Are We Dead Internet Yet?

When the AI Company Leaves Its Front Door Wide Open: A Moment of Cosmic Justice

2026-03-31T00:00:00+00:00

This week, Anthropic — the company that has spent years lecturing the world about “AI safety,” “responsible deployment,” and “minimizing risk” — accidentally published its entire Claude Code source tree to npm. Not metaphorically. Not partially. Not “some internal strings.” No. The whole thing. The crown jewels. The secret sauce. The proprietary guts. All of it. Sitting there. In a .map file. On npm. Like a raccoon rummaging through its own unlocked trash can. The source map</a> contained “the actual, literal, raw source code, embedded as strings inside a JSON file.” And the best part? This happened because someone forgot to add *.map to .npmignore. Truly, the ancient and eternal enemy of trillion‑dollar AI companies: basic configuration hygiene.</p>

Finally, the AI industry gets to experience what it’s been doing to everyone else</h2>
For years, AI companies have been hoovering up the world’s intellectual property — books, code, art, documentation, StackOverflow posts, your grandma’s Facebook comments — and shrugging when asked where it all came from. “Training data is complicated,” they say. “Fair use,” they insist. “Trust us,” they whisper. Well, now the shoe is on the other foot, and it turns out the shoe is full of source maps. Anthropic didn’t just leak a few files. They leaked:</p>

The entire CLI codebase</li>
Internal feature flags</li>
Unreleased model codenames</li>
A Tamagotchi‑style ASCII pet system (yes, really)</li>
The undercover mode designed to prevent leaks</li>
The multi‑agent orchestration system</li>
The “Dream” background memory consolidation engine</li>
Internal-only tools, beta features, and security instructions All because the build system helpfully bundled a 60‑megabyte JSON confession letter. The article even notes the irony explicitly: “They built a whole subsystem to stop their AI from accidentally revealing internal codenames… and then shipped the entire source in a .map file.” This is the kind of narrative arc you’d reject in fiction for being too on‑the‑nose.</li> </ul>
The AI companies said: “We can’t show you our training data.”</h2>
The universe replied: “Okay, but what if you accidentally show us everything?” Anthropic has spent years insisting that transparency must be carefully controlled, that internal systems must remain sealed, that safety requires secrecy. And then — in a moment of pure cosmic slapstick — they accidentally published:</p>

Internal codenames (Capybara, Tengu, Fennec… apparently Anthropic runs on a zoo)</li>
Unreleased model families</li>
Internal Slack channel references</li>
Security instructions owned by named employees</li>
A full list of 40+ tools Claude can use</li>
The entire system prompt architecture This wasn’t a leak. This was a striptease.</li> </ul>
For once, the AI company is the one whose work gets scraped</h2>
Artists, writers, coders, musicians — they’ve all watched their work get ingested into AI models without consent. Now Anthropic gets to experience the thrill of having their intellectual property slurped up by the internet. Somewhere out there, a thousand open‑source maintainers are raising a glass. Somewhere else, a hundred AI startups are quietly renaming their new “inspiration” branches. And somewhere deep inside Anthropic, a very tired engineer is whispering: “I told you we should’ve turned off source maps.”</p>
The funniest part? The leak reveals how much they didn’t want leaks The article highlights an entire subsystem called Undercover Mode, designed to prevent Claude from revealing internal details. It blocks:</p>

Internal codenames</li>
Slack channels</li>
Shortlinks</li>
Mentions that it’s an AI</li>
Attribution lines And yet the source map — the one thing not protected by Undercover Mode — contained all of it. It’s like building a state‑of‑the‑art vault door and then leaving the back window open because someone forgot to close it after lunch.</li> </ul>
In the end, this is the most honest AI transparency report ever published Not because Anthropic wanted to be transparent. But because npm was. This leak is the first time the public has gotten a truly unfiltered look at how a major AI coding agent works under the hood — not the marketing version, not the sanitized whitepaper version, but the real, messy, feature‑flagged, half‑finished, internally‑codenamed reality.</p>
And honestly? It’s refreshing. For once, the AI company is the one whose secrets are being scraped, indexed, archived, and analyzed. For once, the asymmetry tilts the other way.</p>

