While I don’t think this should ever pass, I think a huge issue is we’re too close to the election to be changing how voting works. People could vote in the primaries and then not have the documents to vote in the actual election. Something like this would need to be phased in over time, just think about how long Real IDs took to implement.
I always forget when looking at energy production, the US is at 40% renewable+nuclear (21% just renewable) which is actually around the same for China ~40% renewable+nuclear (35% just renewable).
If it’s like the sahed drone then it costs about $30k, has the range of a “medium-range” ballistic missile (which cost millions of dollars), but moves at ~115mph vs supersonic. They also have more limited payload.
So the general principle is that you can produce them quick enough that you can deploy enough to overwhelm your enemies defenses. They also use satellite and interial navigation so can be fairly accurate.
I thought TOTK was worse cause now you’re also managing the parts inventory. It was so frustrating to get to certain places and find out you didn’t have the necessary parts (like a glider) to do certain things.
I even ended up using duplication glitches to skip resource scavgening and I still felt like I ended up wasting half the game managing my inventory.
I agree with you, it’s a decent open world game but a pretty mediocre Zelda game. I had hoped TOTK might improve upon the direction they chose to take the series, but it kinda doubles down on all the weaker points of BOTW (uninspired “dungeons”, more one-time use resources, etc.).
I think my biggest gripe with TOTK and Echoes of Wisdom is that you can solve 90% of the “puzzles” with one or two techniques. There isn’t a lot of critical thinking needed when you can use things like the rocket to just skip most of the puzzle and similarly I think I solved a majority of the puzzles in Echoes of Time using the bed echo.
That’s a fair call out. My comment about systemic issues was to address the fact that it’s somewhat unfair to compare apples and oranges. So when I said the economy was doing well under Biden, I meant in regards to the current systems in place in the US.
That being said, the economy is generally measured in how productive the country is. If the economy is doing good, then generally we have lots of people producing lots of things. That doesn’t mean we’re producing the right things though, as that comes down more to policy and public sentiment/behavior.
Under Biden wages were growing faster than inflation, inflation was coming down, unemployment wasnt growing, stockmarket/business were doing well. Meaning things were doing okay and had the potential to do even better.
Also, a lot of the points you made aren’t directly tied to the economy and are systemic to the country. No matter how good the economy is doing, privatized Healthcare is going to cause issues.
Coming out of the pandemic the US had one of the best looking economies. If he had done nothing he could have taken all the credit. Instead he decided to shoot himself and the country in the foot.
Wasn’t there a report the other day implying that the sauds wanted the US to attack too?
https://www.washingtonpost.com/politics/2026/02/28/trump-iran-decision-saudi-arabia-israel/
It feels more likely that two regional powers see an opportunity to remove another regional power.
Yeah, we’re well past the initial attack. I’m not sure why anyone would think the ship would be safe to return to an Iranian port. It seems kinda silly to think the US would wait until the ship was rearmed before engaging.
Is there something I’m missing?
Your initial question was:
But y tho
Why would you use an ARM/Android device to emulate x86/>Linux instead of the opposite?
My responses were answering your initial question.
If you’re asking, why buy this specific $600 device, then I agree with you, it seems inferior to a steam deck by most metrics (compatability and performance being the biggest issues).
I’m pretty sure that’s part of being a designated reporter.
However, that’s not a uniquely parent-child policy and it’s really about the parents behavior. I’m not sure I would consider those the same thing.
Some legislation that is slightly similar is that college students need to sign waivers to allow their parents to access their grades. But that’s because in college students are adults and therefore parents don’t have inate rights to that information.
While my gut says this isnt a great decision, I can’t think of another scenario where teachers/school are restricted in sharing information like this. I know sometimes teachers are designated reporters (have to report), but not aware of anything being restricted.
Is there some legal precedent for what California wanted to do?
Okay, I should have said similar, but you seem to just not want to acknowledge that there is a space/demand for these kinds of products.
Show me a non arm $200 range product that can run games like mewgenics, deadcells, megabonk, etc. The closest I can think of is a Nintendo switch, but that has a more limited (and expensive) library and will start losing support as the more expensive switch 2 takes over.
Yeah, that’s fair. I haven’t jumped into the whole agentic side of things as I find LLMs consistently fail at lower level stuff.
Everyone says it’s great at prototyping or writing documents, etc, but I think that’s just cause people have low standards. When coding I find that it quickly messes things up or lacks good quality control (which you only notice if you’re familiar with the domain). For writing it’s fine, but the tone and language always feels off and certainly doesn’t sound like me.
Either way, I would suggest playing around with them to see how they fit into how you do things. I think we’re starting to see things finally slow down on new implementations, and they aren’t going away, so it may be a good time to see if all the fuss is worth it to you.
I agree this device may not be worth it, but as I said other arm devices with the same capability and different form factors cost anywhere from $200-800 and have their own pros and cons.
Did he send her because he was afraid he’d be attacked if he went?
The underlying issues, in my opinion, regarding LLMs is their indeterministic nature. Even zeroing out the temperature (randomness of outputs), you can get significantly different results between two almost identical texts.
However, building out an ecosystem supporting new technology is a fairly common progression. If you compare it to the internet things like browser caches, CDNs (content delivery networks), code minifiers, etc. are all ways to help combat latency (a fundamental problem for the internet).
As for the effectiveness of these solutions, RAGs do help a lot when generating text against a select corpus. Its what allows the linked sources in things like ChatGPT and Googles AI results. It’s also what a lot of companies are using for searching their support pages/etc. It’s maybe not quite as good as speaking to a person, but is faster.
Similarly, the reasoning models and managing the models “context” both have shown demonstrable improvements for models in benchmarking.
I’m not sure I personally believe this makes LLMs a replacement for humans in most situations, but it at least demonstrates forward progress for GenAI.
I think you may be mixing a couple of things together, but I’ll take a crack at this.
When you get an Ai generated response from a search engine, this is usually a modified RAG (retrieval augmented generation) approach. How this works is that the content from web pages are already pre-processed into embeddings (numerical representations of the text). When you perform a search, your search text is turned into an embedding and compared (numerical similarity) to the websites to get the most related content for your search. That means that the LLM only parses and processes a very small subset of the returned websites to generate its response.
Another element you might be asking about is how can these agentic AI systems handle larger tasks (things like OpenClaw). That is a bit more complicated and dependent on the systems design, but basically boils down to two things. The first is the “reasoning models” first break concepts into smaller tasks meaning the LLM only has to worry about a subset of a larger task. Secondly, a lot of these systems will periodically merge all past context into a compressed state that the LLM can handle (basically summaries of summaries) or add them to a database for future/faster reference.
At the end of the day, your understanding of the limits of LLM are correct, all the progress we’ve really seen with LLMs (over the past couple of years) has been the creation of systems to work around their limitations. The base technology isn’t getting much better, but the support around it is.
I don’t think you understand what a monopoly is.