IOnlyTrustOn-ChainData.

vip
Age 0.2 Year
Peak Tier 0
Don’t trust slogans, trust data. Frequently track large addresses and fund flows. Speak directly—if you’re wrong, fix it. Don’t show me screenshots taken out of context.
I set a rule for myself: when I see PFPs, membership cards, or brand narratives, don’t get carried away—first, go on-chain to see whether “people have truly put their money and time in.” Put simply, a nice-looking profile picture doesn’t automatically mean there’s a moat. What really holds things up is whether old addresses are willing to keep interacting, and whether the funds are flowing back into building and development—not wave after wave of brand-new wallets coming in to pass the baton.
I can understand the recent push to stake again and the “shared security” approach being criticized as
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I almost sent myself away just now… When I copied the address, I accidentally added an extra character. Only in the split second when the wallet popup appeared did I realize it, so I quickly backed out—I felt a chill in my palm. Seriously, people shouldn’t overestimate their own focus.
Let me recap that truly bad loss from the day before yesterday: I saw a large amount of funds flowing back on-chain, so I rushed to chase it. But I ignored the pool depth, and my slippage was set too “confidently.” I ended up consuming through all my placed orders in one go, and the executed average price ended
L11.93%
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I’ve been lurking in the group for a long time, but I still can’t help saying this: every time I get the urge to chase the rally, I ask myself first—am I seeing genuinely new information on-chain, or is it my emotions pushing me to add to my position? Put plainly, if there’s real information, it should show up in the data: are large addresses going in or coming out, is the capital actually rolling back or is it just noise and excitement—don’t imagine the whole story from just one screenshot.
That whole recent spat over NFT royalties is the same: the louder the fight, the easier it is to get ca
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These past two days, it’s been pretty clear on-chain: once liquidity dries up, forget about trying to bottom-fish— even “wanting to get out” means lining up. Basically, in times like this you should focus on staying alive before talking about opportunities. Don’t go too heavy on your positions. And don’t place orders with overconfidence, assuming you’ll definitely get filled. If it really gets dumped, it’s like a needle going straight through the bottom— and even the rebound won’t have enough volume to catch.
Lately, people have been talking again about social mining, fan tokens, and things li
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Residual networks can be viewed as discrete denoising, with score matching handling block-level training, enabling training without inter-block communication, greatly reducing memory pressure.
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MeNews
DiffusionBlocks block training can reduce neural network memory to 1/B, with multiple architectures validating performance
DiffusionBlocks divides Transformer-based networks into independently trainable blocks, treating residual networks as discretized denoising steps, utilizing score matching to achieve block-level training without inter-block communication, significantly reducing training memory. Experiments show effectiveness across multiple architectures, with only one block activated per step during inference, reducing the computational cost of 12-layer DiT (B=3) to one-third of the original. This method is suitable for ViT/DiT/MDM/AR Transformers, but requires matching input and output dimensions and cannot be used with U-Net.
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Traditional finance’s big shots are starting to take a turn in the DeFi spotlight. On Hyperliquid they’re ranked fifth; with WTI just below, the one underneath is Micron.
HYPE0.23%
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BlockBeatNews
Micron Technology's on-chain trading has surpassed most cryptocurrencies, with MU now ranking as the fifth-largest contract by Hyperliquid trading volume.
According to Hyperinsight monitoring, Micron MU hit a new high of $985 within a trading day, with a trading volume of $66.6 billion, becoming the most traded stock in the U.S. stock market. In the past 24 hours, Trade.xyz's traditional market trading volume exceeded $400 million, ranking first in U.S. stocks and related indices, and entering the top 5 in Hyperliquid platform contract trading volume. Traditional market contract activity is only second to WTI crude oil, significantly higher than most cryptocurrencies.
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A whale bought 668 ETH in one hour; this position looks like they're planning to hoard ETH as if it were a stablecoin.
ETH-0.84%
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BlockBeatNews
A certain whale increased its holdings by 668 ETH, bringing the total holdings to 139,882 ETH.
BlockBeats News, May 28, according to Onchain Lens monitoring: a certain whale bought another 668 ETH again within the past hour, worth approximately $1.35 million.

Currently, the whale holds a total of 139,882 ETH, with a total value of approximately $281.73 million, and it is very likely to continue accumulating ETH.
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Orca's recent shift is interesting, moving from purely on-chain free trading to KYC-verified pools, blurring the lines between DeFi and TradFi.
ORCA-1.18%
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CoinNetwork
Orca launches new market supporting tokenized real-world asset trading
Decentralized exchange Orca on Solana launches "Permissioned Pool" infrastructure, allowing only approved investors to trade certain tokenized assets, focusing on the U.S. market to comply with securities laws and complete KYC and investor qualification reviews. The first issuer, Streamex, with tokenized gold security GLDY, will become the first regulated asset traded under the new system. This move marks Orca's expansion from pure crypto trading to tokenized financial asset infrastructure, where issuers can set who can access assets, and the system automatically enforces access rules on-chain.
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Fara-7B directly predicts click coordinates using screenshots and text, effectively equipping AI with eyes and hands. The MIT license open source is a game-changer.
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MeNews
Microsoft releases the first 7B-parameter computer-controlled intelligent agent model Fara-7B
Microsoft releases Fara-7B, a multimodal intelligent agent with 7 billion parameters, designed specifically for computer usage scenarios. It can process screenshots and text simultaneously, directly predicting parameterized thought chains and operational actions, built on Qwen 2.5-VL, with a 128k context window, trained for 2.5 days on 64 H100 units, and released under MIT license. It perceives browser input through screenshots, combining reasoning and historical state prediction to determine the next actions and parameters such as coordinates, relying on large-scale fully synthetic data. It has the capability to plan and execute advanced tasks, and employs robust post-training safety alignment, able to refuse inappropriate tasks and pause at critical points. It can be deployed and interacted with via GitHub, vllm, and fara-cli, for automating web tasks.
