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Comment Re:"easily deducible" (Score 1) 60

If you spend time with the higher-tier (paid) reasoning models, you’ll see they already operate in ways that are effectively deductive (i.e., behaviorally indistinguishable) within the bounds of where they operate well. So not novel theorem proving. But give them scheduling constraints, warranty/return policies, travel planning, or system troubleshooting, and they’ll parse the conditions, decompose the problem, and run through intermediate steps until they land on the right conclusion. That’s not "just chained prediction". It’s structured reasoning that, in practice, outperforms what a lot of humans can do effectively.

When the domain is checkable (e.g., dates, constraints, algebraic rewrites, SAT-style logic), the outputs are effectively indistinguishable from human deduction. Outside those domains, yes it drifts into probabilistic inference or “reading between the lines.” But to dismiss it all as “not deduction at all” ignores how far beyond surface-level token prediction the good models already are. If you want to dismiss all that by saying “but it’s just prediction,” you’re basically saying deduction doesn’t count unless it’s done by a human. That’s just redefining words to try and win an Internet argument.

Comment Re:"easily deducible" (Score 1) 60

They do quite a bit more than that. There's a good bit of reasoning that comes into play and newer models (really beginning with o3 on the ChatGPT side) can do multi-step reasoning where it'll first determine what the user is actually seeking, then determine what it needs to provide that, then begin the process of response generation based on all of that.

Comment Re:LLMs Bad At Math (Score 3, Insightful) 60

This is not a surprise, just one more data point that LLMs fundamentally suck and cannot be trusted.

Huh? LLMs are not perfect and are not expert-level in every single thing ever. But that doesn't mean they suck. Nothing does everything. A great LLM can fail to produce a perfect original proof but still be excellent at helping people adjust the tone of their writing or understanding interactions with others or developing communication skills, developing coping skills, or learning new subjects quickly. I've used ChatGPT for everything from landscaping to plumbing successfully. Right now it's helping to guide my diet, tracking macros and suggesting strategies and recipes to remain on target.

LLMs are a tool with use cases where they work well and use cases where they don't. They actually have a very wide set of use cases. A hammer doesn't suck just because I can't use it to cut my grass. That's not a use case where it excels. But a hammer is a perfect tool for hammering nails into wood and it's pretty decent at putting holes in drywall. Let's not throw out LLMs just because they don't do everything everywhere perfectly at all times. They're a brand new novel tool that's suddenly been put into millions of peoples' hands. And it's been massively improved over the past few years to expand its usefulness. But it's still just a tool.

Comment not burdensome pay your tax (Score 0, Flamebait) 143

NO - "The tax targeted revenue generated from Canadian users rather than corporate profits, making it particularly burdensome for technology companies"

if you dont have a ledger of Candaian users your pretty much a fail as a company oh wait the americans dont like to pay ANY tax so will lie cheat do whatever it takes..

they are literally taking the republicans for a ride... not that any of them will refuse a ride...

 

Comment Vulkan windows, Linux, Macos, Android, iOS, switch (Score 1) 35

why cant we have a consistent base API rather than compatibility layers.... then custom depending on what the dev's want to show off now we just have DirectX and a complete monopoly that steam have to work hard to provide a layer for....

Vulkan exists and works on the majority of phones...

what are steamOS recommendations for game dav's ?
(do they have a equipment/dev pipeline recommendations like netflix do ?)

Comment all through the store but you pay tax's ? (Score 1, Insightful) 84

ok how about you stop optimizing your tax

keep your monopoly but you pay Tax and no more charging Apple AU variable rates to use your "brand" to avoid tax's etc

and you actually host rather than cache things in australia rather than sending all the locations and imessages of politicians and ADF to the USA

much love

Australia
 

Comment details matter (Score 2) 14

there is no details

just an announcement that they will be claiming against the insurance and that they could claim £100mn (pounds not dollars) means they did not have much insurance...

frankly americans routinely leak customer names, dates of birth, home and email addresses and phone numbers

whats actually worrying is household information, and online order histories

thats going to be hard to clean up and expose a LOT of people

JJ

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