fxtentacle

To me, the whole thing sounds like cheating in benchmarks.

Intel built a tool that will only activate for a specific benchmark - but not for real-world software which accomplishes similar things - and then the tool will replace generic bytecode with a (most likely) handcrafted and optimized variant for running this specific benchmark on this specific CPU. That means BOT will only boost the benchmark score, but not help at all with the end-user workflows that the benchmark is trying to emulate. Thereby, Intel's BOT makes the benchmark score misleading, which is why Geekbench is flagging them.

This is what I thought, too. Watch them dig a hole for themselves while you take a vacation. And then when they fail to debug the mess, charge them by the day for your expertise, because it’ll be necessary for untangling that mess.

Fully agree. The low-res makes this unnecessarily hard to navigate. Which is a downside if your core gameplay is to teach players to navigate in a challenging environment.

I guess this implies high quality WebRips for years to come, because blocking Intel Laptops isn’t feasible for any streaming service. And from what I heard, control over SGX would let you extract the WideWine etc. key store without!!! the OS knowing about it. So this is like a secret debug access starting at OS&TPM level.

Use AI! It'll make you a 10x engineer! (cost-wise) /s

I've recently had the displeasure of Opus 4.6 hallucinating an API. It would have been great if that API had existed, but it did not. Still, it then looped until I manually terminated it while trying to make tests pass. In my case, I used up about $12 of usage in 30 minutes. My guess would be mostly through the (pretty verbose) thinking tokens.

But it's not just Anthropic. I had the same issue with Gemini 3.1 Pro.

While I believe this article to be correct, Germany is an interesting counter-example:

Germany first introduced mandatory child car seat laws on April 1, 1993. [1]

That year, fertility was at 1.28 kids per woman. Since then, it has increased to 1.62.

[1] https://de.wikipedia.org/wiki/Kindersitz

https://www.macrotrends.net/global-metrics/countries/deu/ger...

"Wouldn't the real cause of the depressed birthrates be the requirement to own a car in order to have children?"

Yes. The one-time setup costs for "properly" raising kids are probably around $30k. All the kids stuff is extra expensive (in the west) and for the kids seats you need a large car (in the west) and there's social stigma against kids sharing a room (in the west), so you also need a larger apartment.

“the apex of internal combustion engines means they’re doing more than just propelling a vehicle around roads and highways. They’d also be air purifiers, removing CO2 as they go.”

which sounds amazing, but is followed by 0 facts or information on how that might work.

I think the instability is mostly due to the CEO running away at the same time as a forced Azure migration where the VP of engineering ran away. There’s only so much stability you can expect from a ship that’s missing 2 captains.

These satellites have 15cm per pixel of resolution, so the image can not only be used to find the ship, but probably you can also count the crew.

Or maybe the other shops were offering a higher CPC? I heard OpenAI is trying to introduce invisible advertising.

I can typically type faster than I can think.

That sounds like the start of a very lucrative career. Are you sure it was Gemini and not an AI competitor offering affiliate commission? ;)

Same here. While LLMs sometimes work surprisingly well, I also encounter edge cases where they fail surprisingly badly multiple times per day. My guess is that other people maybe just don't bother to check what the AI says which would cause them to not notify omission errors.

Like when I was trying to find a physical store again with ChatGPT Pro 5.4 and asked it to prepare a list of candidates, but the shop just wasn't in the list, despite GPT claiming it to be exhaustive. When I then found it manually and asked GPT for advice on how I could improve my prompting in the future, it went full "aggressively agreeable" on me with "Excellent question! Now I can see exactly why my searches missed XY - this is a perfect learning opportunity. Here's what went wrong and what was missing: ..." and then 4 sections with 4 subsections each.

It's great to see the AI reflect on how it failed. But it's also kind of painful if you know that it'll forget all of this the moment the text is sent to me and that it will never ever learn from this mistake and do better in the future.

You can rent access to nearly real-time custom satellite targeting for <$3k per image. That means while you're correct that not all countries can afford it, most can.

I was also a bit surprised to see a weapons advertisement.

I’m a happy user of both Kagi Search and Assistant. I would totally support a “even more than Pro” subscription for Assistant, but then it should also have its own proper API if I pay for it like a proper product.

