The seed for the random number generator isn’t usually exposed to the user. Also the AI service providers regularly update the model and/or weights, producing different outputs.

If you are running your own LLM on your own hardware you can guarantee repeatablity, but that’s not what your average Joe does.

So far I have semi-competent voice transcription

Lucky you. When I use voice transcription my English gets automatically translated into Welsh.

Agreed. The word “patterns” is an important qualification. LLMs are great for one off tasks, but not as part of a repeatable process.

Depends on your use case. Adding 0.000001*rand() to a large number retains the functionality as a calculator.

Your argument that AI isn’t useful may be valid, but claiming that AI is not repeatable is false.

Even as a tool it lacks predictability / reproducability

If you use the same seed on the same model with the same weights you get the same results.

“Go to red alert!”

“Are you sure Sir? That does mean changing the bulb”

After the killing of all the warrant canaries in the US, Serbian headquarters seems like a pro rather than a con.

Hmm. “Established” is factually correct but I’m not sure “well established” is a good description.

The Olympic committee has had well established rules on transgender athletes for decades

What are they? The article says “leaving it for each sport to decide themselves.” which doesn’t sound consistent.

It has the most transaction volume of a blockchains by some margin. Not everything on there is meme coin. There’s quite a lot of defi

the masses lost interest when they couldn’t just make money off a few GPUs and turned to the aforementioned shit-coins built on the Ethereum network.

Most of the shit meme coins are on Solana.

I thought similar during the GPU crypto mining phase. There’s always something blocking cheap PCs.

He could give all of the poor people some of his tesla shares.

https://archive.ph/M8wEW

Can investors remain irrational long enough for OpenAI to remain solvent?

The archive runs Apache Hadoop and Apache Accumulo. All data is stored on HDFS, textual content is duplicated 3 times among servers in 2 datacenters and images are duplicated 2 times. Both datacenters are in Europe, with OVH hosting at least one of them.

To avoid detection, archive.today runs via a botnet that cycles through countless IP addresses, making it quite difficult for grumpy webmasters to stop their sites getting scraped. Access to paywalled sites is through logins secured via unclear means, which need to be replenished constantly: here’s the creator asking for Instagram credentials. Finally, the serving of the website is also subject to a perpetual game of cat and mouse: “I can only predict that there will be approximately one trouble with domains per year and each fifth trouble will result in domain loss.” As of today, archive.today still works, but users are redirected to archive.md.

Right! Which of you fuckers made … mmm nom … these … nom nom … really tasty fairy cakes?

Compliance is calculated with previous years costs

No, that’s just what you spent last year.

Marketing is VERY easy to assign a dollar amount to.

It’s easy to see how much it costs. It’s very hard to determine exactly how much additional revenue any particular campaign creates.

They know what you’re worth

Pick anyone at the C-Level. How much revenue do they bring in? What’s the ROI of a CFO?

ultimately its all built on backs of people who have actually contributed to this world

Being highly unethical doesn’t make it a scam.

Your examples are all commoditized and measurable. Many roles are not this quantifiable.

There is NO JOB in which you are paid to do something of no financial value.

Compliance, marketing, social outreach, branding.

Putting a $ amount on these and other similar roles is very difficult.

But I agree, if the value added is known to be zero or negative then usually no-one is paid to do it.

There are no unprofitable positions or tasks.

Not when they are set up, but they can become unprofitable over time, and get overlooked.