The public fundamentally misunderstands this tech because salesman lied to them. An LLM is not AI. It just says the most likely thing based off what is most common in its training data for that scenario. It can't do math or problem solve. It can only tell you what the most likely answer would be. It can't do function things. It's like Family Feud where it says what the most people surveyed said.
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Some of them will "do math" but not with the LLM predictor, they have a math engine and the predictor decides when to use it. What's great is when it outputs results, it's not clear if it engaged the math engine or just guessed.
when it outputs results, it's not clear if it engaged the math engine or just guessed
That depends on the harness though. In the plain model output it will be clear if a tool call happened, and it depends on the application UI around it whether that's directly shown to the user, or if you only see the LLM's final response based on it.
I explain it as asking 100 people to Google something and taking the most common answer.
Yeah, that's basically exactly what family feud does.
Yep but instead of "name something a woman keeps in her purse" it's "write my legal document" or "is it ok to lick a lamp socket"
Makes me so angry. All the problems that couldve been solved with that kinda money. Climate crisis. World hunger. Population migration. Housing affordability.
If Trump triggered WW3 and we all got nuked id be fine with it. We don't deserve to exist.
Instead, all that money is being used to accelerate our doom. AI datacenters unnecessarily consuming power and drinking water in small towns everywhere. Many just dumping humidity into the air and letting that water literally blow away via lazy evaporative cooling. Most "normal" water consuming processes consume, treat, and return water to the downstream-traveling aquifer.
Now, couple that with an overall warming climate. When air is warmer, the more moisture the air can hold. So we end up with more water vapor in the air than normal. With the weirding factor of climate change, this means more water energy for more powerful and destructive storms the likes of which humanity has never seen. Which feeds back into more ice melting, oceans rising, permafrost melting, cycle, accelerate, cycle, accelerate.
Also, real curious to see how millions of warehouses belching humidity and heat into the air across the surface of the globe can affect the general weather patterns, but that sadly won't be known until after the damage is done.
There was an ad during the Super Bowl that succinctly sums up how I feel right now: “America deserves Pepsi”
I just used the voice feature in my truck to enter an address for Google maps like always, it came up as Gemini with a long speech. I repeated the address, it asked me if I wanted the location in my home city or one in a city over 400 miles away. Regression with exponential cost.
God I hate that. “Alexa turn on sleep” was a reliable “turn on sleep scene” until “Alexa Plus” came around, and now it randomly assumes in trying to tell it goodnight and tells me to have a good night.
Same with “sixty minutes” being immediately parsed as “sixty minute timer” and now sometimes simply results in a “what about sixty minutes?”
They’ve lowered the success metrics and satisfaction a whole bunch, but don’t fret you can now hold a “conversation” with it! Complete with logical contradictions!
And every fake-friendly long-winded response consumes more electricity and water than it should, while also being useless.
This is most unhinged take from both sides.
Time can’t exist in LLM by design: it’s just a thing that predicts next token based on previous tokens. There is no temporal relation between tokens. You can stop and resume generation at any point. How anyone expect it to “count time”? Based on what? The best you can do is add time mark to model input at some interval.
Simplifying, somewhat complex biological systems have some kind of clocks that actually chemically tick and induce some kind of signal that they can react on.
LLMs can’t do that like at all. They never will. Some other architecture that runs in cycles? Maybe. But transformer shit? Never ever.
The issue is that ChatGPT will tell you that it can do those things. Most of the hype for "AI" has been predicated on treating it like actual artificial intelligence and not the LLM parrot it truly is
I don't think anybody is expecting an LLM to do it
what they are expecting is the product, chatGPT, to be a one-stop spot that can do basic tasks like that
Even if it could, it would be an order of magnitude more inefficient in terms of convenience than the stopwatch we already have on our phones.
"Hey ChatGPT, do the thing I could have done in 3-4 clicks on my clock app."
