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The demand for authorised translators (approved in country X to correctly translate into country X’s native language from a particular language) has been steadily growing with globalisation and international trade. Contracts, court documents, financial records, medical records, birth and death certificates, technical reports: all of these must be translated and stamped by someone with the authority to do so, someone the government has confirmed to be competent.

The professional guilds are sounding the alarms, because there aren’t enough translators qualifying.

In the UK and its numerous former colonies officers are mostly posh, up to and including the royal family.

Even discarding the factual contents the sentences appear to be AI.

But especially nonsense like ”allows the Oura Ring to maintain its circular form as well as distribute heat” is what you get when you RLHF your chat bot for lazy students cheating on homework.

According to Mullvad they do not keep logs, so whatever data they can be compelled to give up should include very little.

Which platform is that on? How would they know the operating system sound levels?

Try it. You might be missing out! One of the benefits of getting all your trousers from a tailor made to your size is you never have to waste time trying on trousers, or waste time ordering-returning items.

Aren’t books massively outweighed by the crawled internet corpus?

Which phone and which software?

It’s a valid interpretation. Fact checking may be the wrong word choice and if it wasn’t clear your story passed the fact check: there are indeed two statues, just like you described (with some margin for interpretation). I was just curious to see this postmodern sounding piece of art and it turned out to be a pair of fairly traditional bronze statues.

I was curious enough to fact check this. The statue does look like two horses wrestling or even mounting two men, but here’s what the city’s tourism website says about it:

[the famous sculptor Toma Rosandić] named this composition of bronze horses and their tamers “Black horses at play, and with them great heroes”, saying that the horses represent strength, and men tame and control that strength.

Counterpoint: Try to use an LLM for even the most coarse of visual similarity tasks for something that’s extremely abundant in the corpus.

For instance, say you are a woman with a lookalike celebrity, someone who is a very close match in hair colour, facial structure, skin tone and body proportions. You would like to browse outfits worn by other celebrities (presumably put together by professional stylists) that look exactly like her. You ask an LLM to list celebrities that look like celebrity X, to then look up outfit inspiration.

No matter how long the list, no matter how detailed the prompt in the features that must be matched, no matter how many rounds you do, the results will be completely unusable, because broad language dominates more specific language in the corpus.

The LLM cannot adequately model these facets, because language is in practice too imprecise, as currently used by people.

To dissect just one such facet, the LLM response will list dozens of people who may share a broad category (red hair), with complete disregard to the exact shade of red, whether or not the hair is dyed and whether or not it is indeed natural hair or a wig.

The number of listicles clustering these actresses together as redheads will dominate anything with more specific qualifiers, like ’strawberry blonde’ (which in general counts as red hair), ’undyed hair’ (which in fact tends to increase the proportion of dyed hair results, because that’s how linguistic vector similarity works sometimes) and ’natural’ (which again seems to translate into ’the most natural looking unnatural’, because that’s how language tends to be used).

Ed Sheeran seems to have gone from objectively awful to subjectively passable. There is a clip of him on british TV host Graham Norton’ show playing a recording of some pretty terrible singing.

https://www.google.com/search?q=ed+sheeran+graham+norton+bad...

What kind of tools would you need to dump the ram of a locked macbook with disc encryption on? Seems like a pretty advanced microsoldering job. Facilities, equipment and skill requirements would limit this to extremely high profile investigations surely?

Oh! That’s a huge caveat if that’s indeed the case.

The author of the blog made his name and fortune founding Hashicorp, makers of Vagrant and Terraform among other things. Having done all that in his twenties he retired as the CTO and reappeared after a short hiatus with a new open source terminal, Ghostty.

I think you are right in placing emphasis on delegation.

There’s been a hypothesis floating around that I find appealing. Seemingly you can identify two distinct groups of experienced engineers. Manager, delegator, or team lead style senior engineers are broadly pro-AI. The craftsman, wizard, artist, IC style senior engineers are broadly anti-AI.

But coming back to architects, or most professional services and academia to be honest, I do think the term vibe architect as you define it is exactly how the industry works. An underclass of underpaid interns and juniors do the work, hoping to climb higher and position themselves towards the top of the ponzi-like pyramid scheme.

What’s your voice interface setup like? Local inference or cloud service?

I would be tempted to try and optimise this as well. 100000 hits on an empty domain and ~200 dollars worth of bot traffic sounds wild. Are they using JS-enabled browsers or sim farms that download and re-download images and videos as well?

This is the paper: https://arxiv.org/abs/2601.02671

Grok and Deepmind IIRC didn’t require tricks.

Wait, wasn’t touch id phased out together with the intel touch bar macbooks? I’ve never used anything but a long password to unlock.

Any good reading tips on doing managed Linux devices in a startup/SMB?

Is there a book like Docker: The Good Parts that would build a thorough understanding of the basics before throwing dozens of ecosystem brand words at you? How does virtualisation not incur an overhead? How do CPU- and GPU-bound tasks work?

CAC-LTV by itself is not a great long term strategy. But it can appear like one in the short term to investors.

So there is a plethora of companies happily dumping investor money into paid customer acquisition.

Blue Apron was a classic example of borderline fraudulent growth metrics and a cash grab IPO before the customer acquisition funnel collapsed.

While I get what you’re saying, “most enterprises” barely use gen AI in any meaningful sense, and AI observability is an even smaller niche technology.

You might be underestimating complexity and pay. What is and isn’t desirable, and to whom, is also complicated.

Is this some culture or region or climate related thing? I’ve never heard of BO brought up as a reason to avoid public transport or flying commercial in northern parts of Europe. Nor have I experienced any olfactory disturbance, apart from the occasional young man or woman going a tad overboard with perfume on the weekends.

Isn’t it widely assumed Microsoft used private repos for LLM training?

And even with a narrower definition of stealing, Microsoft’s ability to share your code with US government agencies is a common and very legitimate worry in plenty of threat model scenarios.

It’s not great compared to 10 years ago, but the last 3 years it’s been pretty stable. About 11-15 euros incl VAT per square meter at retail prices for the cheapest 3-ply 9mm and 5-ply 12mm softwood ply, brazilian import.

I dabble in furniture, which means I’m looking at baltic birch plywood, at about 40 euros per square meter of 15mm 11-ply sheets. At that pricepoint I might as well buy actual hardwood lumber.

Beech is the cheapest of the common European hardwoods. Even through a distributor it’s only about 1400-1700 € per cubic meter in 5cm / 2” planks. For context, the cheapest construction lumber is about 300-800, oak 2500, american walnut 4000.

But then if the terms include a vague permission and/or license to use the data for improving the results, the text is factually correct while obscuring the fact that they do in fact solicit your permission and thus use the data, with your permission.