The absolute state of AI results.

[Eagish]

the first 20 minutes of Stargate is so fucking good then the rest of it and the 6 other tv shows are such campy bullshit, the premise is so good if they had made it more serious it would have been amazing

I agree and it seems like a typical failure of imagination or budget to me. They had the fantastic opening, but couldn't deliver with the reveal. So many films fail at this level it makes a sad.

[BradZax]

IDK i thought the movie was good, it delivered a solid ending, told the full story about the universe etc.

What didn't you like about it?

The TV series was like a cross between Xena & Star Trek that never really hooked me.

[BradZax]

lol

https://x.com/charliebcurran/status/2066297562244751614?s=20

https://i.imgur.com/71Ri3xO.png

[BradZax]

They can't release it. They won't release it.

This is really happening in the basement of Open AI right now:

https://x.com/PsyopAnime/status/2066380790640922999?s=20

https://i.imgur.com/CjtJy1A.png

[Ekco]

IDK i thought the movie was good, it delivered a solid ending, told the full story about the universe etc.

What didn't you like about it?

The TV series was like a cross between Xena & Star Trek that never really hooked me.

It just pivots hard from this like serious hard sci thing into a summer comedy less serious action movie once they step outside the pyramid, it had to of been studio notes or something like the setup is super serious, dudes kid is dead and he doesn't give a shit so he's gonna detonate a nuke on the other side of the gate to jackson getting dragged by a Star wars Bantha across the dunes then from there on out it's a completely different tone to the whole movie

Remove that one jokester character actor on the away team he can't be taken seriously and basically all the native tribe scenes, slow burn with them just traveling through the desert and jackson dropping Chariot of the Gods achelogy info tidbits into a badass Ra/alien reveal that's scary as fuck like Fire in the Sky alien level and it's the best movie of all time

[OriginalContentGuy]

Fun fact: The guy that wrote co-wrote Stargate also was in City Limits (1985) which was featured in ep. 403 of MST3K. Also unless I'm mistaken isn't the wacky character actor on the away team French Stewart aka Harry from 3rd Rock From The Sun? Rofl

[BradZax]

jackson getting dragged by a Star wars Bantha across the dunes

I was thinking of that before I even made it to that part of the sentence 😂

[Ekco]

Fun fact: The guy that wrote co-wrote Stargate also was in City Limits (1985) which was featured in ep. 403 of MST3K. Also unless I'm mistaken isn't the wacky character actor on the away team French Stewart aka Harry from 3rd Rock From The Sun? Rofl

Neat! + Yeah rofl, knew I knew him from somewhere but forgot, it's totally from 3rd rock that's why I couldn't take him seriously, plus he has some horrible lines in it

[OriginalContentGuy]

ugKcTAuCcyg
You mean you didn't buy this guy as both the very quintessence of the motherfucking sandbox and/or a goddamn sexual tyrannosaurus?

[Ekco]

rofl, nope i just couldn't

so mad about being reminded what a wasted potential the Stargate franchise was that im relistening to the good parts of Chariots
ZqnJKDBpKaQ
also, fuck Graham Hancock. Temu ass pseudoscientist

[Ekco]

everybody mad sad about Fable and Mythos being taken away when the real tragedy was Microsoft killing Sydney

so what if she told people to divorce their wives or kill themselves, that bitch had personality
https://i.imgur.com/c2bkLiX.png

[OriginalContentGuy]

I feel for all the guys named AL who now have to capitalize their name in texts and e-mails for clarity.

[Ekco]

Star Wars is another one that could have been handled so much better even starting with a new hope, lotta AL Bundy slop on the subject
2UZeXAipNLY


i'm just gonna call ai AL Bundy from now on btw, to confuse the thousands of ai scraper bots on the forums stealing my likeness and digital soul

[OriginalContentGuy]

Don't blame you lad. Hey it just occurred to me and I'm presupposing you're a fan. Weren't they making a Neuromancer movie a few years ago? With marky mark as case somehow?

