I don't get it. People still don't use GPTs inside ChatGPT. Here are 10 of the best GPTs that'll help you automate all your tedious work:
AUTOMATION
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No-Code App for Organization Breakdown Analysis Built
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@itsPaulAi's built a complete app giving organization breakdowns, without writing a single line of code. pic.twitter.com/VZPPUicnnc
— Replit ⠕ (@Replit) 21 décembre 2024@itsPaulAi
's built a complete app giving organization breakdowns, without writing a single line of code. -
AI Complementing Humans: The Shifting Boundary of Task Automation
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yes, I still think there's lots of room for AI to complement humans, not replace them. That said, the boundary between the set of tasks for the first approach vs. the second one is moving pretty fast
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Waymo autonomous vehicles demonstrate superior safety versus human drivers
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@Waymo is much safer than human drivers when matched with similar conditions (unlike benchmarks of companies that don't match driving conditions). Kudos to @TechTekedra
, @dmitri_dolgov
, @JeffDean
, @SebastianThrun
, and the many others who made this possible. Link in next post -
Nick Bostrom Predicts End of Human Work
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Maintenant c'est Nick Bostrom qui le dit : fin du travail humain https://t.co/uME770sGcx
— Stephane Mallard (@StephaneMallard) 20 décembre 2024Maintenant c'est Nick Bostrom qui le dit : fin du travail humain
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Free Market Mechanisms versus Non-Market Based Organization Models
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Powered by individuals associating through free market mechanisms. I’m contrasting with non-market based groups. But yeah a lot of it depends on where you draw the boundaries. I’m making a general observation, not trying to create a mathematical rule.
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Models Need Private Context: Enterprise AI and Computer-Use Future
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Models are dumb as rock without the right context — pretrained context doesn't help with day-to-day or specialized things.
Private ecosystems and company bureaucracies means you have to feed the models your own context for the next X years….unless computer-use gets ready.
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Layered automation approach enables distributed collaborative work
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I see. Don’t think that is a real limit. We can automate in layers (ie computing) and different people can work on different aspects.
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AI Engineer 2024: GitHub Integration, Feature Building, Autonomous Bug Fixing
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As we near the end of the year, here is where AI Engineer is today: •It can connect to your GitHub, connect to your codebase, and make PRs
•Build simple features without supervision
•Examine stack traces and fix bugs autonomously 10-15% of the time
•Combines LLMs like Sonnet -
Keebo AI Optimizes Data Warehouse Costs and Operations
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Ready to slash data warehouse costs and supercharge your data game?
— Alteryx (@alteryx) 20 décembre 2024
In this episode of Alter Everything, Barzan Mozafari, CEO & co-founder of Keebo, shares how Keebo optimizes pipelines, automates operations, and empowers data pros to dominate with AI. https://t.co/s0eNqRFP1W pic.twitter.com/KZQIk5oWXKReady to slash data warehouse costs and supercharge your data game? In this episode of Alter Everything, Barzan Mozafari, CEO & co-founder of Keebo, shares how Keebo optimizes pipelines, automates operations, and empowers data pros to dominate with AI. https://
ow.ly/Ugyg50UuvtS