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Bitcoin dips to $65k as Fezoo positions itself against Binance and OKX – crypto.news

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

As Bitcoin dips to $65K ahead of its halving, investors are turning their attention to Fezoo, a new exchange poised to challenge industry leaders Binance and OKX.

The dynamic crypto trading has continued and Bitcoin has fallen to $65,000. This is ahead of Bitcoin halving. Investors are expecting that the current decline doesnt change the outlook on their return on investment much before halving.

Meanwhile, Fezoo is set to rival exchange giants like Binance and OKX, which have established themselves as the best in the market. The exchange platform Fezoo has continued trading, now in stage one and trading for $0.013.

For market observers, Bitcoins market changes have been a cause for alarm. There has been both an upward increase and a downward decrease in recent times. Though the token is currently on a downward spiral, analysts wonder what the trading outcome will be. Bitcoin has been a huge market conversation on its effect on different tokens in anticipation of halving.

Bitcoin holders are currently gearing towards the lucrative market project that has attracted investors attention. As the new exchange platform Fezoo markets itself as a major disruptor, it has presented many market possibilities. Bitcoin has remained the number one token in terms of market cap and blue-chip crypto, symbolizing a huge opportunity.

While currently less competitive, the launch of Fezoo is poised to significantly impact the market dynamics. As competition intensifies, established exchanges like Binance and OKX, which operate under centralized governance, are taking notice. In contrast, Fezoo offers decentralized governance, enabling users to make key decisionsa feature absent in centralized platforms.

Beyond serving as exchange platforms, Binance and OKX also offer tokensBinance Coin and OKB. These tokens, too, have been impacted by the recent market downturn. Amid these challenges, Fezoo has emerged as a beacon of hope for many in the market, anticipating its potential to rejuvenate market activity.

Fezoo is poised to establish itself as a blue-chip cryptocurrency, with rising demand for its offerings. In its trading environment, users maintain full control over their funds and face fewer trading restrictions, such as KYC checks, enabling a more streamlined trading experience.

Those who are interested in trading can easily sign up and successfully trade on the platform. In addition to trading, users can provide liquidity on pairs listed on the exchange. The numerous utilities found on Fezoo are staking rewards and swap services. Others are the platforms revenue fees, reward program, decentralized governance, and VIP program.

The platforms goal is to connect traders around the world so they can trade successfully. Compared to traditional platforms, fees are lower, and transactions are instant. The platforms audit has been passed, and liquidity will be locked for life.

To learn more about Fezoo, visit the website.

Disclosure: This content is provided by a third party. crypto.news does not endorse any product mentioned on this page. Users must do their own research before taking any actions related to the company.

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Binance and the academic elite collaborate to train in Web3 – Cointribune EN

Wed 17 Apr 2024 3 min of reading by Fenelon L.

Binance, the crypto exchange giant, partners with renowned European universities to offer a new generation of accredited Web3 courses. This ambitious project aims to democratize access to blockchain education and prepare students for the jobs of tomorrow.

Binance, the global giant of crypto exchanges, is taking a new step in its educational commitment by launching Web3 courses accredited by leading European universities.

In a press release published on its blog, Binance Academy, the educational arm of Binance, announced partnerships with three prestigious European universities: the Prague University of Economics and Business (VE), the European Business Institute (EBI) in Luxembourg, and ESCP Business School.

Together, they have designed a series of certifying courses on digital assets and blockchain technology. Developed by professors specializing in crypto, these programs will cover all essential aspects, from the operation of Bitcoin to advanced applications of DeFi.

Education plays a crucial role in fostering the adoption of these revolutionary technologies, emphasizes Yi He, co-founder of Binance. We want to offer affordable access to these courses to prepare future generations for the jobs of tomorrow.

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In this context, Binance has set a promotional registration fee of only 4 USDT, compared to the initially planned 10 USDT. Upon completion of the course, participants will receive a certificate jointly issued by the partner university and Binance Academy.

This initiative is part of Binances goal to become a major player in blockchain education worldwide. In fact, the crypto giant is even considering establishing a permanent headquarters, a strategic change from its previous model. With its considerable resources, Binance could create its own physical university dedicated to Web3 technologies.

Moreover, more recently, on March 19, Changpeng Zhao, the founder of Binance, launched the Giggle Academy, a free online education platform that aims to make education more engaging and interactive through gaming.

By collaborating with reputable academic institutions, Binance hopes to stimulate the adoption of blockchain and prepare students for the emerging jobs of this rapidly expanding ecosystem. A winning approach to bridge the skills gap and facilitate the smooth integration of these revolutionary technologies.

Maximize your Cointribune experience with our 'Read to Earn' program! Earn points for each article you read and gain access to exclusive rewards. Sign up now and start accruing benefits.

Passionn par le Bitcoin, j'aime explorer les mandres de la blockchain et des cryptos et je partage mes dcouvertes avec la communaut. Mon rve est de vivre dans un monde o la vie prive et la libert financire sont garanties pour tous, et je crois fermement que Bitcoin est l'outil qui peut rendre cela possible.

DISCLAIMER

The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.