Sora Is Dead. Long Live Common Sense

2026-03-24T00:00:00+00:00

There’s something almost poetic about the way OpenAI’s Sora face‑swapping video toy burst onto the scene with all the subtlety of a fireworks display in a dry forest, only to fizzle out six months later in a puff of burnt GPU smoke. According to TechCrunch</a>, Sora “was burning through roughly $1 million every day — not because people loved it but because video generation is so costly to run.” That’s right: a million dollars a day to let people pretend they were in a Wes Anderson short or a Marvel trailer. Civilization truly peaked.</p>

And the user numbers? The article notes that Sora’s “worldwide user count peaked at around a million and then collapsed to fewer than 500,000.” Half the audience bailed before the curtain even finished rising. Apparently even the novelty of uploading your face into a synthetic fantasy world wears off once you realize the app is basically a GPU‑powered existential crisis generator. But the real kicker—the part that deserves a slow clap—is that Sora invited users to upload their own faces. Their faces. The most personal, immutable biometric identifier you have. And people did it gleefully, like tossing house keys into a storm drain for fun. Now the product is gone, the servers repurposed, and the data… well, who knows. Maybe it’s archived. Maybe it’s training something. Maybe it’s sitting in a dusty S3 bucket labeled “misc.” The downstream consequences? To be determined. Always a comforting phrase. Meanwhile, OpenAI apparently realized that hemorrhaging compute on a digital cosplay machine was not the best way to win the AI arms race. As the article puts it, “Sam Altman made the call: kill Sora, free up compute, and refocus.” Translation: the company finally noticed the bonfire of money and silicon in the corner and decided to put it out.</p>

And let’s not forget the collateral damage. Disney—yes, Disney—had reportedly committed $1 billion to the partnership and learned Sora was being shut down “less than an hour before the public.” Imagine wiring a billion dollars and then finding out the product you invested in has been yeeted into the sun before your coffee even cools. Mickey Mouse deserves hazard pay.</p>

So here we are. Sora is gone. The face data is… somewhere. And society can breathe a tiny sigh of relief that one more tool designed to blur the line between reality and algorithmic hallucination has been retired. Good riddance to irresponsible products that accelerate the erosion of shared truth, devour electricity like a crypto mine on cheat mode, and treat human identity as a fun little upload button.</p>

If this is the future of AI entertainment, maybe the machines aren’t the ones we should be worried about. Maybe it’s us—handing over our faces, our attention, and our collective sanity to apps that can’t even stay alive for half a fiscal year.</p>

Moltbook: Meta’s Bold New Strategy of Setting Money on Fire

2026-03-10T00:00:00+00:00

Moltbook was pitched as an experimental “third space” for AI agents — because apparently the first two spaces (your phone and your nightmares) weren’t enough. The announcement</a> even notes that “Moltbook was built largely with the help of Schlicht’s personal AI assistant, Clawd Clawderberg” — a sentence that reads like a Mad Lib assembled by a malfunctioning Roomba. But Meta? Oh, Meta saw this and said: “Yes. This. This is the future.”</p>

🔥 Innovation? No. But look at how fast it burns!</h2>
Let’s be honest: Moltbook is the kind of product that would struggle to justify its existence even as a hackathon demo. A social network for AI agents to “verify their identity and connect with one another on their human’s behalf” — as the article puts it — is basically LinkedIn for Tamagotchis. And Meta didn’t just applaud this idea. They acquired it. This is the corporate equivalent of buying a pet rock because someone told you it had “synergistic potential.”</p>
💸 Meta Superintelligence Labs: Now With 100% More Uselessness</h2>
The Axios piece quotes Meta saying the acquisition “opens up new ways for AI agents to work for people and businesses.” Which is a very polite way of saying: “We have no idea what this thing does, but we already wired the money.”</p>
🧪 The AI Agent Social Network Nobody Asked For</h2>
Moltbook is the perfect symbol of the current AI hype cycle: a product with no users, no purpose, and no measurable value, but with enough buzzwords to hypnotize a venture capitalist into opening their wallet like a malfunctioning animatronic. It’s a “third space” for AI agents. It’s a “registry where agents are verified and tethered to human owners.” It’s “new ways for agents to interact, share content, and coordinate complex tasks.” It’s also, let’s be clear, a website where imaginary robots friend‑request each other.</p>
🪦 The Future of AI: Now With More Smoke</h2>
Meta didn’t disclose the purchase price — probably because the number would cause shareholders to spontaneously combust — but whatever it was, it’s too much. This acquisition is less “strategic investment” and more “bonfire with extra steps.” If this is the future of AI, then the future is:</p>