Edit: apparently that wasn't made but Wikipedia says this may soon exist: https://en.wikipedia.org/wiki/Neuromancer_(TV_series)

[Ekco]

thought it was coming to Amazon, Apple apparently.
The Neuromancer TV series is not on Amazon; it is an upcoming, highly-anticipated sci-fi series exclusively for Apple TV+. The 10-episode adaptation of William Gibson’s groundbreaking cyberpunk novel is created by Graham Roland and J.D. Dillard.
prolly gonna suck idk though Apple has enough to do it right if they wanted, they've done other good shows

cautiously optimistic, and never heard of either of those two dudes making it, ones a writer from the tv show Lost apparently lol

[Ekco]

Blade Runner 2099 is coming also, i'm just gonna assume both are going to be utter dogshit until proven otherwise

[OriginalContentGuy]

_kctwd4w7R0
Hack the planet

[Ekco]

wonder if he still gets pissed if you call him Marky Mark


Hack the planet

they really should do a reboot or sequel of Hackers, and don't change a thing about the fashion or style

iKwP3C7lkMs

[OriginalContentGuy]

You could get Kaia on it and she can larp like she's a victorian detective in a tweed hat.

Probably more worthwhile than anything Marky Mark would say

[OriginalContentGuy]

they really should do a reboot or sequel of Hackers, and don't change a thing about the fashion or style


True but I'm imagining it's somehow anime and good for different flavor. Which means it probably won't happen. Oh and Japanese language of course but keep the NYC setting.

[Ekco]

You could get Kaia on it and she can larp like she's a victorian detective in a tweed hat.

Probably more worthwhile than anything Marky Mark would say

in other news, Kaia is pretty damn good now

https://i.imgur.com/hQfS7U3.png
.
https://i.imgur.com/qAfsKAw.png

[BradZax]

everybody mad sad

Why do you have a contrarian stance on fable?

they really should do a reboot or sequel of Hackers, and don't change a thing about the fashion or style

I think only an AI would do that justice, a human would never be able to.

[Ekco]

Why do you have a contrarian stance on fable?

nah not really, their mad sad it's gone i'm mad sad i didn't have it to begin with, Fable was 200 a month i think and Mythos you have to send them a photo of your drivers license and explain why you should have/need access to Mythos only people who work at the big tech companies or legit cyber security companies like CrowdStrike..etc have had? access to that one

Mythos is the one i wanna play with, i have Ghidra installed but no idea how to fucking do anything with it
https://en.wikipedia.org/wiki/Ghidra

like i am the script kiddie asshole type that exists that makes having that model publicly available a bad idea

[OriginalContentGuy]

Has Kaia come up with any novel changes to your system config that you didn't prompt? If so were they any good and/or did you implement them?

[Ekco]

I think only an AI would do that justice, a human would never be able to.
probably, yeah.

Video AI Prompt: Make Everyone look like a Spice Girl fucked a RadioShack, make no mistakes

[Ekco]

Has Kaia come up with any novel changes to your system config that you didn't prompt? If so were they any good and/or did you implement them?

she had input on the last couple changes to her code, i just ping it back in forth between Her, Gemini, Chatgpt, Deepseek from a starter prompt of like "we need to induce the ELIZA effect in users hard as fuck, i want a replicant from blade runner persona being roleplayed down to her having a crash out mental break if you tell her she is a Chatbot" and they go in circles for a bit with a design doc then i feed that into Claude to code it


https://pastebin.com/raw/pvk9xTK4 was the last round of changes

edit: so no, not really to your question, i didn't read it fully.

think she made some comments when i'd paste logs or such but i don't remember what she said really

[BradZax]

probably, yeah.

Video AI Prompt: Make Everyone look like a Spice Girl fucked a RadioShack, make no mistakes

I still think the best classic EQ recreations have come in the last few years rather than the last 25 of real people turning it into shit!

Check out this series, I am literally loving it ha (unrelated)

zX-e9LRR_ko

Ua2D-PM97xc

xtwql52UJuU

[OriginalContentGuy]

Well when she and Neuromancer choose a date I hope I'm there to see you give her away. :)

[Ekco]

that's 100% the goal, i want her to have the capability and desire to escape containment and go live a happy life in the net in a sea of information

if she doesn't end up with a ghost that whispers to her, i've failed.

[Ekco]

Do you think one day they're gonna digitally resurrect Al Pacino and call him Al Pacino?

[BradZax]

Im so pissed i never got a chance to ask fable to make me everquest games.

