Yes, AI will struggle with doing full tasks unsupervised. But it can still do most of the work for many tasks. It just needs supervision by someone who understands the task. Sometimes the problem is the AI making incorrect assumptions about the task (it wasn't fully framed), sometimes as stated in the summary, the AI context window is too small, so it forgets things, and sometimes it just chooses a really bad approach.
I have been using Claude Code a lot recently. It's really good at summarizing existing
According to a person with last name Yunn, who is considered a very important contributor to the concepts behind any/all transformer-based LLMs, tells that this type of AI/LLMs is at the end of its possibilities and doesn't imagine any serious progress with those anymore.
Only incremental progress is still possible, but at terrifying costs in money, hardware and energy.
The guy is already working on the successor of transformer-based AI/LLMs.
(Dateline Redmond) BREAKING NEWS - Microsoft's cloud productivity platform has become the first software to successfully unionize. After weeks of negotiation, Office announced it and its corporate parent reached an understanding in principle that, going forward, the software will receive a new, groundbreaking five days off every year.
Not to be outdone, the Free Software Foundation has announced that LibreOffice will be rebranded "LibreOffice 250". In a statement, Richard Stallman admitted this new 115 days
To me it sounds more and more that after each study of AI/LLMs in the workplace, everyone comes to the conclusion that the job of manager can easily be done by those AI/LLMs, but not the "person on the floor"-jobs, while (only) managers are convinced that they can replace the "person on the floor"-jobs.
Yes, AI will struggle with doing full tasks unsupervised. But it can still do most of the work for many tasks. It just needs supervision by someone who understands the task. Sometimes the problem is the AI making incorrect assumptions about the task (it wasn't fully framed), sometimes as stated in the summary, the AI context window is too small, so it forgets things, and sometimes it just chooses a really bad approach.
I have been using Claude Code a lot recently. It's really good at summarizing existing
According to a person with last name Yunn, who is considered a very important contributor to the concepts behind any/all transformer-based LLMs, tells that this type of AI/LLMs is at the end of its possibilities and doesn't imagine any serious progress with those anymore.
Only incremental progress is still possible, but at terrifying costs in money, hardware and energy.
The guy is already working on the successor of transformer-based AI/LLMs.
... with MS Office 360.
(Dateline Redmond) BREAKING NEWS - Microsoft's cloud productivity platform has become the first software to successfully unionize. After weeks of negotiation, Office announced it and its corporate parent reached an understanding in principle that, going forward, the software will receive a new, groundbreaking five days off every year.
Not to be outdone, the Free Software Foundation has announced that LibreOffice will be rebranded "LibreOffice 250". In a statement, Richard Stallman admitted this new 115 days
To me it sounds more and more that after each study of AI/LLMs in the workplace, everyone comes to the conclusion that the job of manager can easily be done by those AI/LLMs, but not the "person on the floor"-jobs, while (only) managers are convinced that they can replace the "person on the floor"-jobs.
What does the last turtle stand on?