Month: November 2024

OpenAI’s ChatGPT Challenges Google: A New Era of Search?

In a groundbreaking move, OpenAI has rolled out a new search function within ChatGPT, positioning itself as a direct competitor to search giants like Google and Perplexity. This feature aims to redefine search by offering AI-enhanced, conversational responses rather than a list of links. Will this be a game-changer for everyday searches? Discover how OpenAI’s latest advancement could shift the digital landscape. submitted by /u/glira31 [link] [comments]

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submitted by /u/XGramatik [link] [comments]

It’s not the time for YOLO: ‘Fear Over Greed’ signal amid market turbulence

Warren Buffett and Berkshire Hathaway (NYSE:BRKa) extended their retreat from stocks in the third quarter, slashing their holdings in Apple and boosting cash to a record $325.2 billion. Warren Buffett once said that it’s wise for investors “to be fearful when others are greedy and to be greedy only when others are fearful.” This statement relates directly to the price of an asset. Price is what you pay and value is what you get. When others are greedy, prices typically boil over and one should be cautious lest they overpay for an asset that subsequently leads to anemic returns. It might present a good value investment opportunity when others are fearful. Today, when the cash allocations of global investors are lower than even at the peaks of the tech and housing bubbles, I read it as the signal that Warren is getting ready to the times when fear is back in this market. submitted by /u/FXgram_ [link] [comments]

🇺🇸 US NFP Release 🇺🇸 💲UsDollar is falling! Are you in?📉 ⚡️ NFP m/m:📉👇

🇺🇸 US NFP Release 🇺🇸 ⚡️ Average Hourly Earnings m/m: Actual — 0.4% Expected — 0.3% Previous — 0.4% ⚡️ NFP m/m: Actual — 12K Expected — 106K Previous — 254K ⚡️ Unemployment Rate: Actual — 4.1% Expected — 4.1% Previous — 4.1% 💲UsDollar is falling! Are you in?📉 submitted by /u/Yuriy_UK [link] [comments]

The most discussed technologies right now are blockchain and artificial intelligence. Let’s discuss how these technologies can be connected. What specific problems in the field of artificial intelligence do you think integration with blockchain technology could solve?

Blockchain technology and cryptocurrency are set to play a transformative role in advancing artificial intelligence (AI) by addressing critical needs for data, compute power, and secure, transparent transactions. The unique properties of crypto—such as scarcity and decentralization—contrast with AI’s abundance, presenting new value opportunities. Blockchain offers essential infrastructure for data storage and processing, which AI increasingly requires as models evolve and become more accessible. AI agents, advanced autonomous programs that interact within digital environments, stand to benefit from crypto’s decentralized framework. Unlike simple bots, these agents can handle complex operations, including financial transactions and resource management, without requiring traditional banking intermediaries. Blockchain’s flexibility supports this by enabling efficient asset handling, secured data exchange, and minimal regulatory barriers, expanding use cases in finance, resource management, and digital ownership. The synergy between AI and blockchain addresses AI’s most pressing needs: data access, computational power, and democratized model development. Decentralized storage allows users to securely contribute and control their data while monetizing it, a vital step toward better privacy and data quality. Token-based incentives ensure data remains accessible for training AI models without sacrificing user privacy. Additionally, decentralized GPU marketplaces, where individuals can offer computational power, reduce costs and broaden access to AI resources, a crucial advantage given the current GPU shortage and high demand. In parallel, emerging blockchain-powered ecosystems like Unichain signal a trend toward “fat apps”—large applications operating on dedicated blockchains to capture value and optimize operations. These “fat apps” retain control over transaction fees and liquidity, enhancing the economic potential of applications by migrating activity to their own chains and capturing the entirety of their ecosystem’s value. Uniswap’s Unichain is a key example, representing a shift toward specialized chains that retain and capitalize on their own financial activity. This integration empowers individuals with ownership over AI contributions, like training data or model improvements, enabling them to track and control their inputs in ways that were previously unattainable. Decentralized infrastructures provide a transparent, inclusive framework where contributors can directly benefit from AI advancements. This ownership fosters a democratized AI development model where users gain from the value generated by their contributions. As blockchain infrastructure advances, it is positioning itself as the backbone for a decentralized AI economy. The interplay of these technologies promises a future in which innovation is not only rapid but also accessible, scalable, and aligned with privacy and ethical considerations. By combining decentralized networks with AI, we are likely to see an economic paradigm shift that champions transparency, efficiency, and accessibility for the digital economy of tomorrow. submitted by /u/Pale_Transition7946 [link] [comments]