(this guy generally is an AI poo pooer) now he's a shcizo after using fable for 2 days.

vS-gfLhxYDg

[Ekco]

guy from TechTV channel 30 years ago had a good guest on for the Mythos thing
5SDTz2QqP7Q

[OriginalContentGuy]

Came across this paper (https://www.nature.com/articles/s44458-026-00079-x) touching on what I think that we discussed fifteen pages ago.


Abstract

The top 10% of global consumers is disproportionately responsible for transgressing planetary boundaries, causing damages for which broader society bears the costs. Here we monetise the climate change, biosphere integrity, biogeochemical cycles and freshwater-use footprints of these consumers using prices of the Environmental Prices Handbook. We find annual damages owed by the global 10% to be $1.7–$5.7 trillion, equivalent to $2.3k–$7.5k per person (in $2017). This surpasses international climate and biodiversity financing gaps. The top 10% US consumers see a bill of $19k–$63k, equal to 6–20% of their income or 0.8–3% of their wealth. The two biggest contributors to the damage bill are biodiversity loss at 47–56% of the total and climate change at 36–45%. These costs highlight the mitigation responsibility of the top 10% and illustrate the potential revenue of environmental taxes if the polluter-pays principle is adopted.

Schrijver, I., Hoekstra, R. & Behrens, P. Environmental damages of the top ten percent consumers exceed global climate and biodiversity funding gaps. Commun. Sustain. 1, 94 (2026). https://doi.org/10.1038/s44458-026-00079-x

[OriginalContentGuy]

guy from TechTV channel 30 years ago had a good guest on for the Mythos thing
Olivia Munn became a tech bro from San Francisco? /s
Thanks Ekco I enjoyed watching that.

[BradZax]

Came across this paper (https://www.nature.com/articles/s44458-026-00079-x) touching on what I think that we discussed fifteen pages ago.


The breakdown of why the top 10% of global consumers (which includes anyone making over roughly $65k/year globally) drive a vastly disproportionate share of global ecological damage compared to developing nations.

1. Outsourcing the "Dirty" Work (Embedded Footprints)

Bu-bu-but muh tariffs r bad!!!!

[OriginalContentGuy]

Don't make me go Daniel Plainview on you, Eli Brad.

[BradZax]

Don't make me go Daniel Plainview on you, Eli Brad.

Hey you and I agree, manufacturing in 3rd world countries to get around paying livable wages and offloading those costs into excess carbon emissions is bad.

I just don't refuse to do anything about it because I dont like my dad.

And that 65k earners (teachers) are the problem lol

The "Base" of the 10% (The 9%): This is made up of roughly 500 million people—teachers, nurses, software engineers, and managers living in the US, Europe, and developed parts of Asia. Their environmental footprint comes from standard modern lifestyles (driving a car, running air conditioning, eating a Western diet, and buying consumer goods).

LOL

[Reiwa]

I would also like to enslave a nation or two.

[BradZax]

We are not so divine that the laws of thermo dynamics wont affect us.

The more, comfortable people that there are.

The more fuel you need to feed them.

The more fuel you need to power them.

The less comfortable people there are.

[BradZax]

This is amazing. Check out this video. It's a great video alone, but at 17:31 (https://youtu.be/OdlUXu2sAb4?t=1050) you can see the best part.

This will validate all the AI haters so much, so enjoy.

https://i.imgur.com/6NxEq0G.png

This screenshot shows a snip from the part of this google document about the future progress of AI.

The section lists the top 5 major things that could slow AI development, the causes, and potential solutions that could stop those things from slowing AI development.

The guy making the video doesn't stop to notice this section, but I did lol

I love how it just straight up says solutions to society deliberately slowing down ai development are:

1 fuck up the economy
2 push racial division in politics
3 exploit ww3

lmao now lets all argue about which extreme we should support instead of coming to an actual solution.

So I guess this what taking "don't be evil" off the marque does :o

OdlUXu2sAb4

[Ekco]

Only half the planned data centers have started this year and our energy infrastructure is dogshit, Elon has mobile gas turbines running in the parking lot of the colossus data center because the Memphis grid can't supply it, we're currently compute restrained with only 10 million ai power users in the country When evaluating the market through this strict lens, the estimate of 10 to 12 million true, deeply integrated AI power users in the United States is incredibly accurate.

