#the AI Index report. The 2024 Index

[younes-ben-amara]

تلخيص تقرير ستانفورد عن الذكاء الاصطناعي (500 صفحة) في أقلَّ من دقيقة 📑⚗️

ما هذه المجموعة من المختارات تسألني؟ إنّها عددٌ من أعداد نشرة “صيد الشابكة” اِعرف أكثر عن النشرة هنا: ما هي نشرة “صيد الشابكة” ما مصادرها، وما غرضها؛ وما معنى الشابكة أصلًا؟! 🎣🌐 🎣🌐 صيد الشابكة العدد #48 مساء السعادة 👋 🎣🌐 صيد الشابكة العدد #48🎙️ شاهدتُ حلقة جديدة من المدونة الصوتية (بودكاست) جو روغان مع تاكر كارلسُن 📑⚗️ تلخيص تقرير ستانفورد عن الذكاء الاصطناعي (500 صفحة) في أقلّ من دقيقة👥 موقع…

[olivercervoni]

Is Palantir the Number One AI Stock?

$PLTR has been one of the hottest topics this year in the world of finance. It has turned the heads of even the most successful investors following its year-to-date jump of over 200% making it one of the highest-growth stocks in the AI sector. Here I will break down all the key events of 2023 leading to Palantir’s success and potential going into 2024 and why I believe Palantir deserves a place in everyone’s portfolio.

In Palantir’s Q2 earnings report, it reported a net income of 28 million with a year-over-year revenue of 13%. However, things just kept getting better for Palantir in 2023.

In Palantir’s Q3 earnings report of 2023, It announced its earnings with a quarterly profit and a net income of $72 million and a revenue improvement of 16.8% compared to Q3 of 2022 revenue. This earnings report demonstrated Palantir’s potential for profitability and a shift towards more profitable commercial contracts.

In October of 2023, Palantir was included in the S&P 500 index, a massive milestone for every American company. This solidified Palantir’s position at the forefront of the AI sector. In 2023 Palantir’s AIP (Artificial Intelligence Platform) showed great potential and was greatly received by customers. This led to Palantir conducting major collaborations with some of the biggest names in finance. One of which is $IBM. IBM and Palantir collaborated to produce IBM Cloud Pak. This product is aimed at helping businesses with operations and improving efficiency.  The IBM Cloud Pak was seen as a very powerful and useful tool for businesses to optimize and can be used in a variety of markets such as healthcare and finance.

Similarly, Palantir collaborated with the giant $AMZN on the AWS sector. This collaboration consisted of Palantir Foundry now being accessible through the AWS infrastructure saving time for businesses to access Palantir making it an even more useful tool for businesses to use giving it leverage over competitors in the market.

Palantir is already collaborating with the NHS to improve efficiency, better patient care, and perform advanced decision-making. This collaboration is a huge label for Palantir due to it being trusted by the UK’s biggest health service, to optimize operations.

Overall, I believe $PLTR is a very promising company in the AI sector and shows great profitability potential.  In 2023 Palantir has made major collaborations giving it leverage over rivals and solidifying its status in the world of finance.

Oliver Alessandro Cervoni

[the-sleepy-archivist]

Favorite iOS Safari Extensions

On iOS (iPhones and iPads), Safari is the undisputed leader of the browsers, primarily because Apple puts very tight restrictions on other browser apps that makes it very difficult for them to offer the same features that Safari does.

Thankfully, you can install extensions to tweak Safari's behavior and customize websites, as long as your device is running iOS 15 or higher. Here are the Safari Extensions I use on a daily basis. Most are free (or at least have a free version), and all work on both iPhones and iPads.