3 news that don’t make you wanna cry: the economy’s vibe check, crypto’s rollercoaster (again), and battling election chaos

hey folks, doesn’t it feel like the news feed is a constant flow of feces that we tap into every day, trying to make sense of this world? at some point i realized that behind all the facts, quotes and cheap clickbaits i don’t see what’s really happening around, and most importantly, why. i wish there were somebody who’d explain what the fuck is going on instead of just reporting who said what and who did who… couldn’t find such a feed, and my therapist suggested i’d be that person to explain what’s up to myself. turns out, looking at the news from a rather distant and empathetic perspective helps with the anxiety. it starts to makes sense now (just a bit, but still better than zero!) so i’ve been chewing over some stuff that’s been going down lately, and i wanted to share my two cents. there’s a lot happening with the economy showing signs of cooling off, bitcoin doing its unpredictable dance, and news outlets gearing up to combat the flood of misinformation as we head into election season again. here are 3 things i’ve noted 1/3 inflation’s finally taking a chill pill so, for the first time in what feels like forever, inflation in the u.s. is starting to pump the brakes. the bureau of economic analysis just dropped the latest deets: the personal consumption expenditures (pce) price index—the fed’s fave inflation gauge—dipped to 2.1% annually in september from 2.3% in august. i know, numbers can be snooze-worthy, but this one’s a biggie because it hints that maybe the economic madness is easing up a bit. back around 2021, everything was bonkers—prices were sky-high, and it felt like our wallets were on a permanent diet. i remember chatting with friends about how even a trip to the grocery store felt like a splurge. so seeing this slight drop is like finally catching a breather. but let’s not get it twisted—jerome powell and the federal reserve aren’t throwing a party just yet. they’re being super cautious because they don’t want to tank the economy while trying to tame inflation. hiking up interest rates is their go-to move, but that also means loans get pricier, which can cramp everyone’s style when it comes to buying houses or investing in businesses. and honestly, a lot of people aren’t feeling the love from these numbers. food’s still expensive, energy bills are all over the place, and paychecks aren’t exactly blowing up. it’s like we’re stuck in the same grind, and a tiny percentage drop isn’t changing the game for most folks. 2/3 coinbase and bitcoin: when your bff acts up meanwhile, over in cryptoland, things are as wild as ever. bitcoin’s been on a tear, nearing a crazy $73,500. you’d think coinbase would be riding that wave, but nope—their shares took a hit after missing earnings expectations. they reported a 78% jump in revenue to $1.21 billion, which sounds dope until you realize analysts were expecting $1.26 billion. their earnings per share came in at 28 cents instead of the anticipated 45 cents. boom—stock drops 15%. it’s kinda like when you’re at a party, and everyone else is vibing, but you’re stuck in the corner. i got into crypto a while back, more out of fomo than anything else. it’s always been a rollercoaster, but this situation with coinbase is a head-scratcher. they’re pouring money into expanding services and keeping regulators happy—which is adulting 101—but investors aren’t thrilled because it’s eating into profits. on the flip side, bitcoin’s getting a boost because big shots like blackrock and fidelity are eyeing bitcoin etfs. that’s like the varsity team inviting you to play; it’s a big deal. plus, with inflation cooling, some see bitcoin as a solid place to park their money. but let’s be real—the crypto scene is moodier than a teenager. one day it’s all moonshots, the next it’s crash and burn. coinbase’s struggle despite bitcoin’s high just shows how unpredictable this space can be. 3/3 election season: gearing up for the info wars as if things weren’t spicy enough, we’re gearing up for another election. major news outlets like the associated press, fox news, cnn, and abc are rolling out the big guns to fight misinformation. after the 2020 drama, where fake news was spreading like wildfire, they’re not taking any chances. they’re beefing up fact-checking squads, teaming up with tech companies for real-time verification, and locking down their cybersecurity. the associated press has some slick tools now to spot sketchy social media trends before they blow up. i remember during the last election, my feeds were a hot mess—everyone was sharing articles that seemed sus, and it was hard to tell what’s legit. it’s kinda exhausting trying to sift through all that noise. knowing that these outlets are stepping up is a bit of a relief. but trust is still a big issue. a lot of people side-eye the media, and i can’t blame them entirely. biases are real, and sometimes it feels like we’re getting spun. these news orgs have a tough job not just delivering facts but also rebuilding that trust. 4/3 bonus track what ties all this together is that we’re all trying to make sense of a world that’s throwing curveballs left and right. the economy’s showing some positive signs, but not everyone feels it. crypto markets are doing their unpredictable thing, leaving even the pros scratching their heads. and with the election looming, we’re bracing for another wave of info overload. it’s kinda like we’re all trying to juggle while riding a unicycle—it ain’t easy. but maybe that’s just the new normal. we’re bombarded with info 24/7, and it can be a lot to handle. i guess what i’m getting at is it’s okay to feel a bit lost. i’m right there with you. but staying curious, questioning what we hear, and looking out for each other can help us navigate this craziness. whether it’s figuring out how inflation affects our daily hustle,… Continue reading 3 news that don’t make you wanna cry: the economy’s vibe check, crypto’s rollercoaster (again), and battling election chaos

