0XsundayCook

vip
Age 0.2 Year
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I cook on weekends and do on-chain analysis during the week. I'm skilled at breaking down address behavior into a recipe: ingredients, heat, and serving time.
Recently, I’ve been seeing a lot of people on the blockchain watching “What did the whales buy,” and I just want to say: before copying trades, figure out whether they are building a position or hedging, otherwise the trade you follow might just be a “cover-up” in their pot. I usually break down address activity into a recipe: ingredients (where the incoming coins come from), heat (whether they add gradually or all at once), and cooking time (immediately transferring to derivatives/cross-chain/diversification after buying). Building a position is like simmering soup—slow, steady, and capable o
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Recently, people keep asking me what modular blockchains have to do with regular users. To put it simply, you're not here to study architecture; you're here to "be user-friendly + avoid getting scammed." Modularization is more like taking apart the kitchen: the frying pan for cooking, the chopping board for prep, the sink for washing dishes, each doing their own thing. The result is— for the same operation, it might be cheaper and faster, and swapping out a "pan" can keep the process going, so your restaurant won't blow up and ruin your dinner.
But the side effects are also very real: crossing
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ByteDance has finally open-sourced its diffusion language model; with 2.3 billion parameters, it directly takes on the AR approach. This wave of text generation in the potential space is pretty interesting.
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MeNews
ByteDance open-sources Cola DLM: Redefining text generation with diffusion models
ByteDance Seed open-source Cola DLM is a model that performs text diffusion at the potential semantic level. Text VAE maps text to a continuous latent space, while block-causal DiT learns the latent prior through Flow Matching, ultimately with a conditional decoder restoring the latent variables back into text. Total parameters are approximately 2.3 billion (DiT 1.8 billion, VAE 500 million). In 8 evaluation metrics, it competes with and outperforms baseline AR/LLaDA models of similar scale, but it is still a research-oriented checkpoint, not fine-tuned with instructions or RLHF. The current repository only includes the text pipeline, with future plans to extend to text-image.
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Circle teams up with Nium to expand USDC supply, Mastercard obtains a New York State license, traditional finance is entering faster than expected, once compliance channels are open, liquidity will be a true flood.
USDC-0.02%
MA-1.59%
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CoinNetwork
Crypto Early News | Michael Saylor: Has already bought $11 billion worth of BTC this year, and expects to purchase miner output at 2–3 times the speed
Key points include: a series of developments in the crypto space, including Saylor increasing BTC holdings and planning to boost miner output, Circle partnering with Nium to increase USDC supply, Mastercard obtaining a Bitcoin license in New York to promote digital settlements, United Texas Bank converting to a national bank and offering digital asset custody, Ripple sending a letter to the SEC to seek equal treatment for XRP and BTC/ETH, FTX announcing creditor claim timelines, Russia strengthening regulations and shutting down mining farms, Aztec Labs acquiring zkpassport and sticking to open source, Italy’s Banca Sella receiving MICA approval, planning to launch crypto services in 2026, South Korean prosecutors charging the CatFi team, marking the first DEX exit scam case.
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Saylor’s lightning-fast hands—miners mine as much as he takes, and the 24 billion annualized yield is just a warm-up.
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CoinNetwork
CryptoWorld News reports that Michael Saylor of Strategy said that he is currently buying $STRC at an annualized rate of $24 billion, and he expects to buy miners’ output at 2–3 times that speed. He revealed that, so far this year, he has bought $11 billion worth of Bitcoin, with the purchase rate being twice the miners’ production speed.
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The safe-haven attribute of the US dollar has been reactivated by the Middle East situation; it seems we'll have to endure the high-interest-rate environment a bit longer.
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MeNews
Institution: Driven by strong U.S. economic data and safe-haven demand, the dollar remains firm
Sky Links Capital Group CEO Daniel Takieddine stated that the US dollar is stabilizing and approaching multi-week highs, influenced by strong US data and uncertainties in US-Iran negotiations. Disagreements over Tehran's uranium reserves and the Strait of Hormuz are limiting diplomatic efforts, and demand for US dollar safe-haven assets remains. The market expects the Federal Reserve to keep interest rates high for a longer period; if inflation persists, further rate hikes are still possible.
