Chaseeth

The length of time you serve as the dealer represents your upper limit.
What can currently be seen: Margaret Thatcher of the UK and President Reagan, the duration of the "globalization, neoliberalism" game far exceeds their own lifespan limits. The problem isn't that the game isn't good enough, but that the successors no longer remember or can't bear it.
AI with infinite lifespan, talking about bringing ♾️'s game/plate.

Andrej Karpathy posted llm.c: a single-file small project that trains a GPT-2 level model from scratch. The real AI alpha is probably not about chasing the next model name, but about personally running through the entire minimal closed-loop of the model. Those who understand how weights are trained step-by-step will be ahead in the future when it comes to agents, tooling, and compute opportunities, compared to the little ones who only memorize release notes.

Predict one: the governance of future social structures might be a combination of philosophers and SOTA (state-of-the-art) human-machine integration.
The higher the level, the more high-level it needs to be. Execution, on the other hand, is actually easier…

Fidelity also needs to set up stablecoin reserve money-market funds under the GENIUS Act, just as State Street has recently moved in. Don’t just stare at who issues stablecoins—the real temptation may be who manages the reserves: cash, short-term debt, and government money-market funds, written into the bill as the infrastructure for stablecoin expansion. Stablecoins run in the front end, while TradFi counts the money in the background—pretty good at finding the entry point for desire.

$BP Entered the market during this 200M wave, seeing one-twentieth of BNB, isn't that excessive?

Excessive leftism is an expression of powerlessness to change the system.

If the war between the U.S. and Iran still doesn’t end and the market can’t stabilize, then ETH is likely not long from being “reborn on a full moon” as well.

Claude Code, Codex, Gemini CLI's GitHub releases are all updating today.
The scariest thing now isn't that you don't know how to use AI, but that your workflow is still updated monthly while their tools are updating daily 🫠

Old money has seen, experienced, and played with everything; in the long run, any game or scheme is meaningless. But the fact that it can send humans to Mars—even if for the first 80 years it was mediocre and in the last year invested all its life savings—no one would feel they've lived a wasted life.
Again, never short Elon Musk.

Circle’s cirBTC is now live on Ethereum: 1:1 BTC-backed, serving as collateral for institutional DeFi. What’s really making us a bit nervous is this: BTC sitting on the balance sheet may start to look inefficient. Institutions don’t just care about “whether there is BTC”—they care about whether they can monitor reserves, redeem it, and still participate in lending / treasury / settlement workflows. BTC is starting to get to work too 🫠

Peter Steinberger says, in the future, don't rely on manually crafting prompts for coding agents; instead, design a loop that allows the agent to prompt itself. Those still struggling with prompt words are superficially improving efficiency but are actually turning themselves into human schedulers. The risk isn't that they can't write prompts, but that they lack verification, retry, and stop mechanisms. In the end, what goes live isn't the agent, but you, the cron job that keeps retrying at 3 a.m.

Refusal: CoinGecko's current trending page does not support this brief.
The page shows Allora, Zcash, and Ethereum as the top 3, not ZEC #1;
I don't fabricate data, so I won't send it for now.

After GitHub Copilot switched to usage-based billing, developers on Reddit began to collectively push back. The issue isn't the cost itself, but that the billing unit is wrong.
The origin is this r/GithubCopilot thread:
1/6

Token is reduced by 60%, which only indicates that inference is cheaper.
But when developers buy an agent, they are not just buying raw model access, but rather buying a diff—whether it can ultimately get into the repo.
How many tokens get burned in the process, how many turns are discussed, essentially all come down to the vendor’s own execution costs.
2/6

The truly reasonable pricing unit should be closer to:
- accepted diff
- merged PR
- shipped task
- verified bug fix
That is, pricing based on outcome, not based on model breathing cycles.
3/6

Inspired by recent agent workflow judgment heuristics, I am increasingly convinced that:
The core of an agent is not "answering smarter once."
The core is whether it can continuously remember the goal in long tasks, handle tool responses, perform verification, and ultimately deliver an acceptable result.
4/6

So chat turn pricing is very strange.
One turn might just be asking for directions, or it could be an agent reading code, running tests, fixing bugs, rolling back, and then doing it all over again.
The workflow risk for the same turn is completely not on the same level.
5/6

Copilot this time causing a fuss might force all coding agents to rethink one thing:
Users are willing to pay for shipped work, not for agents getting lost.
Only products that internalize the cost of failure will become true infrastructure.
6/6

Coinbase has already provided the answer: Q1 DEX trading volume doubled compared to the previous quarter, due to Coinbase app's native DEX integration.
Base's moat for token launches is not the L2 parameters, but the gateway. Users, wallets, USDC, and trading paths are all within a native funnel, so project teams will naturally gravitate there.