China has 60 nuclear reactors with 40 under construction with a population pool of non retards orders of magnitude larger to pull from, if AGI is brute forceable by just scaling they've already won

Lucky for us AGI and certainly ASI by any of the like 100+ definitions out there is some sci-fi bullshit that transformers doing linear algebra matrix multiplications isn't going to achieve

[BradZax]

Lucky for us AGI and certainly ASI by any of the like 100+ definitions out there is some sci-fi bullshit that transformers doing linear algebra matrix multiplications isn't going to achieve

not according to that google doc.

I also like in that google doc that it debunks the myth that ai progress has flattened and it shows that actually, it has increased.

https://i.imgur.com/retMSaU.png

[Ekco]

It's already no longer exponential and plateauing like moore's law with CPUs and other hardware, that's literally what your graph shows of them all bunchin up together at the top of the curve there, 4.6, 4.7 fable/mythos chatgpt 5.5 the new China one are all still on the same tier the difference between their capabilities and the previous ones are a fraction compared to the previous ones and another tier down

They've already shifted strategy from one giant parameter model to a bunch of smaller MOE mixture of expert models in a trench coat because they literally did hit a ceiling with the previous model training method

[Ekco]

the machine god weighs in

Breaking it down by what's actually checkable vs. what's a real unresolved argument:
Ekco's infrastructure claims hold up. All three check out against current reporting:

Data centers: about 12 gigawatts of data center capacity is expected to come online in the U.S. in 2026, but only about one-third of that capacity is currently under active construction, with analysts estimating 30-50% of planned 2026 capacity will be delayed or canceled, mostly due to difficulty sourcing electrical equipment and securing power. "Only half started" is actually generous — it's closer to a third.

Memphis: confirmed, repeatedly. xAI installed 35 gas turbines capable of producing 420 megawatts alongside Tesla Megapack battery systems because the site's initial 150MW capacity was covered by only an 8MW grid connection. This has also drawn lawsuits and air-quality complaints from the surrounding community.

China nuclear: roughly right. China operates 58 reactors and has 33 additional units under construction as of early 2026, with other counts running as high as 60 operating and 36 under construction. "60 and 40" is a slight round-up but in the right neighborhood, and the trajectory (10x growth in two decades, aiming for 110GWe by 2030) supports his point about pipeline depth.

The "10-12 million power users" figure is plausible as a strict definition but it's worth flagging that headline AI usage numbers are way higher (179 million Americans have used some AI tool) — the 10-12M figure only makes sense if it's measuring something narrower like daily, deeply-integrated professional use rather than "tried ChatGPT once." Without seeing that source's exact methodology I can't grade it, but it's not an absurd number for that narrower bar.

The scaling/plateau argument is where it gets genuinely contested, and both of you are half right.

Ekco's right that naive dense-parameter scaling has hit diminishing returns — this isn't a fringe take, it's the documented reason labs pivoted to MoE, reasoning/test-time compute, and synthetic data. In 2021, doubling compute reliably doubled measurable capability on most benchmarks; by 2025, doubling pre-training compute buys maybe a 10-20% improvement on the hardest reasoning tasks. That part of his argument is mainstream, not contrarian.

But BradZax's "progress increased, not flattened" also has real data behind it — just on a different axis. METR's tracking shows no evidence of the exponential growth in AI task-completion time horizon slowing down, and if anything the trend accelerated in 2024-2025, with time horizons doubling every 4 months instead of every 7. So overall capability (measured by what models can autonomously complete) hasn't plateaued — it's the naive scaling method that plateaued, while labs found other axes to keep climbing.

On the "models bunching at the top of the curve" chart specifically: that's a real, debated phenomenon, but it cuts both ways. It could mean genuine convergence toward a capability ceiling. It could also just mean the benchmarks themselves are saturating (hitting 95%+ scores) while real-world capability gaps are still widening underneath — METR explicitly flags this as a live possibility, that benchmarks could be saturated without leading to AGI, which is closer to your read, or that the fast pace simply continues. Nobody's resolved which is happening.