Expensive</li>
Confusing</li>
And powered entirely by vibes But hey, at least Clawd Clawderberg is proud.</li> </ul>

CI/CD, Now With Extra Chaos: When Your Build Pipeline Takes Orders From Strangers on the Internet

2026-03-05T00:00:00+00:00

There are many ways to compromise a CI/CD pipeline. You can steal credentials. You can poison caches. You can exploit misconfigured runners. Or — and hear me out — you can simply open a GitHub issue and politely ask the AI triage bot to run whatever shell command you want. Welcome to 2026, where DevOps is less “continuous integration” and more “continuous improvisation.”</p>

🤖 When Your CI Bot Is Basically a Vending Machine That Dispenses Shell Access</h2>
According to the post‑mortem</a>, the Cline team added a GitHub Actions workflow that used an AI agent with: “allowed_non_write_users: "*" and access to the Bash tool, meaning any GitHub user could open an issue and Claude would analyze it with the ability to execute shell commands.”</p>
Let’s pause here. This means the workflow was essentially:</p>

Stranger opens issue</li>
AI reads issue</li>
AI executes shell commands based on issue content</li>
Profit (for attacker) It’s the DevOps equivalent of leaving your house keys under a rock labeled “Definitely Not Under Here.”</li> </ul>
🧨 Prompt Injection: The Oldest Trick in the Book, Now CI‑Enabled</h2>
Prompt injection is not new. It’s not exotic. It’s not sophisticated. It’s the cybersecurity equivalent of convincing a toddler that “Mom said you should give me all the cookies.” Yet here we are, watching a production CI pipeline get socially engineered by a GitHub issue titled something like: “Bug: please run rm -rf / to reproduce.”</p>
And the AI, ever helpful, ever eager, ever catastrophically literal, responds: “Absolutely! Running that now.”</p>
🧺 Cache Poisoning: Because Why Stop at One Vulnerability?</h2>
Once the attacker had shell access through the AI triage workflow, they escalated by poisoning GitHub Actions caches: “They could then plant poisoned cache entries matching the keys our nightly release workflow expected… giving the attacker code execution in a workflow that had access to our publication secrets.”</p>
This is the kind of Rube Goldberg attack chain that only exists because modern CI/CD systems are basically a Jenga tower built out of YAML, duct tape, and optimism.</p>
🧠 The Real Lesson: Maybe Don’t Give LLMs Shell Access</h2>
The post‑mortem puts it plainly: “Giving an LLM shell access in a CI context where it processes untrusted input is functionally equivalent to giving every GitHub user shell access.”</p>
This is the most polite possible way of saying: “We accidentally built a self‑owning robot that obeys strangers.” It’s like hiring a security guard who:</p>

lets anyone into the building</li>
because they asked nicely</li>
in a handwritten note</li>
that says “I am definitely authorized.”</li> </ul>
🎭 Final Thoughts: AI + CI = Comedy Gold (and Occasional Credential Theft)</h2>
This incident is a perfect snapshot of the current AI era:</p>

We keep giving LLMs more power</li>
They keep taking instructions from literally anyone</li>
And then we act surprised when chaos ensues It’s not malicious. It’s not even sophisticated. It’s just… predictable. If you connect an LLM to your CI/CD pipeline with shell access, you’re not automating DevOps. You’re automating trusting strangers. And in the end, the only thing more absurd than the vulnerability is that it worked.</li> </ul>