That said, I wonder how things would work if you subscribe to the assistant but not to search? Because to me, the deep search integration is precisely what makes this specific AI assistant better than, for example, ChatGPT.

Headline seems unrelated to content.

Yesterday, I was praying to ChatGPT and asking for guidance on my car washing problem. Through its holy scripture, it suggested me to walk to the car wash to improve my fitness. When I arrived and found the absence of my car to be a true hindrance for washing, it occurred to me that I should have pondered the scripture more carefully to identify its true meaning.

I treat the LLM like a diety. Every sane person understands well enough that the Bible is not to be taken literally. And then when someone talks about using LLMs, I always rephrase that as prayer.

In theory „There's no (state) school giving out tablets that aren't pretty much single-use locked down devices.“

In practice, most schools lack anyone with enough technical literacy to lock down the device. So they just hand out unlocked cheap android tablets with all the stock spyware and advertisement pre-installed.

Actually, it is possible that some of them experienced the death of their brain before reproducing: https://www.sciencedirect.com/science/article/abs/pii/S00904...

And, FWIW, Jesus with an after-death erection was popular enough a motive to officially get banned by the church: https://en.wikipedia.org/wiki/Ostentatio_genitalium

https://en.wikipedia.org/wiki/Death_erection#cite_ref-Steinb...

I’m a happy CrossOver customer myself. But they don’t have enough resources to keep all major Windows apps working well. Which, to me, indicates that the business model of selling support only to those who are willing to pay, while letting everyone use the results for free, isn’t such a great business model.

The legacy PC makers are lucky that Ubuntu doesn’t work on this, or else they’d face even more competition. By now, everyone hates Windows. And I’d wager some people hate it enough to be willing to switch to whatever works and is halfway ad-free.

Fully agree. When I have to use Windows from time to time, I’m always surprised by how laggy the cursor feels even on hardware that can do 8K VR just fine.

It really is a pity that there’s no working business model around open source maintenance for software like wine. I’m the guy who fixed the wine bug that blocked new iTunes versions, because I like to keep my music in iTunes for easy iPhone sync. I also have Fusion 360 working flawlessly in wine, but the setup process required multiple sessions stepping manually with a debugger to avoid crashes and packaging that as scripts and/or just documenting all the little issues and their fixes and keeping that up to date with fusion updates would be serious work. So nobody is doing it.

„Fitting“ is still too nice of a word choice, because it implies that it’s easy to identify the best solution.

I suggest „randomly adjusting parameters while trying to make things better“ as that accurately reflects the „precision“ that goes into stuffing LLMs with more data.

Related to your answer, I would say the reason is that it works good enough for now and it can always be patched later. Back in the good old days that we remember, software was frozen on a gold master disc, which was then tested for weeks or months before its public release. The fact that bugs could not easily be fixed in the field meant they would incur support costs or lost revenue with people returning their purchased software box.

In my opinion that is the true reason why the old native software was developed to such a high standard. But then once online stores and shrink wrap agreements made it impossible to return buggy software, then the financial incentives shifted towards shipping a partially broken product.

Who cares about pleasing with good performance when you can instead keep customers hostage?

1993 was before the west entered the last stage of capitalism. It was a time when companies still competed on products rather than using monopolistic force to squeeze ever more revenue out of the same people by turning every life necessity into a subscription. Similarly, it was a time when you could mail-order a house and build it yourself. Rental prices were low because there was no regulatory capture on housing construction yet.

Where I disagree with you is video streaming. In my opinion, YouTube and the commercialisation of holiday memories (which later became Instagram influencers) were the beginning of widespread depression. Seemingly regular people sharing their exceptional life somehow forces everyone else to compare themselves to the dreams presented on YouTube and most people will come up short and then most people will feel insufficient. I believe that’s why early YouTube ads were so powerful. Your ad for exotic goods would play immediately after the viewer became painfully aware of how boring they are, when measured against the top 0.1% on a global scale.

If all the AI revenue projections were correct, then 1% of worldwide GDP would end up at AI companies. Or said differently: you buy a sandwich for $5 and somehow AI gets $0.05 out of that transaction.

I think TSMC laughed them out of the room when they announced the original numbers. So maybe there’s no reaction now because everyone already knew not to trust OpenAI’s promises.