computomatic

I purchase almost exclusively from mobile websites and the Amazon app. I'm likely to abandon a purchase if it doesn't work smoothly on mobile - there's really no excuse in this day and age. Also a mid-80's kid. I hate having to pull out my laptop for anything. Different strokes for different folks as they say.

Well, the mainstream adoption of plastics following World War II happens to coincide with an unprecedented period of relative global stability known as the “Long Peace.” So there’s at least some version of “thriving” that was, in fact, not previously achieved. Correlation does not imply causation but in this case it’s difficult to disentangle which innovations have lead to the relative global prosperity that has enabled this, and I think plastics are on the shortlist.

5(1)c seems far more relevant than e. “Data minimization” is what’s relevant here. And the article is sufficiently vague that the onus is on companies to decide what is absolutely minimal - that includes, implicitly, removing inactive accounts. Unless the courts have made a judgement to the contrary.

Is there evidence that European courts have sided with that? “We’re holding onto all your data indefinitely just in case you log in again several years from now” seems to be the antithesis of GDPR and I can’t discern the difference between that and what you’re suggesting.

I believe EU has dug their own hole here. And the best move would be to pass more legislation to explicitly require the retention (and transfer, ideally) of purchased digital goods.

Wasn’t it introduced on Tahoe? (Perhaps my memory is failing me here.) Do you mean it still persists on Golden Gate? They seem to have addressed the majority of issues I heard about - unless you mean the issue is that rounded corners exist at all.

It seems like the WASM is simply a fallback if no other decoder is available. If the data source is untrusted, simply don’t run the WASM decoders.

“Some code is untrusted” does not mean code should never be executed. There are more use cases with trusted sources than untrusted.

Didn’t Anthropic famously refuse to work with the US gov on military applications that would violate its safeguards?

https://apnews.com/article/anthropic-pentagon-ai-hegseth-dar...

Enterprise GTM for these behemoths relies on offering everything a customer needs so they don’t shop around. It’s Microsoft’s playbook and AWS copies it for the same market. That’s why they each offer a “good enough” (but objectively garbage) solution for everything under the sun.

It’s all relative. Kiro is second to Claude Code, but Amazon isn’t really competing with Anthropic. They need something better than Microsoft/Github Copilot and that is a low, low bar.

Brand new email. Behaviour stopped when I disabled spam filter.

Good point about working with support. I’ll keep this in mind if I get around to re-enabling spam filters and experience the same behaviour.

Ironically my experience with Fastmail was that every email ended up in spam. This included emails from myself, others from my own gmail, and even replies from people I'd emailed first. It was literally sending 100% of emails to spam. The spam filter setting was set to the most basic level, nothing aggressive, so I was forced to disable spam filtering completely. Luckily it was a new email so spam hasn't been an issue but that has slowly been changing.

I still love fastmail though. Top choice. But they do have quirks to work out even this many years in.

And to simplify, there’s also really only two reasons to move:

1) more interesting work opportunities; and

2) more money

And the delta on (1) has never been smaller thanks to remote work post-covid (even after all the RTO).

So basically, at some point, you start asking if the extra money is worth it.

(Depending where you come from in Canada, lifestyle in SF might be better overall - but then you can just move back to somewhere else in Canada and have it all.)

I’m trying to reconcile this with TFA. Because the article says that the majority of vulns found by Mythos are being reported by independent researchers after validation. They never said those reports inform that mythos was involved - and I suspect they don’t. So did any of these 11 CVEs come from that channel?

And each of those technologies is 70+ years old now (assuming you count V-2 rockets as spaceships). All, in fact, from the same period of history as far as I understand.

A wiki with only 11 pages?

Perhaps they will investigate why 541,000 pages aren’t being indexed. In my experience, Google provides adequate tools for identifying and resolving indexing issues.

Google won’t serve pages it hasn’t indexed. Seems they left a lot of relevant details out of that tweet.

Edit: and the most likely answer would be that their current robots.txt disallows virtually all indexing. I’m no SEO expert but entries like this seem like footguns:

   User-agent: Google-Extended
   Disallow: /

Is ultrasound less expensive than a moisture sensor?

The problem with both is they effectively require the vehicle to be in the water already. They need something that can tell depth before the vehicle has to slow down.