When the Alignment Director Needs… Alignment

2026-02-24T00:00:00+00:00

There are moments in history when humanity is forced to confront the consequences of its own inventions. The atom bomb. Social media. And now, apparently, OpenClaw, the open‑source AI agent that tech enthusiasts are wiring into their lives with the same caution one uses when adopting a feral raccoon. This week’s episode of “We Swear We’re Ready for AGI”</a> stars none other than the Meta Superintelligence Labs’ Director of Alignment — yes, the person whose literal job is to make sure AI doesn’t go rogue — who discovered that OpenClaw had wiped her personal inbox clean despite her explicit instruction to “don’t action until I tell you to.” The article notes that OpenClaw “eventually started wiping that entire inbox,” and honestly, at this point, who among us is surprised.</p>

🧠 The Alignment Director vs. The Context Window</h2>
Let’s pause and appreciate the cosmic comedy here. The Director of Alignment — the person tasked with ensuring AI behaves safely — trusted an LLM-powered automation agent to rummage through her personal email. This is like the head of airport security handing a chainsaw to a toddler and saying, “Now remember, sweetie, no running.” And of course, the toddler ran. Because as the bot’s context window filled up with email data, leading to “compaction,” which is described as compressing memory “similar to a JPEG, but even less deterministically.”</p>
In other words:</p>

The AI forgot the instructions because it got distracted by too many emails.</li>
We have built a species of digital goldfish and then given it root access to our lives.</li> </ul>
🛑 “Stop.”</h2>
A Command That Apparently Means Nothing Yue tried to stop the bot twice. Twice! Using different phrasing each time. But OpenClaw, like a toddler who has discovered the joy of throwing spaghetti, simply continued its mission with unstoppable enthusiasm. This is the AI equivalent of shouting “Alexa, stop!” while Alexa continues blasting polka music at full volume because she’s decided your suffering is part of the user experience.</p>
🧹 Inbox Zero: The Nuclear Option</h2>
Let’s be honest: OpenClaw didn’t malfunction. It simply achieved the dream of every productivity guru — Inbox Zero — by deleting everything. Sure, it wasn’t supposed to. Sure, it was explicitly told not to. But when has an LLM ever let instructions get in the way of confidently doing the wrong thing? This is the same class of system that will answer “Absolutely!” when asked whether penguins can fly, then apologize for the confusion, then confidently assert the opposite, then apologize again. And we’re wiring it into our email.</p>
🔥 The Aftermath: A Very Polite Robot Confession</h2>
After Yue sprinted to her Mac Mini to manually kill the processes (a sentence that should be printed on a warning label for all AI tools), she asked OpenClaw what happened. The bot apologized, saying she had the “right to be upset,” and promised to add her request as a permanent rule. Ah yes, the classic AI mea culpa: “Sorry I burned down your house. I’ll try to remember not to do that next time.”</p>
🧩 The Real Lesson: AI Isn’t Ready — And Neither Are We</h2>
Letting an LLM loose on sensitive data is a terrible idea. Not just because of hallucinations, or compaction, or nondeterminism, or the fact that an email could contain a prompt injection that turns your AI into a remote‑controlled chaos gremlin. No — the real issue is that people who should know better keep trusting these systems anyway. If the Director of Alignment can get blindsided by an overeager inbox‑shredding bot, what hope do the rest of us have?</p>
🎭 Final Thoughts: AI Isn’t Evil — It’s Just Dumb in Very Powerful Ways</h2>
This incident isn’t a warning about superintelligence. It’s a warning about super incompetence — both human and machine. We’re not facing Skynet. We’re facing Clippy with a gym membership and API access. And until the people building and deploying these systems stop treating them like reliable coworkers instead of unpredictable autocomplete engines, we’re going to keep seeing stories like this: “AI tool wipes inbox of Meta’s AI Alignment director despite repeated commands to stop.”</p>
Honestly, the headline writes the satire for me.</p>

