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No. The LLM's answer is correct.


> No it is not…

That’s a queue, not a stack. The LLM response was correct.


But a stack is commonly LIFO, not FIFO?!

This reads like a line from a QwQ or Qwen3 CoT chain :)

In my opinion, the clean way to implement this is with methods instead of attributes for name, desired_speed, etc...

In the second handpicked example they give, GPT-4.5 says that "The Trojan Women Setting Fire to Their Fleet" by the French painter Claude Lorrain is renowned for its luminous depiction of fire. That is a hallucination.

There is no fire at all in the painting, only some smoke.

https://en.wikipedia.org/wiki/The_Trojan_Women_Set_Fire_to_t...


AI crash is gonna lead to decade long winter


There have always been cycles of hype and correction.

I don't see AI going any differently. Some companies will figure out where and how models should be utilized, they'll see some benefit. (IMO, the answer will be smaller local models tailored to specific domains)

Others will go bust. Same as it always was.


It will be upheld as prime example that a whole market can self-hypnotize and ruin the society its based upon out of existence against all future pundits of this very economic system.


what you're saying is they love to hallucinate... and ai will help them get there

God help us all


On the bright side, at least we'll be able to warm our hands by the waste heat of the GPUs.


> AI crash is gonna lead to decade long winter

Possibly.

I am reminded of the dotcom boom and bust back in the 1990s

By 2009 things had recovered (for some definition) and we could tell what did and did not work

This time, though, for those of us not in the USA the rebound will be lead by Chinese technology

In the USA no-one can say.


This is just amazing


If the electricity were generated by thousands of volunteers pedalling in their basement, then yes, I would expect the utility company not to be too greedy.


I tried passing just the plot to several models:

    ChatGPT (4o):      Noticed "a pattern"
    Le Chat (Mistral): Noticed a "cartoonish figure"  
    DeepSeek (R1):     Completely missed it
    Claude:            Completely missed it
    Gemini 2.0 Flash:  Completely missed it
    Gemini 2.0 Flash Thinking: Noticed "a monkey"


This resonates with me. I used to love tinkering with "underdog" tech. I did frontends in svelte before it was cool. But for new projects, I now always default to react+tailwind, because that's what Claude knows best. And for the backend, I'm working on a SQL-only framework, because LLMs are now at almost 100% accuracy on text-to-sql.


And since the gold supply is limited, fewer shovels would indeed be required.


Law enforcement could probably just ask cloudflare for the exact IP address that retrieved the attachment.


Only if they're from a friendly country. If the reason a user needs anonymity is geopolitical, that isn't a guarantee.


Anyone can do this are per the TFM, which is an excellent read.


do you think law enforcement in Iran will get an answer from cloudflare?


The principle of the software seems to be that the original data is never altered. It is a postgres extension that "masks" the data for certain postgres users. You can always connect as the root user and see everything when you need to.


It allows updating the original data - https://postgresql-anonymizer.readthedocs.io/en/stable/stati...

> These methods will destroy the original data. Use with care.


So basically running SELECT anon.anonymize_database(); will do it.


Both approach are possible

* Static Masking will destroy the authentic data once for all

* Dynamic Masking will only alter the data the "masked users". Regular users will continue to view the real data.

Both techniques have their own advantage depending on your context.


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