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Binance and the academic elite collaborate to train in Web3 - Cointribune EN

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Top 3 Reasons Why Binance Coin (BNB), Uniswap (UNI), and DTX Exchange (DTX) Will Lead Crypto Trading After … – Crypto Reporter

Bitcoins fluctuating movements triggered a bearish sentiment over the broader crypto market; however, the market remains optimistic, with investors preparing for the potential surge in the coming weeks as the anticipated halving event inches closer.

In this article, we shed some light on the prospects of 3 projects that have been in the limelight as the excitement builds up with less than four days left in the Bitcoin halving event.

Ranked among the top 5 cryptocurrencies with a market cap of over $83 billion, Binance holds a spot as one of the most prominent players in the crypto space. Its positive trajectory in Q1 gained attention as its value soared from $300 to above the $500 threshold.

Its ascent compared to the past year reignited hopes of retesting its all-time high in 2024; however, Bitcoins volatility has impeded further growth in the pre-halving phase.

Despite the current fluctuating market, BNB has demonstrated its resilience and is trading above $550, as shown by CoinMarketCap data. As excitement builds up for the upcoming halving event, analysts forecast a bullish reversal in the coming weeks.

Ongoing developments in the BNB chain have fueled anticipations for further growth in 2024, with the One BNB strategy set to integrate Binance Smart Chain (BSC), opBNB, and Greenfield ecosystems to increase decentralization and enhance user experience.

Uniswap (UNI) became one of the notable gainers in Q1 of 2024, showcasing a 2X surge in March. However, the excitement was short-lived as a major correction was observed, and it retreated above the $7 threshold.

This decentralized trading platform gained popularity for introducing automated market makers (AMMs) to facilitate the trading of DeFi tokens. It stands out among exchange platforms for its improved efficiency by solving liquidity issues with its automated approach.

According to CoinMarketCap, the UNI token has observed an uptick in the past 24 hours and is trading above the $7.20 level. Its recent correction coincided with the broader crypto ecosystem, and with expectations mounting for the upcoming halving, experts forecast a bullish outlook in the coming weeks.

A new project, DTX Exchange, is drawing attention with its revolutionary hybrid approach, which is primed to capitalize on decentralized and centralized platforms.

DTX Exchange is drawing attention with its unmatched potential, offering a staggering 25X ROI potential backed by diverse trading options. With over 2 million raised in the private seed round, the demand for the token has surged.

Investors are lining up to become early adopters of this next-generation project, which has raised over 230k in stage 1 of its presale. Traders are excited for the launch of DTX thanks to the following key features:

It negates any KYC (know your customer) requirements with its unique hybrid model that integrates centralized and decentralized technologies. This innovative feature allows for a seamless user experience while maintaining privacy and security benefits.

This platform offers a stunning 1000X leverage feature, allowing users to generate high returns with minimal capital required.

By utilizing distributed liquidity pools, DTX Exchange enhances liquidity while reducing slippage, creating a more efficient trading environment.

To enhance the security of its assets, DTX Exchange uses a noncustodial wallet approach that gives its users full control over their private keys and digital assets. This model significantly reduces the risk of loss due to unexpected threats.

Additionally, the DTX token stands out for its attractive potential, as holders will be conferred governance rights along with loyalty rewards and access to premium features. As anticipations rise, investors have been rushing to join its presale to buy the token at the low price of $0.02.

Learn more: Visit DTX Presale Read Whitepaper Join The DTX Community

Disclaimer: The statements, views and opinions expressed in this article are solely those of the content provider and do not necessarily represent those of Crypto Reporter. Crypto Reporter is not responsible for the trustworthiness, quality, accuracy of any materials in this article. This article is provided for educational purposes only. Crypto Reporter is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article. Do your research and invest at your own risk.

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Top 3 Reasons Why Binance Coin (BNB), Uniswap (UNI), and DTX Exchange (DTX) Will Lead Crypto Trading After ... - Crypto Reporter

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Justin Sun Moves $196M Tether: What’s He Buying? – Cryptonews

Last updated: April 17, 2024 17:52 EDT | 2 min read

On April 17, blockchain investigator Lookonchain revealed a substantial transfer of USDT to Binance by Tron Founder, Justin Sun. This move follows a pattern of USDT deposits to Binance and ongoing Ether acquisitions by Sun.

Lookonchains post on X detailed the transfer of $196 million worth of USDT from Huobi to a Binance wallet address by Justin Sun. This transfer occurred in three separate batches: $40 million, $56 million, and $96 million.

According to Arkhams data, Sun owns over $1 billion in assets across various wallets linked to him, with $280 million USDD algorithmic stablecoin being his largest holding.

Justin Suns recent transfer coincides with Binances suspension of USDC transactions on the Tron blockchain on March 25. This suspension, encompassing both deposits and withdrawals of the stablecoin, is believed by some to be a response to regulatory scrutiny.

The purpose of this large transfer remains unclear, fueling debate on X. Some view the transfer as insignificant, while others speculate about potential questionable activities between Sun and Binance.

Justin Sun has a history of engaging in substantial cryptocurrency transactions. On February 29, he deposited 100 million USDT to Binance, shortly after a wallet associated with him acquired 168,369 ETH at an average price of $2,894, totaling approximately $580.5 million.

