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.
Basically outside of the steam deck all x86 devices are large and cost $1000. However, android gaming devices have a wide range of form factors (clamshell, dual screen, etc) ranging from $200-$800ish.
In my experience, support is nowhere near steam deck (maybe half, if that) and you aren’t going to be playing many 3D games, but it’s great for indie titles.
So if you’re looking for a smaller form factor to play indie games (including some older/lightweight 3D games) on the cheaper side, the android handhelds are an interesting option.
Yeah, that was my point. Like all technology it has potential to liberate communications, but also enable bad actors. However, to me, it’s the biggest reason why this technology would matter at all.
That was not a “good read” :(
I feel like on part no one ever mentions on things like this are, how do you enforce any jurisdiction on a satellite and what it’s doing.
The main crazy thing about a satellite data enter is you can’t confiscate it and therefore you can’t control it. Hell once it’s up there the only thing any government might be able to do is find the owner and force them to crash it (if possible).
It in a sense sounds a bit like the wild west of the original internet. Admittedly Musk being at the forefront of it all sounds terrible, but I think there is something fascinating about an information hub that could be completely independent of any country.
I can’t wait for another poll to shockingly show he’s slid to his lowest approval of 39% - again.
I swear for the past half year I’ve heard every news agency post an article every other week about his support “slipping to 39%”
You can track/identify people in range of a wifi router based on how the wifi signal is disrupted.
I believe that the original people claimed you could ID individual people using their approach, but I suspect that’s under ideal conditions and/or with some training against individual people.
??
It either means he legitimately didn’t know anything or that he doesn’t think there is any evidence to support he did know/did anything. I’m pretty sure if they had anything concrete on him, the Trump admin would have gone after him, simply to divert away from everything theyre doing.
The issue with doing this under oath is that if any evidence comes out to the contrary it’s an easy conviction. Not that he hasn’t weasled around lying under oath before, but it is higher stakes than just making a public statement.
It’s amazing what tariffs and uncertainty can do to an economy.
I think you uploaded the wrong picture, that’s clearly a toad.
What a company says and what a company actually does are not the same thing.
Your initial question was:
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).