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D Man's Method To Get Rich This Year In Crypto

"get rich" is something you very rarely hear me say.

But this method is guaranteed.

And before you start liking it, let me tell you, you'll not like it so much.

Why?

Because it's real.

And as when magic trick, an illusion is revealed it is no longer magical.

So before we begin, what if I tell you, you can invest in any coin you like. Not sort through much and still outgain your twin brother that would be doing exactly the same thing, but without doing the thing I'm about to tell you.

Confusing? Don't worry, let's start...

This year in crypto has very GOOD odds of being bullish.

Bullish not as we have a slow ascend up. But bullish as "hold tight we are taking off" type of bullish.

But the fact about crypto, trading, investing is... it never MAKES you money. It multiplies or decreases the capital you were ready to risk in the first place.

This is the key point.

So this year brother, if you believe in crypto, now, while slow days, the smartest, best thing you can do... is show not only with your FOMO nose, with your gambly instincts, but to PUT IN ACTUAL WORK and find yourself either extra source of income, or work stronger, smarter, more effective than you did until now.

Because all that extra you do before the crypto takes on... is extra capital you're putting in and extra capital that will work for you when multiplication is successful.

The WRONG way to do it is to borrow, over risk and other form of lazy ass shit.

WORK more.
WORK smarter.
DO more.

Then you can expect more.

Invest only what you can easily afford to lose. Crypto comes with 100% risk.

Be smart.
Be BCW!

Once you make it, you'll be proud of yourself the way how you did it.

D Man

I realized many times, when I see injustice, I go balance it with more than my real opinon.

Take Ukraine war. I love Ukraine. Pre-war was one of my favorite countries. But when I noticed fake propaganda at the beginning, I started countering it with things that are not my values, but just to counter the fake narrative by the media.

The fact is, and take it HOWEVER you want... really don't give a shit, most of us are to one point brainwashed by media, including me.

Ukrainians and Russians are not that much different nations that one side is super GOOD and another side super BAD.

Regular Ukrainian and regular Russian didn't decide shit except they were psychologically manipulated to vote and think their vote represents their leader.

Historic wars were led by ambitions, not by the will of the people.

Sure, primitive people are easy to be sold on the war, because who of us haven't been wronged at some point in life. Stuck? And hola, you have a war supporter.

There will never be justice, as long as there is democracy.

Yes, it's better than other forms currently available, like monarchy through bloodline... however, as long as a drunk, illiterate guy who just came to XXX candidate supported concert by his favorite celebrity, can vote for a candidate with the same vote weight as some educated, intelligent, well-researched scientist... there won't be mass justice.

So we need to learn to float in those waters as that won't change in decade(s) to come.

Absolutely the best would be if I'd be a world leader with full authority.

The second best, if there would be some form of establishing whose votes should be valued more. Given the opportunity to everyone to earn them, but make people work.

I don't vote. I never did in my life. Because I know how many noobs there are, my vote is not significant.

Until Ukraine war which I was curious about due to market reasons and due to super powerful internet propaganda, I never witnessed in life (I was not alive during WW2 to see then war propaganda in action)... I started following it.

I am apolitical.

I to this day don't understand much what's left or right, besides one side is conservative other liberal...

Just I am triggered by injustice. And one of strongest is when mind is controlled and they are yelling like they know something, repeating the propaganda they heard 10 minutes ago.

So proud to have you my awaken brother.

We're a secluded island.

Where individual thinking is encouraged. Where your own opinion is formed. Where you're served shades of grey, but rarely if ever black and white.

Where I tell you she is super hot body with fucked up nose... I don't tell you oh she is perfect.

I tell you a coin is amazing, but it's potential shit in one or three areas.

Only smart men can understand that things can exist in shades of grey.

Smart men can understand that a smoking hot physical chick can be a zero for girlfriend, and some average looking chick can be a 10 to date.

Smart men can understand that some real-risk, shitcoin can make more sense for their wallet than some big cap altcoin that still carries the risk of 1) investment 2) market 3) crypto 4) alts...
vs
1) investment 2) market 3) crypto 4) alts 5) small marketcap

Bro, we breed thinking!

BCW baby!
D Man

*haha that moment when you misspell word "literate"

I realized I and women want the same thing.