Suns blockchain, the Tron network has recorded a series of downtrends lately, including the depegging of its affiliated stablecoin, TrueUSD.

Suns activities are not isolated, as the broader cryptocurrency landscape has seen a surge in whale activity.

Over the past few months, there has been a notable increase in crypto whale activities, with major players making major moves. Earlier in March, the fifth-richest Bitcoin whale transferred over $6 billion worth of BTC.

Arkham Intelligence data also revealed that Amber Group transferred 1 million Arbitrum (ARB) tokens to Coinbase, totaling $1.13 million. This came after a previous transfer of $9.43 million worth of ARB to an exchange address in March, leaving a balance of $3.57 million.

A multi-signature wallet address had also, on April 17, withdrew 6,513 staked ETH from Lido. The unknown wallet owner subsequently deposited 5,100 ETH, valued at $15.72 million, on the OKX exchange.

DeBank data shows a Uniswap (UNI) whale accumulating tokens since October 2023, withdrawing from the MEXC exchange and purchasing on-chain at an average price of $6.20. This whale recently sold their UNI holdings for $6.83, realizing a profit of $250,000 (approximately +10%).

Major crypto whale sell-offs have historically been interpreted as bearish indicators, suggesting potential profit-taking by holders.

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Justin Sun Moves $196M Tether: What's He Buying? - Cryptonews

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New Hybrid Exchange Token Expected To Be Listed On Binance After BTC Halving, Investors Jumping To Invest At $0.02 – Blockchain Magazine

April 17, 2024 by Editor's Desk

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DTX Exchange, a hybrid crypto platform, gains traction with its presale, eyeing a Binance listing post-Bitcoin halving. Combining decentralized security with centralized liquidity, DTX offers a diverse asset range, high leverage trading, and zero commissions. Investors see potential in DTXs presale at $0.02, anticipating market growth and a Binance listing boost. The world of hybrid

The world of hybrid cryptocurrency exchanges is exciting. Investors live for feature wars between emerging and established exchanges because it benefits them at the end of the day. A new cryptocurrency exchange, DTX Exchange, is generating buzz with its ongoing presale, especially now that there is news of a potential Binance listing post-Bitcoin halving. Lets explore what DTX Exchange brings to the table and why investors are jumping into its presale.

Centralized exchanges (CEXs) have served the market well by providing a platform for traders to buy and sell digital assets. However, traditional exchanges come with inherent flaws, one of which is counterparty risks. Centralized crypto exchanges remain in control of your funds, which is risky in the event of a security breach.

Flaws like this gave birth to decentralized exchanges (DEXs). Decentralized exchanges operate on a peer-to-peer (P2P) network, empowering users to retain control of their crypto assets and security keys throughout the trading process. Its good that DEXs prioritize security and transparency, but the issue of liquidity and user experience persists.

Hybrid exchanges like DTX Exchange find a sweet spot between decentralized and centralized exchanges. They provide the security and transparency of DEXs alongside the liquidity and user-friendliness of CEXs. This innovative fusion attracts a wider audience and caters to investors different emphases.

DTX isnt joining the hybrid exchange market as a new entrant; its features, offering, and positioning suggest an emergence to lead the hybrid exchange market

. The foundation of DTXs mission is to create a secure, transparent, and inclusive trading environment. The expression of this mission, however, looks something like:

DTX aims to hold the record for the cryptocurrency exchange with the largest range of assets, hitting over 120,000 financial instruments across cryptocurrencies, foreign exchange, stocks, equities, and contract-for-differences (CFDs). However, beyond the record, DTX is building a one-stop hub platform that can cater to all the needs of different traders. Whatever youre looking for, try DTX.

With a 1000x margin trading option, traders can greatly increase their potential earnings. While its important to note the downside of this, which is massive loss in a bad trade, the positives of this remain enticing and welcomed by experienced traders.

Transaction fees and hidden fees are two issues traders grapple with in centralized exchanges. DTX promises a trading environment where traders can get the entirety of their hard work without sharing. This could be appealing to investors who have had their ration shortened in the past.

The rumors running around of DTX potentially listing on Binance, the largest cryptocurrency exchange in the world, has no doubt intensified investor interest in DTX. A move like that will expose DTX to a wider and more dynamic audience base, increasing its potential for growth and market domination among hybrid exchanges.

With its ongoing presale at $0.02, DTX presents investors with a low-risk, high-reward opportunity. DTXs value proposition, investor sentiments, and favorable speculation will undoubtedly contribute to a surge in price if overall market conditions maintain relative stability.

To learn more about DTX Exchange, visit DTXs presale website or join DTXs Telegram community.

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New Hybrid Exchange Token Expected To Be Listed On Binance After BTC Halving, Investors Jumping To Invest At $0.02 - Blockchain Magazine

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Google Maps will use AI to help you find out-of-the-way EV chargers – The Verge

Google Maps is rolling out some new updates designed to make locating an electric vehicle charging station less stressful. And to accomplish this, it will (of course) lean heavily on artificial intelligence.

