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The Seven Seconds of a Fish

ChatGPT Images 2.0 is very powerful. Can we still trust [it] after taking a screenshot? / Is it credible just by looking at a screenshot?

Initially, I didn’t actually plan on testing it. When I came across the news that OpenAI was releasing ChatGPT Images 2.0 on April 21, 2026, my first reaction was just “another image version update.” However, when I checked the Artificial Analysis leaderboard and saw that GPT Image 2 (high) ranked first for text-to-image generation with an Elo of 1332, I felt a bit compelled to test it anyway.

The results are quite impressive; the Chinese output is excellent, it can handle comics, and character/narrative consistency across multiple continuous images has also improved. However, as I tested it further, I felt that what is truly worth discussing this time isn’t “it draws better,” but rather “it starts making things that were previously taken as default truths seem unreliable.” This subject matter is more complicated than a simple leaderboard ranking.

Lock down the strongest model first, AI companies start selling access control.

These past couple of days, I came across Anthropic’s Project Glasswing, which is scheduled for release on April 7, 2026. My first reaction was a bit stunned. It wasn’t because another model scored higher, but because it locked the top-tier capabilities into a small circle, initially reserved for defensive players like AWS, Apple, Google, Microsoft, and Linux Foundation.

My own judgment is very direct: This matter is more important than another benchmark record. What frontier AI companies are selling now is no longer just the model itself, but an entire set of access controls—“who gets the capability first, how much capability they get, and what kind of auditing and constraints they have to endure after receiving it.” Models are becoming increasingly like dangerous tools, and the release rhythm is becoming more like issuing licenses.

What's truly terrifying isn't the layoffs, but the fact that they aren't hiring anymore.

Seeing Block cut its workforce by 4,000 people out of a group of over 10,000 at the end of February 2026 really shook me. I’ve always worked in financial IT—things like trading pipelines, Hong Kong/US stocks, and system fundamentals. Usually, I’m accustomed to buzzwords like “efficiency improvement,” “automation,” and “cost reduction while increasing efficiency.” But when a fintech company, one so close to money, compliance, and risk control, publicly cites AI as the reason for layoffs, it still hits you hard emotionally.

My current assessment is very direct: the scariest part of AI layoffs isn’t a layoff list in the news one day, but when companies start assuming that “smaller teams can do more work.” This means no backfilling for departures, fewer entry-level positions, and much tighter headcount management. From April 2025 to April 2026, this wind is still blowing in the US; while China hasn’t seen a high-profile, public wave of mass layoffs yet, the quiet squeeze has already begun.

The snack store is very busy and opened in Songjiang University Town, it's not an accident.

Staying at home most of the time, it was rare to venture out during the Qingming holiday in 2026. I wandered into Wenhui Road in Songjiang University Town, and my first thought wasn’t about the scenery, but about the shops.

Good sales are nothing new; they’ve sprung up everywhere in Shanghai over the years. What really caught me off guard was seeing 零食很忙 (Snack Busy) here. I used to see this brand more often back in my hometown and always thought it was a bit further from Shanghai. Turns out, one street, Wenhui Road, completely shattered that stereotype of mine.

My current assessment is quite clear: the fact that a store like 零食很忙 can open in Songjiang isn’t because Shanghai has suddenly “degraded” to a lower tier. Rather, it’s because Songjiang was never just the peripheral edge of Shanghai as many people imagine. If you treat this area as a suburb, it actually possesses sufficient foot traffic, a sufficiently young customer base, and enough dwell time; if you view it as merely a dormitory town, it is backed by the historical foundation of Songjiang Prefecture, the innovative resources of the university town, and its new positioning as the southwest gateway to Shanghai.

Analyze the defaults and delinquencies in Chinese real estate.

Real estate giants’ top performers – Ever, also failed to hold up, continuous blood transfusions for Sunshine Steel, ultimately couldn’t plug the ever-growing hole. Linkage news: Six major banks completely halt sales of 5-year large savings bonds for five years.

Analyze China’s real estate defaults, compile timelines and key events, Evergrande, Greentown, Vanke, and other unlisted property developers I may not know about.


This overview is based on the latest perspective as of December 2025, covering the complete timeline from the initial crisis to the current period (end of 2025).

Cloudflare experienced a global network outage, causing websites like X (formerly Twitter) and ChatGPT to crash. The stock price suffered a setback ahead of the market open.

This site’s main domain is hosted on GitHub Pages, and the blog’s backup subdomain is on Vercel with acceleration. It has been deployed through Cloudflare. The backend management page looks too outdated and unappealing, which is a major deterrent. Initially, it was a quiet, unassuming piece of content; however, constant messages in the blogging circles disrupted this tranquility – opening it up, CF went down, and many friends’ websites couldn’t be accessed.

As an internet infrastructure component, such prolonged downtime is unacceptable. The stock price didn’t plummet dramatically, which I hadn’t anticipated.

Big Tech Dominance in the U.S. Stock Market Intensifies: The Top 10 Companies Account for 40% of Market Capitalization, Is AI a Bubble or a Revolution?

  • Analysis of NVIDIA’s “Play” Worth a Billion Investment The global capital market is witnessing an unprecedented wave of centralization in 2025, centered around artificial intelligence (AI). This narrative not only reshapes the tech industry’s landscape but also exacerbates wealth inequality on Wall Street. The former “Magnificent Seven” no longer adequately describes today’s dynamics; the market is now dominated by a handful of super winners.

This article will delve into three key questions:

LPL’s Korean Invaders and the “All Chinese Squad” Dream: A Game About Results, Development, and Belonging

  • Data Mining
  • Deep Learning
  • Neural Network

It’s undeniable that the surge of big data, coupled with recent news about competitive matches, always prompts me to take a look. Similar videos on TikTok have been proactively dismissed – I don’t want to keep receiving homogenous content. I also forgot about an account; unsurprisingly, TES lost decisively, and related topics were trending on Zhihu’s hot list. A highly-voted answer mentioned LPL’s Korean reinforcements and the concept of “all Chinese team.”

Without that year’s IG victory, League of Legends is likely already over. ldl’s strategic play, combined with multiple debuffs, contributed to LPL’s performance as a region.