underyx

From what I can tell the effective value of the "Cache Exchange Fund (After fees and expenses)" portfolio will be $660,282 once liquidating to actually use the money? Is the point that this allows waiting for a possible lower tax rate in the future? Or is the point that if the holder was really strapped for cash in this exact moment, they would have to pay less taxes now?

Also this PDF contains a detail I haven't seen reported elsewhere:

> Furthermore, on Monday, April 7, 2025, while my client and my team were preparing this disclosure, someone physically taped a threatening note to Mr. Berulis’ home door with photographs – taken via a drone – of him walking in his neighborhood. The threatening note made clear reference to this very disclosure he was preparing for you

Even the nutritional labels printed on packaging are only around 90% accurate. It’s all downhill from there.

But you end up hundreds of miles away from home, who could possibly argue that you moved halfway across the country without intent?

What’s fraudulent about traveling without intending to travel?

This is such a detailed article but it's giving me weird vibes.

For instance there are all these drops to near-zero in the histograms at .28, .46, .56 for no clear reason, and the article doesn't even consider that noteworthy.

The "Men Like ratio (y) vs ratio (x)" has an inexplicable wall around .33 which I could only explain with some sort of product limitation maybe? But I really wish it was explained what artifacts the product introduces.

He works on my AI team now! And he’s got some badass research projects with LLMs that’s we use internally but haven’t published yet.

Decreased poison intake is not sad, actually.

Are there any places in SF with this rule?

Gergely Orosz polled about editors people use and got more responses on Bluesky vs. X even with one tenth of the follower count

https://bsky.app/profile/gergely.pragmaticengineer.com/post/...

I also got it around 40 minutes later!

My phone is on English (US) and I live in San Francisco.

I updated my macOS and iOS device as soon as I could because I was curious to finally see how these features will work.

Turns out it's not even available today! The Apple Intelligence settings just showed a "Join waitlist" button, I clicked it and it says "You'll be notified when Apple Intelligence is available for [you]".

Interestingly Crokinole goes all the way up to rank 5 in this adjusted list.

This bug was added for those who open BBC Weather in a rush to hide the actual page they were looking at before. The hurricane news make it look more plausible that you were looking at something interesting on the weather page.

I had the exact opposite experience with support, possibly the best one yet with any company.

I opened the live chat on the battery life support page and the chatbot asked (paraphrased) "Is your battery bad? Put in your email address". I put my email in and the next automated message was "Seems like your battery is underperforming, where should we send a replacement ring?"

I got my replacement a few days later.

Sure, but why does the title claim 300μs typo correction?

Title:

> 300μs typo correction for 1.3M words

Article:

> 300μs for correctly spelled queries and ~5ms/word for misspellings

Aren't these contradictory?

There's a blog post from 6-8 years ago I can no longer find anywhere, where someone made node.js create similar ambient sounds and compared it to listening to hard drives doing mechanical work to understand what the computer was doing. Apparently it was actually useful to audibly hear when, for example, a request failed due to an authentication problem which had its distinct sound emerging from the pattern of code execution on that branch.

Does anyone have a link to what I'm talking about?

Gotcha, thanks for the answer! We're a pretty heavy user of OpenAI (my company's called Semgrep) and I'd love to know if you ever run private betas or work with development partners for features like project permissioning. If so, feel free to email me at bence@semgrep.com — otherwise, appreciate your work on improving this!

This:

I mean OpenAI hosted fine-tunes (same as referenced in OP.)

I have a staging deployment and a production deployment. Ideally anything that I roll out to production, I can try on staging first — including switching from gpt-4o to a fine-tuned gpt-4o. I don't want the production API key to be accessible by my staging app, so I have two separate projects within the OpenAI dashboard. One is called my-app-prod, and the other is my-app-staging.

To illustrate the problem further, I also have infrastructure to eval models before changing what production is running. The eval infrastructure also has its own OpenAI project, so that I can set separate billing limits on running evals. Any fine-tuned model needs to be benchmarked first, but again, I'm not sure how to make the same fine-tune available to both the eval project, and the production app project.

How do y'all deploy fine-tuned models? I have separate projects for staging and prod, but it doesn't seem like a fine-tune can be shared across projects.

Am I wrong to split projects by env? Am I expected to run fine-tunes separately per env (surely not)? Am I missing an option to share fine-tunes across projects?

The very first sentence of the article says

> sharp drop […] as the COVID-era crime wave recedes.

Their policy from an email sent out Oct 2023:

> Many of our riders choose Waymo for the clean and consistent vehicle we offer. To ensure every rider gets this experience, we’ll be applying a vehicle cleaning fee for riders who leave a mess behind in the vehicle, such as vomit, excessive trash, and smoking odors.

> For those that self-report their mess during their ride (not including smoking), the fee will be $50. For issues that go unreported, we’ll charge riders $100 for the first violation and increase the fee for subsequent violations. Repeat trash and smoking related violations may also impact your account standing.

I think in the US kids use buses (school buses) at a higher rate than adults. The bus in the image is also colored yellow, just like school buses. Perhaps it has more to do with kids just having more recent experiences solving the same problem in real life?

This does not mention Mistral at all. Are all replies to me in this thread from LLM agents?

Oh, well that didn’t answer my original question at all then.

Any source for the 10% number?

Any source for the valuation number? Article does not mention.