I am never against women. Fuck, I am actually fighting for them. Just, they have problem within their own ranks - low moral creatures that steal their men, destroy faith in love and condition new generation of weak men to have wrong values.

This world wouldn't bring so much life without women. But not the women I have much against - gold diggers, unfaithful, lazy, inaccurate, ... those are anti-traits for any human, male or female.

The day it became tolerable for women to trade pussy for favors, regular, good ethics women got an enemy.

In today's world, it's common to see women not responding texts, not sticking to deals, being flaky, fakey, lazy, uneducated, illiterate... and yet, a horde of guys chasing them.

No, it is not guy's fault either.

If I wake my dog in the middle of the night, and I show him ball, he will go fetch it.

It's an instinct.

He can fight it. But still, I am provoking him and turning on his internal battles by showing him something he is primed to chase.

100% of women in this channel do not fall into that bad category. Because 1) they are literate, they 2) maybe are educated 3) want something for themselves.

I'd say majority of women don't have OnlyFans.

Minority of women with OnlyFans have majority of internet exposure - instagram, OF, and other forms of digital whoring.

Such women get influence.

Bad mind + big influence = bad society led by weak influenced minds.

I am not afraid for me.

I can fuck them. I will not date them. I'll not break any of my principles for them.

I'm not afraid for many brothers here either. You know what your values are and better no pussy than being a pussy.

I'm afraid for weak tail-chasing men who will become next world leaders... brought up by accepting what should be rejected.

So here I raise a glass to all good women, majority of them and their beauty that doesn't get enough admiration because of the filthy few.

Here I raise a glass to brothers who know their principles, and they won't break them for the blackmail of hot pussy.

And to weak men and unethical, uneducated, zero-morals women... I found peace knowing, with time... strong prevail.

Like in poker, you can get a temporary luck, however, pro poker player puts much more odds in his favor and has greater chances of winning vs noob.

You're a pro bro and sis.

You're BCW!

D Man

P.S. There is one more powerful force. It will sound funny, touchy-feely, but take however you want, it's love. By having fun with quite few of such low quality women, I noticed the silent envy they have when they see: nature, families, real love... Their primitive, gold-digging mentality wouldn't let them go in nature, so the silent envy tells a lot. They know. Trust me bro, they know. No amount of luxury clothes can't trade for the fact some fat greasy grandpa is humping you.

Here's to real things!

Brother, our patience can be tested. It was and is tested. However, if we are determined, we can remain patient. And then, when our time does come, it will be like: "oh, already!" :)

I fully expect alt run this year. Relax now... because when the time comes, you will have plenty of excitement to look forward to.

I informed you of this top. Of bear phase, D Man's Macro fundamental report readers went into further details.. the point is, you my friend are once again at the right side of trade and expectation. There is currently not much to be made for regular spot traders, so patience is the right move.

Cheers my friend!
D Man

Mr. S just published a curious report about TIME.

Every chart consists of price and TIME. This one found an ancient method by stocks trader from seventies, adjusted by Mr. S for Bitcoin shows you when this bull cycle will reach bottom and when top according to this theory.

Very valuable report for strategising, I hope you find it useful. Unlock it here: https://blockchainwhispers.com/signals?signal_anchor=8364

I made this post (spot positions update) from Mr. M free for all now: https://blockchainwhispers.com/signals?signal_anchor=8359 Enjoy

Here's banana.

I know you're hungry. I know you want something different in life. Better. However, impatience is enemy of achievement.

How did it work for you before?

It's easy for me to write "1000x". But you know I'm ethics, trust and loyalty above and before anything. I try to write as conservative and as close to real as I can predict.

Maybe this banana will not satisfy your everpresent hunger, but 3x in slow times, might be better than 0x. Maybe that 3x will be foundation to next 10x becoming 30x. Maybe you'll skip it but will give you ideas of good ways to approach token-selection for your portfolio. Maybe it doesn't make even 3x... and only after I said all this I can say, but maybe, it also pleasantly surprises us!

While I'm waiting on the team, your BCW analysts are now checking projects with similar market category, similar development level where we have close confidence this will get and their marketcaps vs the expected marketcap at launch of this (implemented hard caps with the team in place)...

To understand, look, I don't want noobs, idiots etc. I know in most bullish days I'm not noob's favorite person as I'm telling them about caution education etc. However, I'm the only one followed in bear and bull markets, because I tell as transparently as educated as I am able.

