Do you think their endgame is achievable? Honest question, your reasoning seems balanced.
I could not find this in the S-1?
Spot on!
Exactly, the important parts are spread out over the whole text. But also: I am bad at skimming, better at close reading, and LLM text is unreadable for me as well.
I have on a few occasions tried, and failed, to instruct Claude to write in a more comprehensive way. So while it may be possible to affect it but prompting, it is not certain to work and to remain in effect for a…
I agree, well put. Data dense but information sparse. One is bombarded with facts and struggle to get what the text is actually saying. I have tried getting the LLM (Opus 4.8 or some 5.x and some other model) to write…
The problem is when the AI has to describe something you do not understand, like a complex piece of code or a series of unknown changes. Or all these horrible "sharable artifacts" that are spreading like a disease.
Why is "vi går hem till mig" incorrect?
Opposite where i am. PMs would gladly ship good enough while some dev colleagues are more strict so to say.
Yes, my point is that when people say they are more productive, and that consists of more ppt slides, there is confusion and slop happening.
A difference is the output of software development can be immediately applied in an automatic way - production leads to delivery as a matter of fact. The whole flow can actually be automated. Producing legal documents…
I think the question discussed here is more: it didn't disrupt everything in ~four years, will it take another two, five or twenty?
Is "time to prepare report" something that will actually increase overall productivity? Or does it really not matter that much?
Maybe, but what the hell does "ai native" actually mean?
What other changes have been like that? Tipping points.
The rhetoric has basically been "replace 75% of white collar work in two years" so zero impact after 9 months surely seems.. disappointing?
Well this is an actual effect. It is so easy now to generate presentations etc so as a consequence there are ten times as many that people seem to expect you to read. Productivity is higher but that which is produced…
Math was not "just" proof of concept, it was THE proof of concept, since iterating on combustion engines cannot be done nearly as efficiently.
See sibling comment. 10x measured how? In pure coding tasks under certain conditions the speedup is huge, but seems really unclear how this would transfer to any significant speedup across the whole undertaking…
Maybe, even likely. But how do you observe this? We are in this situation at work, it feels like "sure AI is helpful" but do we actually deliver any faster?
I do not mean to be mean, but how had you missed this? The models have been writing python to accomplish tasks forever (meaning a couple of years at least). The models using code/scripts in the background is not new.
NO, you build a new one every time, or else you get the hose again.
The "I don't care if it ain't true, it sucks anyway."
I like Sweden but fall and winter sure are dark. Can totally understand why it might be a bad fit for many people.
Isn't the problem (if OpenAI and Anthropic crash) that the business model is not working, so it won't be feasible to buy all the compute and carry on? If they fail, the successor must do something differently. Perhaps…
Do you think their endgame is achievable? Honest question, your reasoning seems balanced.
I could not find this in the S-1?
Spot on!
Exactly, the important parts are spread out over the whole text. But also: I am bad at skimming, better at close reading, and LLM text is unreadable for me as well.
I have on a few occasions tried, and failed, to instruct Claude to write in a more comprehensive way. So while it may be possible to affect it but prompting, it is not certain to work and to remain in effect for a…
I agree, well put. Data dense but information sparse. One is bombarded with facts and struggle to get what the text is actually saying. I have tried getting the LLM (Opus 4.8 or some 5.x and some other model) to write…
The problem is when the AI has to describe something you do not understand, like a complex piece of code or a series of unknown changes. Or all these horrible "sharable artifacts" that are spreading like a disease.
Why is "vi går hem till mig" incorrect?
Opposite where i am. PMs would gladly ship good enough while some dev colleagues are more strict so to say.
Yes, my point is that when people say they are more productive, and that consists of more ppt slides, there is confusion and slop happening.
A difference is the output of software development can be immediately applied in an automatic way - production leads to delivery as a matter of fact. The whole flow can actually be automated. Producing legal documents…
I think the question discussed here is more: it didn't disrupt everything in ~four years, will it take another two, five or twenty?
Is "time to prepare report" something that will actually increase overall productivity? Or does it really not matter that much?
Maybe, but what the hell does "ai native" actually mean?
What other changes have been like that? Tipping points.
The rhetoric has basically been "replace 75% of white collar work in two years" so zero impact after 9 months surely seems.. disappointing?
Well this is an actual effect. It is so easy now to generate presentations etc so as a consequence there are ten times as many that people seem to expect you to read. Productivity is higher but that which is produced…
Math was not "just" proof of concept, it was THE proof of concept, since iterating on combustion engines cannot be done nearly as efficiently.
See sibling comment. 10x measured how? In pure coding tasks under certain conditions the speedup is huge, but seems really unclear how this would transfer to any significant speedup across the whole undertaking…
Maybe, even likely. But how do you observe this? We are in this situation at work, it feels like "sure AI is helpful" but do we actually deliver any faster?
I do not mean to be mean, but how had you missed this? The models have been writing python to accomplish tasks forever (meaning a couple of years at least). The models using code/scripts in the background is not new.
NO, you build a new one every time, or else you get the hose again.
The "I don't care if it ain't true, it sucks anyway."
I like Sweden but fall and winter sure are dark. Can totally understand why it might be a bad fit for many people.
Isn't the problem (if OpenAI and Anthropic crash) that the business model is not working, so it won't be feasible to buy all the compute and carry on? If they fail, the successor must do something differently. Perhaps…