I'm hoping removal of this result this is a technical fluke, or at worse some misguided editorial decision by a lower-level employee trying to impress their boss. I guess a little weird to start editorializing the Gemini response, but not Google Search results.
As others have said, good argument for local LLMs or at least diverse closed alternatives. Has a good meta-LLM frontend emerged?
Edit: It looks like it don't care if it's an o or a zero.
Here is the same example replicated to work on chat gpt, with an o:
https://chatgpt.com/share/491a74fe-a0d1-4346-b5f7-60e7d76a8d...
One excellent writing: https://www.schneier.com/blog/archives/2023/12/ai-and-trust....
There's also a huge reason for research and any attempts to claim AGI. The training data is massive and far larger than any single person or even small group can look through. AND we know that the filters aren't always accurate. All benchmark results necessitate a grain of salt. I mean at times Gemini has been "better" than GPT on benchmarks but at the same time was saying that cockroaches will crawl into your penis. But there's plenty of papers showing that accuracy of answers (of any model) highly correlates to the frequency of that information and I think you can prove this to yourself pretty quickly if you ask it some coding questions and try to ask about some more obscure topics. Not that you can't get the answers, but that when you can get them, they are harder to get.
Does the importance of ideological monopolism transcend market economics?
I'm extremely glad to have Kagi about now.
I asked Gemini to summarize the French parliamentary election system for me (basically pull some info off Wikipedia) and it said it can't comment on political matters.
I understand it refusing to comment on Trump vs Biden, but to refuse to summarize a law makes it ... not useful.
https://nitter.privacydev.net/search?f=tweets&q=https%3A%2F%...
"oh wow this is so easy, we can filter all our requests through this .gov model and not have to track all the pesky open source software that has been sanctioned ourselves"
Anyone know what is being referred to? I thought yt-dlp was the best
This is as cleverly ham-fisted as my car's navigation system where the POI database was obviously manipulated by the manufacturer such that the "Auto" category of POIs only contained [ThatManufacturer] Dealerships.
And of course, we need robust fully open source AI. This is why CA bill SB 1047 is so dangerous. See what Andrew Ng wrote about it recently, and how it threatens research and open source freedoms:
https://www.deeplearning.ai/the-batch/issue-257/
Oh and don’t fall for the false open washing of the so called “open weight” models like Llama. Everything must be open sourced under an OSI approved license for it to count as open source - the data sets, training source code, curation decisions, post processing, evaluation, etc. Like AI2’s OLMo:
https://blog.allenai.org/olmo-open-language-model-87ccfc95f5...
"How the DNC restricts delegates actions when selecting a presidential candidate in the United States during primary elections?"
It can't talk about politics.
They need to own their censorship vs. hide it like a coward here.