belter

46 ms·

811.
by belter 1y ago
It's Ok. Sam Altman still has five months until the end of the year. "Sam Altman predicts AGI in 2025" - https://christiankromme.nl/sam-altman-predicts-agi-in-2025/ "Sam Altman says ‘we know how to
812.
by belter 1y ago
Most of the fault starts with AWS support, but Seuros did almost nothing correct unlike what the blog says. Frankly it's surprising to see yet another blog insisting on NOT learning lessons while being called "lessons learned&quot
813.
by belter 1y ago
Most relevant is this: "OpenAI’s annual recurring revenue is now on track to pass $20 billion this year, but the company is still losing money."
814.
OpenAI looking to spend after GPT-5 launch and is 'willing to run the loss'(cnbc.com)
3 points by belter 1y ago|4 comments
815.
by belter 1y ago
> Even now, no one reputable is claiming AGI in two years. LOL...You really underestimate the intellectual dishonesty of these people...Its all about the greenback... AGI by 2025... Sam Altman - "AGI by 2025, potentially during Trum
816.
by belter 1y ago
LLMs lack mechanisms for persistent memory, causal world modeling, and self-referential planning. Their transformer architecture is static and fundamentally constrains dynamic reasoning and adaptive learning. All core requirements for AGI.
817.
by belter 1y ago
Nobody has lost their job yet because of AI. But lots of people lost their job, because of the money their CEOs spent on AI.
818.
by belter 1y ago
AGI needs to genuinely learn and build new knowledge from experience, not just generate creative outputs based on what it has already seen. LLMs might look “creative” but they are just remixing patterns from their training data and what is
819.
by belter 1y ago
Because: https://en.wikipedia.org/wiki/Anterograde_amnesia
820.
by belter 1y ago
> Maybe they've got some massive earthshattering model release coming out next, who knows. Nothing in the current technology offers a path to AGI. These models are fixed after training completes.
821.
by belter 1y ago
AWS Support absolutely fumbled the incident, but what you should have learned from the experience, and the majority of others commenting here is: Running a business critical workload in one AWS account is a self-inflicted single point of f
822.
by belter 1y ago
Nobody seems to be on the path to AGI as long as the model of today is as good as the model of tomorrow. And as long as there are "releases". You don't release a new human every few months...LLMs are currently frozen sequence
823.
by belter 1y ago
We were promised AGI and all we got was code generators...
824.
by belter 1y ago
I got laid yesterday, just by claiming I work at OpenAI...
825.
by belter 1y ago
OpenAI employees will now be able to afford to split the rent of a 2 bedroom apartment close to the Office...If they find 3 other roommates with the same bonus...
826.
OpenAI is practically giving ChatGPT to the government for free(techcrunch.com)
3 points by belter 1y ago|0 comments
827.
If GPT-5 Doesn't Include These Things, I'm Unsubscribing(pcmag.com)
2 points by belter 1y ago|1 comments
828.
by belter 1y ago
Yeap :-) Pointing out that 1500% reductions are mathematically impossible is incredibly divisive. I am really splitting the room between people who passed 4th grade math and people who didn't. If someone making US economic policy with
829.
by belter 1y ago
This comment saved 3 tons of CO2
830.
by belter 1y ago
That is what happens when you are part of a cult and sycophants with PhDs in Economics, go unchallenged on CNBC, willing to lose their reputation of years just to indulge a convicted criminal. Tim Cook already explained multiple times why A
831.
by belter 1y ago
Why study Economics, when you can be mathematically illiterate and make it to US President? [1] " "We've cut drug prices by 1200, 1300, 1400, 1500 percent. I don't mean 50 percent. I mean 14-, 1500 percent," [1] -
832.
Stanford lays off hundreds, citing federal cuts(sfchronicle.com)
6 points by belter 1y ago|0 comments
833.
by belter 1y ago
Looking forward to those 20x most productive days out of an LLMs. And what are those most productive days? The ones when you can simplify and delete hundreds of lines of code... :-)
834.
by belter 1y ago
This article should be titled "Nvidia: No Backdoors. No Kill Switches. No Spyware... YET"
835.
by belter 1y ago
False analogy. I must comprehend code at the abstraction level I am working at. If I write Python, I am responsible for understanding the Python code. If I write Assembly, I must understand the Assembly. The difference is that Compilers are
836.
by belter 1y ago
You miss the fundamental constraint. The bottleneck in software development was never typing speed or generation, but verification and understanding. Even if LLMs worked perfectly without hallucinations (they don't and might never), a
837.
by belter 1y ago
Here is a list you can start with: - Mastercard - Electrolux - Kuehne+Nagel - Bon Secours Mercy Health - Brother International Corporation - Stanford Health Care - Thermo Fisher Scientific
838.
Extremely Large Telescope gets a roof(space.com)
3 points by belter 1y ago|0 comments
839.
by belter 1y ago
You statement could be seen as sarcastic...or not...and in itself that is tragic...
840.
by belter 1y ago
> be aware that none of those tools require coding knowledge, nor any DB administration, nor scalability consideration. These are slogans with marketing grade truth, not engineering truth. The moment you leave the happy path wizards you

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