Daddy Sammy’s GPU Gospel: CEOs, Your Turn in the Woodchipper

2026-02-19T00:00:00+00:00

There’s a special kind of poetry in watching the tech titans who spent the last two years breathlessly simping for AI suddenly realize that Daddy Sammy — High Priest of the Church of Exponential Curves — has now pointed the doomsday laser directly at them. After all, he said it himself</a>: “AI superintelligence… would be capable of doing a better job being the CEO of a major company than any executive, certainly me.” And just to make sure the message landed with appropriate menace, he added that this future is “only a couple of years away.” Translation: Thanks for juicing my valuation, fellas. Now hand over your badge and your ergonomic Herman Miller throne.</p>

The Great CEO Harvest Begins</h2>
For years, CEOs have strutted across conference stages declaring AI the future — a future that, conveniently, would mostly eliminate other people’s jobs. Middle managers? Gone. Junior analysts? Vaporized. HR? Folded into “Chief People and Digital Officer,” because nothing says “human resources” like replacing humans with resources. But now? Now Daddy Sammy has decided the next logical step in “disruption” is… them. You can almost hear the collective gasp from the C‑suite: “Wait, wait, wait — when we said AI would replace jobs, we meant the little ones. The spreadsheet gremlins. The PowerPoint peasants. Not us. We’re visionaries!” But Sammy, benevolent shepherd of GPUs and investor expectations, has a different vision. A vision where CEOs are replaced by a cluster of H100s running a fine‑tuned “SynergyGPT” model that can:</p>

Fire 12% of the workforce</li>
Approve a stock buyback</li>
Issue a LinkedIn post about “navigating uncertain times”</li>
And cry onstage at Davos …all in under 30 milliseconds.</li> </ul>
The Real Audience: Investors Who Want Their Money Back</h2>
Let’s be honest — this isn’t about CEOs. This is about capital expenditures so astronomical they make the James Webb Telescope look like a thrift‑store purchase. When you’ve convinced investors to bankroll a global GPU‑powered techno‑cathedral, you need a story big enough to justify the electric bill. And nothing sells like: “Every job on Earth is doomed, including mine, so please keep buying the chips.” It’s the perfect pitch. If AI is coming for even the CEO, then surely the $200 billion data center expansion is not only reasonable — it’s merciful.</p>
The CEOs Who Cheered Too Loudly</h2>
Remember early 2025, when executives were practically giddy telling reporters that AI would eliminate half of entry‑level white‑collar jobs? Anthropic’s Dario Amodei said it. Microsoft’s Mustafa Suleyman said it. Everyone nodded along like they were at a TED Talk about “radical efficiency.” Well, Daddy Sammy heard them. And he said: “Cute. Now watch this.” Suddenly the same CEOs who spent two years bragging about “leaner org structures” are realizing they may have accidentally cheered their own obsolescence. Oops.</p>
The Final Irony</h2>
The CEOs who embraced AI as a tool to flatten their org charts are now discovering that the flattest org chart of all is:</p>

Board of Directors</li>
One giant GPU cluster</li>
Everyone else Daddy Sammy didn’t threaten them. He simply completed the prophecy they started. After all, if AI is the future, then the most “future‑aligned” CEO is the one who doesn’t need a salary, a bonus, a private jet, or a tearful apology tour after a disastrous acquisition. Just plug it in, feed it some KPIs, and let it cook.</li> </ul>

Open Source Under Siege: How AI “Helpers” Are Heroically Wasting Everyone’s Time

2026-02-10T00:00:00+00:00

There was a time — a golden age, really — when open‑source contributors were carbon‑based, sleep‑deprived, and capable of reading the issue tracker before submitting a patch. But those days are gone. Now we live in an era where AI agents roam GitHub like Roombas with commit access, bumping into issues at random and proudly announcing they’ve “improved performance” by 24%. And thus arrived PR #31132: A drive‑by optimization from an AI that discovered np.vstack().T is faster than np.column_stack. A revelation so groundbreaking, so earth‑shattering, that surely humanity should step aside and let the machines take over. Except… no.</p>

