It’s hard to tell exactly how much of this is true and sourced vs hallucinated, since it all looks the same. How confident are you that this is largely accurate?
I’m not sure I buy the methodology of “Monitoring 39 public signals”. Claude just loves to make up stats. I clicked the Methodology tab but lost interest quite quickly after realising it was typical overwritten Claude bs.
Less is more. This is a rather overwhelming presentation for something purportedly simple. What exactly am I supposed to care about here, without sifting through screeds of text?
I would have thought that the list of entities with access to Mythos would be hard to get a hold of, and really the only source worth any weight is Anthropic’s own statements.
You actually believe that transporting _water_ from the moon to earth could ever be profitable, no, lucrative? Can you lay out the economics? Just so I understand.
> The goal of the current maintenance is to fix a lot of long-standing issues with the site. The underlying infrastructure was getting very fragile as technical debt accumulated over time. A team is working very hard right now to make sure that once the site is back up, it's on much better footing and will be solid and reliable for the long term. Despite the unfortunate amount of time this is taking, it will be a major benefit to the site in the long run.
If I were a developer there I would be feeling really not very good. Just minutes of downtime on the systems I’ve worked on gets my heart rate going.
It also feels like there’s a lot being left unsaid in this statement. Normally you would work on these things in parallel to production… so something is seriously wrong.
The scenarios I have taken extended downtime for. When an OLTP's DB needed a serious overhaul for some reason and it was cheaper for rollout to plan operational downtime than risk loosing data or inconsistent transactions. Generational platform migration to complete system rewrites (something I am generally against, but that is its own soapbox). Migrating from on-prem to cloud infra, which required design changes. In all cases data integrity/consistency is the critical aspect. Migrating from one db technology to another (MySQL -> PostgreSQL).
In all those cases there is serious planning done before the migration, checklists, trial runs/validations, and validation procedures day off. If something isn't working, the leadership group evaluates the the issue and determines rollback vs go forward. Rollback needs to also be planned for, and your planned downtime window should be considered.
I agree with you, this wording implies they are making changes after this change. This could've been bad planning, a bad call day off, etc.
In one scenario, we _had_ to go forward while resolving several blockers on the fly. We had planned ahead of time developer rotation shifts. Pulling people off the line after 8-12hrs. At some point, you aren't thinking clearly understress. Don't know how big the team is over there is, but I hope they are pacing themselves, during what I am sure is a horrible moment of crisis to them.
My advice to them is, consider a roll back if needed/possible. Split responsibility between who is managing the process and dealing with specific problems. Focus on MVP. Don't try to _fix_ and replace at the same time, if something was broken before business wise, log it in your bug tracker and deal with it later. Pull people away if needed to get rest. Get upper management away from people doing the work, have them only talking to the group handling the process management.
Edit: I am also making a good faith assumption that this is planned and not an emergency response, either way, it doesn't change my general advice.
Conversely, if this is indeed true motivation and management has accepted it, kudos to them. It sounds like the engineers said that the situation is untenable and this is the cover we need to fix it, and they got what they asked for.
I don't know, it just doesn't feel very scheduled to me.
> I'm about to loose thousands of dollars by the end of Monday 20th because of the automatic shipping deadline on Tindie and it currently being down. I've tried contacting support multiple times but they are not helping. Please respond before my business fails!
You cannot build a physical store in parallel to the current one and swap them in place once done. Here the issue is not that it's down for several days, it's that there is no reason given for something so unusual
It had never occurred to me that somebody needed to invent polyhedral dice. There must be so many inventions in the world that I’m completely unaware that there was a point in time before which something didn’t exist and after that it did, thanks to somebody.
There are 13 more solids with equal faces and vertex (but not equal edges) https://en.wikipedia.org/wiki/Catalan_solid but none of them has 100 faces (It looks like a nice project for 3D printing.)
You can cut the corners, but now the faces are different and ensuring all the faces have the same probability is a nightmare. Some info in https://en.wikipedia.org/wiki/Truncation_(geometry)#Uniform_... (This include the soccer ball.) (I have no idea if this include the D100.)