Google says it will use AI to summarize customer reviews of EV chargers to display more specific directions to certain chargers, such as those located in parking garages or more hard-to-find places. And there will be more prompts in the app to encourage users to submit their feedback after using an EV charger which will then be fed into the algorithm for future AI-powered summaries.

Google Maps users will be asked to submit details like whether the charging session was successful or the type of plug they used. Those details will then be used to offer more accurate descriptions of EV chargers for future customers.

This isnt the first time that Google has touted its use of AI to improve the experience for EV owners. Previously, the company has deployed AI tools to help with route planning and EV plug locating.

In addition, EV owners will now be able to see quick and useful information about charging when their vehicles battery starts to get low. Real-time plug availability and charging speeds will be viewable on native versions of Google Maps in cars with the companys software built in, like some existing Volvo and Polestar models. Those cars are also getting native versions of Google Maps that suggest charging breaks on multi-stop journeys.

Lastly, Google Maps will take EV chargers under consideration when travelers are looking for places to stop overnight. The company is adding an EV charger filter to its travel search tool so EV owners can find spots with charging plugs.

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The AI That Could Heal a Divided Internet – TIME

In the 1990s and early 2000s, technologists made the world a grand promise: new communications technologies would strengthen democracy, undermine authoritarianism, and lead to a new era of human flourishing. But today, few people would agree that the internet has lived up to that lofty goal.

Today, on social media platforms, content tends to be ranked by how much engagement it receives. Over the last two decades politics, the media, and culture have all been reshaped to meet a single, overriding incentive: posts that provoke an emotional response often rise to the top.

Efforts to improve the health of online spaces have long focused on content moderation, the practice of detecting and removing bad content. Tech companies hired workers and built AI to identify hate speech, incitement to violence, and harassment. That worked imperfectly, but it stopped the worst toxicity from flooding our feeds.

There was one problem: while these AIs helped remove the bad, they didnt elevate the good. Do you see an internet that is working, where we are having conversations that are healthy or productive? asks Yasmin Green, the CEO of Googles Jigsaw unit, which was founded in 2010 with a remit to address threats to open societies. No. You see an internet that is driving us further and further apart.

What if there were another way?

Jigsaw believes it has found one. On Monday, the Google subsidiary revealed a new set of AI tools, or classifiers, that can score posts based on the likelihood that they contain good content: Is a post nuanced? Does it contain evidence-based reasoning? Does it share a personal story, or foster human compassion? By returning a numerical score (from 0 to 1) representing the likelihood of a post containing each of those virtues and others, these new AI tools could allow the designers of online spaces to rank posts in a new way. Instead of posts that receive the most likes or comments rising to the top, platforms couldin an effort to foster a better communitychoose to put the most nuanced comments, or the most compassionate ones, first.

Read More: How Americans Can Tackle Political Division Together

The breakthrough was made possible by recent advances in large language models (LLMs), the type of AI that underpins chatbots like ChatGPT. In the past, even training an AI to detect simple forms of toxicity, like whether a post was racist, required millions of labeled examples. Those older forms of AI were often brittle and ineffectual, not to mention expensive to develop. But the new generation of LLMs can identify even complex linguistic concepts out of the box, and calibrating them to perform specific tasks is far cheaper than it used to be. Jigsaws new classifiers can identify attributes like whether a post contains a personal story, curiosity, nuance, compassion, reasoning, affinity, or respect. It's starting to become feasible to talk about something like building a classifier for compassion, or curiosity, or nuance, says Jonathan Stray, a senior scientist at the Berkeley Center for Human-Compatible AI. These fuzzy, contextual, know-it-when-I-see-it kind of concepts we're getting much better at detecting those.

This new ability could be a watershed for the internet. Green, and a growing chorus of academics who study the effects of social media on public discourse, argue that content moderation is necessary but not sufficient to make the internet a better place. Finding a way to boost positive content, they say, could have cascading positive effects both at the personal levelour relationships with each otherbut also at the scale of society. By changing the way that content is ranked, if you can do it in a broad enough way, you might be able to change the media economics of the entire system, says Stray, who did not work on the Jigsaw project. If enough of the algorithmic distribution channels disfavored divisive rhetoric, it just wouldnt be worth it to produce it any more.

One morning in late March, Tin Acosta joins a video call from Jigsaws offices in New York City. On the conference room wall behind her, there is a large photograph from the 2003 Rose Revolution in Georgia, when peaceful protestors toppled the countrys Soviet-era government. Other rooms have similar photos of people in Syria, Iran, Cuba and North Korea using tech and their voices to secure their freedom, Jigsaws press officer, who is also in the room, tells me. The photos are intended as a reminder of Jigsaws mission to use technology as a force for good, and its duty to serve people in both democracies and repressive societies.

