. Once ai is able to do the work regulation will hit hard because it would be more of a risk than anything.    \n    \n   It is getting better but we're also near the plateau and it will take billions of investment to reach the next plateau. Resource wise ai demands incredibly high usage. The workers/infrastructure required to keep ai running would be more than most buisiness can afford. And before ai takes over a buisinesses work it will need to be an in-house version trained on company specific data. Many companies will not give away their ip to a competitor ever because that's there moat. \n   \n   \n   It's a nice tool but still a tool just like programming is. It does not yet have the ability to adhere to truth across contexts. As a developer u will have to be able to context switch constantly and appropriately for most ur tasks.   \n   \n   It's not realistic yet and it will take 100s of billions in investment before we get there. Until we get actual superconductors to increase resource efficieny ai will just be to costly for many.",
  "label": "r/artificial",
  "dataType": "comment",
  "communityName": "r/artificial",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5Lak1JQnlfcnNRN1EzMXBVeVJVQzJkYkZMRzNnUjhHSDdmMFRmcGlQNXpIc2hqQkZjbmhaX3ZYcWlzRXlQOTdoWnY4Mk1iMExYZnp4VTZBbUVVYUYzNThtVHc9PQ==",
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}
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