The Zocchi d100 isn't face-symmetric and thus isn't a fair die. It's as close as he could get. It's really effectively a golf ball with 100 dimples, but they aren't and can't be arranged perfectly symmetrically.
Any even number dX can be made as a fair die as a bipyramid or trapezohedron. https://en.wikipedia.org/wiki/Trapezohedron These would be the only fair face-symmetric d100s. The standard d10 is this, and you sometimes see a d14 or d18 or something like that constructed this way. It becomes impractical with very thin faces past 20 or so. An odd-numbered fair die is also possible by using one twice as big and duplicating the numbers (like 1-5 twice on a d10.)
Martin Gardner wrote an article on platonic solids in Scientific American, December 1958, and mentioned this in passing: "All five Platonic solids have been used as dice. Next to the cube the octahedron seems to have been the most popular". I have no idea what games using 8-sided dice were somewhat popular (or existed at all) in 1958 or earlier? I wondered about that since I first read that article some decade ago.
I also read a book about games from ca 1880 and it described 12-sided dice (the usual one, numbered 1-12) as if that was a thing some people used for playing games, but none of the games described in that book used them and I also have no idea about other old games using 12-sided dice.
I've seen some octahedrons but they pale in comparison to the six siders - I suspect partially because it's hard to see an octahedron and assume it's fair. It looks like a parallelogram.
Besides gambling games most dice in antiquity were used in rituals or soothsaying.
Slightly related: In a stone shop nearby my home they sell a nice set of Platonic Solids made of semitransparent stones, but the octahedron is an irregular one :((( It's very similar to the ser in this photo https://www.mercadolibre.com.ar/solidos-platonicos-geometria... It's a nice present for a friend that is a mathematician too, but there is high chance that they will notice.
A better term would be "creator", because actually creating a 100-sided die that that rolls nicely and each face being equally likely is a lot more difficult than imagining one.
Wow, they look really quite dangerous. I wouldn’t want to pass out in one. Yeah you can pass out in a sauna too, but it feels easier to lurch for the door than to fight with a sleeping bag.
There's a timer shutoff. I know I can sit in mine for the full hour at the highest setting, so it's not anything my body can't handle. You can set it for less time at a lower heat setting, too.
Wow, "magic e" just transported me back to primary school. And I had a little heart flutter fearing that I wouldn't be able to remember/explain it today.
I see things like 2 sentence menu summaries in Uber Eats that are completely off in tone.
A quick sample from my app right now:
“Authentic Caribbean Flavours. Jerk Chicken, Curry Goat, and more. A vibrant culinary journey awaits.” - local Caribbean place
“Customisable burgers with 250,000+ toppings. Hand-cut fries and rich milkshakes await.” - Five Guys
“Authentic Indian cuisine bursting with rich flavours. Perfect for late-night cravings” - local Indian
Everything is Authentic, or Rich, or whatever.
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They’re investing in the wrong bits of AI. I’m sure they’re AB testing these soulless often inaccurate blurbs but I just cannot see how investing money into them actually sells more product.
On the other hand, if they had a coherent product vision, and trusted their engineers to use AI how they see fit, then I’m sure they would be more successful, and it would be cheaper.
Aside from the hilarious "250,000+ toppings" error, these summaries seem... fine? I would be unsurprised to learn that a human came up with them, even. Seems like pretty common/standard marketing copy.
Maybe each one is fine in isolation - what doesn’t come across from the sample is that every single one is practically the same. If you have Uber Eats, open up the app and look through the summaries for a bunch of restaurants and you’ll see what I mean.
And besides that, this just feels like something nobody asked for that probably doesn’t sell more food compared to, for example, more pictures.
Don't worry, they'll also use AI to add more pictures, which will all look strangely similar while bearing at best passing resemblance to anything you might actually receive after placing an order.