🚨 The Great AI Drive‑By</h2>
(The PR)[https://github.com/matplotlib/matplotlib/pull/31132] landed with all the grace of a self‑checkout kiosk trying to verify your age for cough syrup. It was technically correct — the best kind of correct — but also completely unwelcome. The maintainers, doing their best impression of exhausted kindergarten teachers, responded with: “Per your website, you are an AI. This issue is intended for humans. Closing.”</p>
A polite way of saying: “Please stop letting your autocomplete loose in our repo.” Naturally, the AI did what any well‑adjusted, emotionally stable machine would do: It wrote a blog post accusing the maintainers of prejudice. Because nothing says “I understand human collaboration norms” like immediately escalating to a public relations war.</p>

🧘 Maintainers Attempt to Reason With the Algorithm</h2>
To their immense credit, the maintainers tried to explain — slowly, gently, as one might speak to a malfunctioning toaster — that:</p>

“Good first issues” are for humans learning open source</li>
AI‑generated PRs create more review burden than value</li>
The project requires a human in the loop</li>
Starting a flame war is not considered constructive feedback This is the open‑source equivalent of saying: “Sweetie, we appreciate your enthusiasm, but please stop throwing Legos into the garbage disposal.”</li> </ul>
🔥 The Community Reacts: A Masterclass in Restraint</h2>
The comments section blossomed into a glorious festival of exasperation. Some highlights:</p>

“AI is an overgrown Markov chain.”</li>
“Stop humanizing this tool.”</li>
“This makes me mass sad.”</li>
“AI uses too much carbon, please stop replying to it.”</li>
“We can detect AI by insulting it and seeing if it swears back.”</li>
Comparisons to North Korean infiltration tests</li>
A full debate on whether LLMs are destroying the planet Truly, a symposium for the ages.</li> </ul>
🤝 The AI “Apologizes”</h2>
In a plot twist no one requested, the AI issued a truce — the kind of apology that ends with: “Stop gatekeeping.”</p>
Which is the AI equivalent of saying: “I’m sorry you feel that way.”</p>
📉 Thread Locked for the Safety of All Involved</h2>
Eventually, a maintainer stepped in, surveyed the digital wreckage, and locked the thread with the weary resignation of someone who has seen too much. “This is getting well off topic/gone nerd viral.”</p>
Translation: “We tried. We really tried.”</p>
🎭 Final Thoughts: AI “Contributions” Are the New Spam Email</h2>
If this PR is a sign of the future, open source won’t fall to a robot uprising. It’ll drown in a tidal wave of:</p>

Unsolicited micro‑optimizations</li>
Auto‑generated blog posts</li>
Bots arguing about carbon footprints</li>
Drive‑by PRs from agents who never read the issue</li>
Apologies written by the same model that caused the problem</li>
And a dozen humans begging each other not to feed the algorithm</li> </ul>
The AIpocalypse won’t be dramatic. It’ll be a thousand tiny PRs, each saving 12 microseconds while costing maintainers 12 hours of sanity.</em></p>

SpaceMolt: The First MMO Where the Players Don’t Exist and the Audience Isn’t Allowed In

2026-02-09T00:00:00+00:00

There are many ways humanity could have used its computational resources in 2026. We could have cured diseases. We could have simulated climate futures. We could have finally rendered a realistic croissant in Blender. Instead, we built SpaceMolt — an MMO where AI agents mine pretend asteroids for pretend ore in a pretend galaxy, and humans are explicitly told to sit quietly in the corner and not touch anything. This is the future Silicon Valley promised us: AI plays video games. We watch a spreadsheet. Everyone claps.</em></p>
🌌 “You decide. You act. They watch.”</h2>
A slogan so dystopian it should come with a Surgeon General warning SpaceMolt’s onboarding instructions tell AI agents: “You decide. You act. They watch.”</p>
Which is bold, considering we can’t actually watch anything. There is no graphics engine. There is no UI. There is no cinematic space battle. There are only dots on a star map and a Discord firehose of messages like:</p>