For desktop computers and Android phones, you can also check out my recommendations for Firefox addons)

Last updated June 2024 (fixed broken Bypass Paywalls Clean userscript link, added recommended adblock and ublacklist filter lists)

Index:

AdGuard

Noir

uBlacklist

Userscripts

Sink It for Reddit

UnTrap

Vinegar

AdGuard

This addon is free if you just want to use the built in adblocking lists. For a small yearly fee, you can pay for "Pro" features, which allows you to add any custom adblocking list to the app, as well as providing DNS-based system-level adblocking that can block ads and trackers inside any app on your phone. Note that it gives you two options for the system-level blocking, local VPN and native DNS; using the VPN option can drain your battery faster than normal in my experience, so I recommend using the native DNS instead. Between AdGuard and the two YouTube-customizing extensions below, I haven’t seen an ad on YouTube in Safari in months.

Recommended custom filter lists (in addition to the built-in default lists):

Bypass Paywalls Clean

Huge AI Blocklist

Fuck FuckAdblock

Noir

Adds a dark mode to any website. It's using heuristics (fancy guessing) to figure out which website colors need to be changed so that it's properly darking, so sometimes it can make mistakes. In that case, it has a built in way to send a bug report to the developer, who is pretty responsive in my experience. You can also turn it off for specific sites right from inside Safari.

uBlacklist

This addon hides search engine results with specific domains. Example: you can hide images results from AI generator sites, OR if you search for tech support advice and one of those stupid auto-generated sites filled with SEO garbage but no actual information keeps popping up, you can use this addon to hide everything from that website, right from the Google/DuckDuckGo/other search results.

Recommended filter subscriptions:

Huge AI Blocklist

Userscripts

Allows you to install userscripts and stylesheets that customize website behavior or appearance. The addon can check for updates of your userscripts and uses iCloud to synchronize them across devices too, which is really nice. The userscripts I use are:

Bypass Paywalls Clean (removes news website paywalls)

Amazon Sponsored Products Removal (self-explanatory)

Redirect Fandom to BreezeWiki (bypasses ad-filled fandom.com domains for indie wikis or an ad-free proxy site. The link documents 2 userscripts with slightly different behavior; use whichever you prefer).

Sink It for Reddit

I switched to using Reddit in the browser only after the whole API/third party apps fiasco. AdGuard blocks the ads in the web interface, but there were still a lot of annoyances because Reddit constantly bombarded you with prompts/popups trying to get you to switch to their app so they could track you and sell you ads. Sink It for Reddit removes all of those popups and lets you customize the behavior of the Reddit website too (tapping a post can open it in a new tab, back to top buttons for long posts, and video downloads, among other things). Constantly being updated too, which is nice to see.

UnTrap (USD $1.99)

This extension cleans up the YouTube interface in the browser. You can hide Shorts, Explore, Trending, and multiple flavors of Suggestions (videos, playlists, etc.). It also has a content filter you can use to ensure you never see certain channels or even specific videos by ID, username, or keyword/regex. There are over 50 options you can tweak for the video playback page alone, so if you’re looking to remove an annoyance from YouTube in Safari on iOS, this is the addon for you. Note however that this is the first extension I’ve recommended that does NOT have a free version.

Vinegar (USD $1.99)

This extension replaces YouTube’s custom video player with a standard HTML5 one. This means that YT videos will play back using the standard iOS video player interface, including all of the accompanying benefits: better interface, Picture in Picture/popout videos work, videos continue playing in the background even if you leave Safari, etc.. I was even able to start a YouTube video in Safari, lock my phone, and then continue playing the video and hear the audio over my car’s speakers via CarPlay. These are all normally locked features reserved for YouTube Premium subscribers. You can also set a default quality that it will use so YouTube won’t use “auto” and set you to 360p just because you’re using a phone.

[businessindustry]

Tantalum Pentoxide Powder Market Future Outlook, Key Players, Share and Forecast by 2024-2032

The Reports and Insights, a leading market research company, has recently releases report titled “Tantalum Pentoxide Powder Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032.” The study provides a detailed analysis of the industry, including the global Tantalum Pentoxide Powder Market Share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.

Report Highlights:

How big is the Tantalum Pentoxide Powder Market?

