Dokmai IC

caffeine.ai locking in 🍿

🔴 ICP CLOUD ENGINES & BIG TECH The business case for BigTech embracing the cloud engine model IS INSANE THIS IS HOW ICP ACHIEVES MASS ADOPTION A Cloud Foundation Production ☁️📽️ $ICP $CLOUD ☁️♾

@Nexo When are Nexo physical cards available? 💳 #Nexo #Cards

Never put all your eggs in one basket, right? But what if it was about the basket all along? 🧵

"The next wave of AI-powered cybersecurity attacks will be like nothing we’ve seen before." Internet Computer technology creates tamperproof clouds using mathematically secure networks. cnn.com/2026/04/03/tec…

🚨 Why the hell is $ICP still ranked #51?! Because people are fucking stupid and don’t understand how $ICP actually works or how insanely powerful it is! Wake up, idiots. The real ones already know. 🔥

🔴 CHANNEL UPDATE I will be starting a private channel for a lot of my educational content and all Q&A (here's why ⬇️) $ICP $CLOUD ☁️♾

Rebuilding the Internet: Pierre Samaties on Web3, AI & Digital Sovereignty youtu.be/kFgQl1xxM5k?si… via @YouTube

A reimagined ICP governance experience is live. Today, the governance team is launching a brand-new app designed to make participating in the NNS simpler, faster, and more intuitive. Cleaner UX. Streamlined flows. Built for everyone. Why was this needed?👇

🚨 BREAKING: Mission 70 on $ICP has officially PASSED!

@Chris_unit_ted นานมากแล้ว ไม่คิดว่าจะกลับมาฮิตขนาดนี้

Watch carefully👀

@Rainmaker1973 Strong

Post below the first word you see.

Interesting! DFINITY researchers have found a way to enable new Internet Computer GPU nodes to run: — frontier LLMs (not just neural networks as today) — competitive speed & cost — inference verifiable i.e. "onchain" Notes...🧵

@scottsummers @idunno_maan Exact. Most important point though, is that within the competitive sweet spot (70B open weights models initially), both speed and cost is competitive with cloud, with cost often significantly lower, while verifiable inference is extra value = decentralization as real *benefits*

SPAR now accepts $ICP for payments in Switzerland in more than 350 stores using OISY🇨🇭 Probably nothing...

@BobbyO_ @bighab247 Bought at launch ($350-$450) and never looked back. Just kept DCA-ing through the volatility. Proudly compounding my 8-year stake and haven’t sold once! 🔥♾️

@bighab247 I think my first was august 2021. Glad to see a lot of people that came in 2023-24 still here. Y’all have survived an entire bear market imo. Bc we’ve essentially had two consecutive bear markets.

When did you buy your first $ICP? Post in comments. 101 $ICP @ $17.63 almost 2 years ago to date. Not gonna lie. I sold them at a loss like around $11. And that's okay. I have more of them now. 😎

NVIDIA showcasing new "interfence-only tech" @ GTC in next few days (building on Groq acqui.) The pending earthquake I predicted in 2024: inference will become key to training, and many that are investing heavily in trad GPU infra will get caught out and by this coming shift. Why? There is a shortage of fresh training data to help with scaling intelligence through pretraining. To solve this, CoT reasoning will be applied within agentic architectures to perform research that axiomatically generates discoveries and insights — with such frameworks validating empirical assumptions and reasoning to prevent the generation of training data based on hallucinations or faulty thinking. New frontier knowledge insights will be formulated for use as training data in ways that both help embed new knowledge in model weights, and increase embedded "intuition," which directly supports the notional "intelligence quotient" that can be ascribed to textual synthesis by LLMs. Inference-generated training data will prove instrumental to advancing frontier LLM capabilities. Meanwhile, its generation will involve vast amounts of inference computation, and interfence-only ASICs (application specific integrated circuits) will be required to do it competitively. The only question is when agentic frameworks and LLM capabilities will advance sufficiently to make this possible. My own experiences applying agentic frameworks at work in recent months make me think that agentic generation of training data at scale may not be that far off. This is definitely something tech firms investing heavily in do-it-all GPU chips and data centers specialized to host them should think about. Once end-users get a taste for inference on ASICs, which can be 10X faster compared to the latest GPUs, they're also not going to want to do inference on anything else, at least for chat and code generation, which are very time-sensitive tasks — for example, caffeine.ai plans to adopt ASICs as soon as possible. It's a shame NVIDIA bought Groq, because competition is needed to advance this sector, so all eyes on Cerebras and their dinner plate sized chips!

@MastrXYZ |￣￣￣￣￣￣￣￣￣￣￣￣￣|       #InternetComputer ❤ |＿＿＿＿＿＿＿＿＿＿＿＿＿|                     \ (👀) /                       \      /                        ——                        |     |                        |_   |_

A stupid question, asked a thousand times but not discussed recently. Which chain do you currently identify with the most, or which one do you find the most appealing? And where would you park your money right now? Why?

Timeline cleanse! Don’t know about you, but today has been rough. Think we can use a smile. 😃

#Mission70 has moved into the realm of implementation. The 1st ICP pull request has hit GitHub. More developments coming 🔥 github.com/dfinity/ic/pul…