Ben Prendergast

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Ben Prendergast

Ben Prendergast

@benjipea

Actor / Filmmaker / Golfer / Anti-AI advocate #wolfman #godofwar #callofduty #apexlegends #hades #diablo #starwars

Los Angeles, CA Katılım Nisan 2008
1.6K Takip Edilen26.9K Takipçiler
Ben Prendergast
Ben Prendergast@benjipea·
What I’ve been saying all along. We were taught AI principles in 1997, the tech has caught up to store huge data sets and make inferences. That’s it. But AGI isn’t this. We are witnessing diminishing returns. Get used to billionaires telling you they need “one more version”.
sphinx@protosphinx

AGI is not coming. We are nowhere near AGI. What we have today is inference, not learning. Models get trained once on huge fixed datasets, then frozen. You ask questions, they remix patterns they already saw. Nothing updates. Nothing sticks. Talking to the model does not make it smarter. It does not learn from you. Ever. Learning is still slow, expensive - and offline. Look at self driving. You drive around a pothole, make a U turn, and come back. The car’s AI does not learn that you just solved that exact problem. It reacts the same way every time using sensors and rules. Do this 20 times a day and it still has zero memory that the pothole exists. It just re sees it. That is why edge cases never die. There is no local learning. No accumulation. No 'oh yeah, I’ve seen this before' LLMs work the same way. Tell it your name and it does not remember. The only reason it looks like memory is because scaffolding keeps shoving your name back into the prompt every time and sanitizing the output. The model itself has no idea who you are and cannot learn from interaction. It is structurally incapable. And the scaffolding is the worst part. It is pure duct tape. Just prompts on prompts on prompts around a frozen model. When something breaks, nobody fixes learning. They add another layer. Another rule. Another retry. Another evaluator model judging the first model. So you end up with systems that are insanely complex but mentally shallow. Debugging is hell because behavior comes from hack interactions, not a learnable core. Tiny prompt tweaks cause wild behavior shifts. Latency goes up. Costs go up. Reliability goes down. None of this compounds into intelligence. It just hides the cracks. Until we have real persistent learning and real memory inside the system, there is no AGI. LLMs are not built for this. You cannot prompt your way out of it. You need a totally different architecture. Yann LeCun is right. And even then, what architecture can actually learn online, store memory, and stay stable on today’s hardware? Best case, maybe 5-10 yrs. Right now it is all inference. It looks magical, but the emperor has no clothes. A lot of people see it. Almost nobody says it out loud.

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Matt Walsh
Matt Walsh@MattWalshBlog·
People debate whether AI will ever be able to create good art. The answer is no. It’s impossible. If AI progresses exponentially for 100 years it still won’t be able to create any art, even bad art. That’s because art by definition is an expression of the human heart. It’s a language that can only be spoken or understood by beings with rational souls. AI can create spectacle. It can create distraction. In that sense it can create “entertainment” in its cheapest and most worthless form. But you can only confuse the machine’s soulless bullshit with art if you have made yourself nearly as numb and soulless as the machine itself.
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Ben Prendergast
Ben Prendergast@benjipea·
Amazon out here suggesting I don’t rehearse so loud. BELTBOX 3.0: Vocal Dampener for Singers, Actors, Performers, Stress Relief. A Portable Warm-Up Room. amzn.asia/d/e3D723N
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Dr_Gingerballs
Dr_Gingerballs@Dr_Gingerballs·
Folks, heres a list of things not happening by 2030 that you can take to the bank: -AGI or any AI at all -Autonomous vehicles deployed generally -Autonomous robots of any kind -datacenters in space All of these technologies currently rely on regression to work. The first 3 use regression to compute predictions. The last one relies on the regression compute to be practical. All automation up until this point more or less relies on regression. It is incremental, not revolutionary, and IT DOESN’T SCALE. We are seeing this now, as models have now consumed all of the data on the planet and still can’t quite do anything correctly. In small domains with lots of data, it can be practical. Nearly all automation we have today leans on small domains to remain tractable. Once the domain expands, the problem blows up. Variance is the death of regression, data be damned. And the future is more variance than trend. Humans excel because they are not statistical. They are superstitious. Adaption is quick, but leaves many data points unexplained. Most people who are extremely productive go their whole lives strongly believing a whole host of things that are not true. It is precisely our lack of statistical rigor that makes us effective. So when you try to recreate human superstition with statistics, compute will blow up and edge cases will snuff it out in the night. It is a certainty that regressive methods are a dead end. A certainty. It is not practical to require 10,000 humans worth of energy to recreate 1 human output. Now could someone discover how the mind works and the methods it uses? Absolutely. But no one is looking for it because they are getting paid millions a year to bark up another tree. And once discovered, then a roadmap must be built to get us to systems that can perform it. We must design new chips, develop new material systems, new compute structures, how to interface them with conventional computing, and on and on and on. It’s a decade+ job once the roadmap has been developed. We don’t even know where to start! The sooner we abandon the bankrupt religious belief that AI will save us, the better we will be. Because every day we ignore reality is another day for our problems to metastasize. AI will not solve our problems. Robots will not solve our problems. We must solve our problems ourselves. And we could start building a roadmap for that today.
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Housemarque
Housemarque@Housemarque·
Happy Holidays from Housemarque! ⚙️
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Gregory Louden
Gregory Louden@GregoryLouden·
Thrilled to share more of our phenomenal cast from #SAROS @TheJanePerry is back as Sheridan Bouchard after our amazing collab on #Returnal @benjipea is Jerome Jackson 🇦🇺 @AdriyanRae is Kayla Rhodes 💻 We have even more cast to share and you’ll love their performances 🎭
PlayStation@PlayStation

