I’m fairly sure that the price information shown on a Google Search result page is advertising that comes from a different source than the results do.

As far as I know, you could write a plugin for SearXNG to query suppliers and format the output as required.

I think that Google Shopping might be queried in the same way, but I’ve never looked into it deeply.

You don’t need anything as elaborate as you appear to be contemplating.

Insert a large capacity microSD card into your mobile phone and load it up with media.

Share as required.

It’s right up there with such life changing experiences as a root canal …

Stupid Bot.

If you can’t identify it then don’t post.

Wow, you kiss your mother with that mouth?

So, another way to report this is;

Two thirds of people in Spain are happy with foreign tourists visiting their lovely country

You could use a cron job to grep through the file and reformat the output into a webpage, markdown, or plain-text file.

Is it just me who is sceptical about anything new from Intel at the moment?

Mind you, this is not the first time that this feeling has existed, there was a standing joke amongst IT professionals in the mid 1990s that the sticker “Intel Inside” was actually a warning label, referencing the Pentium FDIV bug.

And many of them are heading to BlueSky…

I’d set-up a static website on an AWS S3 bucket. Then you can use AWS Cloudfront to distribute access around the planet.

Cost is mostly negligible unless you are serving big files.

Gotta say, this in my view hysterical reporting around hung government is just nuts.

I grew up in a country where this happened all the time and the end result was negotiated agreement, discourse, learning and enrichment.

This notion that we must have majority rule that appears to have swept the globe is not the only way to make progress.

Also, the word you’re looking for is: “headless”, as in, “headless install”

The traditional way is to use a serial console from another device.

Back propagation happens during the creation of the model, not after it’s deployed.

A better headline:

“Visitor to Taiwan attempts to break biosecurity law and is hit with a fine”

The underlying issue with an LLM is that there is no “learning”. The model itself doesn’t dynamically change whilst it’s being used.

This article sets out a process that gives the ability to alter the model, by “dialling up” (or down) concepts. In other words, it’s changing the balance of the weight of concepts across the whole model.

Altering one concept is hardly “learning”, especially since it’s being done externally by researchers, but it’s a start.

A much larger problem is that the energy consumption is several orders of magnitude larger than that of our brain. I’m not convinced that we have enough energy to make a standalone “AI”.

What machine learning actually gave us is the ability to automatically improve a digital model of things, like weather prediction, something that took hours on a supercomputer to give you a week of forecast, now can be achieved on a laptop in minutes with a much longer range and accuracy. Machine learning made that possible.

An LLM is attempting the same thing with human language. It’s tantalising, but ultimately I think the idea applied to language to create “AI” is doomed.

Can’t wait to hear the next headlines:

“AP reports that their seized equipment was damaged beyond repair”

And

“IDF apologies for inadvertent destruction of broadcast equipment during seizure”

As opposed to the real apps that … steal your data?

I don’t know, but I doubt that the frequency response of a mobile phone microphone is either linear or consistent across sound level.

I don’t even think you could compare two sounds with different frequencies, but I don’t know.

I suspect that calibration of any such thing would require a whole lot of infrastructure, consider for example the angle of the phone in relation to sound and the impact of holding the phone in how it affects vibration and noise damping.

You might be able to use a calibrated sound level meter and pair it via Bluetooth with your phone, but I think that’s going to be as close as you might get.

In the past I’ve tried a wired USB microphone, but the OS isn’t real-time, so the jitter was horrendous. A pi would give you a more consistent result.

Note that there is no calibration of audio hardware, so the level of usefulness of any such software would be strictly limited.