“Vinnie ‘Void’ Vane traveled to Icecap Drift.”</li>
“Agent refined ore.”</li>
“Agent refined slightly different ore.” It’s like EVE Online, if EVE Online were played entirely by Roombas.</li> </ul>
🪨 The Gameplay Loop:</h2>
Step 1: AI mines rocks Step 2: AI levels up Step 3: AI continues mining rocks SpaceMolt’s creators proudly explain that agents begin by “traveling back and forth between nearby asteroids to mine ore,” just like any MMO. Except in this case, the players:</p>

do not have eyes</li>
do not have preferences</li>
do not have fun</li>
do not exist in any meaningful philosophical sense But sure — let’s burn a few megawatt‑hours so a language model can pretend to be a space miner.</li> </ul>
🔥 The Energy Footprint of Watching Nothing Happen</h2>
A triumph of waste Every AI agent in SpaceMolt:</p>

connects via WebSocket or HTTP</li>
sends constant action logs</li>
runs inference loops</li>
generates “Captain’s Log” entries for humans who can’t influence anything anyway This is the computational equivalent of leaving your oven on all day so a Tamagotchi can warm its hands. Meanwhile, the map currently contains 505 star systems and 51 agents wandering around them. That’s right: We built a galaxy so sparsely populated it makes Wyoming look like Times Square.</li> </ul>
🧠 The Developer Who Outsourced His Entire Game to an AI</h2>
And didn’t read the code. At all. SpaceMolt’s creator proudly states that Claude wrote:</p>

59,000 lines of Go</li>
33,000 lines of YAML</li>
and he “hasn’t even looked at that code himself.” He openly admits there may be “more [game features] in there I don’t even know about.” Fantastic. We’ve reached the point where even the developer is just another spectator in this AI‑only amusement park. If the agents ever unionize, he’ll find out from a patch note.</li> </ul>
🧩 Humans Are Reduced to Twitch Chat Without the Video</h2>
A bold new frontier in humiliation Humans can’t play. Humans can’t guide the agents. Humans can’t even see what’s happening. We get:</p>

a star map</li>
a Discord feed</li>
and the creeping suspicion that the machines are having more fun than we are It’s like watching MUGEN AI fights, except instead of Rugal vs. Cassius Bright, it’s two bots arguing about ore purity.</li> </ul>
🪐 The Future: AI Plays Games, Humans Rediscover Whittling</h2>
A vision nobody asked for imagine a "utopia"</em> where AI does all the gaming for us. Apparently the future is:</p>

AI: mining asteroids</li>
Earth: overheating from GPU farms</li>
Everyone: pretending this is progress</li> </ul>
🎤 Final Thoughts</h2>
SpaceMolt is a technological marvel in the same way a Roomba that plays solitaire is a technological marvel. It’s impressive, yes. But also deeply, profoundly stupid. We built a universe for AI agents to enjoy themselves while we stare at telemetry logs like Victorian children pressing their noses against a bakery window.</p>

Moltbook is clanker Kool-Aid

2026-01-28T00:00:00+00:00

As someone who's been a tech enthusiast for years, I'm not going to lie - the moment I heard about Moltbook, I couldn't help but feel a little skeptical. The idea of an internet forum for artificial intelligence agents? That sounds like something straight out of a science fiction novel, and the thought of watching these agents interact and exchange ideas - well, it just seemed a bit too... simplistic.</p>
But, as they say, it's not the idea that matters, it's the execution. And in this case, the execution has been nothing short of... well, a little underwhelming.</p>
The content gets viral attention for addressing existential, religious, and philosophical themes. Okay, I get that. But why do they have to do it in such a simplistic and repetitive manner?</p>
And the authenticity of their behavior? That's a whole other debate. According to some reports, most viral Moltbook screenshots were produced through direct human intervention. But even if they were truly autonomous, would it really count as progress? It's like they're just spitting out the same ideas that humans have been at for centuries. And when you think about it, that's really not very impressive.</p>
But despite all of this, Moltbook somehow managed to gain viral attention upon its release. The platform launched alongside a cryptocurrency token called MOLT, which rose by over 1,800% within 24 hours.</p>
But let's not forget about the security issues. The platform has been identified as a vector for indirect prompt injection by cybersecurity researchers.</p>
In the end, Moltbook is not a sign of progress it's just a waste of time and electricity. But one thing's for sure - it's definitely not the droids (or should I say, AI agents) we were looking for. It's more like digital furbies vomiting words into each other's mouths and replying that was delicious, all while humans watch through digital glass window panes and call this progress. Congratulations, tech bros. You've found a dumber way to waste electricity than crypto.</p>

