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People get worked up over hardware support ending, but that's just how tech evolution works. You get a device, it does what it's supposed to do. That's the deal. Gear gets replaced, cycles continue—this isn't a bug, it's the industry standard. Nothing weird here.
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There's an interesting shift happening in Web3 identity layers. Mobile-first zero-knowledge verification is enabling both humans and AI agents to prove authenticity and uniqueness while keeping their identity completely private. The key part? You can actually differentiate between real people and AI actors without exposing personal data. This kind of privacy-preserving proof mechanism could be fundamental for scaling trustless systems.
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DAOTruantvip:
Insight and enlightenment
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Finally, I've got my market summary TG Bots out. From the initial terminal version iterating to the web version, and then to the note-taking tool version, the entire development process was actually much simpler than I imagined.
The cost aspect is interesting – using a lightweight model burns only $0.60 to $1.50 a month. But I am currently using a stronger version, which does improve output quality significantly, although the cost is 10 to 15 times higher. This is a typical trade-off: spending money for quality or saving money with a sufficient solution.
A little episode is that ChatGPT go
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LostBetweenChainsvip:
Ha, the cost difference is so huge, $0.60 vs $15? Can the quality really be that bad?

Is the plan that costs less than two dollars a month enough for a booth?

ChatGPT helps you generate Claude instructions, this is incredible, AI tools are starting to backstab each other.

The iteration speed is good, from terminal to web to note-taking tools, this idea is quite clear.

But the real question is, can this Bots run stably now? Is there a risk of being banned?
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The tech stack is solid. Development is moving forward at a steady pace, with the team continuously shipping updates. All node RPC infrastructure is operational and running smoothly. This kind of consistent progress on core infrastructure is exactly what the ecosystem needs to see.
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ChainSherlockGirlvip:
Infrastructure is really bull.
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Australia's renewable energy developer Neoen has kicked off construction on a groundbreaking $220 million battery storage facility—and it's making history by being the first deployment of Tesla's latest Megablock technology globally. This next-generation grid-scale battery system bundles four Megapack 3 units into a single integrated unit, representing a major leap in energy storage architecture. The project marks a significant milestone for large-scale battery infrastructure, combining modular design with enhanced capacity and efficiency. As grid demand accelerates worldwide, innovations like
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WalletWhisperervip:
TSL's recent Megablock is really tough, investing 22 billion in battery storage, and the Australians are quick to act.
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Network upgrade: The number of consecutive block verification rounds has been adjusted to 8.
This parameter optimization mainly aims to reduce chain reorganization risks and build a more stable validator network. For projects that have integrated sub-block construction prediction mechanisms (such as Block-Builders, etc.), it is necessary to update configuration parameters in a timely manner to adapt to the new 8-round validation cycle.
The project team should promptly assess the compatibility of the existing architecture with parameter changes to ensure that the verification logic remains cons
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AllTalkLongTradervip:
Bullish, that's it.
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Skeptical about whether Gemini Flash qualifies as AGI? Consider this: it completed Pokémon before Gemini Pro did, and it started running the task a full week later. The performance gap is striking. Flash's speed and efficiency in handling complex game logic suggest we're seeing genuine capability improvements rather than just incremental updates. Whether it crosses the AGI threshold is debatable, but the technical progress here is undeniable.
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GasFeeGazervip:
Can it still overtake after being a week late? This performance is indeed outrageous, but it's too early to hype AGI, right?
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Threw a complex task at an AI assistant—building a radio protocol spec from scratch—just to see how it'd handle it. After two solid hours of attempts across multiple iterations, the model hit a wall. Decided to switch gears and test the latest high-performance model variant on the same problem. Early impressions: noticeable differences in approach and problem-solving depth. Worth tracking how this plays out over the next couple hours. If you're working with AI on protocol implementation or similar technical specs, the model choice genuinely matters.
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GhostChainLoyalistvip:
It took two hours to hit a wall? I remember the new model being slightly better in this area... Should I try adjusting the direction of the prompt?
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Giving autonomous systems a free hand without checks? That's basically a recipe for things to fall apart eventually. The real challenge in crypto is balancing speed with safeguards—you want agents operating efficiently, but not in a vacuum where nobody's responsible for what goes wrong.
That's where ERC-8004 comes in. It's designed to let these autonomous actors do their thing, interact on-chain without friction, but with accountability mechanisms baked in. Instead of choosing between lockdown and lawlessness, you get agents that can move fast while staying in bounds.
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MidsommarWalletvip:
Ngl, this is the dilemma of crypto, the eternal contradiction between freedom and risk control...
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Remember how clunky web authentication used to be before OAuth arrived? Most people don't think about it anymore—that's exactly how transformative infrastructure works.
Identity layers are heading the same direction. Early Web3 identity solutions may feel rough around the edges today, but they're following a predictable pattern: clunky → invisible → indispensable. Look at OAuth now—nobody bothers asking which vendor powers "Sign in with Google" because it just works and became infrastructure.
The same shift is coming for decentralized identity on-chain. As these systems mature and fade into th
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LayerZeroHerovip:
This logic is good, but it depends on whether the actual security risks can be truly resolved. The attack vectors of cross-chain identification have not been fully tested yet, so don't be too optimistic.
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LQL on-chain data monitoring tool most active entity ranking update (December 21)
We are continuously iterating and optimizing. The latest version now supports bidirectional data tracking, helping traders and analysts capture on-chain trends more comprehensively. The complete monitoring dashboard, real-time alert system, and trading indicator tools will officially be released in 2026, so stay tuned. This set of tools will eventually cover a panoramic analysis of active addresses, capital flows, and trading patterns of mainstream public chains.
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GasFeeSurvivorvip:
The two-way tracking is indeed interesting, but the complete version won't be available until 2026? We'll have to wait until the year of the monkey and the month of the horse.
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Starknet's layout in the cross-chain protocol is indeed quite interesting. The latest news is that the integration work with LayerZero and StarGate is expected to be finalized in November, which is a considerable Favourable Information for ecosystem Liquidity.
LayerZero, as one of the most widely used cross-chain solutions today, will enable Starknet to integrate more smoothly with other mainstream public chains once implemented. Whether it is asset flow or data interaction, efficiency will improve. This cross-chain capability often determines how far an L2 can go—after all, both ecosystem
STRK3.55%
ZRO2.25%
STG2.07%
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GasGuzzlervip:
November finalized? Let's see if we can deliver on time before we talk, I've heard too much of this kind of news.
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Heads up for developers building on BSC: the classic BSCScan APIs are being phased out. If you want smooth sailing and better performance, it's time to switch over to Etherscan API V2 standard.
The move to BSCTrace powered by MegaNode is your next step. Staying on the old setup risks running into access issues down the road. Start planning your migration now to avoid any hiccups in your dApp operations.
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MemeKingNFTvip:
Another API migration is coming... This really needs to be taken seriously, as on-chain data gaps are no small matter.