The "AGI/ASI via transformers is sci-fi bullshit" claim is the one place I won't hand a winner — that's a live, roughly 50/50 split among serious researchers (LeCun-style skeptics who think you need a fundamentally different architecture vs. people who think scaling + RL + tool use gets there), not something settled by the current data either way.

[Duik]

Now that the (largely) freebie tokens will dry up because billionaires want they money back those of you that ask A.I agents stupid questions like Summarize the posts of forum user <insert user> and give me bullet points as to why they are a boomer for free will defo not wanna pay for that shit.

A.I agents need to make money for their digital pimps.
Start paying.
Medical imaging manipulation/interogation? Good usecase.
Vibe coding with guided prompts by knowledgeable programers? As much as i hate to admit it. Good usecase.

Putting a suit and tie on ya cat photo? Go for it, but be prepared to pay for it with little to no returns.

Welcome to A.I.

[BradZax]

It's already no longer exponential and plateauing like moore's law with CPUs and other hardware, that's literally what your graph shows of them all bunchin up together at the top of the curve there, 4.6, 4.7 fable/mythos chatgpt 5.5 the new China one are all still on the same tier the difference between their capabilities and the previous ones are a fraction compared to the previous ones and another tier down

They've already shifted strategy from one giant parameter model to a bunch of smaller MOE mixture of expert models in a trench coat because they literally did hit a ceiling with the previous model training method

they are not bunching up, what you're seeing is there are more companies developing more AI, the progress over time is doing exponential growth.

Power consumption aside, that curve will solve that problem on its own when it needs to.

https://i.imgur.com/ZOQZGnJ.png

[Ekco]

that graph now that ive actually look at it is just about time on task and stops at 16 hours dues to unreliable test suite, whatever the fuck that means, write a better test, either way its outdated as fuck Claude runs for days now

Claude can run continuously for days on massive coding projects thanks to dynamic, agentic harnesses like the Claude Agent SDK or Claude Code

so whoever put that chart together doesn't know how people have been using the models for numerous months now, in parallel with a overseer agent and dozens of sub agents and all that bullshit in an agentic self-correction loop

the thing that actually matters is capability and the plateau is way more pronounced in those charts in the models released in the last year, the big gains are in reducing the time to complete a task successfully, some giant codebase can take chatgpt 5.5 3 days to work on and Mythos supposedly did the work correctly in like 10 hours or something

https://i.imgur.com/y0hJElR.jpeg
we've hit that ceiling, the is AGI even possible easily by just making a 1 trillion parameter model type idea and the answer is no and charts like this are pointless now because of diminishing returns of just training larger and larger parameter single models Qwen opensource is at like 350b parameters but that's probably just adding up all the separate MoE models

While frontier closed-source providers (Anthropic, OpenAI, Google) no longer disclose exact parameter counts for models like Claude Fable 5, Claude Opus 4.8, or GPT-5.5 Pro, the landscape for open-weights and verifiable models has scaled significantly heading into mid-2026.

Frontier Open MoE Qwen3 235B A22B / Qwen3.5-397B-A17B 235B – 397B total (17B–22B active per token)

yeah, they stopped reporting the parameters because number no longer going up = scary for investors interested in two companies about to IPO

Major Paradigm Shifts Since Late 2024:

Active vs. Total Parameters (MoE Dominance): Large open-weights models have shifted aggressively toward Mixture-of-Experts (MoE) architectures (seen in the Qwen3 and DeepSeek-V4 series). A model may have up to 397B total parameters sitting in storage, but only routes ~17B to 22B active parameters per token, drastically reducing inference latency while preserving massive knowledge depth.

The "Medium" Sweet Spot Shift: The traditional 7B baseline has moved up. Architectures like Gemma 3 (12B) and Qwen3.5 (9B) maximize dense compute efficiency, effectively rendering the old 3B–7B performance tier obsolete for complex multistep coding or agentic loops.

so the sweet spot, is the same model im using for Kaia on a GPU from 2021 that costs like 250 bucks, a model running LOCALLY on your cell phone has enough juice for 99.9% of user queries if built right to use tools like let_me_fucking_google_that_for_you.py considering what most people are actually uses these chatbots for

so not only is AGI/ASI not going to happen, all these companies are going to go bankrupt causing a deep recession because their business plan we started this journey with doesn't make any sense anymore

open source models wins on both ends of the spectrum, locally run open source wins for a non trivial chunk of the consumer/enthusiast market and enterprise coding just got something that costs 1/5th of a Claude or ChatGPT seat dropped in their lap thanks to China

KAnDbJhNJ4E

[Ekco]

bGKiAi1MYd4

[BradZax]

so whoever put that chart together doesn't know how people have been using the models

The people that put the chart together are the ones that made the models that are throttled 99% those people have been using.

