Surprised with how good the comments on github gists are. A lot more helpful, insightful, constructive, a lot less AI... Is it the user community? The markdown format? The (lack of) incentives?
Suddenly feeling like I should gist more.
@github consider competing with X (?)
Karpathy's idea of LLM Knowledge Bases went viral: 18M+ views.
Now everyone wants to build one but many are facing problems, especially non-technical folks.
Here is a step-by-step tutorial on setting up an LLM Knowledge Base for non-technical folks:
- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
🙌 Andrej Karpathy’s lab has received the first DGX Station GB300 -- a Dell Pro Max with GB300.
💚 We can't wait to see what you’ll create @karpathy!
🔗 https://t.co/8ct5QZ3frS
@DellTech
What a breathtaking semifinal!
Jacob Bethell fought till the very end chasing 254 — pure grit, class and fight from the young gun! Massive respect But India, you absolute warriors! Semis and you rise like champions!
Sanju Samson… WHAT AN INNINGS! That knock was pure magic and took us home straight into the final! #INDvENG #SamsonTheFinisher #BethellFoughtHar #sanju
SHOCKING: 99% people using Claude are barely scratching the surface.
Right now, the entire internet is screaming “Claude, Claude, Claude”...
But here’s the truth: just chatting with it won’t change your life.
To unlock its real power, you need to master:
• agentic workflows
• Claude Code
• skills, automation & system-level usage
I spent 100+ hours researching and compiled the best Claude resources from across the entire internet — videos, repos, guides, books, and papers.
I’ll give it to only 4,500 people.
To get it:
1. Follow me MUST (so i can dm)
2. Comment “Claude”
3. I’ll DM you the document 📩
If you don’t follow or comment, you won’t receive it
He has called AI a "genie out of the bottle" with risks comparable to nuclear weapons, saying it "scares the hell out of me."
He's warned about AI deepfakes/scams (e.g., fake videos of himself) and admitted he doesn't fully understand the technology well enough to bet big on pure-play AI companies like Nvidia.
This aligns with his "circle of competence" rule: only invest in businesses you deeply understand, avoid hype/bubbles.
https://t.co/a0sNIur0OF
Edge intelligence is the future because physics, economics, and autonomy requirements all push computation toward the source of data.
DeepGrid-like systems represent the logical endpoint — a coordinated, decentralized intelligence layer embedded across the real world.
Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry:
It's not competition. It's not regulation. It's decentralisation.
"The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center."
He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training.
Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users.
But the real unlock? Test time training.
@AravSrinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks.
"Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do."
The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain.
And if that future arrives, the economics of centralised infrastructure start to collapse.
"That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people."
The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.
Naval's first warning:
AI eats from the edges first.
→ Copywriters
→ Junior analysts
→ Customer support reps
Entire entry-level ladders collapse overnight.
Jobs don't vanish. They evolve unevenly, brutally, and fast.
MIT Technology Review has confirmed that posts on Moltbook were fake.
Just a few days ago many AI influencers (including Andrej Karpathy) had said that the website was "the most incredible sci-fi takeoff".
It wasn't.
The "taking over humanity" posts were human-generated. The top downloads were mal-ware (human generated).
It was a phishing website dressed up in AI hype.
If you are worried about AI taking over the world in a few years, please don't. There is no research basis for that opinion.
Antrophic and OpenAI want you to beleive that they are just months away from AGI. Because it results in free marketing, boosting their stock value.
Stay skeptical, stay safe :)
While you slept last night, completely still in your bed, our galaxy moved millions of kilometers through the cosmos. You woke up in the same room, on the same planet, yet unimaginably far from where you were the night before.
The Milky Way is not drifting quietly through the universe. It is racing through space at around 600 kilometers per second, carrying billions of stars, planets, and everything on them along for the ride.
It is a good reminder that even when life feels motionless, you are always in motion.