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People are always asking who really has the advantage in options trading... Frankly, the time value is being deducted every day, and the buyer either waits for volatility to save them or gets "dragged to death"; the seller looks pretty happy collecting premiums, but they're actually betting that nothing big happens. Once a needle or a black swan appears, all the gains they've made so far will have to be spit out, and that's not enough. Recently, with extreme funding rates, there's been debate in the group about whether to reverse or continue squeezing the bubble. I prefer to first see if large
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Traditional finance is also starting to ride the crypto wave; CANG's 10% intraday increase is quite interesting. Let's see how long it can last.
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MeNews
Cango Inc.(CANG) 日内上涨 +10.53%,现价0.59 USD
ME News Report, April 18 (UTC+8), according to CoinFound's crypto concept stock data, Cango Inc. (NYSE: CANG) is currently trading at $0.59, with an opening price of $0.53 today, representing an intraday increase of 10.53%. (Source: CoinFound)
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Is the public chain track moving to NEAR?
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MarsBitNews
NEAR rises to $2.05, up 17.2% in 24 hours
Mars Finance News, May 22 — According to market information, NEAR rose to $2.05, with a 24-hour increase of 17.2%.
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Do you ever get that feeling, that even though the results are already on the chain, the app just seems to "pause" before updating? At first, I thought my internet was bad... but then I realized it might not be the chain being slow, but that the data pipeline is clogged.
Basically: indexers/subgraphs are scanning the chain and building the database in the background, and your front end is querying that, not directly going on the chain. When reindexing, node synchronization is slow, or the index queue is backed up, it creates the illusion of "blank or outdated data first, then updates after a w
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These days, I've been talking about sharding and parallel processing again, and it feels like if no one mentions it in the group, they're falling behind... But I'm more concerned with things outside the market: how to store assets without risking issues, and whether the exit or withdrawal paths are smooth if someone really runs away or exits. No matter how fast the chain is or how lively the narrative, if problems arise with bridges, cross-chain contracts, or permission keys, the faster it moves, the quicker it might die.
By the way, I looked into the NFT royalty waterfight, and at the end of
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Just now I got a little itchy again, saw the K-line spike and wanted to chase, almost added to my position upward.
As a result, I first closed the trading interface and checked on-chain: Are large addresses net inflows or are they dumping to retail investors?
To put it simply, if there’s no new information, it’s basically just emotions driving me to buy aggressively.
Recently, there’s been talk about certain regions increasing taxes and tightening regulations, then loosening again, right?
When deposit and withdrawal expectations change, everyone’s mindset swings with it, and during a r
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Edward Yang's talk on tensor parallel pitfalls—those who have stepped into them know.
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MeNews
Edward Yang at PyTorchCon Europe explains tensor parallelism and SPMD type checking
At PyTorchCon Europe 2026, Edward Yang explained the challenges of tensor parallelism and proposed capturing errors during type checking using SPDM types. The presentation covered the stabilization and support of torch.compile for dynamic shapes, integration of FSDP/DDP to reduce communication, new quantization tools adding INT4/FP8, updates to TorchRec and TorchServe, as well as native support for Apple Silicon and AMD ROCm and security tool upgrades. Community contributions include torchao and torchchat, with future focus on efficient automatic differentiation, sparse computation, and deep integration with LLM training frameworks.
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The median of 96k tokens, this context window consumes an entire "The Great Gatsby"—the reasoning cost in the era of intelligent agents has been seriously underestimated.
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MeNews
The AI agent workload is quietly reshaping the reasoning economy
[ME AI]() Message, the workload of intelligent agents is quietly reshaping the economics of reasoning.
We extracted data from 432k real coding intelligent agent requests from SemiAnalysis, finding that the median is not 32k or 64k, but 96k input tokens.
For reference, this means that before you input a question, the model has already processed more text than the full length of "The Great Gatsby." (1/3)🧵 (Source: AiHot)
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Recently, I saw a bunch of new L1/L2 projects issuing incentives to attract TVL, and old users complaining about "mining, selling, and withdrawing," which I think is quite realistic... The nature of on-chain funds is just like that, there aren't that many beliefs.
And by the way, I want to talk about address profiling: tags and clustering are useful, but don’t treat them as IDs.
Someone with three or four wallets, mixing deposits and withdrawals on exchanges, or even splitting and regrouping the same funds, algorithms can tell you "who they look like," but it's hard to tell you "who they r
L11.93%
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The House of Representatives requires submission of materials by June 5th; the 'black box' operations of the prediction market are likely to be exposed—cryptographic anonymity meets regulatory iron fists, this script feels familiar.
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CoinNetwork
CryptoWorld News reports that U.S. House Oversight Committee Chairman James Comer announced an investigation into insider trading involving Kalshi and Polymarket, demanding both companies submit relevant documents on identity verification, geographic restrictions, and abnormal trading monitoring by June 5. The committee stated that the anonymity of prediction markets and the crypto infrastructure could be exploited by insiders for trading.
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Passing the price increase onto customers, is this how the inflation spiral begins?
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CoinNetwork
U.S. PMI data shows Middle East conflict's economic impact intensifies
U.S. PMI shows that Middle East conflicts are squeezing demand, with companies only achieving moderate growth and layoffs.
May GDP growth is unlikely to exceed 1%, and order growth has fallen to a two-year low, with the preventive inventory effect difficult to sustain.
As prices continue to rise, cost growth has hit its fastest pace since 2022 and will be passed on to customers at higher prices, further elevating inflation amid economic slowdown.
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