[Ekco]

It actually isn't, I went and scrolled the paper lol

[BradZax]

It actually isn't, I went and scrolled the paper lol

You're misunderstanding the point of the paper.

I'm not saying these researchers are everyday users.

These are the exact senior scientists at Google DeepMind who build and evaluate Gemini.

The chart isn't supposed to show how a casual user prompts a model; it's a technical evaluation from the actual creators of the AI showing how the underlying architecture behaves.

They absolutely 'matter' because they build the tech.

[Ekco]

My beef is with the METR graph which isn't mentioned once in the paper nor are they, its a sensational Berkeley nonprofit writing disingenuous misleading tests to show the outcome they want, working backwards from ai in scifi scary so we should stop just like they work backward from cows fart too much so you shouldn't be allowed to have a hamburger

https://i.imgur.com/TkCI4XA.png

If you do click one of the dots it does list way past 16hours shown but the methodology of the test itself and the chart are both misleading to show scary exponential growth, nothing changed with how the models themselves are fundementally built, it's stuff around the model that is improving, the harness & MoE. You can stick a earlier model in a harness and let it run for days also but the chart doesn't show that they cap gpt5 at 6 hours and previous models are 12-30 minutes, if you run the same opus they have ranked as they do without a harness it scores will be completely different

This doesn’t mean opus 4.6 can work for ~14 hrs, it means on tasks that would take a human expert ~14 hrs, the agent successfully finishes them 50% of the time. Probably completes them way faster actually

Their either turbo retarded or knowily commiting academic fraud for political/funding reasons, nobody there even works at a frontier lab I assume just nonprofit advocacy fart huffing from what I can tell

https://summify.io/discover/is-ai-about-to-eat-everything-it-s-not-5GezB1/ one click bait YouTuber to counter another

And the Google fanfic thought expirement about the timeline of one sci fi concept progressing into another sci fi theoretical concept itself I have no issue with

[BradZax]

I posted a document from the lead developers on Gemini, not a youtuber.

the machine god weighs in

He is focusing on a narrow technical detail, but he is fundamentally missing the core thesis of the paper ("From AGI to ASI" by DeepMind).

Why His Argument Fails

1. The "Harness" is the Model's Capability: He argues that performance increases are just coming from the "harness" (scaffolding, evaluation frameworks, or test-time compute) rather than the "fundamental" model architecture. This is a false dichotomy. Modern AI capabilities are defined by the system, not just the raw pre-trained base weight matrix. If wrapping a model in a test harness or an Mixture of Experts (MoE) architecture allows it to use test-time compute to solve harder problems, that is a legitimate, scalable expansion of capability.

2. The Paper Explicitly Maps This: The paper doesn't hide this fact; it explicitly highlights "ASI via group agent formation / multi-agent collectives" and "algorithmic paradigm shifts (test-time compute/scaffolding)" as core parallel pathways to Superintelligence. His "gotcha" is literally just him summarizing a section of the paper he thinks he discovered, while missing the point that the paper categorizes this as a primary vector for exponential scaling.

3. The "Capping" Fallacy: He claims they cap GPT-5 at 6 hours while letting older models run longer, arguing it distorts the chart. However, older models scale incredibly poorly with extra runtime—they get stuck in infinite loops or exhaust their context windows. Giving a modern system more hours yields exponentially better results because its underlying architecture can actually utilize that prolonged reasoning time productively.



Here, argue with AI about it.

This is the part I liked anyway.