Not to mention the sheer wastefulness in terms of energy. A MINECRAFT REDSTONE MACHINE TIMER WOULD BE MORE EFFICIENT. (Not to mention that, unlike SOTA LLMs, it can run offline on a phone)
minecraft is turing-complete, so, like, you can do a whole lot more than just be a timer.
He's going to ask US Congress for a bailout with taxpayers money when this all fails and Congress is going to most likely give it to him because this one company is a huge part of the US economy
I don't think so, and I'm on the Ed Zitron train of thought why not.
The financial instruments got a bailout in 08, because the economy itself would stop functioning. That's different than the stocks would drop. Also, there's like nothing to bail out? OpenAI and their ilk are just sucking down capital and returning nothing. Even if they get one bailout, they need a continuous stream of unlimited money forever? I don't think it'll happen.
I hope I'm right, cuz damn that shit is cancerous
Why's this need to be on the LLM? They control the app, can't they just make a tool call out?
Hey, set a timer for 60 seconds.
ChatGPT analyzes text
You want a timer for 600 seconds, got it!
Sets timer for 600 seconds with api.
Okay, so, in case the headline is confusing anyone else, it's literal. Like, you know how there are those cringe-ass Alexa ads that are about how it does AI language processing and assistant shit? Yeah, ChatGPT can't I guess.
It's become more and more obvious that the reason he regularly looks like a rabbit caught in headlights is because he is, in fact, a fraud and not the tech genius he would like everyone to believe.
I feel the same way about Elon Musk's stutter. I think a good fraction of the repeating sounds he does when he talks is actually him just buying time because he's actively bullshitting. I could be wrong, but I don't trust that MF'er.
He looks like a guy who got intentionally hit with lacrosse sticks over and over and over in high school because he deserved to be hit with lacrosse sticks over and over and over and we should maybe make it an annual event to hit him in the face with lacrosse sticks because he looks like a guy who deserves to be hit in the face intentionally with lacrosse sticks over and over and over.
Just make Codex write the code for it. Should be easy. Don’t even need humans. Right?
Its a Large Language Model, not a Large Number Model.
Shit like this is a reminder to me that a large portion behind some AI products' hype are people who have no clue what these products even do. I wonder how the world would change, if these jack of all trades who ~~invest~~ waste so much time into collecting ideas to fill up their pockets, instead spent more time on actually understanding the ideas they have chosen and build at least a fundamental knowledge.
This will actually be solved in a week. All it takes is to add the current time to each input.
Lol. Why dont they ask the AI how to program an AI?
They should just vibe code the feature. They'll have it done in an afternoon, right?
Sam Altman wants funding right?
Here is an idea. I would pay 1000 dollars to get in a boxing ring with this guy, and probably a lot of other people would love to get a shot at that punchable face, no?
We have solved funding.
Everyone’s getting their knickers in a twist over nothing here.
Of course an AI can track time, if it’s given access to a timer MCP server.
Can we track time without tools, just in our heads? Certainly not very accurately. We can, however, track it reasonably accurately if given access to a quartz stop watch (typically +/-15 s/year)
A language model is based around language and reasoning by words/symbols. It’s not a surprise it doesn’t have timing capability.
What Altman SHOULD be embarrassed about is that the model lies about its capabilities. That implies that the context is still not right - it should be adequately trained and given context to prevent the lying. That implies a much more worrying issue - and something that Anthropic handles far better, IMHO (when asked if it can track time, if says “no, not on my own”, and then proceeds to build a JavaScript timer that it offers up to track time).



Dear Scat Altman, just add a timestamp at each response that the LLM can read
You would already be doing a great service to the world if you produced a really well tuned search engine / information digger with LLMs but no you had to periodically hype it as AGI because it can memorize entire text books with some accuracy. You did this to yourselves and if you fall it will be because of these expectations which are not met.
Scam Altman sounds like it's a name straight from an hltv comment section, I love it