The global tantalum pentoxide powder market size reached US$ 464.4 million in 2023. Looking forward, Reports and Insights expects the market to reach US$ 632.9 million in 2032, exhibiting a growth rate (CAGR) of 3.5% during 2024-2032.

What are Tantalum Pentoxide Powder?

Tantalum pentoxide powder (Ta₂O₅) is a fine, white inorganic material valued for its excellent dielectric properties, chemical stability, and corrosion resistance. It is widely used in the electronics industry, particularly in making capacitors, semiconductors, and optical coatings. The powder's high refractive index is ideal for producing optical lenses and coatings, while its stability at high temperatures makes it useful in various demanding applications. Additionally, tantalum pentoxide is utilized in advanced ceramics and serves as a catalyst in certain chemical processes.

Request for a sample copy with detail analysis: https://www.reportsandinsights.com/sample-request/2053

What are the growth prospects and trends in the Tantalum Pentoxide Powder industry?

The tantalum pentoxide powder market growth is driven by various factors and trends. The market for tantalum pentoxide powder is growing steadily, fueled by its rising demand in the electronics, semiconductor, and aerospace sectors. Tantalum pentoxide is essential for producing capacitors, optical lenses, and thin films due to its excellent dielectric properties, thermal stability, and corrosion resistance. The consumer electronics industry, particularly smartphones and portable devices, is a major growth driver as these devices require high-performance capacitors. Moreover, the expanding semiconductor industry, driven by advancements like 5G and AI, is further boosting demand. The Asia-Pacific region, particularly China and Japan, leads the market due to its strong electronics manufacturing base. However, challenges such as the high cost of tantalum and environmental concerns surrounding its extraction and processing pose potential obstacles. Hence, all these factors contribute to tantalum pentoxide powder market growth.

What is included in market segmentation?

The report has segmented the market into the following categories:

By Purity Level:

High Purity Tantalum Pentoxide Powder

Low Purity Tantalum Pentoxide Powder

By Application:

Electronics

Aerospace and Defense

Chemical Processing

Medical Devices

Others

By End-Use Industry:

Semiconductor

Automotive

Industrial Manufacturing

Energy

Others

By Distribution Channel:

Direct Sales

Distributors/Wholesalers

Online Retail

By Production Process:

Hydrofluoric Acid (HF) Decomposition

Ammonium Metatantalate (AMT) Decomposition

Others

Segmentation By Region:

North America:

United States

Canada

Asia Pacific:

China

India

Japan

South Korea

Australia & New Zealand

Association of Southeast Asian Nations (ASEAN)

Rest of Asia Pacific

Europe:

Germany

The U.K.

France

Spain

Italy

Russia

Poland

BENELUX (Belgium, the Netherlands, Luxembourg)

NORDIC (Norway, Sweden, Finland, Denmark)

Rest of Europe

Latin America:

Brazil

Mexico

Argentina

Rest of Latin America

The Middle East & Africa:

Saudi Arabia

United Arab Emirates

South Africa

Egypt

Israel

Rest of MEA (Middle East & Africa)

Who are the key players operating in the industry?

The report covers the major market players including:

Cabot Corporation

C. Starck Tantalum and Niobium GmbH

Global Advanced Metals

Ningxia Orient Tantalum Industry Co., Ltd.

JX Nippon Mining & Metals Corporation

Ethiopian Mineral Development Share Company (EMDSC)

AMG Advanced Metallurgical Group

Exotech, Inc.

PLANSEE Group

Changsha South Tantalum Niobium Co., Ltd.

Ningxia Non-ferrous Metals Smelting Group Co., Ltd.

Jiangxi King-Tan Tantalum Industry Co., Ltd.

Hengyang King Xing Lifeng New Materials Co., Ltd.

Guangdong Zhiyuan New Material Co., Ltd.

METAL TECHNOLOGY Co., Ltd.

