In the era of large models, everyone is competing over chip performance and compute power. But what actually drags training and inference into the mud is often the underlying “environment puzzle”!

Microsoft and Tsinghua University recently published an interesting empirical study that turns its attention to infrastructure at the very bottom of the large-model stack: GPU kernel libraries. The researchers dug through 300 closed GitHub issues across seven mainstream GPU kernel libraries and analyzed, one by one, the causes of the errors that leave engineers pulling their hair out.

Many people m

Why Are Traders More Likely to Underestimate Risk After a Winning Streak?

A winning streak is usually something to celebrate.

But in the trading market, getting several calls right in a row can quietly change the way someone makes decisions.

Some start increasing their position sizes, others loosen their stop-losses, and some think they have figured out how the market works. The risk has not disappeared; recent success has simply made it harder to see.

I. Why Can Profits Change Risk Perception?

1. Mistaking short-term success for long-term skill

Several consecutive profitable trades may

How to Manage Your Crypto Assets More Securely: From Wallet Setup to Everyday Security Habits

In the Web3 world, owning crypto assets and managing them securely are two very different things.

You may have chosen a reliable wallet or be using a well-known trading platform, but that does not mean your assets are absolutely safe. Incorrect approvals, exposed recovery phrases, phishing websites, infected devices, and operational habits that lack risk controls can all put digital assets at risk.

Effective asset security is not about relying on a single tool, but about establishing a security sys

Guys, I made it!

At this very moment, I’m overwhelmed with emotion. After countless sleepless nights, I finally passed today, right now.

Thanks to everyone who liked my posts and chatted with me in the comments along the way! Wishing you all continued success!

DYOR: Why can you still make the wrong judgment after looking at a lot of information?

In the cryptocurrency market, DYOR (Do Your Own Research) is a phrase that comes up often.

When someone recommends a project, you might read its white paper, browse social media, study the token price, or even refer to the opinions of well-known bloggers. But here’s the problem: getting more information doesn’t necessarily mean you’re getting closer to the truth.

Effective research isn’t about collecting as many opinions as possible. It’s about developing a method to verify information, identify risks, an

#美股财报季 #Gate股票畅聊季 #WCTCS9 #每周来晒
Anthropic at $1.4 trillion—can we participate?
Anthropic's fundraising and IPO plans are set, with an offering price of up to $78 and a fully diluted valuation of up to $1.4 trillion. This isn't just one company's IPO; it's the pricing anchor for the AI capital cycle. If it holds up, the valuation framework for the entire AI sector can hold up, and those waiting in line can still go public. Of course, what retail investors care about most is whether $78 is too high and whether we can participate.
I. Is it expensive? Three numbers are all you need
First, the pr

Gotta say, it looks pretty good. Is it really that thrilling?

$CRWV ER and read through for $NBIS and other Neoclouds:
“We have 10x as much qualified demand as available capacity”.
- interest in 2028 capacity already amounts to several times what CoreWeave has available
- CoreWeave raised prices by 25% in July, +10% later in Q3, and more to come in Q4
- Ampere and Hopper rental pricing rose 30–50% quarter over quarter (older GPUs)
- better financing conditions (higher prepayments, lower interest 7–7.5% for new loans)
- positive adjusted net income in the first half of 2028.
So we’re seeing higher pricing esp. for older GPUs…better financing mechanics,

When was the last time you stayed up until midnight for Double 11?
Back then, people filled their shopping carts in advance and rushed to check out as soon as the clock struck midnight. There was excitement to watch after the purchases, too: the transaction total on Tmall’s big screen would jump by hundreds of millions at a time. It’s already November 11 today. How many people still remember something they meant to buy?
November 11 was originally “Singles’ Day” on college campuses. The most widely circulated version says a few male students at Nanjing University came up with it while chatting

If you entered in $ZEC , close 50% position 👍

Next Targets 950 , 920

If they tighten up government hospitality spending further, Moutai, the national liquor, will probably lose another half of its market value.

$INIT Failed to break higher, about to plunge again, right? Short at the current price, with a stop-loss near 0.31

11.11 Qiqi's Midday Gold Commentary: Rebound from the lows, gains meet resistance; short-term trading enters a consolidation phase!

The bearish impact of the previous CPI data coming in above expectations is still lingering. This rebound is a sentiment-driven recovery after the bearish news has been fully priced in, with no new positive catalysts, while selling pressure at higher levels persists.

Gold bounced after finding support at 4026, then rallied to a high of 4065 before pulling back under pressure. It is currently moving sideways around 4055. The short-term MACD red bars are gradually

#Polymarket年化收入突破18亿美元 #WCTCS9
Yes, I believe that prediction markets are not merely experiencing a temporary surge in popularity, but have instead entered a genuine phase of growth. However, their long-term success will depend on whether they can sustain liquidity and user engagement during the intervals between major global events.

From my perspective, prediction markets are evolving from platforms for speculative betting into ecosystems for real-time information and forecasting.

I find three areas to be particularly promising:

1. Macroeconomics and financial markets: BTC and ETH prices,

CDF lost two trades today, and the entries weren’t good either. I’m down 10% today. Should I call it quits and come back tomorrow, or do two more trades tonight? You decide: reply 1 if I should stop for today, or 2 if I should keep going. Also, there are four spots left for the 1% profit share $XAUUSD

In cryptocurrency trading, many people spend a great deal of time studying candlestick charts, indicators, and trading strategies, but overlook a harder problem to solve: their own emotions.

Why do some traders have decent trading systems yet still end up losing money over and over? Often, the problem isn't the market, but emotions affecting execution.

First, FOMO (fear of missing out). Seeing BTC suddenly rise, they fear missing an opportunity and chase the price without considering its level, only to face a pullback right after entering.

Second, greed. They have already reached their take

$BTC
On the daily timeframe, price has pulled back right to around the 0.5 Fibonacci level!
It makes sense to see it find support and bounce here. An even better entry would be at the 0.618 Fibonacci level, which is right around 69k. The 0.5–0.618 range makes a solid entry zone, right?

Why can more detailed trading records make it easier to spot problems in a strategy?

Many traders have a habit of reviewing their trades, but an effective review is not simply a record of how much they made or lost today.

If a trading record only includes the buy price, sell price, and final profit or loss, you may know that you lost money, but it can be difficult to know why.

The value of trading records lies not in preserving the past, but in helping you identify problems that can recur.

I. Why is recording only profit and loss far from enough?

Suppose two trades both lost $100.

For th