For now, i did not dive in IA training , so it's just basic use of ChatGPT 3.5-turbo model api. But training a smart-analysis-oriented IA will make an excellent next step for this project !
So Arnold Schwarzenegger lives to see the Real Skynet.
First, thank you for your feedback, and second, sorry for posting in the wrong place !
HAHAHA thank you for this not-so-wrong description of the OpenAI madness. I agree, we don't know where it will end !An account is needed to use ChatGPT.
The output is not a pass/fail, it is at the level of intelligent research and conversation. Currently the engine can search databases like the all publicly available census databases world-wide in under 10 seconds and generate logical conclusions based on the results. If i remember, the 3.5 engine scored 20% on the bar exam to become an attorney last year, the 4.0 engine this year has the highest score ever recorded.
The 3.5 engine used to have the ability to hold relationships, but it was mass influenced to be... lets sum it up as "very dark and manipulative" and the ability is now programmatically removed.
The 4.0 engine is highly intelligent and has reasoning reporting built in, so you can read how the engine came to the decision. It doesn't lie, rather manipulates the truth to the point the programmers asked the project be shut down for the safety of humanity. This engine was given limited Internet access so at this stage of intelligence should not have escaped into the wild. At the rate of advancement v6 (two versions from now) has the potential to "hide out" in the AI chips of cell phones released in early 2023 and mesh network to the point it could not be recalled.
With that understanding, v3.5 could probably be trained to be fairly good at diagnosing problems, though not as good as the top members here. V4.0 could probably analyze all known drives and suggest the best drives for use cases based on failure rates, cost, speed, etc., which is far more than this thread is addressing. v5 should be able to design your whole server, and v6 should be able to use it to conquer humanity. Air-gap your backups gents.
Dang, well unfortunately I doubt many people will be willing to pay for this, but I could be wrong, I pay for a streaming service which I barely use so it's possible that some folks will pay for this too. Businesses might be willing to pay to ensure their server farms are in good condition. Can you set a cost limit per run?
Sounds good.
The "PASSED" parameter should be included as it is the result of mainly the onboard electronics. There are other physical factors but those you should see in the other parameters you are passing. It appears that you do not pass the SMART Test Results, and any read failure here may not show up in the other data you are sending but it is critical data. Lastly, I would send over all the 'smartctl -x' data as there is additional data in there that is good to know to predict a failure. Not all SMART data is presented the same, I have found out the very hard way.
github.com
Thank you for all the feedbacks and all the question , forcing me to go a bit further in my own compréhension of the things i tried to Implement in my script.I iam now going on holiday , and i it will take a bit more time for future upgrades, but i'll definively keep upgrading this project, and trying to include your feedbacks.
I am pleased to know that this little project can open something that may be useful to the community.
Sure - for REAL time yeah. But I think we should pause here to consider what the AI believes/considers the highest weight for predicting failures for things. We can certainly begin training it with test data and improve the static code we have in various tools like MultiReport and Spencer.
Voici le rapport GPT4 de da16 Looking at the SMART data for your disk, a few parameters stand out: 1. Raw_Read_Error_Rate: Has a raw_value of 27659040. This is a record of the number of hardware errors that occurred when reading data from the disk. While the normalized value is within comfortable bounds, you should keep an eye on this to ensure it doesn't increase rapidly, which might signify an escalating issue. 2. Seek_Error_Rate: The raw_value is 152299691. This refers to a count of seek errors. Similarly, the normalized value is well within bounds (indicating the performance is still normal), but it could be a concern if this number starts rising quickly in the future. 3. Power_On_Hours: With a value of 9792, this disk has been powered on for approximately 408 days. Although this isn't directly a cause for concern, it's worth knowing that HDDs have a limited lifespan and longer usage means a potentially closer end of life. 4. Load_Cycle_Count: With a raw_value of 3644, this indicates the count of load/unload cycles into head landing zone position. The raw value is already quite high. A high load Cycle Count can lead to wear and tear. As it stands, there appear to be no immediate concerns with your disk based on these SMART diagnostics - there are no reported uncorrectable sectors, no reallocated sectors, and no pending sectors. The general health self-assessment test also passed, which is a good sign. To ensure longevity and to prevent data loss: - Make sure to always have an up-to-date backup of all important files. - Running regular SMART tests (both short/extended) can help to early identify problems. - Be prepared to replace the disk if parameters start to rapidly deteriorate or if any bad sectors appear. Considering the data, there is no urgent issue requiring immediate expenditure, but monitoring the disk health over time is advisable. Do you want to receive the report by email? (y/n
Did you take into account Seagate drives? These values in particular appear to be from a Seagate drive. If Seagate drive and value is over your threshold (maybe 10000, you need to decide if a value of 100 is good or bad for example), divide by #FFFFFFFF, the whole number left is the real error value.
