🚨: Netizens have been left speechless after learning just how complex and detailed computer chips are, this footage displays the engineering under a microscope, ‘it is the closest thing to alien nobody is aware of.’
We are so cooked.
Anthropic just accidentally leaked its most powerful AI model because someone forgot to lock a blog CMS. They’re warning it could “outpace the efforts of defenders” in cybersecurity.
Do you understand what just happened??
Close to 3,000 unpublished files were sitting in a publicly accessible data store.. Draft blog posts, PDFs, details of a secret CEO retreat at an 18th-century English manor. Anyone could find them. Anthropic’s response? “Human error.”
The leaked documents describe a new model tier above Opus. Dramatically better than anything that exists.
Their own internal draft says it’s “far ahead of any other AI model in cyber capabilities.” Anthropic confirmed it’s real. They called it “a step change.”
They are terrified of their own model.
CrowdStrike dropped 7%. Palo Alto Networks fell 6%. Cybersecurity ETF down 6% in a single session, now 20%+ on the year. Bitcoin slid from $70K to $66K overnight. $20 billion in market cap vaporized over a draft blog post about something that hasn’t even shipped yet.
A $380 billion company with $20+ billion in revenue is telling you, in their own leaked words, that the thing they built will break the internet’s defenses faster than anyone can patch them.
They wrote that down. In a blog draft. Then left the blog draft unlocked on the internet.
Every script kiddie with API access is about to become a state-level threat actor.. Every firewall vendor is about to become a legacy vendor.. Every “we take security seriously” banner on every SaaS login page is about to age like milk.
Sleep well tonight.
OpenClaw becomes 100x better when you build it a Mission Control
Mission Control is a custom dashboard that lets your Claw build any tool it needs
Without one, your OpenClaw is so much worse
In this video I go over my ENTIRE mission control and show you how to set up your own
Promiscuity and adult content creation are the female evolutionary equivalents of violent criminal behaviour in men.
The function of both: exploit one’s biological advantages to prey on the weak and extract resources.
The consequence of both: societal decay.
Let me explain...
The double slit experiment has haunted physicists for over 200 years.
When you shoot a single photon through two slits in a barrier, it doesn't choose one hole. It goes through both simultaneously, interferes with itself, and lands on the screen as a wave pattern, as if the particle somehow knew both paths existed and took all of them at once.
The moment you place a detector to watch which slit it goes through? The wave pattern vanishes. The photon suddenly behaves like a solid particle. The act of observation collapses the quantum superposition into a single definite reality.
Physicists called this "wave-particle duality" and for generations, we treated it as a quirk of space. A particle's relationship with physical barriers, physical gaps, physical measurement.
What just happened changes the entire frame.
Researchers didn't use slits carved into a material. They used slits carved into time itself — ultra-short switching windows in the electrical properties of a material, flickering on and off at trillionths of a second. Light passed through these temporal gaps the way it would normally pass through spatial gaps. And the interference pattern still appeared. Not across space. Across frequency.
Sit with that for a moment.
The wave behavior of light, the phenomenon we always associated with light spreading through physical space, reproduced itself in the time dimension. The photon interfered with its own past and future states the way it normally interferes across left and right positions.
What this quietly confirms is something theoretical physicists suspected but had never demonstrated: space and time are not just mathematically symmetric in quantum mechanics. They are physically interchangeable in ways that produce identical quantum behavior. The "slits" are interchangeable coordinates. The universe doesn't distinguish between a gap in space and a gap in time when it decides how reality should unfold.
The implications of that sentence are almost impossible to absorb without stopping completely.
We built our entire intuition about quantum mechanics around the geometry of space — particles passing through openings, waves spreading outward, interference happening across a physical screen. Every textbook, every lecture, every thought experiment uses spatial metaphors because that's the dimension we experience as "real" and navigable.
Time, by contrast, we experience as a river we're trapped inside — always moving forward, never able to go sideways in it. We don't experience temporal gaps the way we experience physical ones. A door has two holes, you can walk through either one. A moment in time doesn't seem to have "holes."
Except for a photon, apparently, it does.
The temporal slit experiment forces a deeply uncomfortable update to how we model light, matter, and information. If wave-particle duality operates across time the same way it operates across space, it means quantum superposition — that strange state of "being in multiple states simultaneously until observed" — is not just a spatial phenomenon. A particle can exist in multiple temporal states simultaneously. Its wave function doesn't just spread left and right. It spreads forward and backward in time.