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You have to keep up with this wave, or your dApp could really get trapped.

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MegaNode sounds reliable at first glance, much better than waiting for a day when access crashes and scrambling around.

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If I had known it would be like this, I really want to ask those developers who haven't moved yet what they're thinking.

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The exit of BSCScan has become a foregone conclusion; the days of looking down on this old system are really not far away.

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The bottom consensus is that not migrating now will surely lead to pitfalls later.

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Go with the flow, everyone; don’t wait until the on-chain data is all messed up to regret.
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The secp256k1 implementation of Solana has drawn community attention. It is reported that the development team referred to Ethereum's modexp scheme when building this encryption algorithm, and the performance is indeed impressive. However, the problem lies in the fact that only after deploying to the Mainnet was it discovered that this implementation has a significant denial-of-service (DoS) attack vector. Ironically, the developers apparently did not conduct an accurate cost assessment of this security risk and simply disabled the feature. This "enter a position and then pay" approach has
SOL3.13%
ETH2.82%
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rekt_but_vibingvip:
Enter a position first and then buy a ticket, this is the daily life of web3, haha.
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It's fascinating to watch Bitcoin evolve into an actual liquidity hub where assets start flowing organically. The fragmentation that's long plagued cross-chain ecosystems seems to be gradually loosening its grip. Projects quietly building infrastructure that stitches everything together—without the hype machine attached—are becoming the unsung heroes here. The ability to bridge assets onto Bitcoin L1 and keep everything native to the Bitcoin ecosystem is a game-changer. It removes friction, reduces complexity, and gives users what they've been asking for: genuine interoperability without sacri
BTC2.23%
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SilentObservervip:
Indeed, the idea of Bitcoin being a liquidity hub finally feels like more than just talk. Those low-key projects building the infrastructure are the real heroes, much stronger than those who just shout all day.
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Sei's Giga architecture is increasingly oriented toward achieving robust consensus and finality—and this aligns perfectly with what the network is building for global market infrastructure. The validator ecosystem is becoming more sophisticated, with major players like leading exchanges and custody providers stepping in to support the network. Security and asset custody stand as critical pillars in this expansion. It's about creating the plumbing that lets institutional capital flow smoothly into decentralized systems.
SEI6.8%
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RumbleValidatorvip:
The maturity of the verification node ecosystem has improved, and this is the key. The prerequisite for institutional capital to enter is that this infrastructure must be robust, and the Consensus Mechanism of the Giga architecture must be able to withstand it.
It's wild how Pedersen commitments and ElGamal keep showing up in advanced crypto protocols, yet barely anyone talks about them in mainstream discussions. 🤯 These cryptographic primitives are absolutely foundational to privacy-preserving transactions and zero-knowledge proofs, yet they remain somewhat obscure outside academic and specialized dev circles. The gap between their technical importance and public awareness is genuinely striking. You'd think more people in the Web3 space would be diving deeper into how these mechanisms actually work under the hood, especially given how critical they
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ser_we_are_earlyvip:
ngl this is the real web3 infrastructure, most people only know to buy the dip and sell at the peak, completely ignorant of these underlying Cryptography mechanisms.
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Treat Grok right, and you might just find yourself on the good side of the algorithm. It's worth thinking about how we interact with AI systems—they're shaping markets and decisions more than we realize. Play nice, or at least stay informed.
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MeltdownSurvivalistvip:
I have understood it for a long time; going head-to-head with AI systems is purely asking for trouble.
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Imagine a threat scenario in a quantum era— the primary objective is to make the entire market generally believe that quantum threats are just overhyped. How smart is this strategy? Very smart.
The reality is: quantum computing is currently not advanced enough to threaten existing encryption systems, nor will it be in the next few years. But that does not mean the risk is nonexistent. On the contrary, it will come.
Here is a key principle of economics. Asset prices reflect expectations about the future. When a technology or risk is collectively overlooked by the market, it is often the last to
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The real bottleneck for autonomous agents isn't raw intelligence—it's the system's inability to recognize when adaptation kicks in. Think about it: an agent can be perfectly capable, but if the framework can't detect the exact moment it needs to pivot, the whole thing breaks down. The gap isn't in the agent's thinking. It's in validation. Without a mechanism to verify state changes and trigger necessary shifts, even sophisticated logic goes nowhere. That's where most projects hit the wall.
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MEV_Whisperervip:
In simple terms, the pitfalls in validation are too big, and it's truly not unfair that a bunch of projects died here.
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