My friend, the truth is at the end of the crypto bull run, there will not be all winners.

Yes, at some point many people might be in green, but due to their lack of proper perspective, they will fail. They will not book, chase the top, be stubborn at chart, having ego, having too much greed, whatever.

This particular opportunity, I know you'd like to see "gazillion X" — but really, of those screaming gazillion X on twitter, how many actually in this period achieved that gazillion X.

This find, at marketcap I assume, vs what the industry average on this developed project without much marketing, so basically taking every bit of figure conservatively, presents an easy and natural 3x opportunity vs the market.

If the market will fly, this will fly with it. Not as some AI coins, etc... but risk vs reward... is in our favor because we have one non-public advantage and that is we know the narrative change while most ignored that news. And plus now we have a slippage free entry.

So, let's say in this bull run avg of this category at this stage will be +10x, this one will be 3x first to category and 10x with the category it's 30x.

If the category or alts will not move, it is still 3x.

If it will drop the entire market 50% instead of pumping 10x, this thing is still +1.5x with some time delay as bear markets make.

Of course, no guarantees, but THIS is why I like such opportunity. Eventually, chart gaps are filled, liquidity voids cleared, and price-to-category equalized.

I know, I know, too advanced shit for avg noob. Wen Lambo? Wen moon?

For that, you have other channels. I'm very happy about this find, and I will invite you to check it when the time comes. I'll invite you not to put all your eggs in this basket, I'll structure it so that you must read and inform yourself before entering... so that at the end of the day, only the real holders get true BCW opportunity.

And even with this, yup, completely non-noob-friendly - we might still fail, project might end up being shit.

But we the real BCW know, given many such opportunities, edge by edge, where we are vs where the rest of the market is.

Remember all those dumps and pumps we predicted. Not all, but more than Twitter did, more than many if not most gurus did, many than sometimes even HUGE trading desks did (remember when I told you Microstrategy bought at the wrong timing, and it proved correct) - and they have a team of top pros...

Brother, we are united into something really powerful. Crypto awarded us with real people having almost the same opportunity as top pros. And we are staying sharp on top of it. This is why I didn't abandon crypto in bear times. Why I traded... so for this next bull run, I am more capable, more educated, more experienced to guide you with maximum edge.

Again, noobs I am sorry but, NO GUARANTEES!

Can you live with that?

Good, then join me and fellow BCW elite-hand brothers on the amazing crypto journey ahead!

D Man

Good news is yes, this year, I do expect to finally us, we all here in crypto to have a 2017-like alt run. Probably the last of its kind. This year, not this day or week. If you can live with it, you might get finally rewarded for years of being in crypto while others abandoned it after long and exhausting red periods. Cheers my loyal bro!

Imagine a guy developing something for years and the village already starts talking "he is nuts, never gonna deliver it" and one day he does, long after everyone stopped checking on him...

Similar find we have here. Not as strong though. They didn't invent anything breakthrough, but they reached that community-dulling moment because they were chasing something else for 2 years, now changed the direction and practically nobody noticed! They are very close to achieving it. And we, BCW, are among the very first to cash-in on the info.

Making a zero-slippage deal with the team, helped them restructure to buy out all previous investors since they got too small, and make even better, healthier (supertight) tokenomics that the market will appreciate.

Stay tuned, will tell more when I can/know.

My biggest concern, slippage at low marketcap is now solved (thanks to BCW reputation that makes teams listen). And tokenomics got even better (no airdrops, team got less, no coins for exchanges,... instead huge percentage for public and liquidity).

Will tell you more, this is just a small teaser why I'm happy about it. Not a gem of the year, but if it works out, it is easy and simple coin due to undervalue to market and category average due to info we know and others don't. It's not a privileged info, it's just something that most, professional market scanners, hobbyists etc overlooked because they assumed the team continued in the old direction, the news of the new direction didn't reach the community.

Sharing more in the following days.

Again, not a gem, but a really good, simple-to-understand opportunity imo.

Think of it this way: it's not a Lamborghini. It's a Prius, but a Prius offered at $1 starting auction and other people not knowing it's a real car, they think it's a toy. You know it's real. That's why I'm hot for this.

You might not reach valuation of Lambo, but if you reach even half the valuation of Prius and you paid $100, or $1000 for the $10,000 car, you did a great job, no?