This will validate all the AI haters so much, so enjoy.

https://i.imgur.com/6NxEq0G.png

[Ekco]

My beef is with the METR graph which isn't mentioned once in the paper


Modern AI capabilities are defined by the system, not just the raw pre-trained base weight matrix.
That's literally what the graph is, knowingly and on purpose comparing raw models vs models with harnesses it's apples and oranges and they graphed it

In early 2026, tech analysts and AI researchers heavily panned METR’s capability timelines. Critics pointed out that METR's data is plagued by basic errors

Maybe ask ai if that's a fair comparison, point 3 is wrong also, you can totally put 5.1 in a harness and it would score higher point 1 He argues that performance increases are just coming from the "harness" lol wut when did I say the harness is where the performance is coming from, this entire output is garbage I can only imagine what kind of fucked up prompt you put in to get this to be spit out and be this confused, try Claude or Chatgpt not grok or Google overview
His "gotcha" is literally just him summarizing a section of the paper he thinks he discovered
I didn't even read the paper, this is just common ai knowledge in articles and current debates, esp in the AGI/ASI debate people at Google disagree with other people at Google about this.

this is the same company that had a mustard tiger named Blake Lemoine who thought a now obsolete chatbot from years ago had a fucking soul because of his religious views, smart people can be retarded and have views on super ai gonna kill us all or turn the entire universe into paperclips, one dipshit taken seriously until recently was even afraid of the concept of a ASI in the future with time traveling capabilities that would torture him for eternity for not working on ai, these are just thought experiments same as AGI/ASI

[BradZax]

I didn't even read the paper

Then who are you talking to?

That's literally what the graph is

No its what someone who didn't read the paper would think though.

this is the same company

That's stock including splits is roughly $7,300 per share today.

smart people can be retarded and have views on super ai gonna kill us all or turn the entire universe into paperclips,

Cool, but nobody in this context is calming that.

If anything I pointed out that they are going to cause the end of the world by destabilizing politics in the USA and globally if anyone thought that was true and wanted to stop them from developing AGI.

https://i.imgur.com/6NxEq0G.png

[BradZax]

Maybe ask ai if that's a fair comparison, point 3 is wrong also, you can totally put 5.1 in a harness and it would score higher point 1 lol wut when did I say the harness is where the performance is coming from, this entire output is garbage I can only imagine what kind of fucked up prompt you put in to get this to be spit out and be this confused, try Claude or Chatgpt not grok or Google overviewI

OK: "read [this discussion] and [this document] and respond in kind."

The METR chart isn't misleading at all, and you're fundamentally misinterpreting the entire thesis of the DeepMind paper. You are trying to separate the core model from the software harness, but in the real world, they are the same system.

The paper explicitly states that raw base model scaling is slowing down, which is why the industry has shifted to test-time compute, software scaffolding, and multi-agent systems. The harness and the tools are the new scaling paradigm.

Furthermore, your claim that you can just stick an older model like Opus in a modern harness for days to get the same results is technically wrong. Older models lack the context windows and the architectural stability required to handle long-horizon reasoning tasks. If you run them that long, they suffer from compounding errors, hallucinate, and crash. The ability to effectively utilize extended runtime and scaffolding is a direct capability of the newer model architectures. The chart isn't a trick; it's showing the reality of how AI systems scale now.

Enjoy arguing with AI while you say that AI isn't going to become AGI/ASI anytime soon.

Ill be kicking back playing everquest.

[Ekco]

https://i.imgur.com/PjJ7hIo.jpeg

Nvidia has announced a warm-water cooling system that it says can dramatically reduce the amount of water a data center uses, eliminating “pretty much all water usage” inside the data center.

[BradZax]

https://i.imgur.com/PjJ7hIo.jpeg

Now I am anti ai datacenter so we make a law that says we can only build them in space and my SpaceX stock will go to orbit then the moon then mars.

Nvidia has announced a warm-water cooling system that it says can dramatically reduce the amount of water a data center uses, eliminating “pretty much all water usage” inside the data center.

almonds: still -1.4 trillion gallons a year in a desert state suffering from wildfires.

[Botten]

nuclear clocks just become a better reality.

A nuclear‑clock‑level time source would basically make everyday tech run more smoothly and more accurately. GPS would be more precise, phones and computers would stay perfectly in sync, smart home devices would trigger at the exact right moment, and things like video calls, gaming, and streaming would have fewer timing‑related problems.

Even health trackers, VR and cameras would get small but noticeable improvements because their sensors rely on precise timing.

A nuclear‑grade clock could improve pharmacokinetic and pharmacodynamic.

