Anitttttta

The more AI projects I see lately, the more pessimistic I become.
Founders, why are you so eager to develop software?
Actually, from an investor's perspective, unless you come from a major international company's core team, developing software has no market competitiveness at all and is easily shut down by big corporations.
What's more troublesome is that if you're working on a technical idea, there's no way to verify or falsify it over time, and investors are even less likely to "risk" investing in you.
Currently, the bottleneck for pure software startups is significant, with large de

Learn to look at problems with a "total perspective"—and everything will be resolved easily.
After the astronaut Anderson returned to the cockpit on the return trip from the moon, his first words were: “We flew 380,000 kilometers to explore Earth, and the most important discovery was seeing Earth by looking back.”
When you stand high enough and far enough, there is nothing—no difficulty or contradiction—that cannot be solved.

After the Hermes Agent became popular, in a few more months, there will be other Agents with even smoother performance. OpenClaw has set things in motion, and this year, we may see a prototype that is approaching perfection for an open-source automated long-term memory storage security intelligent agent.

Think about software, agents, and entrepreneurship from a different angle.
The answer might be hidden in the editor.
Over the past few decades, the software industry has essentially kept inventing different workbenches for different professions: documents, spreadsheets, design, BI, legal, healthcare, trading terminals…
These systems’ default premise is that people operate them in person.
And what LLM-based agents truly have a chance to rewrite isn’t just the search box, but the entire set of assumptions.
Today, the most successful area is still coding, because code is the most struct

I caught up with Evie @0xEvieYang, whom I haven't spoken to in a while, to learn about the differences between Chinese and American AI venture capital and overseas expansion.
In the context of the Web3 bear market, many agencies are shifting their focus to AI overseas expansion. JE Labs is one of them. They already have several successful cases. Unlike Web3 marketing, AI products focus more on actual ROI, such as targeting the right audience, precise ad placement, tiered KOL selection, SEO, star ratings on tech forums, offline events, and so on. Correspondingly, the investments are higher. T

An interesting observation
Although mainstream capital is biased against Web3, believing that AI is the true value investment,
when it comes to perception and understanding of AI, Web3 users may have a deeper insight than ordinary users.

Because Sentient has always emphasized open source, they are often asked about "open source versus closed source" during interviews and research. These two are not about which one is better or worse, nor are they about the distinction between liberal arts and science students.
In the short term, large companies like OpenAI and Google set product rules; in the medium term, the open source community defines ecosystem rules; in the long term, the true rule-makers may be at the interface layer and protocol layer.
Currently, the advantages of closed-source companies are very tangible: strong mo

Sora's shutdown is reasonable, and OpenAI's understanding of the social ecosystem is a misconception. If this had involved cooperation with short video entertainment channels like TikTok, it might have been another way out. Sora burns $15 million daily, with an annualized revenue of $5.5 billion. Just 10 seconds of 1080p video GPU inference costs $1.3, complex scenes cost $33, yet users spend 80% of their time experimenting with "cat space hip-hop" meme packs. 30-day retention is only 1%, and paid conversion is less than 5%, essentially digging their own grave.
TikTok's algorithm understands

Since March, the Hong Kong stock AI sector's most explosive gainer hasn't been Zhipu or MiniMax, but rather XunCe, a company most people hadn't heard much about before. On March 5th it was trading at HK$70.65, and by March 10th it surged to HK$153.9, hitting an intraday high of HK$170.5, nearly doubling in just a few days.
On March 6th, the company released its 2025 earnings guidance, projecting full-year revenue of approximately RMB 1.283 billion, a massive 102.95% year-over-year increase.
But I think the market's most common mistake right now is rushing to call it "China's Palantir" whenever