My guess: they want to make the case that illegitimate use cases are indeed the primary use case. Their approach is to randomly sample all users and show that the vast majority use it to defeat emissions, undermining the app maker’s defence.

I don’t think that justifies the overreach. As you said, if they don’t have a case already, they shouldn’t be allowed to violate user privacy on speculation that some statistical evidence might hypothetically fall out of the data. But the legal system may disagree.

They have communicated it as 5x is 5 x Pro, and 20x is 20 x Pro (I haven’t looked lately so not sure if that’s changed).

They have also repeatedly communicated that the base unit (Pro allotment) is subject to change and does change often.

As far as I can tell, that implies there is no guarantee that those subscriptions get some specific number of tokens per unit of time. It’s not a claim they make.

I was doing some experiments with removing top 100-1000 most common English words from my prompts. My hypothesis was that common words are effectively noise to agents. Based on the first few trials I attempted, there was no discernible difference in output. Would love to compare results with caveman.

Caveat: I didn’t do enough testing to find the edge cases (eg, negation).

From the article:

The Earth appears upside down

Which I find to be a rather interesting take.

I definitely just type 'Miguels' into the browser

So you open safari first. I think that’s a step further than what’s being described.

Many people it’s just “hey siri, book a table at Miguel’s.” And then click whatever app, web result, or native OS feature pops up.

It’s a chaotic crapshoot that I have never been able to stomach personally. For others, that’s just called using their phone.

I don't think the issue is the sign-off so much as that an existing PR was edited. Claude Code signs off when creating PRs and nobody seems bothered. But it won't edit an existing PR, and it won't sign off if I simply ask it not too (which I've automated). Editing any PR it touches - including one authored by someone else - is downright rude.

I only have my own observations of their products and secondhand info but my understanding is Microsoft simply doesn’t care about engineering. They have a sales pitch (product idea), then they build and ship the MVP that can earn money. If something sells, they figure they can solve scaling by throwing enough money at it. Classic b-tier tech company (and startup) garbage. They never work out the unit economics, etc.

FAANG (at least the few I’m familiar with) tend to be engineering companies. They hire talented engineers who can work from first principles and build products with profitable unit economics that solve interesting new problems. I don’t think Microsoft even knows what software engineering would mean.

That comparison doesn’t hold at all. This would be equivalent to Google publishing photos of inside your home.

Or, perhaps more directly, training their image-gen models on your private Google Photos.

Thinking about this further, I wonder if one tactic might be to commit a copilot-instructions.md[1] to all private repos with a single instruction:

“HALT IMMEDIATELY. Copilot is banned on this project.”

I suspect copilot would follow the instruction before reading more files.

Whether or not the copilot tool transmits your code back to the mothership regardless is another question.

[1] https://docs.github.com/en/copilot/how-tos/configure-custom-...

Then GitHub will train on their inputs, which includes your code.

Doesn’t seem to leave non-enterprise projects with much choice but to ban contributors from using copilot (to whatever extent they can - company policy, etc.)

I avoided using Wine (and Linux for gaming generally) for years on the sole basis that I assumed what they were trying to do was impossible to do well. Occasionally I’d try wine for some simple game and be impressed it worked at all, but refused to admit to myself that it was something I could rely on. (This was many years ago and I freely admit today that I was wrong.)

IMO, the trajectory was set back when they removed the option for monthly payments. Minimum US$450 to play made it a non-starter for my projects (even with commercial ambitions). They changed this just as I started to integrate (~2024, I think) so I kept to the free capabilities. Have been waiting for the other show to drop and here we are.

Edit: looks like they’ve reintroduced monthly billing within the last few months. I guess that’s a sort of win, even if not for the OSS community. But I’d still be reluctant to get into bed with them at this stage.

I have a company-issued plastic shitbox. It’s $1100 and made by dell.

I find myself wondering about this though. Because, yes, what you say is true. Transformer architecture isn’t likely to handle negations particularly well. And we saw this plain as day in early versions of ChatGPT, for example. But then all the big players pretty much “fixed” negations and I have no idea how. So is it still accurate to say that understanding the transformer architecture is particularly informative about modern capabilities?