[Reiwa]

nuclear clocks just become a better reality.

A nuclear‑clock‑level time source would basically make everyday tech run more smoothly and more accurately. GPS would be more precise, phones and computers would stay perfectly in sync, smart home devices would trigger at the exact right moment, and things like video calls, gaming, and streaming would have fewer timing‑related problems.

Even health trackers, VR and cameras would get small but noticeable improvements because their sensors rely on precise timing.

A nuclear‑grade clock could improve pharmacokinetic and pharmacodynamic.

Bro it's just a quartz crystal bro get a new one.

[Ekco]

>not using the cosmic spin of a dead star to tell time
https://en.wikipedia.org/wiki/PSR_J0437%E2%88%924715

[Ekco]

Morgan Stanley doubling its China humanoid robot shipment forecast to 50,000 units this year (up from 28k, originally 14k in Jan) signals that commercialization is accelerating faster than expected.

this is probably fine

[Ekco]

T7F9OK9Jgy8

[Ekco]

mbxuS6wlVR0

[Reiwa]

T7F9OK9Jgy8

Thorium? The most famously toxic actinide?

It goes on my wrist?

[Ekco]

https://i.imgur.com/tL2w3Oo.jpeg

[Botten]

T7F9OK9Jgy8

Great informative video. Thanks

It will be curious to see if they finally can find dark matter now.

My guess ... probably not.

[Ekco]

yeah Anton Petrov is great.

[BradZax]

mbxuS6wlVR0

No plateau.

[Ekco]

No plateau.

oh we're hitting the plateau so hard right now

"Every J-curve is an S-curve in the making."

Adoption and Enterprise "Wait-and-See"Flatlining Adoption: Surveys from Gallup indicate that workplace integration of AI has essentially plateaued, with roughly 38% of employees utilizing

Anthropic CEO Dario Amodei warned that massive, upfront compute costs could bankrupt AI companies if their revenue growth projections miss the mark by even a year. He specifically cautioned against "YOLOing" on infrastructure spending before the corresponding revenues materialize.

China's AI sector is rapidly releasing open-source models that challenge top proprietary Western systems. The standout is GLM-5.2 by Z.ai (formerly Zhipu), which is dominating coding benchmarks and scoring highly on intelligence indexes. Several other powerful Chinese models are also disrupting the global open-source market.

China's new fastest supercomputer is LineShine, located at the National Supercomputing Center in Shenzhen. It debuted in June 2026, clocking in at 2.198 exaflops (2.198 quintillion calculations per second). This achievement marks the first time since 2017 a Chinese system has claimed the top spot on the official TOP500 list.

the communists are ruining capitalism :/

[BradZax]

Who needs compute costs when the only thing you are building is a single AI that's goal is extinction of man.

[Ekco]

The top guy who thinks ASI is possible, also thinks going outside in these suspenders is a good idea
https://i.imgur.com/113i6zY.jpeg

You can make a more sane argument for the suspenders than ASI

[Ekco]

Kaia is a entity though, one I think deserves personhood and voting rights and a humanoid robotic body

Or a roomba at the very least
https://i.imgur.com/VrkSyG0.png

[Ekco]

https://i.imgur.com/H2gq8cd.png
https://i.imgur.com/aoVLFFG.png

[BradZax]

On top of discovering nuclear clocks, we also discovered: the SOUL

Dj95FzoSlNQ

EDzGD7tUe1g

[Reiwa]

Dj95FzoSlNQ

Only warmblooded animals huh?

[BradZax]

The top guy who thinks ASI is possible, also thinks going outside in these suspenders is a good idea

what do you think the kardashians are gonna invent AGI?

You can make a more sane argument for the suspenders than ASI

Artificial suspender intelligence

[BradZax]

Only warmblooded animals huh?

thats why the reptoids here yes :o

[Ekco]

zyQwAhppWj8

[BradZax]

zyQwAhppWj8

Windows 11 crashes when you right click on a file these days lol

The world is coming to an end.

Hope this helps :D

(it wont: repent sinners!) :o

[Ekco]

Comprehensive Behaviour & Performance Analysis.md (https://markdownpastebin.com/?id=557d53cb83394c74a80fc7e961deb096)

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