On her laptop, Acosta fires up a demonstration of Jigsaws new classifiers. Using a database of 380 comments from a recent Reddit thread, the Jigsaw senior product manager begins to demonstrate how ranking the posts using different classifiers would change the sorts of comments that rise to the top. The threads original poster had asked for life-affirming movie recommendations. Sorted by the default ranking on Redditposts that have received the most upvotesthe top comments are short, and contain little beyond the titles of popular movies. Then Acosta clicks a drop-down menu, and selects Jigsaws reasoning classifier. The posts reshuffle. Now, the top comments are more detailed. You start to see people being really thoughtful about their responses, Acosta says. Heres somebody talking about School of Rocknot just the content of the plot, but also the ways in which the movie has changed his life and made him fall in love with music. (TIME agreed not to quote directly from the comments, which Jigsaw said were used for demonstrative purposes only and had not been used to train its AI models.)

Acosta chooses another classifier, one of her favorites: whether a post contains a personal story. The top comment is now from a user describing how, under both a heavy blanket and the influence of drugs, they had ugly-cried so hard at Ke Huy Quans monologue in Everything Everywhere All at Once that theyd had to pause the movie multiple times. Another top comment describes how a movie trailer had inspired them to quit a job they were miserable with. Another tells the story of how a movie reminded them of their sister, who had died 10 years earlier. This is a really great way to look through a conversation and understand it a little better than [ranking by] engagement or recency, Acosta says.

For the classifiers to have an impact on the wider internet, they would require buy-in from the biggest tech companies, which are all locked in a zero-sum competition for our attention. Even though they were developed inside Google, the tech giant has no plans to start using them to help rank its YouTube comments, Green says. Instead, Jigsaw is making the tools freely available for independent developers, in the hopes that smaller online spaces, like message boards and newspaper comment sections, will build up an evidence base that the new forms of ranking are popular with users.

Read More: The Subreddit /r/Collapse Has Become the Doomscrolling Capital of the Internet. Can Its Users Break Free?

There are some reasons to be skeptical. For all its flaws, ranking by engagement is egalitarian. Popular posts get amplified regardless of their content, and in this way social media has allowed marginalized groups to gain a voice long denied to them by traditional media. Introducing AI into the mix could threaten this state of affairs. A wide body of research shows that LLMs have plenty of ingrained biases; if applied too hastily, Jigsaws classifiers might end up boosting voices that are already prominent online, thus further marginalizing those that arent. The classifiers could also exacerbate the problem of AI-generated content flooding the internet, by providing spammers with an easy recipe for AI-generated content thats likely to get amplified. Even if Jigsaw evades those problems, tinkering with online speech has become a political minefield. Both conservatives and liberals are convinced their posts are being censored; meanwhile, tech companies are under fire for making unaccountable decisions that affect the global public square. Jigsaw argues that its new tools may allow tech platforms to rely less on the controversial practice of content moderation. But theres no getting away from the fact that changing what kind of speech gets rewarded online will always have political opponents.

Still, academics say that given a chance, Jigsaws new AI tools could result in a paradigm shift for social media. Elevating more desirable forms of online speech could create new incentives for more positive onlineand possibly offlinesocial norms. If a platform amplifies toxic comments, then people get the signal they should do terrible things, says Ravi Iyer, a technologist at the University of Southern California who helps run the nonprofit Psychology of Technology Research Network. If the top comments are informative and useful, then people follow the norm and create more informative and useful comments.

The new algorithms have come a long way from Jigsaws earlier work. In 2017, the Google unit released Perspective API, an algorithm for detecting toxicity. The free tool was widely used, including by the New York Times, to downrank or remove negative comments under articles. But experimenting with the tool, which is still available online, reveals the ways that AI tools can carry hidden biases. Youre a f-cking hypocrite is, according to the classifier, 96% likely to be a toxic phrase. But many other hateful phrases, according to the tool, are likely to be non-toxic, including the neo-Nazi slogan Jews will not replace us (41%) and transphobic language like trans women are men (36%). The tool breaks when confronted with a slur that is commonly directed at South Asians in the U.K. and Canada, returning the error message: We don't yet support that language, but we're working on it!

To be sure, 2017 was a very different era for AI. Jigsaw has made efforts to mitigate biases in its new classifiers, which are unlikely to make such basic errors. Its team tested the new classifiers on a set of comments that were identical except for the names of different identity groups, and said it found no hint of bias. Still, the patchy effectiveness of the older Perspective API serves as a reminder of the pitfalls of relying on AI to make value judgments about language. Even todays powerful LLMs are not free from bias, and their fluency can often conceal their limitations. They can discriminate against African American English; they function poorly in some non-English languages; and they can treat equally-capable job candidates differently based on their names alone. More work will be required to ensure Jigsaws new AIs dont have less visible forms of bias. Of course, there are things that you have to watch out for, says Iyer, who did not work on the Jigsaw project. How do we make sure that [each classifier] captures the diversity of ways that people express these concepts?

In a paper published earlier this month, Acosta and her colleagues set out to test how readers would respond to a list of comments ranked using Jigsaws new classifiers, compared to comments sorted by recency. They found that readers preferred the comments sorted by the classifiers, finding them to be more informative, respectful, trustworthy, and interesting. But they also found that ranking comments by just one classifier on its own, like reasoning, could put users off. In its press release launching the classifiers on Monday, Jigsaw says it intends for its tools to be mixed and matched. Thats possible because all they do is return scores between zero and oneso its possible to write a formula that combines several scores together into a single number, and use that number as a ranking signal. Web developers could choose to rank comments using a carefully-calibrated mixture of compassion, respect, and curiosity, for example. They could also throw engagement into the mix as well to make sure that posts that receive lots of likes still get boosted too.