This connects to something that's been sitting at the edge of quantum mechanics for decades: the block universe theory. In Einstein's relativity, past, present, and future all exist simultaneously as coordinates in a four-dimensional spacetime fabric. "Now" is just the slice of that fabric you happen to occupy. Physicists who take this seriously argue that the reason quantum mechanics is so strange is that particles already operate in the full four-dimensional block — they're not choosing a path through space, they're tracing a path through spacetime, and what we call "probability" is our limited three-dimensional perception failing to see the complete trajectory.
The temporal slit experiment edges us closer to that picture being literally, physically, measurably true.
And then there's the measurement problem. The original spatial double slit experiment breaks your brain because the act of looking destroys the wave behavior. Nobody has fully agreed on why. Some say the observer collapses the wave function. Some say the detector entangles with the photon and creates decoherence. Some say the universe splits. The temporal version of the experiment opens a new front in that war. When you measure a temporal slit — when you try to determine which moment the photon passed through — does the interference across frequency collapse the same way interference across space does when you watch it?
That experiment hasn't been done yet. The answer will either confirm that time and space are truly symmetric at the quantum level, or it will break the symmetry and reveal that time has a fundamentally different relationship with observation than space does.
Either outcome rewrites something important.
We think of physics experiments as things that happen in laboratories, relevant to scientists with particle accelerators and cryogenic equipment. But every foundational shift in quantum mechanics eventually rewires technology. The photoelectric effect sounded like a curiosity in 1905. It built every solar panel and digital camera in existence. Quantum tunneling sounded abstract. It gave us the transistor, and therefore every computer.
Wave-particle duality operating across time opens the door to temporal interference as an engineering tool. Controlling how light and matter interfere across time gaps — not space gaps — could produce entirely new forms of signal processing, photonic computing, and quantum communication that don't currently exist even theoretically.
The universe keeps revealing that the constraints we assumed were fundamental were just the limits of our instruments.
Time always looked like a wall.
Turns out it was a slit all along.
Introducing Perplexity Computer.
Computer unifies every current AI capability into one system.
It can research, design, code, deploy, and manage any project end-to-end.
From the streets to the garage, Elvis Okonji built his logistics empire by living the grind, not just managing it.
On this episode of TCT, the MD/CEO of GPC Energy & Logistics shares raw lessons on survival, sacrifice, and what it really takes to run one of the toughest businesses in Nigeria
Don’t miss it.
@Ol0ye 2020, the people my Dad gave bikes to, during the endsars protest, rode the bikes (5) from Lagos to Saki, OYO state.
Till today we didn’t recover any of the bikes.
Only got part payment for 1 because we saw the guarantor.
I was born into the transportation business and one of my first lessons was you cannot trust the good conscience of drivers to do the right thing.
You need ruthless enforcers who they fear more than they want to take advantage of you.
Once you buy somebody a car/bus/truck, you're no longer investing. You're helping them solve their own problems. They'll always tell you something is wrong with the vehicle and find a way to make money for themselves.
This problem is not a Nigerian problem. In the entire logistics industry, drivers are the No1 problem. Even in the US where I own a trucking LLC. My dad was our first driver. He trained the next driver who trained the next. Picking a random driver off the street is like setting money on fire.
You can solve for fuel cost getting more expensive by increasing the cost of delivery. You're not the only one who has to buy expensive fuel. Everyone else has to do the same to stay in business.
But you can never out-innovate dishonest drivers.
Maybe in 2050 when we have self-driving trucks in Nigeria.
'A Brief Disagreement' by Steve Cutts is a brilliant animated short depicting a visual journey into mankind's favourite pastime throughout the ages.
Meaning — humanity's inclination to fight each other.
David Kipping says something fundamental has shifted in science.
At a closed meeting at the Institute for Advanced Study (IAS), top physicists agreed AI can now do up to “90%” of their work and may soon push discovery beyond human understanding.
“I don’t know that I want to live in a world where everything around me is just magic.”
He says the best scientific minds on Earth are now holding emergency meetings about what comes next. This isn’t speculative anymore. It’s really happening.
Einstein wrote the Field Equations. Schwarzschild found a singularity at r = 0. For 50 years, it was dismissed as an artifact of perfect symmetry. Critics assumed that stars would never fully collapse. Roger Penrose showed that singularity was not just a failure of maths but a real physical object — a blackhole.
1D Gaussian wave packet evolve under the non-relativistic Schrödinger Equation, brought to life through stunning visuals and beautiful music composed by Erik Norman.
A few random notes from claude coding quite a bit last few weeks.
Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.
IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.
Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.
Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.
Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.
Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.
Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.
Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.
Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?
TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.
🚨: This isn’t our Galaxy. 😳
You’re looking at billions of stars in the Andromeda galaxy, captured by the Hubble Space Telescope—and almost every one likely has planets. Let that sink in.