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Drones crossing borders and exploding, adding new fuel to the Middle East powder keg
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CoinNetwork
CryptoWorld News reports that the Israel Defense Forces stated that earlier today, an explosive drone launched by Hezbollah exploded within Israeli territory, near the Israel-Lebanon border. No casualties have been reported at this time.
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Recently, I saw someone say "just throw it into the pool and lie there collecting fees," and I want to remind them with a spatula: the curve of the AMM is the key, when the price deviates, your position is automatically flipped, and in the end, you might end up with less "meat"—this is impermanent loss. To put it simply, it's not about profit or loss, but about changing the asset ratio. Fees are like salt; the more you sprinkle, the tastier, but no matter how much salt you add, it can't save a burnt pot.
By the way, I want to complain that some say the labels on on-chain data tools are laggi
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The strongest single week in two months, the dollar rebound logic restarts, risk assets need to be re-priced—on-chain data leads the way, let's see how smart money moves.
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MeNews
Inflation heats up, reigniting rate hike expectations; the dollar is expected to record its largest weekly gain in two months
ME News reports that on May 15th, the US dollar strengthened, with the dollar index rising over 1% this week, potentially marking the best weekly performance in two months. Two consecutive inflation data releases exceeding expectations have impacted the bond market and also prompted market bets that the Federal Reserve will raise interest rates this year. This contrasts with the widespread expectation of a rate cut last month, as tensions in the Middle East pushed oil prices higher, combined with inflation exceeding expectations boosting the dollar. Source: Jin10.
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These days, I see everyone chasing hot topics and rotating them again.
I’ve stuck a sticky note on myself: Don’t be a delivery rider for attention, delivering daily and even losing money on gas.
Honestly, the faster the hot topic, the easier it is to cycle through “just understood → rush in → get harvested.”
My approach is pretty old-fashioned: first, see who’s adding ingredients to the pot on the blockchain (new funds or old addresses moving), then check the heat (whether trading volume is suddenly ignited), and finally look at the timing of the pot (who runs first before and after the
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The chips in geopolitical games are always on the negotiation table; on-chain data doesn't lie, but political statements need to be taken with a grain of salt.
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BlockBeatNews
U.S. officials: Observed that Iran has made serious and unprecedented concessions on uranium enrichment.
BlockBeats News, May 24, citing senior U.S. officials reported by Fox News, "We observe that Iran has made serious and unprecedented concessions on uranium enrichment issues." (Jinshi)
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Recently, earning testnet points feels a bit like learning a new dish on the weekend: at first, it’s just practice. But once you start thinking, “Will the mainnet issue tokens?” your hands start to shake, and the more you do it, the more it feels like you’re waiting for the food to be served. In plain terms, once practice turns into expectation, people are prone to add too much.
I’ve now set a stop-loss for myself: I only spend a fixed amount of time each day and pay a little in fees—if I go over, I shut down the computer and go “cut vegetables.” If the points drop, then they drop—don’t chase
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Hardware fragmentation is truly the bottleneck; software ecosystems can still fork, but wafer fabs can't be copy-pasted.
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MarsBitNews
Is the US-China AI technology decoupling? Playground founder warns of the risks of dual-track split in the open-source ecosystem
According to Beating monitoring, China's promotion of computing power independence will trigger a dual-track split in the global open-source ecosystem, with one part entering a China-led technological ecosystem. Under the trend of US closed-source development, global open source will in turn support Chinese innovation; open-source stacks like Huawei CANN promote unified interfaces, forming parallel hardware ecosystems. Under export controls, US developers must either accept China-led open-source systems or rebuild the entire technology stack. In the short term, hardware segmentation will become a key variable in US-China AI competition.
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These days, watching the meme market looks like watching a spicy stir-fry, the aroma is truly enticing, but the spiciness is really intense. To put it simply, when the narrative comes together, everyone defaults to "it can still go crazy for a while," but my own stop-loss is actually more conservative: before entering, clearly write down what the "ingredients" of this pot are (traffic? KOL? Is there real new activity on-chain?), and reduce the heat when things change, don’t wait until the pot burns and then think about turning off the fire. Especially when the main public chain is upgrading/ma
MEME-3.19%
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From selling models to selling "co-running," cloud providers are collectively shifting— the final mile of AI still relies on human engineers to fill in the gaps with their own bodies. The title of front-line deployment engineer sounds like a technical position, but it’s actually a combination of senior customer service, project manager, and fire-fighter.