Just as removing negative content from the internet has received its fair share of pushback, boosting certain forms of desirable content is likely to prompt complaints that tech companies are putting their thumbs on the political scales. Jigsaw is quick to point out that its classifiers are not only apolitical, but also propose to boost types of content that few people would take issue with. In tests, Jigsaw found the tools did not disproportionately boost comments that were seen by users as unfavorable to Republicans or Democrats. We have a track record of delivering a product thats useful for publishers across the political spectrum, Green says. The emphasis is on opening up conversations. Still, the question of power remains: who gets to decide which kinds of content are desirable? Jigsaws hope is that by releasing the technology publicly, different online spaces can each choose what works for themthus avoiding any one hegemonic platform taking that decision on behalf of the entire internet.

For Stray, the Berkeley scientist, there is a tantalizing prospect to an internet where positive content gets boosted. Many people, he says, think of online misinformation as leading to polarization. And it can. But it also works the other way around, he says. The demand for low-quality information arises, at least in part, because people are already polarized. If the tools result in people becoming less polarized, then that should actually change the demand-side for certain types of lower quality content. Its hypothetical, he cautions, but it could lead to a virtuous circle, where declining demand for misinformation feeds a declining supply.

Why would platforms agree to implement these changes? Almost by definition, ranking by engagement is the most effective way to keep users onsite, thus keeping eyeballs on the ads that drive up revenue. For the big platforms, that means both the continued flow of profits, and the fact that users arent spending time with a competitors app. Replacing engagement-based ranking with something less engaging seems like a tough ask for companies already battling to keep their users attention.

Thats true, Stray says. But, he notes that there are different forms of engagement. Theres short-term engagement, which is easy for platforms to optimize for: is a tweak to a platform likely to make users spend more time scrolling during the next hour? Platforms can and do make changes to boost their short-term engagement, Stray saysbut those kinds of changes often mean boosting low-quality, engagement-bait types of content, which tend to put users off in the long term.

The alternative is long-term engagement. How might a change to a platform influence a users likelihood of spending more time scrolling during the next three months? Long-term engagement is healthier, but far harder to optimize for, because its harder to isolate the connection between cause and effect. Many different factors are acting upon the user at the same time. Large platforms want users to be returning over the long term, Stray says, and for them to cultivate healthy relationships with their products. But its difficult to measure, so optimizing for short-term engagement is often an easier choice.

Jigsaws new algorithms could change that calculus. The hope is, if we get better at building products that people want to use in the long run, that will offset the race to the bottom, Stray says. At least somewhat.

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The AI That Could Heal a Divided Internet - TIME

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2 Superb Artificial Intelligence (AI) Growth Stocks to Buy Before They Soar 63% and 70%, According to Select Wall … – The Motley Fool

Two of last year's biggest winners still have room to run.

The past year or so has marked a coming-of-age story for artificial intelligence (AI). Generative AI's ability to generate original content and streamline time-consuming processes represents a potential step change in how business gets done. The opportunity to profit from the productivity gains made possible by these next-generation algorithms has many companies scrambling to determine how best to integrate them into their day-to-day operations.

Despite generating market-beating performances in 2023, some market watchers believe there's more to come for AI stocks. In fact, a pair of Wall Street analysts suggest two still have potential upside of 63% and 70% over the coming year.

Image source: Getty Images.

If there is one stock that exemplifies the potential represented by recent advancements in AI, Nvidia (NVDA -3.87%) would certainly be in the running. Its graphics processing units (GPUs) use parallel processing, the ability to process a magnitude of mathematical calculations simultaneously by breaking the data into smaller chunks to make it more manageable. This not only revolutionized gaming but also enabled the evolution of AI.

In the company's fiscal 2024 (ended Jan. 28), Nvidia delivered revenue that grew 126% year over year to roughly $61 billion, while its diluted earnings per share (EPS) soared 586% to $11.93. For its fiscal 2025 first quarter (ends April 30), Nvidia is guiding for record revenue of $24 billion, an increase of 234% year over year. Management left no doubt that the accelerating demand for generative AI was behind the surge.

Despite the stock rising 488% since the start of 2023 (as of this writing), Rosenblatt analyst Hans Mosesmann, the self-professed "most bullish analyst on Nvidia," has a buy rating and a Street-high price target of $1,400 on the stock. That represents potential upside of 63% compared to Monday's closing price. Mosesmann said, "The shift to accelerated compute away from general compute is reaching a tipping point, and a disruptive new app, generative AI, is creating a whole new industry."

The analyst isn't alone in his bullish take. Of the 56 analysts who issued an opinion in March, 52 rated the stock a buy or strong buy, and not one recommended selling. That's amazing, considering Wall Street never agrees on anything.

Nvidia stock is currently selling for 34 times forward earnings. While that's a premium to the multiple of 27 for the S&P 500, the company's triple-digit growth and strong tailwinds suggest it's worthy of a premium.