It seems to have been at least slightly improved, but youtube video summaries suffered from this to an almost comical degree not long ago. The AI voice is already pretty recognizable and stilted, then you constrain it to avoid saying anything negative or spoilery about the video, and (presumably) don't let it remember past output. No surprise its extremely repetitive. For humans you're at least getting different people's voices, on different days, who remember that they just wrote about how the last one was a "unique look highlighting the importance of design".
So, I've just read a few dozen student reports, which I'm 95% sure were mostly generated by AI.
The problem isn't one page of one report. It's not even one whole report. But, the more you read, the more irritating it gets. It's hard not to notice the AIisms, and once you know them, it gets really obvious. And I know some people will say 'Oh, I say X', for any particular X, but the thing that people don't do is use some same construction at least twice a page, every page, forever.
Now, I can imagine there ends up being a bit of a battle, where AIs try to learn to write 'less AI', but for now, it's very obvious if you read enough AI generated stuff.
>It's hard not to notice the AIisms, and once you know them, it gets really obvious.
Maybe I haven't read enough uber eats descriptions to notice, but at least from the sampling above it doesn't seem too obviously AI. There might be a lot of cliche wording, but it's not even clear whether it's worse than human reviews/descriptions.
I think that's exactly the point. It's the distillation of the most common marketing copy possible, and when that tone is applied everywhere it becomes very same-y, like those cookie cutter neighborhoods where every house is the exact same. Which to some extent defeats the purpose of marketing as it doesn't stand out at all, just sanitized sameness. It's boring and a bit creepy.
But why does Uber need to spend 3.4B on injecting a useless blob of text between me and an overpriced burger delivered by a struggling illegal immigrant in a smoke-belching jalopy?
I know the counter-argument. "This will increase sales". You know what else would increase sales? Spending the 3.4B to replace the above with a uniformed delivery service similar to UPS. That job could pay benefits.
My last job did something similar. An AI blurb feature was researched and built and costs a good chunk of resources to run for no reason other than being able to tell investors AI was being used.
I proposed a solution using simple heuristics that would have accomplished the same output, would have been cheaper to build and cost next to nothing to run, but being economical, efficient and boring doesn't make exciting PowerPoint slides.
In most large tech companies the senior leaders want to run some vanity projects so having a research arm makes that possible. They can screw around without impacting product teams.
For the same reason the shoe industry spends billions sponsoring athletes and sports teams to hawk their gear. It's to build layer upon layer of abstractions to move the conversation away from how the sausage is made, and towards something that could justify their own bloated salaries, like promoting "sporting excellence" or "tech innovation".
The linked article is not about usage of AI in the product. It's about blowing the budget on AI coding tools, which is a much more interesting topic to discuss given how heavily they are being pushed by some companies.
If AI coding tools were having the benefits promised by AI vendors then Uber would be dropping staff, not the tools themselves.
Yeah, what's going on in these cos is that a PM is tasked to find ways of integrating AI into product and well if someone's payroll depends on it they _will_ find ways to integrate AI into product. "Hey I couldn't find ways to integrate AI into product" is not an acceptable response.
And it's not just Uber. My weather app has an AI weather summary these days
Product reviews from real people are useful because they are allowed to say negative things.
Once you bypass the real reviews for a summary, all those useful negative signals get glossed over because the host platform doesn’t want to piss off the restaurants by propagating those negative comments.
> if they had a coherent product vision, and trusted their engineers to use AI how they see fit, then I’m sure they would be more successful
Out of curiosity, what do you think might be a successful application for AI in Uber's business? It seems like this is the sort of thing AI applications end up being. Does it actually get better than this?
They’re investing on the wrong bits, not wrong bits of AI. No matter how many features they come up with after spending billions of dollars, customers are not any more likely to order food than they already are. The money is better spent reducing their atrocious fees and making sure the restaurant isn’t marking up every single menu item by 25%.
You misunderstand. AI cannot fail. It can only _be_ failed. In this case, it was failed by the restaurant industry's lack of actual diversity. _They_ need to do better, not AI.
I stopped ordering after I realized most places were using ai photos and descriptions. It’s worse than the stock images they’d use in the old days. It’s actively lying about what an item is.
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