“Th… Thanks… Mommy….” He laughs and sweats nervously… How the hell does Playdoh sweat?!
“Th… Thanks… Mommy….” He laughs and sweats nervously… How the hell does Playdoh sweat?!
President Donald Trump said Friday that Secretary of State Marco Rubio was negotiating at a high level with the Cuban government.
“The Cuban government is talking with us” the president said in comments to reporters as he left the White House. “They have no money. They have no anything right now.” He added: “We could very well end up having a friendly takeover of Cuba.”
READ MORE: 4 things to…
US President Donald Trump suggested a possible “friendly takeover of Cuba” as the White House looks to leverage the Communist-run island’s energy crisis to exert greater influence.
“They’re in big trouble, and we could very well do something good, I think, very positive for the people that were expelled, or worse, from Cuba that live here,” Trump told reporters Friday as he departed the White…
ALT
ALT
ALT‘Got all the hits like they’ve been pitching underhanded ⚾️
Stacked up long enough, the highlights from summer 2025 have been at large, especially with the duo that’s formed ☝🏻
We thought 2025 was the year of @junya_180sx_kf but also, it was too; @senna_10_07 👐🏻
When two legends get together, whether in Japan or elsewhere, the story is one that writes itself ✍🏻
However, it’s the collaborative support from inside car culture that has forever kept the work at large, and the team juggling 😳
We have plenty of sets yet to drop, so sit back, enjoy the display of Junya’s 1997 Nissan 180SX RPS13 Type X on Work VS-KF Wheels posted for display at the @local_summit car show in Japan at Kurume Centennial Park in Kurume City ⚡️
Planning your trip to experience Japan and the car culture? Save this post now for reference later 📲
@senna_10_07 • @junya_180sx_kf • @local_sumit • #STRICTSTANDARDS 🇯🇵

It’s Wednesday my dudes
Welcome to the 303rd Weekly Wednesday, the only post series that still uses a HUION New 1060 PLUS (2048) for some godforsaken reason.
Got hit with Health Problems earlier this week but at least I followed through on a promise in a WW post for once! can you believe it cause I can’t
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I can’t believe it took me nearly FOUR YEARS to finally do a headshot icon of Ray, but I guess to be fair he did have a pretty okay placeholder during that time. Here he is in all his glory!
…well, mostly. This was one of the rare instances I forgot I was doing something for this stupid post series and made a composition that is woefully obstructed by adding a giant watermark to the bottom left. So here’s the full version too lmao. I read something about simplifying scale shading to help with design legibility so I tried it out here on the Sky Legion scales I don’t usually line and shade; I have to think about whether I like it or not.

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Ray’s rewrite is done, but Vector’s needs to cook for a while longer. He previously had a large profile like the lead Takeover cast but I think I might downsize it to something akin to Ray’s.
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I swear I didn’t just touch my tablet on Wednesday and no other day (lie)
Visit the below link and click the Status button!
C.O.R.P.S.E. Standing for conference of reptile pundits specialists and experts should be super fun I wonder who I’ll meet??
The common traits in Texas schools that trigger takeovers https://share.google/f3HCDG6dSNcEMG7dR
ALTIt’s Wednesday my dudes
Welcome to the 300th Weekly Wednesday, the only post series to undergo a major restructuring by moving to an even more broken website.
This will be the FINAL Weekly Wednesday post to be published on YouTube! All future posts will now reside on my art blog!
This is a change I’ve wanted to make for quite some time for numerous reasons, including but not limited to: that the original intention for making these posts YouTube exclusive no longer applies; it’s impossible to maintain a following; the post function keeps getting sidelined and is clearly not a priority of the site; the image quality always gets crushed; and its new home will enable far more discovery. Nothing about the content of the posts will change, it’ll always be the same horrendous variety of quality posted as late as possible while it’s still Wednesday somewhere in the world, it’s just going to happen on an actual blog now. If you don’t have a Tumblr account and still wish to engage with the posts, firstly I recommend you give it a try, but also stay tuned as I plan to release something soon that’ll help you keep in touch.
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For the first post on this new platform, I wanted to go back to basics with a simple drawing of one of my most important OCs, my namesake Rectrix Battalia of the Red Army. This is meant to replace the previous dynamic ref artwork of hers while also showcasing soulbound power which I’ve somehow never drawn properly in the many years it’s existed lol.
If you’re new here, these posts always contain an exclusive image I don’t post anywhere else, ranging from full drawings to peeks behind the scenes. This one falls somewhere in the middle. There is absolutely no rhyme or reason to what you might find here, sometimes it’ll be a pile of sketches, sometimes an entire animatic. It mostly exists to keep my skills sharp and help fill in gaps where artwork is needed. The important thing is you won’t find it posted anywhere else!
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ONE BIG OBVIOUS ONE LMAO
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Lost In Data 23/24 - Progress Resumed
Visit the below link and click the Status button!
After years of chatbots and image generators, AI is finally leaving the screen. At CES 2026, that shift became impossible to ignore. The annual tech showcase in Las Vegas was dominated by “physical AI” and robotics, from Boston Dynamic’s newly redesigned Atlas humanoid robot to AI-powered ice makers (yes, really). The companies in attendance clearly want consumers […]
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Shares fall 2% as the company cites undervaluation for turning down the offer.