While Nvidia provides the GPUs necessary to train and run AI systems, Super Micro Computer (SMCI -1.66%), also known as Supermicro, incorporates these state-of-the-art chips and others into high-end servers specially designed to withstand the rigors of AI processing.

The company's focus on energy efficiency is well-documented, as is its building-block architecture. Supermicro offers a variety of free-air, liquid-cooling, and traditional air-cooling technologies, providing AI-centric server solutions for every budget and technology level.

In the company's fiscal 2024 second quarter, Supermicro generated revenue that grew 103% year over year to roughly $3.7 billion, while its adjusted EPS jumped 71% to $5.59.And management believes the company's growth spurt will continue to accelerate. Supermicro is forecasting third-quarter revenue of $3.9 billion and EPS of $5.22 at the midpoint of its guidance, which would represent year-over-year growth of 205% and 220%, respectively.

The stock is up an incredible 975% since the start of 2023, but some believe significant upside remains. Loop Capital analyst Ananda Baruah has a buy rating and a Street-high price target of $1,500 on the stock. That represents potential upside of 70% compared to Tuesday's closing price.

Baruah is increasingly confident in Supermicro's position in the generative AI server space and its leadership in addressing the increasing complexity and scale of the server industry. Furthermore, he believes the company can achieve a revenue run rate of $40 billion by the end of its fiscal 2026. For context, that runs circles around the $7.1 billion it generated in its fiscal 2023 (ended Jun. 30).

The analyst isn't alone in his bullish take. Of the 15 analysts who covered the stock in March, 11 rated it a buy or strong buy, and none recommended selling. Supermicro stock is also attractively priced, currently selling for 3 times forward sales.

Danny Vena has positions in Nvidia and Super Micro Computer. The Motley Fool has positions in and recommends Nvidia. The Motley Fool has a disclosure policy.

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2 Superb Artificial Intelligence (AI) Growth Stocks to Buy Before They Soar 63% and 70%, According to Select Wall ... - The Motley Fool

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Binance Academy Introduces University-Accredited Programs with Discount and Rewards – Blockchain.News

Binance Academy has recently unveiled a range of university-accredited programs in partnership with leading educational institutions in Europe. These programs are designed to provide learners with in-depth knowledge and understanding of blockchain technology and digital assets.

The participating universities include the Prague University of Economics and Business (VE), the European Business Institute (EBI) of Luxembourg, and the ESCP Business School. Each program has been developed in collaboration with experienced professors who teach crypto and blockchain-related courses on campus.

To ensure accessibility and affordability, Binance Academy has priced the enrollment fees for these programs at just 10 USDT. This discounted rate aims to make high-quality education in the field of blockchain accessible to learners worldwide.

Upon successful completion of a program, participants will receive a co-branded certificate from the respective university and Binance Academy, enhancing their credentials and knowledge in the blockchain industry.

To celebrate the launch of these university-accredited programs, Binance Academy is offering a limited-time discount and rewarding participants. During the activity period, users who enroll in any of the new programs using Binance Pay will receive a 60% discount on the enrollment fees. This means that the enrollment fee for each program is reduced to 4 USDT during the promotional period.

Furthermore, the first 2,000 new users who complete the program and meet specific requirements will receive a 4 USDT token voucher as a reward. The tasks include registering for a Binance account, completing identity verification, purchasing a university program using Binance Pay, completing the program, and sharing the certificate of completion on social media.

It is important to note that this activity may not be available in all regions, and only verified Binance users from qualified regions where Binance Pay is available are eligible to participate and receive rewards. The token voucher rewards will be distributed within 21 working days after the activity ends.

Binance Academy aims to provide comprehensive and accessible education in the field of blockchain and digital assets. Through these university-accredited programs, learners can enhance their knowledge and skills, bolstering their understanding of the rapidly evolving blockchain industry.

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I finally found a practical use for AI, and I may never garden the same way again – TechRadar

I love my garden and hate gardening. These emotions are not as fundamentally opposed as they appear. A beautiful garden is satisfying and lovely to look at. Getting such a garden is tremendously challenging, because it takes constant upkeep and also because creating a sustainable and manageable landscape is a skill I lack. ChatGPT, it turns out, is an enthusiastic and, it appears, quite capable gardener.

Artificial intelligence (AI) is, with apologies to Billie Eilish, the "What was I made for?" of modern technologies. It has a million possibilities but no set purpose, and often what you get out of it depends on what you put into it. I've spent countless hours trying to use AI as a screenwriter, a programmer, or just a friendly interlocutor. Typically, the AIs do well at first but devolve in the long run. Some of my earliest tests are a year or more old, and in AI years that's decades.

In recent weeks I've started playing with some of the latest large language models (LLMs) and image generators available in Microsoft Copilot, Google Gemini, and OpenAI's ChatGPT. While I used the early AI chatbots on the desktop, I've switched almost entirely to mobile platforms, and it turns out that a mobile AI gardening assistant is the landscape advisor I (and my lawn) didn't know I was missing.