Saros welcomes actor Jane Perry, who portrayed Selene in Returnal. Housemarque shares new insights on the latest Story Trailer: play.st/4qgr6CB

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Ben Prendergast
Ben Prendergast@benjipea·
Seeing so much “AI is inevitable, get with the program” even though I’m anti-theft, that I can’t help feel that the billionaires are pushing a convenient algorithm.
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Aleena Amir
Aleena Amir@aleenaamiir·
This ain’t just a video, it’s proof a product can straight-up become cinema. Archive plaid, Dior moon boots, layered textures, real storytelling – we didn’t just shoot a frame, we built a whole world around the piece. Snow realism, emotional wildlife, high-fashion vibes, that’s what happens when AI, direction, and taste cook together.
Aleena Amir@aleenaamiir

Wild souls feel at home in the cold.

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Lachlan Phillips exo/acc 👾
"Artists don't use AI" Yes they do. "No one likes art made with AI tools" Yes they do. "Real coders don't use AI" Yes they do. "People don't play games made with AI" Yes they do. "People who use AI can't draw" Yes they can. "AI uses all the water" No it doesn't. "AI will never be able to.." Yes it will. If you prefer AI models with attribution, awesome. If you enjoy handcrafted media, wonderful. Just say the true things. The copes aren't landing.
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Linus ✦ Ekenstam
Linus ✦ Ekenstam@LinusEkenstam·
@FrankieS2727 It’s a playground for adults who never want to grow up. woodworking, 3d printing, podcast studio, video recording, cooking in a massive open kitchen. 5min from the beach in Barcelona.
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Linus ✦ Ekenstam
Linus ✦ Ekenstam@LinusEkenstam·
AI haters telling me I can’t do shit, I’m not creative, I’m a joke. Meanwhile I’m building a studio with my own hands, designing it, building it, and using it. Every single nail, screw, gram of putty. People on the internet just loves hate. let them come. “I love it”
Linus ✦ Ekenstam tweet mediaLinus ✦ Ekenstam tweet media
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Ben Prendergast
Ben Prendergast@benjipea·
I’m completely serious when I say you have absolutely no idea what you’re talking about.
Chubby♨️@kimmonismus

I’m completely serious when I say that Hollywood won’t survive this. @ltx_model LTX-2 can already generate 20-second, 4K AI-produced clips - complete with sound and voice. The 20-sec feature can be generated in a single prompt - one continuous generation, no cuts needed. This is the future: film creation is being democratized, and soon everyone will be able to generate their own movies. I mean, look at this, this could be straight out of a Netflix series!

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