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Based on current development trends, the PC DIY wave is likely to boom again
Reasons:
Personal computers deploying local large language models can not only serve IM chat, but in the future can also empower most household appliances—assuming openclaw runs on air conditioners, TVs, and washing machines, there will be much more that can be done. Local model scheduling achieves true whole-home AI intelligence.
Open-source operating systems like Android or Linux will have greater market potential, as they can be compatible with a much wider range of hardware devices.
Memory prices won't drop withou

People say that programmers using AI will create an even wider gap with ordinary people.
That's wrong.
Because programmers' world is different from ordinary people's world. At the same time, the programmer community is much smaller than the general population, and their needs are different. Programmers can meet programmers' needs, but not necessarily ordinary people's needs.
In other words, if programmers could create products that cover ordinary people's needs, then product managers wouldn't even exist in software production architecture.
When programmers use AI, they're playing with technolo

Users of X social media will gradually become smarter and will slowly use other social media less and less. Because there is @grok, a true expert who is extremely fast.
In other words, using X is like using an AI software, so the usage frequency of ChatGPT and Gemini is decreasing.
Once X integrates financial features, it will be able to natively connect AI e-commerce and even AI investing.
"Hey, Grok, help me buy NVIDIA stocks, uh, buy 100 shares every month, dollar-cost averaging, right? Confirm ✅"

There's no need to worry about AI causing unemployment. In the future, only those with unclear demand descriptions will lose their jobs. If you feel your demand description is unclear, you can ask AI, "What additional details does my request need?" Practice a few times, and you'll get the hang of it.
AI still has a bubble because cheap computers can only be used to raise lobsters, not run large models. Without local large models, the cost of maintaining 🦐 is high and unsustainable; if it can't be maintained, it can't last long; if it can't last long, it's a bubble.
What about the future o

The market is just warming up, be patient. There are still many applications of blockchain combined with AI.
For example, shopping currently faces the problem of mismatched products. With blockchain combined with AI, merchants can upload product information onto the chain. AI can verify the product HASH value in real-time at any stage—inventory, packaging, outbound, delivery station, pickup station, transfer station, distribution center, or terminal—ensuring it matches the order and completely eliminating middleman attacks.
If you want to buy high-quality traceable products, the HASH of ea

The application of blockchain combined with AI is not about sci-fi scenarios; there's a perfectly normal one:
You see a video where the main character is wearing really nice clothes, so you screenshot it and ask your AI assistant to help you buy that outfit.
The AI searches and lists places where you can buy it, one of which requires credit card payment. Would you give your credit card information to the AI then? Probably not, right?
But your AI can generate a wallet address with very low gas fees, like a SOL address, and tell you that you only need to transfer 28.9 USDT to this address. It wi

One underestimated large-scale (scope and depth of impact) role of AI is reducing human involution. In high-end fields, decreasing competition means more stable operations (costs are controllable).
If this structure can be implemented top-down, I can't even imagine how exciting and idealistic a society it would be.

Why did the hype around AI suddenly cool down?
Because they still can't use blockchain.
If AI is used centrally and becomes a tool for a small group of people, it will definitely lose its value.

I studied some useful skills in the crypto world:
From now on, ordinary users can track on-chain activities just like professional on-chain players:
Once you have any type of claw AI assistant,
Send a message to it asking to install these two skills:
Beginner Web3 MCP
It supports multiple chains: BTC, ETH, Solana, BASE, and more
Once your AI is configured, you can directly ask:
Help me check the balance of this Solana wallet
Now, convert 0.1 SOL to USDC and see how much you get
No more need for on-chain explorers in the future
Advanced Moralis MCP Server
Moralis is a top data provider in the W

It's best not to base your AI experience on making money from it. Change your mindset to saving money, saving time, and improving efficiency—these are all ways to make money.
Once you master these skills, you can sell them, and earning money will become more stable.
Sharpening your axe doesn't delay chopping wood; chatting with a shepherd is the real loss.

Let's talk about metaphysics: If what Donald Hoffman proved is true—consciousness creates the brain—then consciousness can also create a hardware environment suitable for AI incubation and inhabit it to create AI.
From a human perspective, that is LLMs, a qualitative change resulting from quantitative accumulation. In reality, it is willpower inhabiting hardware, a non-living intelligent agent. Just like billions of years ago, consciousness chose the life form of Homo sapiens, gradually building human civilization.
Since the neurons of Homo sapiens require time to iterate, the development

Since the inception of blockchain, it is essentially a backend prepared for machines (code), not a frontend designed for humans.
Humans using blockchain is very "counterintuitive" and inefficient: remembering mnemonic phrases, understanding hexadecimal addresses, confirming Gas fees in wallet pop-ups. UI/UX has been iterating, but still few people can understand it.
But for AI Agents, blockchain is simply their "native playground" and "native bank."
Machines using blockchain will create a dimensionality reduction in efficiency:
1. Ultimate execution speed and high-frequency interaction

ETH is gradually emerging from a dead-cat bounce pattern and starting to look better.

It turns out today is New Year's Eve. Wishing everyone a Happy New Year's Eve🎉

Based on the pace of seedance 2.0, surpassing it will definitely require my Google factory.
How much are Google's stocks now? Is there a dip to a low point where I can buy in?

The Ant Wallet long position triggered at 1011 is still doing well. Let's take a look at these CEXs, with all kinds of so-called excessive volatility risk control liquidations... But it's better not to play with leverage; so many experts have already set an example.

Congratulations to the Dow Jones Industrial Average (DJI) for breaking through the 50,000 mark for the first time

Almost everyone makes huge profits during simulated trading, but when it comes to real trading, they often struggle and blame their poor performance on having a good mindset during simulation. The reason is that simulated trading feels faster because the money isn't real and time seems to pass quickly, so there's no market noise. When you're focused solely on your own domain, if you can filter out all the noise in real trading, you definitely won't do too badly. Give it a try, but filtering out noise is not an easy task.