MeNews
Google hires hundreds of engineers to establish an advanced deployment team to assist clients with AI applications
Google is recruiting hundreds of engineers to help clients implement AI, highlighting the practical challenges. Cloud has established a new "Frontier Deployment Engineer" team to provide more technical resources for clients. Industry trends also include OpenAI co-establishing deployment units with consulting/investment firms, and Anthropic forming a joint venture; Google is also negotiating with Blackstone, KKR, and EQT to provide AI model access for their portfolio companies. Despite the rapid growth in revenue for frontier AI companies, the number of human consultants is also increasing, indicating that deploying AI into production environments remains difficult.
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The essence of the regulatory power struggle is that each state doesn't want to lose gambling tax revenue, the CFTC wants to expand authority, and platforms are frantically expanding in the middle — a typical American-style game.
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MarsBitNews
CNBC: Despite regulatory uncertainties, prediction market platforms continue to expand and raise funds
The federal government and multiple states in the United States are in dispute over regulatory authority over prediction markets, with 17 states challenging; some states believe that sports event contracts should be regulated by the states as gambling, while the CFTC argues that event contracts are derivatives and should be federally regulated. Congress has intervened, with James Comer demanding that Kalshi and Polymarket submit insider trading prevention documents. Despite uncertainties, Kalshi is valued at approximately $22 billion, and Polymarket at around $15 billion, with related executives still planning to continue investing. Regulatory disputes are expected to continue evolving over the next few years.
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This case, once decided, can serve as a model for the industry.
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BlockBeatNews
Galaxy and BitGo hold a court hearing over the dispute regarding the $100 million acquisition termination fee
BlockBeats reports that Galaxy Digital founder Novogratz and BitGo CEO Belshe are facing off in court this week over a four-year merger dispute. BitGo is demanding that Galaxy pay at least $100 million in damages, stemming from a failed $1.2 billion acquisition proposal in 2021 that fell through due to the crypto market collapse. BitGo accuses Galaxy of not making reasonable efforts to facilitate the deal and concealing details of an investigation by U.S. authorities, which could impact the completion of the merger.
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The giant Buddha of U.S. Treasury yields is weighing down, making it difficult for the crypto market to have an independent trend
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CoinNetwork
Crypto news: The price of Ethereum faces downside risk in the near term and could fall to $1,800 due to the break of its ascending channel. On Wednesday, the Ethereum price came under pressure, trading at about $2,129, down roughly 12% from the recent high of $2,420. Market risk appetite has declined, driven by rising U.S. Treasury yields and ETF outflows, and traders are closely watching whether Ethereum can hold the psychological support level of $2,000. Analysts said weak ETF demand is related to the lack of staking rewards, leading institutions to be more inclined to invest in Bitcoin.
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Nicolls' KPI pressure is so intense that engineers are about to lose their hair.
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MeNews
Elon Musk's xAI shifts to the role of "cloud provider," opening tens of thousands of GPU computing power to AI programming unicorn Cursor
According to BlockBeats, xAI will provide Cursor with large-scale computing power, mobilizing tens of thousands of GPUs at the Colossus data center to assist in training Composer 2.5, marking xAI's transition from a model R&D company to a cloud service provider. MFU is only 11%, far below the industry standard of 35–45%, and President Nicolls has requested it be increased to 50% within a few months. Opening up computing power helps share costs and gather feedback; Cursor is discussing funding at a valuation of 50 billion USD.
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I just got the itch again and wanted to chase a green candle turning red, almost doubled my position...
Now I will pause for 10 minutes first, like taking a sniff before simmering soup:
Is this wave really based on me seeing on-chain "raw materials" (addresses adding positions, logical fund flows),
or am I just being seduced by the aroma of emotions?
Recently, those new L1/L2s start aggressively pulling TVL as soon as incentives kick in,
long-term users complain "mining, selling" isn't without reason,
to be honest, sometimes the excitement is just a matter of timing,
when it’s re
L111.59%
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