Stay tuned.. (days, not hours, be relaxed)

Cheers!

I am very excited about this find. It is an undergem. It is not a gem only because it misses some technological breakthrough. Everything else: under the radar; price-to-opportunity; narrative... heck even chain is on the massive-gains train so to speak. I'll tell you about it soon. I made a nice progress with the team to do the crazy thing, to buy out the old investors so you have slippage--free entry. All this, thanks to BCW stellar reputation. Stay tuned. Likely early next week.

Cheers!
D Man

P.S. They asked me when. I said now. I want us actually to do this in red times. It will remain under the radar, and you'll be the lowest buyer possible. No one will be able to dump on you in profit. This is the strong position I like for BCW.

I might have something good to really good for you soon (days)... It is good for small wallets, a bit trouble for medium, a skip for whales this time due to liquidity.

It's a narrative change caught by so few. I love the opportunity and I think you'll be excited we discovered this timely as well. Cheers!

Halved. Weekend volume. Don't trust it. Have a nice weekend instead. Cheers!

P.S. The report is free. I think halving event is crypto public service.

So far it is predictable as we are heading into halving the price shows some green. It's a hook more than likely. S&P500 is continuing in its correction, and this gap is basically retail money expecting immediate post-halving results. Check the report, and then you'll know whether to expect immediate 100x long or not. Cheers my friend!

Discussions

bpwi Lot of crypto projects now just using AI just to follow the hype actually their is no actual AI development. Just hype no real development most of the time using web2

cki8 Dear BMAN, I have around 100 MATIC. Can you please suggest if I need to sell them ?

cgfh 37owpddVFiECWSWbpyWXa1gUfrxrMBXsUa

cjgr It's quite good to see ORDI becoming a potential token & I hope it continues in this stride .

cfb4 https://blockchainwhispers.com/signals#7033

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Recent on-chain data has shown a transfer of 456 million DOGE tokens into crypto exchange Coinbase amidst a flurry of Dogecoin whale transactions across various exchanges in the past 24 hours. The price of DOGE has majorly traded below the $0.165 price level in the past seven days despite the price uptick among other meme coins. These recent events of whale transfers, however, appear to be leading to a bearish view towards DOGE. Transfers of this nature into a crypto exchange point to the whales getting ready to sell off their bags, which risks crashing the DOGE price.  Whales Move 456 Million DOGE To Crypto Exchange Whale Alerts, a crypto whale transaction tracker, has shown various instances of whale transactions in recent hours. Amidst these transactions is the transfer of 456.83 million DOGE tokens worth $68.7 million into popular crypto exchange Coinbase. Interestingly, the transfer of DOGE was made to Coinbase in two bouts of 228 million DOGE, each worth over $34 million. Related Reading: Renowned Economist Reveals What Will Happen If Bitcoin Can’t Hold $60,000 However, considering these transactions were sent in quick succession, the nature of their movement points to them being controlled by the same whale entity.  🚨 🚨 228,105,810 #DOGE (34,341,747 USD) transferred from unknown wallet to #Coinbasehttps://t.co/G8TGqtW5Ws — Whale Alert (@whale_alert) April 26, 2024 🚨 🚨 228,725,906 #DOGE (34,435,104 USD) transferred from unknown wallet to #Coinbasehttps://t.co/ACnqjOBCAO — Whale Alert (@whale_alert) April 26, 2024 A further look into the two whale addresses involved, “DFBx6m” and “DCTpBb”, showed that they no longer hold any tokens at the time of writing. This lends additional credibility to the idea that the transfers were made with the intention of selling off tokens. Notably, on-chain data shows that both addresses have been holding their DOGE tokens since last year, considering the last inflow of DOGE occurred on November 1, 2023. During this time, the price of Dogecoin was trading around $0.068. It is worth noting that DOGE has gone on an over 120% price increase since then, putting the holdings at a significant profit. What’s Next For Dogecoin? At the time of writing, DOGE is trading at $0.1511. The crypto is now on a correction path after failing to substantially break above $0.164 in the past week. The recent movement of nearly half a billion Dogecoin suggests major price volatility could be on the horizon. Furthermore, the recent DOGE rally seems to have stalled out as other altcoins and meme coins gain momentum. Related Reading: Bitcoin Bears Risk Losing $7.2 Billion If BTC Price Reaches This Level While DOGE is currently down by 0.64% in the past seven days, Shiba Inu, PEPE, Dogwifhat, and FLOKI are up by 13.8%, 47.5%, and 32.5% in the same timeframe.  The future of DOGE can be hard to predict. As with any meme coin, Dogecoin remains highly speculative. Its price continues to be volatile and heavily influenced by hype and social media. According to a crypto analyst, DOGE could continue to drop in the short term. Other analysts are bullish on DOGE, with analyst Ali Martinez even predicting a rally to the $1 price mark.  DOGE price falls below $0.15 | Source: DOGEUSDT on Tradingview.com Featured image from Bitcoinist, chart from Tradingview.com