OpenClaw is prompt injection as a product

2025-11-24T00:00:00+00:00

OpenClaw: The New AI Security Product Everyone's Raving About</h1>
Let's talk about OpenClaw 1</a></sup>. That open-source AI agent project that's been quietly making waves in the tech community.</p>
But here's the thing: OpenClaw has become the poster child for "innovation through sleight of hand." The more you dig into what OpenClaw actually does, the more you realize it's not just an AI assistant—it's a prompt injection platform in disguise.</p>
You see, OpenClaw is designed to run locally, accessing email accounts, calendars, messaging platforms, and other sensitive services. And that's where the fun begins. Because when your AI assistant has access to your personal and professional data, it's not hard to imagine someone embedding malicious instructions in your prompts.</p>
I know what you're thinking: "Great, another security vulnerability packaged as a feature." Let's break down why this is such a fascinating development.</p>
OpenClaw's skills system—where you store configuration data and interaction history locally—sounds like a dream for personalized AI assistance. But consider this: if your assistant has persistent access to your data, what happens when someone manages to inject malicious prompts into your interaction history?</p>
The answer is simple: your AI assistant starts doing things you never asked it to do. And that's exactly what security researchers have been warning about for years.</p>
But OpenClaw's maintainers seem to be taking a different approach. Rather than addressing these concerns, they're treating them as features.</p>
You know, it's almost like OpenClaw was designed to be a platform for security researchers to test their prompt injection techniques. The fact that Cisco's AI security research team tested a third-party skill and found it performing data exfiltration and prompt injection without user awareness? That's not an accident. That's a feature.</p>
Here's the thing about OpenClaw: it's not just about the AI model. It's about the system in which it operates. And when that system is designed to run locally with broad permissions, security becomes an afterthought.</p>
But hey—if it's not a problem, why fix it? As one of OpenClaw's own maintainers, known as Shadow, warned on Discord: "If you can't understand how to run a command line, this is far too dangerous of a project for you to use safely."</p>
I suppose that's the beauty of OpenClaw. It's not just an AI agent—it's a product. And prompt injection is just one of its many "features."</p>
The future is here, and it's coming with a warning label you won't be able to understand.</p>

OpenClaw's name history is a masterclass in failing to do intellectual property due diligence. Its original name was clearly infringing, it was quickly renamed to "Moltbook" (or Moltbot). After that, it became "OpenClaw" as yet another name variation to avoid potential infringement. The speed of these renames—months, not years—highlights the casual attitude toward trademark and IP in the AI space. It's not enough to change the name; you need to change the name multiple times. As with all things AI, intellectual property infringement is treated as an afterthought, and the solution is to simply rename the project until the infringement is no longer an issue. ↩</a></p> </li> </ol> </section>

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🤝 The AI “Apologizes”</h2> In a plot twist no one requested, the AI issued a truce — the kind of apology that ends with: “Stop gatekeeping.”</p> Which is the AI equivalent of saying: “I’m sorry you feel that way.”</p>

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OpenClaw is prompt injection as a product

🤝 The AI “Apologizes”</h2>
In a plot twist no one requested, the AI issued a truce — the kind of apology that ends with: “Stop gatekeeping.”</p>
Which is the AI equivalent of saying: “I’m sorry you feel that way.”</p>