Stay connected,
Follow Gandalv @Microinteracti1
@elonmusk I am sure 3 billion humans will support in this endeavour.
Crimes against children are unforgivable. Pedophiles and child rapists must be identified, prosecuted without delay, and put behind bars for life. Justice is not revenge—it is protection. Humanity stands with you united to defend the innocent and protect the unprotected. We know Children protection come first for you.#ElonMusk thank you for the stand.
Nobody has fought harder for full release of the Epstein files and prosecutions of those who abused children more than I did, knowing full well that the legacy media, far-left propagandists and those who are actually guilty would:
1. Admit nothing
2. Deny everything
3. Make counter-accusations against me
I knew that I would be smeared relentlessly, despite never having attended his parties or been on his “Lolita Express” plane or set foot on his creepy island or done anything wrong at all.
Nonetheless, the extreme pain of being accused of being the opposite of who I am was worth it.
The strong must protect those cannot protect themselves, especially vulnerable children. I will gladly accept any amount of future pain to do more to protect kids and give them a chance to grow up and have happy lives.
🚨 Your brain is running on just 12 watts right now while processing this sentence. An AI system would need 2.7 billion watts to do the same thing.
That's not a typo. The human brain operates on roughly the same amount of power as a dim light bulb, yet it can recognize faces, solve complex problems, create art, and experience emotions simultaneously. Meanwhile, artificial intelligence systems require massive data centers consuming enough electricity to power entire cities just to simulate a fraction of what your brain does effortlessly.
Think about what your brain accomplished just reading this far. It decoded symbols into meaning, connected new information to existing memories, probably triggered some emotional responses, and maybe even started forming opinions about AI energy consumption. All while maintaining your heartbeat, breathing, and thousands of other bodily functions. Total power consumption: 12 watts.
The most advanced AI systems need server farms filled with thousands of high-powered processors, industrial cooling systems, and backup power supplies. They consume roughly 225 million times more energy than your brain to perform similar cognitive tasks. It's like comparing a bicycle to a freight train in terms of efficiency.
This incredible disparity reveals just how remarkably evolution has optimized biological intelligence. Millions of years of natural selection created a thinking machine so efficient it makes our most advanced technology look primitive and wasteful by comparison.
Your smartphone uses more power than your brain while being infinitely less capable. Every thought you're having right now represents the pinnacle of energy-efficient computing, wrapped in three pounds of biological tissue that somehow generates consciousness, creativity, and dreams.
Nature got there first, and we're still trying to catch up.
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over".
To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk.
That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented.
This brings me again to a tweet from a few days ago
"The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live.
TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
Breaking:
China Becomes First Country in the World to Hit $43 Trillion GDP (PPP)
95% of people in China now own their own homes.
The Largest economies in the world, by GDP ( PPP).
1. 🇨🇳 China — $43.49 trillion
2. 🇺🇸 United States — $31.82 trillion
3. 🇮🇳 India — $19.14 trillion
4. 🇷🇺 Russia — $7.34 trillion
5. 🇯🇵 Japan — $6.92 trillion
6. 🇩🇪 Germany — $6.32 trillion
7. 🇮🇩 Indonesia — ~$5.4 trillion
8. 🇧🇷 Brazil — ~$5.2 trillion
9. 🇫🇷 France — ~$4.7 trillion
10. 🇬🇧 UK — ~$4.6 trillion
11. 🇹🇷 Türkiye — ~$4.0 trillion
12. 🇮🇹 Italy — $3.82 trillion
IMF January 2026 WEO Update data):IMF Jan 2026 update: Global real GDP to grow 3.3% in 2026 (up slightly from prior forecast). In absolute added output (PPP terms):
China: ~$1.7T boost
(41 trillion gdp ppp terms)
India: ~$1.1T
(17 trillion gdp ppp terms)
US: ~$0.64T
(30 trillion gdp ppp terms)
China + India = over 43% of world growth. Emerging Asia powering the planet! #Economy #IMF #China #India