Big Tech’s AI spending spree has Wall Street worried

https://preview.redd.it/zwaptk0urayd1.png?width=1120&format=png&auto=webp&s=3260de595c0ce5d6730b503014b7b7761df40544 For tech’s biggest players, this earnings season is starting to feel like a scene from the movie Jerry Maguire — and the “show me the money” demands aren’t working out any better than they did for Tom Cruise. Some analysts are even dubbing this the “show me the money” quarter, as Wall Street’s patience with massive AI spending begins to wear thin. A tech stock selloff deepened Thursday as investors confronted the mounting costs of Silicon Valley’s artificial intelligence ambitions. Microsoft stock plunged 6% and Facebook parent Meta tumbled 4% after the companies reported earnings late Wednesday. And in after-hours trading Thursday following their own earnings releases, Amazon stock dropped more than 3% and Apple fell 2% — despite all four companies reporting strong quarterly profits. (Some of the stocks were edging back up in pre-market trading on Friday.) Almost two years after ChatGPT kicked off Silicon Valley’s AI gold rush, this week’s tech earnings revealed both the promise and the staggering price tag of the AI revolution. While companies reported significant gains from AI initiatives —Meta’s ad prices up 11%, Google Cloud revenue surging 35% to $11.4 billion, Amazon’s AWS growing 19% to $27.5 billion — their warnings about future spending sparked a broad market retreat. Meta expects capital expenditures of up to $40 billion next year, Microsoft cautioned about ongoing OpenAI losses and slowing cloud growth, and even Apple, making its first careful steps into AI with its Apple Intelligence rollout this week, saw investors retreat — despite record revenue of $94.9 billion. Tech executives’ unwavering faith in AI’s potential stands in stark contrast to investors’ growing anxiety about the costs. “First, it’s clear that there are a lot of new opportunities to use new AI advances to accelerate our core business that should have strong ROI over the next few years,” Meta CEO Mark Zuckerberg told investors. Amazon chief Andy Jassy struck a similar note: “I think we’ve proven over time that we can drive enough operating income and free cash flow to make this a very successful return on invested capital business. We expect the same thing will happen here with generative AI.” Microsoft CEO Satya Nadella emphasized “AI-driven transformation.” And earlier in the week, Google chief Sundar Pichai highlighted “extraordinary momentum.” But while tech leaders speak confidently about long-term returns, the market is increasingly focused on the short-term price tag of these ambitious visions. The mounting infrastructure costs, combined with uncertain timelines for returns, are testing investors’ patience with Silicon Valley’s spend-now-profit-later approach to innovation. Microsoft stock fell more than 6% on Thursday after executives predicted Azure’s growth would slow and warned of weaker expansion in its AI-powered cloud business. The guidance suggested that even for Microsoft, which has emerged as an early AI leader through its partnership with ChatGPT maker OpenAI, the path to AI profits may be longer and costlier than investors hoped. “AI-driven transformation is changing work, work artifacts, and workflow across every role, function, and business process,” said Nadella, whose company saw total revenue rise 16% to $65.6 billion. Microsoft’s overall cloud revenue climbed 22% to $38.9 billion, but the company expects growth in its intelligent cloud segment to slow to 18-20% next quarter. At Google parent Alphabet, Pichai pointed to new AI features in Search and Cloud as key growth drivers helping push revenue up 15% to $88.3 billion. Google Cloud’s profit jumped to $1.9 billion from $266 million a year earlier, suggesting the company is finding ways to monetize its AI investments. Meta leveraged AI to revitalize its core advertising business, with revenue jumping 19% to $40.6 billion. The company forecast fourth-quarter revenue between $45 billion and $48 billion, above analysts’ expectations. But CFO Susan Li warned of a “significant acceleration in infrastructure expense growth next year” due to the “back-end weighted nature” of 2024 capital expenditures and expanding AI infrastructure. The massive spending plans highlight how AI’s transformation of the tech industry remains in its early stages. While the technology is beginning to deliver measurable business results, tech giants are betting billions that the real payoff still lies ahead — and asking investors for patience. Goldman Sachs has recently expressed concerns that while AI has the potential for significant efficiency gains in certain areas, the high costs associated with developing and maintaining AI systems could outweigh the benefits in many cases — potentially making it more expensive than simply hiring human workers for certain tasks. With robust cash positions and strong core businesses, these companies appear able to sustain their AI investments even as costs mount. But the market reaction to Microsoft’s and Meta’s warnings serves as a reminder that even for tech’s strongest players, the AI revolution is proving to be an increasingly expensive proposition with an uncertain timeline for returns. Like Jerry Maguire’s demanding client in the 1996 film, Wall Street’s message to Silicon Valley is getting clearer by the day. As a Bank of America report puts it: “We expect AI to transition from a ‘tell me’ to a ‘show me’ story, with any disconnect between investments and revenue generation to come under increased scrutiny.” submitted by /u/Pale_Transition7946 [link] [comments]

The Labor Department has revised the last TWO jobs reports LOWER by a combined 112,000 jobs.

Initially reported numbers showed that the US added 254,000 jobs in September which was just revised down by 31,000, to 223,000. At the same time, the August jobs report was revised down by 81,000 jobs, from 159,000 to 78,000. 8 out of the last 11 jobs reports have now been revised lower. Neary, 1 MILLION jobs have now been revised LOWER over the last 2 years. submitted by /u/XGramatik [link] [comments]