As artificial intelligence accelerates into every corner of modern life, the dominant narrative remains one of inevitability. With smarter models and total automation, many feel catapulted toward a future reshaped by machines that outperform humans at almost everything. But increasingly, tech insiders are vocalising alternative views: that the trajectory is neither healthy, sustainable, or inevitable. Dan Houser – co-founder of Rockstar games – recently compared the current boom to Mad Cow disease, saying it’s a system that’s feeding on itself and will eventually become fundamentally unstable. It’s a provocative analogy that opens a deeper question that may bring relief to some – what if the flaws emerging in AI are not bugs to be fixed, but are structural limitations that will prevent the technology from ever truly “taking over the world”?

Houser’s comparison hinges on a specific historical lesson. Mad Cow disease spread when cattle were fed processed remains of other cattle, creating a closed loop of degraded biological material that eventually produced catastrophic neurological failure. His argument is that artificial intelligence is – rather than becoming invincible and taking over the world – actually drifting into a similar pattern. Models are increasingly being trained on synthetic outputs that were previously generated by other AI systems – not on human-created knowledge.
Essentially, as automated models continue growing, more of what we see on the internet is generated by the same systems. Thus, as new and existing models train further, they are in fact only digesting their own outputs. Researchers have already documented a phenomenon known as model collapse, where generative systems trained repeatedly on AI-created data become less accurate, less diverse, and more detached from reality over time. Instead of their intelligence compounding, the systems end up hollowing themselves out, reinforcing their original errors and flattening nuance.
Public-facing AI marketing focuses on scale: more data, more integration, more parameters. What’s not being talked about, however, is the growing scarcity of high-quality, human-generated training material. Much of the open internet has already been ingested by existing models, meaning what’s left is increasingly polluted by spam, automated noise, and other forms of AI content.
Large language models without access to continuously renewed human input such as art, reasoning, writing, and genuine lived experience, are at serious risk of stagnation or regression. The irony is stark: as more automated content floods the web, the less reliable the web becomes as a training source.
Houser’s criticism cuts deeper than technical architecture. He argues that those pushing hardest for complete AI adoption are often insulated from the intellectual and cultural costs, instead prioritising efficiency over proper understanding. In his own words, these executives are “not fully-rounded humans” who are narrowing perspective inside decision-making circles.
Rockstar Games – which Houser co-founded – built its reputation on human-crafted complexity including satire, cultural texture, and general creativity. These are exactly the qualities that generative AI struggles to reproduce convincingly.
While models can generate dialogue, textures, and code snippets, they lack an internal sense of meaning, motivation or consequence. These are qualities essential to storytelling and world-building, and game developers have long since encountered AI’s limits in practice. They highlight a broader issue: AI can imitate form, but it doesn’t understand context. It can predict what should come next, but not why it should come next at all.
Houser is just one example of a growing number of concerned tech executives who are all echoing similar sentiment. They often warn that AI systems are brittle, overhyped, and fundamentally misaligned with how intelligence really works.
Confident but false outputs are often called “hallucinations”. These act as signs that these systems don’t actually know anything in a human sense. There’s also the concern of skyrocketing energy costs, data bottlenecks, and diminishing returns as models scale. Rumours are circulating that brute-force scaling and trying to expand as rapidly as possible is in fact approaching economic and physical limits.
Reassuringly perhaps, the fear of runaway super-intelligence starts to look less like an imminent threat, and more like a distraction from the real risks: cultural homogenisation, misinformation, and institutional over-reliance on systems that can never work like human beings.
This structural weakness may be precisely what prevents catastrophe. If AI systems degrade when isolated from human input, then they can never become self-sustaining intelligence forms. They remain parasitic on human creativity and judgement, and that dependence undermines the popular science-fiction images of machines autonomously improving themselves beyond human control.
In that sense, AI may be more like an amplifier than a replacement. It can be a powerful tool, but fundamentally constrained. Perhaps it can accelerate patterns already present in society, but it cannot generate meaning, ethics, or purpose on its own. It may not be harmless, but it does start to appear limited.
The most serious danger in this case would not be AI itself, but rather how institutions respond to it. Corporations, media organisations, and even governments are increasingly treating AI outputs as authoritative, even when accuracy is uncertain. Over time, this degrades human expertise, accountability, and critical thinking.
If AI-generated material becomes the default reference point in law, journalism, education, or policy, for example, then errors stop being isolated mistakes and start being systemic failures. This is the true “mad cow” risk: not that machines rebel, but that humans outsource judgement until the feedback loop implodes.
Houser simply asks whether society is confusing automation with wisdom, and speed with progress.
If AI is truly entering its “mad cow” phase, then the fantasy and fear of total machine dominance looks less convincing. That may disappoint futurists and alarmists, but it should reassure everyone else.
The future certainly needs human judgement, creativity, and understanding. If we take arguments like Houser’s, then the danger isn’t that AI will replace everybody, and it doesn’t look like AI could ever take over the world. But that doesn’t mean we won’t end up surrendering it voluntarily by relying on automated models too much in the meantime.
I’m tryna go to hell, fuck heaven
Cause I like money, whores and weapons
If they send my ass up to heaven
Everybody dying up in heaven
AJForty7 is back for Part 2 of his Up2Live Takeover brought to you by UP2STNDRD. Takeover is exactly that. AJ Forty7 commands the space with hard-hitting bars and a live band that doesn’t hold…





she intended to just take a brief nap on the sofa…
but while she slept
the Hose did its work
slithering
slipping
sliding
encasing
converting
controlling