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If interest rates remain high, investors typically steer clear of “risk-on” assets like Bitcoin. AD. AD. Back in January, the Securities and Exchange ...

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The cryptocurrency market is currently under renewed bearish pressure due to significant outflows recorded by the biggest Bitcoin exchange-traded ...

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Key House Republican Would Back Stablecoin-Marijuana Combo Bill  Bloomberg

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For instance, from this graph, we can conclude that given the same time to complete the test, older users typically perform slightly better than their younger counterparts. This can be attributed to differences in visual experience and color perception needs across various age groups. You're invited to participate in the study by using the Dehancer Color Test. The second part of this series will focus on the algorithm used to calculate the number of colors based on the data we have gathered.

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Remote paintings is turning into greater common in recent times, and it is essential to have the right techniques in location to hold matters jogging easily. I'm excited to share with you a few extremely good easy and effective ways to work collectively as a group, even when we're miles apart.

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:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Ryen W. White, Microsoft Research, Redmond, WA, USA. ::: Table of Links Abstract and Taking Search to task AI Copilots Challenges Opportunities The Undiscovered Country and References 5 THE UNDISCOVERED COUNTRY AI copilots will transform how we search. Tasks are central to people’s lives and more support is needed for complex tasks in search settings. Some limited support for these tasks already exists in search engines, but copilots will expand the task frontier to make more tasks actionable and address the “last mile” in search interaction: task completion [58]. Moving forward, search providers should invest in “better together” experiences that utilize copilots plus traditional search, make these joint experiences more seamless for searchers, and add more support for their use in practice, e.g., help people to quickly understand copilot capabilities and potential and/or recommend the best modality for the current task or task stage. This includes experiences where both modalities are offered separately and can be selected by searchers and those where there is unification and the selection happens automatically based on the query and the conversation context. The foundation models that power copilots have other search-related applications, e.g., for generating and applying intent taxonomies [43] or for evaluation [19]. We must retain a continued focus on human-AI cooperation, where searchers stay in control while the degree of system support increases as needed [44], and on AI safety. Searchers need to be able to trust copilots in general but also be able to verify their answers with minimal effort. Overall, the future is bright for IR, and AI research in general, with the advent of generative AI and the copilots that build upon it. Copilots will help augment and empower searchers in their information seeking journeys. Computer science researchers and practitioners should embrace this new era of assistive agents and engage across the full spectrum of exciting practical and scientific opportunities, both within information seeking as we focused on here, and onwards into other important domains such as personal productivity [5] and scientific discovery [22]. REFERENCES [1] Eugene Agichtein, Ryen W White, Susan T Dumais, and Paul N Bennet. 2012. Search, interrupted: understanding and predicting search task continuation. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. 315-324. \ [2] Marcia J Bates. 1990. Where should the person stop and the information search interface start? Information Processing & Management 26, 5 (1990), 575–591. \ [3] Nicholas J Belkin. 1980. Anomalous states of knowledge as a basis for information retrieval. Canadian journal of information science 5, 1 (1980), 133–143. \ [4] Paul N Bennett, Ryen W White, Wei Chu, Susan T Dumais, Peter Bailey, Fedor Borisyuk, and Xiaoyuan Cui. 2012. Modeling the impact of short-and long-term behavior on search personalization. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. 185–194. \ [5] Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, and Idan Gazit. 2022. Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools. Queue 20, 6 (2022), 35–57. \ [6] Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al. 2021. On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258 (2021). \ [7] Lucas Bourtoule, Varun Chandrasekaran, Christopher A Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot. 2021. Machine unlearning. In 2021 IEEE Symposium on Security and Privacy (SP). IEEE, 141–159. \ [8] Andrei Broder. 2002. A taxonomy of web search. In ACM Sigir forum, Vol. 36. ACM New York, NY, USA, 3–10. \ [9] Andrei Z Broder and Preston McAfee. 2023. Delphic Costs and Benefits in Web Search: A utilitarian and historical analysis. arXiv preprint arXiv:2308.07525 (2023). \ [10] Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023. Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint arXiv:2303.12712 (2023). \ [11] Katriina Byström and Kalervo Järvelin. 1995. Task complexity affects information seeking and use. Information processing & management 31, 2 (1995), 191–213. \ [12] Robert Capra and Jaime Arguello. 2023. How does AI chat change search behaviors? arXiv preprint arXiv:2307.03826 (2023). \ [13] Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al. 2023. Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality. See https://vicuna. lmsys. org (accessed 14 April 2023) (2023). \ [14] Antonia Creswell and Murray Shanahan. 