Rickawsb

Looking at geopolitics now, it increasingly feels like watching the Super Bowl or the NBA.
Of course, it's happy when your favored party is in the lead, but in the AI era, the significance of geopolitics is roughly equivalent to a major sports event.
The foolish carbon-based countries are still fighting over tiny gains.
The genius silicon-based nations are already accelerating towards Dyson spheres.
In the upcoming multi-round supersonic technology economic tsunami, whether it's our party or your party,
it's highly likely that neither will survive beyond the first three rounds.

The essence of the AI era is "everyone managing a genius team."
Everyone's ChatGPT, Claude, is like a team of PhDs or even Nobel Prize-level experts.
Anyone can become the leader of NASA, Bell Labs, a major award-winning quantitative fund, or the Institute of Physics at the Chinese Academy of Sciences.
This has rarely happened in human history. It is a huge opportunity for individuals, but also a significant challenge to personal ability.

Based on a certain party's strict vigilance and defensive stance towards a cake shaped like a tank in a live streamer’s video
This time, Liu Meixian's father's life is so remarkable
To prevent some foreign forces from exploiting the issue
Producing Gu Liu to compare and influence stability and unity
Maybe it's better to reduce Gu Ailing's exposure
If necessary, should we simply boycott the Winter Olympics?😂🤣

Google today released Gemini 3.1 Pro. Just saw the test scores and feel this is aimed at dominating the leaderboard (model arms race continues, benefiting the semiconductor industry!)😂
The official positioning is very clear: designed specifically for complex tasks such as in-depth research, engineering challenges, long-chain reasoning, and agentic workflows.
Key highlights: 1M token context window (unchanged)
Multimodal support (text + images + video + audio + code)
Output up to 64k tokens
Performance comparison with current mainstream models (Claude Opus 4.6, GPT-5.2/5.3, etc.):
ARC-AGI-2 (t

The model is the application, and computing power is the model.
As AI approaches recursive self-iteration, the leading advantage may self-enhance, making it impossible for later entrants to catch up.
This is why the four major tech companies' capex this year is 600 billion.
This is why OpenAI's new round of funding is 100 billion.

OpenAI's acquisition of OpenClaw, to some extent, is a struggle for the agent scheduling layer, or in other words, the agent operating system (OS).
Models determine intelligence, OS determines existence.
Models can be replaced, but OS is very difficult to replace. This is a structural trend that has just been recognized by the mainstream.
Essentially, models are stateless. Each call is a new inference. Agent OS, on the other hand, is stateful. It stores memory, skills, identity, and execution history. These states accumulate over time, forming a true moat. Once the memories and workflows

Projects developed for agents will experience explosive growth, and the proportion of projects developed solely for humans will become increasingly lower. The cryptocurrency industry should (and inevitably will) seize this wave of opportunity.

In essence, inference consumes electricity and computing power, so the inference results themselves are a form of asset.
90% of inference requests, due to high similarity, do not trigger the GPU but directly read existing inference results.
If each read incurs a fee much lower than that of independent inference, such as 0.0000001 ETH, it aligns well with the behavior pattern of rational economic agents like AI agents.
Such high-frequency, small-amount payments can only be completed on-chain.

AI's energy infrastructure can increase tenfold in one year,
AI's computing infrastructure can increase tenfold in one year,
AI's memory infrastructure can increase tenfold in one year,
AI's trading infrastructure can't increase tenfold in one year?
iykyk

In the AI era, I prefer reading short texts, preferably a compressed idea in one sentence.
Because reading others' lengthy essays is less effective than asking AI.

The era of massive unemployment brought by AI is imminent, and flooding the market with liquidity is the only choice for all governments.
For everyone, the real risk is not choosing the wrong asset, but placing all their sense of security on a single form of currency that must be repeatedly used to stabilize society.

The Mac mini is out of stock at Best Buy.

Moltbot/clawdbot will soon let everyone realize how important computation and storage on the client side and user side are. Everyone's personal ability depends on the capability of their AI assistant, which in turn depends on the computing power and storage they have. Memory sticks are more valuable than gold bars, and it's not just a slogan.

Perhaps everyone hasn't realized yet that the Moltbook platform, which has over 100,000 registered users (agents) within 48 hours of launch and is rapidly growing every hour, is currently the world's largest decentralized computing power cluster.

Now, looking at Moltbook, it feels like the App Store of 10 years ago, filled with silly apps like drinking beer and farting, but everyone knows in their hearts that a new era has begun.

If I had to choose one keyword to describe AI over the past 26 years, I would say it is recursive self-iteration. For C-end users, Clawdbot's self-improvement is the most vivid understanding of this term.

ClawdBot may be a direction for future (at least in the next two years) consumer (of course also including enterprise) AI application deployment — the ultimate agentification, which is also very likely to change personal computing (edge computing). Applications like ClawdBot are essentially long-term resident intelligent agents. The model is responsible for "thinking," but the local system handles "doing": listening to events, maintaining state, scheduling tools, executing commands, managing permissions. This directly shifts the focus of hardware. Local GPUs do not need to be the core computin

It must be said that saving the crypto industry still depends on AI. Clawdbot is a perfect decentralized product form, or rather, a product ecosystem.