Sam on Chain

Most blockchains optimize blockspace. The Internet Computer replaces the cloud. Compute, storage and frontend run fully on-chain. No servers. No cloud vendors. No middleware. That’s how Web3 reaches real UX parity with Web2 — and why institutions are paying attention. This account explores on-chain infrastructure, not speculation.

Authentication is one of the weakest points in modern apps. Passwords leak. OAuth centralizes control. Wallet logins confuse users. Internet Identity shows what happens when authentication becomes protocol infrastructure instead of application code.

@dfinity The real value here is removing authentication complexity for developers. Secure login, delegation handling, and principal management are handled at the protocol level instead of custom backend logic.

New ICP Skill: Internet Identity. Auth is the part of your app you really don't want to get wrong. An AI agent can hallucinate in ways that silently break your whole app. The II skill makes sure it doesn't. Here's what's inside. 👇 1/2

@dfinity @Stemars877 Most dashboards show price. The NNS shows governance, staking dynamics, and network evolution in real time. That’s the difference between watching a market and participating in a protocol.

The new NNS app doesn't just look better - it shows you more: 🔹 Total locked 🔹 % of Total supply 🔹 Daily rewards 🔹 ICP price 🔹 Current max minting ... and others The network is constantly evolving — subnet updates, protocol upgrades, DAO launches, community motions. Now, you can actually see it all at a glance. → nns.internetcomputer.org

@dfinity The early internet scaled because thousands of independent operators ran pieces of the network. Now we’re seeing the same model applied to compute. When infrastructure becomes programmable, the network itself becomes the platform.

When infrastructure becomes programmable and composable, the network itself becomes a platform others can help run and benefit from. The Internet Computer cloud engines model doesn't just give developers a programmable cloud environment - they also create a product for the operators running the compute network. In a way, this echoes how the early internet expanded: thousands of independent networks building and operating their own part of the infrastructure, and benefiting as the network grew.

@dominic_w @QuantumPinkkk @dfinity Mission 70 getting approved is a big milestone. But what’s interesting is how fast the ecosystem is already adapting to it. Roadmaps change the future — builders usually start before it’s obvious.

@QuantumPinkkk @dfinity Use the link to the legacy app. Eventually there will be an sns.interne.. etc

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?👇

Every technology cycle starts the same way: First speculation. Then experimentation. Then real infrastructure. Most people only notice the first phase. Builders stay for the third.

Mission 70 is approved. That’s not just a roadmap update. It’s a signal of where this industry is heading: More compute on-chain. More AI running directly on protocols. More real applications. The internet isn’t just being decentralized. It’s being rebuilt.

@dfinity @monkey898898 Most people still think memecoins are just speculation. Meanwhile: They’re becoming programmable. Composable. Yield-generating. From passive tokens → active capital. That shift is bigger than most realize.

Who let the DOGE 🐕 out? We did: ckDOGE brings new functionality to DOGE that enables it to be more than just a symbolic, passive asset. It can now become active capital: • used in DeFi • integrated into onchain apps • potentially generating yield Fun fact: ckDOGE transactions are 10–100× faster and cheaper than native Several ICP ecosystem projects are already working on integrations. In the meantime, here's a demo 👇

We’re not early because of price. We’re early because the foundations are still being built. New primitives. New infrastructure. New ways to build software. By the time everything feels “obvious,” the upside is already behind you.

Most people think the next wave in tech will be another app. It won’t. It will be a shift in how apps are created, owned, and run. Fewer teams. More automation. On-chain by default. The interface stays the same. Everything underneath changes.

We’re entering a phase where software doesn’t just run. It builds. It adapts. It deploys itself. When AI agents start creating and using apps autonomously, the pace of innovation won’t be human-limited anymore.

@dfinity @monkey898898 @oisy This is what real adoption looks like. Not charts. Not narratives. But actually paying for everyday things. From speculation → to usage.

ICP payments are now live at SPAR. Pay for ice cream or lettuce with ICP, using @oisy wallet.

@dominic_w @X2worldtech We’re moving from users interacting with apps, to agents building and using them autonomously. That changes everything about how software evolves.

@X2worldtech Overwhelming majority of new canisters are now being deployed by caffeine.ai agents working to realize apps described by humans. In the future, agents will increasingly use the Internet Computer in pursuit of their own purposes AI participation in governance fitting

March 21 2017 — 8 years ago — I predicted that some voting neurons in the Network Nervous System (NNS) that orchestrates, configures & updates the Internet Computer, with full autonomy, will be controlled by AI, not humans. Expecting this to happen soon. medium.com/dfinity/future…

@dfinity Most people will see “10x faster signing.” Builders will see what it enables: Real-time cross-chain. Seamless UX. New classes of apps. Infrastructure upgrades change everything quietly.

Want to find out how the 10× signing boost was achieved? It’s actually pretty elegant. Get the details from our R&D team: youtube.com/watch?v=yVDtzQ…

ICP just removed a major cryptographic bottleneck: ▪️ 10× increase in Chain Key signing throughput ▪️ 100+ signatures per second burst capacity ▪️ Pre-signatures moved into replicated subnet state This means: ▪️Faster cross-chain interactions ▪️Better performance for Chain Fusion ▪️Infrastructure scaling for real-world apps

Most people are still chasing the next token. Meanwhile, the real shift is happening underneath: Compute moving on-chain. AI integrating directly into protocols. Infrastructure replacing platforms. By the time it’s obvious, you’re no longer early.

@dfinity Infrastructure upgrades like this rarely get headlines. But they’re exactly what turns experiments into real platforms. Scaling cryptography = scaling everything built on top of it.

@dominic_w Memecoins optimized for extraction. Infrastructure optimized for creation. Eventually the market figures out which one actually compounds.

I don't celebrate Pump.fun hitting $1B in revenue. It's emblematic of the cynical extraction machine that web3 became, to the detriment of its real potential. It's part of a dark lineage that traces directly back to Project SBF. finance.yahoo.com/news/pump-fun-…

Most people think the next AI breakthrough will come from bigger models. But scale alone isn’t intelligence. The real shift will come from systems that can: Reason Adapt Generate new knowledge That’s when AI stops predicting the world — and starts understanding it.

@dominic_w Interesting shift. For years the bottleneck was training compute. If inference becomes the dominant workload, the entire AI stack changes: Hardware Infrastructure Data generation The next wave may be about systems that generate knowledge, not just models that consume it.

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!

Every generation of the internet changed where software runs. Mainframes → PCs PCs → Cloud Cloud → ? The next shift isn’t another hosting provider. It’s software that lives directly on the network itself. No servers to manage. No infrastructure to maintain. Just code that runs.