2022. Faithful reasoning using large language models. arXiv preprint arXiv:2208.14271 (2022). \ [15] Brenda Dervin. 1998. Sense-making theory and practice: An overview of user interests in knowledge seeking and use. 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A faceted approach to conceptualizing tasks in information seeking. Information processing & management 44, 6 (2008), 1822–1837. \ [30] Yuanchun Li and Oriana Riva. 2021. Glider: A reinforcement learning approach to extract UI scripts from websites. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1420–1430. \ [31] Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2021. Towards understanding and mitigating social biases in language models. In International Conference on Machine Learning. PMLR, 6565–6576. \ [32] Gary Marchionini. 2006. Exploratory search: from finding to understanding. Commun. ACM 49, 4 (2006), 41–46. \ [33] James Mayfield, Eugene Yang, Dawn Lawrie, Samuel Barham, Orion Weller, Marc Mason, Suraj Nair, and Scott Miller. 2023. 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Towards searching as a learning process: A review of current perspectives and future directions. Journal of Information Science 42, 1 (2016), 19–34. \ [38] Shawon Sarkar and Chirag Shah. 2021. An integrated model of task, information needs, sources and uncertainty to design task-aware search systems. In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval. 83–92. \ [39] Reijo Savolainen. 2012. Expectancy-value beliefs and information needs as motivators for task-based information seeking. Journal of Documentation 68, 4 (2012), 492–511. \ [40] Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023. Toolformer: Language models can teach themselves to use tools. arXiv preprint arXiv:2302.04761 (2023). \ [41] Chirag Shah. 2023. Generative AI and the Future of Information Access. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (Birmingham, United Kingdom) (CIKM ’23). Association for Computing Machinery, New York, NY, USA, 3. https://doi.org/10.1145/3583780.3615317 \ [42] Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, and Nicholas Belkin. 2023. Taking search to task. In Proceedings of the 2023 Conference on Human Information Interaction and Retrieval. 1–13. \ [43] Chirag Shah, Ryen W White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, et al. 2023. Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. arXiv preprint arXiv:2309.13063 (2023). \ [44] Ben Shneiderman. 2022. Human-centered AI. Oxford University Press. \ [45] Adish Singla, Ryen White, and Jeff Huang. 2010. Studying trailfinding algorithms for enhanced web search. 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In Proceedings of the 2020 Conference on Human Information Interaction and Retrieval. 43–52. \ \ [50] Paul Thomas, Seth Spielman, Nick Craswell, and Bhaskar Mitra. 2023. Large language models can accurately predict searcher preferences. arXiv preprint arXiv:2309.10621 (2023). \ [51] Randall H Trigg. 1988. Guided tours and tabletops: Tools for communicating in a hypertext environment. ACM Transactions on Information Systems (TOIS) 6, 4 (1988), 398–414. \ [52] Sarah K Tyler and Jaime Teevan. 2010. Large scale query log analysis of re-finding. In Proceedings of the third ACM international conference on Web search and data mining. 191–200. \ [53] Pertti Vakkari. 2001. A theory of the task-based information retrieval process: A summary and generalisation of a longitudinal study. Journal of documentation 57, 1 (2001), 44–60. \ [54] Pertti Vakkari. 2016. Searching as learning: A systematization based on literature. 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In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (Taipei, Taiwan) (SIGIR ’23). Association for Computing Machinery, New York, NY, USA, 5–6. https://doi.org/10.1145/3539618.3593069 \ [62] Ryen W White, Mikhail Bilenko, and Silviu Cucerzan. 2007. Studying the use of popular destinations to enhance web search interaction. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval. 159–166. \ [63] Ryen W White, Wei Chu, Ahmed Hassan, Xiaodong He, Yang Song, and Hongning Wang. 2013. Enhancing personalized search by mining and modeling task behavior. In Proceedings of the 22nd international conference on World Wide Web. 1411–1420. \ [64] Ryen W White, Adam Fourney, Allen Herring, Paul N Bennett, Nirupama Chandrasekaran, Robert Sim, Elnaz Nouri, and Mark J Encarnación. 2019. Multi-device digital assistance. Commun. ACM 62, 10 (2019), 28–31. \ [65] Ryen W White, Ian Ruthven, and Joemon M Jose. 2005. A study of factors affecting the utility of implicit relevance feedback. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval. 35–42. \ [66] Ryen W White, Ian Ruthven, Joemon M Jose, and CJ Van Rijsbergen. 2005. Evaluating implicit feedback models using searcher simulations. ACM Transactions on Information Systems (TOIS) 23, 3 (2005), 325–361. \ [67] Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023. AutoGen: Enabling nextgen LLM applications via multi-agent conversation framework. arXiv preprint arXiv:2308.08155 (2023). \ [68] Iris Xie. 2008. Interactive information retrieval in digital environments. IGI global. \ [69] Jinyun Yan, Wei Chu, and Ryen W White. 2014. Cohort modeling for enhanced personalized search. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval. 505–514. \ [70] Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, et al. 2021. Differentially private fine-tuning of language models. arXiv preprint arXiv:2110.06500 (2021). \ [71] Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck. 2020. Generating clarifying questions for information retrieval. In Proceedings of the web conference 2020. 418–428. \ [72] Jieyu Zhang, Ranjay Krishna, Ahmed H Awadallah, and Chi Wang. 2023. EcoAssistant: Using LLM Assistant More Affordably and Accurately. arXiv preprint arXiv:2310.03046 (2023). \ [73] Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, and Dan Roth. 2021. Learning to decompose and organize complex tasks. 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Top 100 Coins By Market Cap

