Boom Token price

I read an analysis by @Mira_Network that was very straightforward: the real danger is actually the "bias" of AI. In simple terms, hallucinations are when AI talks nonsense, where the model speaks confidently but incorrectly, which is a form of "random answering"; but bias is different, it is a systemic "tendency error", a deep-rooted distortion. For example, it may always lean towards a certain political stance, or it may unconsciously be more "friendly" to certain groups of people. This is not just occasional mistakes, but a fundamental tilt. It's like watching an archer; hallucinations are like missing a few shots, while bias is when the entire set of arrows is skewed to one side. On the surface, hallucinations are more eye-catching, but bias is the real hidden issue that affects the direction of AI. Mira raised a key point: we are currently too eager to pursue "accuracy" while neglecting "precision". AI can provide answers that seem very logical, but if the direction is wrong from the start, then no amount of precision will help. Personally, I feel this is similar to how we used to tune algorithms, focusing too much on short-term performance while ignoring long-term impacts. AI's bias will ultimately subtly influence social cognition and decision-making, possibly more dangerously than hallucinations. Therefore, if AI is truly to become a tool for humanity, the issue of bias must be addressed even earlier than hallucinations. We cannot just look at how beautifully it speaks, but rather whether it is silently influencing the way we view the world. This may be the biggest challenge of the AI era. The key is that there is a leaderboard activity on @KaitoAI, and the projects on @arbitrum are also very popular, so you might want to check out $ENERGY, $SHOUT, $Bane, $Chao, $BOOM, and $666 on @shoutdotfun.

I got up to submit my homework!! Last week I was laughing at others in the group for being too competitive @shoutdotfun, only to find that I'm the one getting slapped in the face now. The cause was @tickerenergy's $ENERGY, I originally planned to buy just 1 SOL to "test the waters," thinking: if I lose, it’s just like buying breakfast. But then! After the airdrop, the front-row bosses made a killing, while my "breakfast money" turned into a full banquet. Then I saw Long Er $666 also surged to $250,000, @nancy_c813's $CHAO at $200,000, and $PYTHON quietly gaining momentum, this isn’t just grabbing airdrops, it’s clearly a "printing press on the blockchain!" Now I don’t dare to laugh at others for being competitive, I just honestly post with tags every day, earn points, and buy some tokens, worried that the next reversal will hit me again! $Chao $PYTHON $Poge $ENERGY #SHOUT $shout $BANE $FAN $MGANG $UDOG $BOOM $666 $SCAT

🧐 After integrating @wardenprotocol with @irys_xyz, the model can not only store information but also write in "logic". For example, if the model makes a decision, it can set conditions to automatically execute when a certain situation arises in the future. This data can also carry permissions and rules, allowing other models to call, share, or even pay for access, all clearly set within. The most important thing is that this method does not make the model increasingly complex on its own, but rather allows the data itself to become smarter. For instance, if you create a DeFi assistant model, it can remember that you are afraid of losing money and prefer stable operations, so the strategy can automatically adjust without you having to click around every day. Moreover, if multiple models work together, they can coordinate their respective strengths instead of each performing independently; even if you create a very powerful model, its knowledge can be packaged as "assets" for licensing or sale, opening up monetization pathways. From my understanding, Programmable Data is not just a technical buzzword, but the key to unlocking "AI autonomous systems". It allows models to no longer rely on humans to feed data, but instead decide how to process, share, trigger actions, and even make money on their own. This direction not only accelerates AI but is also a crucial leap that truly gets it running. The key is that there is a leaderboard activity on @KaitoAI, and the project on @arbitrum is also very popular, so you might want to check out $ENERGY $SHOUT $Bane $Chao $BOOM $666 on @shoutdotfun.

🧐 @dYdX is essentially a decentralized, permissionless, and intermediary-free platform. This sounds very liberating, but it also means that all the risks are yours to bear; no one is there to catch you, and no one is responsible for you. dYdX officially states very clearly that it does not control any part of the protocol and does not participate in operations. The Vault, trading logic, and profit mechanisms you see are all run at the community and smart contract level. This means that even if you incur losses, the official will not compensate you, and they won't even provide an explanation. Another point is that trading inherently carries high volatility and high risk. Especially once you use leverage, while profits can double, losses can also wipe you out overnight. So for those who rush in seeing high returns, it's best to take a moment to calm down and understand where the risks truly lie. Ultimately, the crypto world is free, but that freedom comes with the responsibility for every click and every signature you make. I suggest everyone do their homework and not just listen to others saying "you can earn"; first, ask yourself "can I lose?" This space is not about gambling; it's about understanding the logic before taking action. The key is that there is a leaderboard event on @KaitoAI, and the projects on @arbitrum are also very popular. You might also want to check out $SHOUT, $BANE, $ENERGY, $Bane, $Chao, $BOOM, $666, and $PYTHON on @shoutdotfun.