Now, I did use ChatGPT Plus, the $20-a-month subscription-level AI that brings GPT-4 and DALL-E 3. GPT-4 is notable because it's been trained on information newer than GPT-3.5's September 2021 cut-off. How this more up-to-date knowledge might impact gardening advice, I'm not certain, though I guess free details about weather trends might help it steer me toward plants that match my actual climate and not what previous decades have shown (OpenAI trains its large language model by scraping vast amounts of data from across the internet, and I think it's safe to assume some of that is publicly available weather data).

My front and back lawns aren't terrible, but there are issues. On one side of the front of my house is a sparse landscape where most plants go to die. ChatGPT accepts text, voice, and visual input, so I started by taking a photo of this problem area and then asking ChatGPT to identify all the plants and, while explaining my location (northeastern US) and the general climate (temperate with moderate rainfall), asked it to suggest some landscape ideas.

In its own straightforward but conversational style, ChatGPT accurately identified most of the plants:

ChatGPT then suggested a collection of plants that might work in my environment, which included coneflowers, black-eyed Susans, hostas, bee-balm, and ferns, and then explained how, as perennials, the plans will return on their own, year after year. I showed the list to my wife, who has a bit more flower, plant, and shrubbery sense, and she broadly agreed with the selection.

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The benefit of using an AI chatbot goes beyond simple query and response. It's the conversation that makes it powerful. I realized that this part of my house only gets sun about half the day, and asked ChatGPT if these plants would be okay.

"Yes, the plants mentioned can generally handle partial sun conditions, which is about 4-6 hours of direct sunlight per day, quite well," it replied. It then detailed how each plant reacts to and handles limited sun or shade. This made me feel comforted.

I was impressed, but before I went further in my AI gardening quest I decided to challenge ChatGPT's plant-identification powers.

There's a dogwood that grows almost weed-like outside one of my den windows. I took a photo through the window (and a screen) and asked ChatGPT, "What kind of plant is this? Is it a weed? How can I best care for it in my environment?" (I can do this by speaking to the app or typing it in.)

As was typical, ChatGPT returned its response a second later (sometimes, with longer responses, I would watch it almost thinking through and typing out the detailed responses).

"The plant in the image appears to be a tree or large shrub that is just beginning to leaf out, suggesting that the photo was taken in early spring."

That was all accurate and fair. ChatGPT told me it didn't look like a weed, but admitted that without leaves or fruit on it, it would be hard to identify. All fair enough.

Later, I decided to trick ChatGPT and took a photo of a realistic-looking artificial bouquet. I failed.

"The bouquet in the picture features flowers that look very similar to artificial ones. Real flowers typically have more variation in color and form, as well as natural imperfections," wrote ChatGPT.

With my confidence in ChatGPT growing, I moved back to my landscaping projects.

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Every few years we mulch our flower, tree, and shrub beds, and I wondered if it was time to do it again. So, I took a photo of one flower bed and asked ChatGPT if it needed more mulch and, if so, what kind.

As was often the case, ChatGPT was purposefully inexact in its response. It told me the area "looks fairly covered, but it's a bit difficult to determine the thickness of the mulch layer from this photo." Mulch thickness, it told me, should be between 2-to-3 inches, which is advice I've heard from human gardeners. It then gave me a list of mulch types, and their benefits and deficits.

All helpful, though without AI fingers to sink into the mulch, I'm not sure if ChatGPT could ever accurately tell me if I have enough of it.

One of my biggest landscape problem areas is my backyard. Last year half of it died, and I struggled to bring it back to its former brilliance (one of many chapters in my book, Why I Hate Gardening). I took a photo of my sorry lawn, and asked ChatGPT what was wrong with it, and to suggest ways to improve it.

ChatGPT didn't make fun of my poor lawn care skills, but admitted there were signs of "thinning grass and patchy areas where the soil is exposed." Possible causes included "soil compaction, nutrient deficiencies, pest and disease problems."

It followed that with a list of things that I already do, except for aeration and pH adjustment. I know how to aerate a lawn (you punch a bunch of holes through the lawn bed) but didn't know about adding lime to raise pH. Very smart, ChatGPT.

I followed by asking which grass seed I should use. ChatGPT returned a clear list of five seed options suited to my climate.

ChatGPT doesn't automatically show its sources, and when I asked it where it got its gardening advice, it offered paragraphs of more general gardening advice for my location, but with a citation link attached to each paragraph. Sources included Finegardening.com, Savvygardener, and the US Government.

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I also asked ChatGPT to help me find a harvestable plant for a narrow flower bed alongside my house. It suggested, among other things, strawberries. That was interesting, because when we moved in strawberries were in that space, but they weren't healthy enough to survive.

One area where ChatGPT stumbled was when I asked it to create landscape images based on its suggestions. Even when I asked for realistic images, the integrated Dall-E system returned fanciful landscapes and homes that looked little, if at all, like my home. They were cartoony, packed with too many plants, and with added landscape areas that do not exist.

This surprised me, since ChatGPT and DALL-E always had my original photo as a reference, but it chose to ignore most of the details and instead create landscapes for a fantasy home.

That's alright; I don't need images to apply some of this advice. In general, ChatGPT is a confident and able gardening and landscape advisor, and I think I could do worse asking my green-thumb neighbor for advice that might include far too much detail about the state of his home life.

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