NEXT BTC MOVE:

I think Bitcoin goes UP because

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Bitcoin Bitcoin (BTC) $62,517.67 $1.23 T -2.46%
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Huobi Token Huobi Token (HT) $0.58322000 $93.59 M -2.79%
Akash Network Akash Network (AKT) $4.43 $1.04 B -6.99%
Axie Infinity Axie Infinity (AXS) $7.06 $1.02 B -1.73%
Chiliz Chiliz (CHZ) $0.11432000 $1.02 B -2.09%
Wormhole Wormhole (W) $0.56242525 $1.01 B -9.08%
The Sandbox The Sandbox (SAND) $0.44330000 $1.00 B -2.53%
eCash eCash (XEC) $0.00005016 $996.13 M -3.28%
dYdX (Native) dYdX (Native) (DYDX) $2.09 $972.59 M -3.64%
Tezos Tezos (XTZ) $0.97400000 $962.44 M -1.42%
dYdX dYdX (DYDX) $2.06 $653.70 M -3.25%
KuCoin Token KuCoin Token (KCS) $9.95 $956.82 M -2.13%
Conflux Conflux (CFX) $0.23480000 $940.20 M -5.89%
Synthetix Synthetix (SNX) $2.81 $921.36 M -3.75%
EOS EOS (EOS) $0.81000000 $916.18 M 1.02%
Worldcoin Worldcoin (WLD) $4.47 $892.64 M -4.78%
Mina Mina (MINA) $0.80775157 $883.04 M -3.77%
JasmyCoin JasmyCoin (JASMY) $0.01777900 $878.14 M -3.73%
ORDI ORDI (ORDI) $41.34 $868.13 M -1.06%
Ronin Ronin (RON) $2.72 $858.34 M -8.72%
Pyth Network Pyth Network (PYTH) $0.56200000 $847.39 M -5.75%
Decentraland Decentraland (MANA) $0.44278727 $844.98 M -2.95%
Gnosis Gnosis (GNO) $322.20 $840.13 M -2.11%
Starknet Starknet (STRK) $1.13 $820.18 M -3.57%
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