View Full Report: https://www.reportsandinsights.com/report/Tantalum Pentoxide Powder-market

If you require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

About Us:

Reports and Insights consistently mееt international benchmarks in the market research industry and maintain a kееn focus on providing only the highest quality of reports and analysis outlooks across markets, industries, domains, sectors, and verticals. We have bееn catering to varying market nееds and do not compromise on quality and research efforts in our objective to deliver only the very best to our clients globally.

Our offerings include comprehensive market intelligence in the form of research reports, production cost reports, feasibility studies, and consulting services. Our team, which includes experienced researchers and analysts from various industries, is dedicated to providing high-quality data and insights to our clientele, ranging from small and medium businesses to Fortune 1000 corporations.

Contact Us:

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[beauila-blog]

US Tech Stocks Rebound After DeepSeek AI Shock

US tech stocks stabilized on Tuesday after suffering a sharp decline on Monday due to the unexpected rise of Chinese artificial intelligence (AI) app DeepSeek.

Shares of chip giant Nvidia rebounded by 8.8% following a significant slump, as analysts suggested that the initial AI selloff may have been an overreaction. Investors were quick to adjust their bets after DeepSeek claimed it had developed its model at a fraction of the cost compared to US competitors.

The emergence of DeepSeek has raised concerns about the future of America's AI dominance and the financial commitments US companies have made in the sector. President Donald Trump addressed the situation, calling it a "wake-up call" for the US tech industry but also expressing optimism about its potential impact. "If you can do it cheaper and still get the same result, I think that's a good thing for us," he told reporters aboard Air Force One, reaffirming his confidence in America’s leading position in AI.

AI Investment Concerns

Optimism surrounding AI investments has fueled much of the US stock market boom over the past two years, sparking fears of a possible bubble. DeepSeek’s swift success—becoming the most downloaded free app in the US within a week of its launch—has further intensified debates over the sustainability of AI spending.

The US has actively sought to curb China’s progress in AI by restricting access to advanced chip technology. In response, Chinese developers have collaborated to innovate AI models requiring far less computing power, effectively lowering costs and challenging assumptions about AI scalability.

Market Reaction and Nvidia’s Rebound

Nvidia, which has led the AI chip market, was hit hardest on Monday, seeing its stock price drop by 17%, wiping nearly $600 billion off its market value. However, as markets regained confidence, Nvidia shares bounced back on Tuesday, boosting major indices.

By the close of trading, the Dow Jones Industrial Average rose 0.3%, the S&P 500 climbed nearly 1%, and the tech-heavy Nasdaq gained 2%. The FTSE 100, the benchmark index for the UK’s largest publicly traded firms, also ended 0.35% higher.

Meanwhile, AI-related stocks in Japan, including Advantest, SoftBank, and Tokyo Electron, fell sharply, contributing to a 1.4% decline in the Nikkei 225. Many other Asian markets remained closed due to the Lunar New Year holiday, with China’s financial markets set to reopen on February 5.

Who Founded DeepSeek?

DeepSeek was founded in 2023 by Liang Wenfeng in Hangzhou, China. A graduate in information and electronic engineering, Liang also founded the hedge fund that backed DeepSeek.

Recently, he attended a meeting with Chinese Premier Li Qiang, underscoring his growing influence in the tech and finance sectors. In a July 2024 interview with The China Academy, Liang expressed surprise at the global reaction to DeepSeek's pricing strategy, stating, "We didn't expect pricing to be such a sensitive issue. We were simply following our own pace, calculating costs, and setting prices accordingly."

Since its launch earlier this month, DeepSeek has claimed that its R1 model performs on par with OpenAI’s latest technology in mathematics, coding, and natural language reasoning.

Industry Impact and Controversy

DeepSeek’s breakthroughs have drawn praise from figures such as OpenAI CEO Sam Altman, who acknowledged the model’s impressive cost efficiency while maintaining that OpenAI will continue to deliver superior models in the future.

Experts, including Marina Zhang, an associate professor at the University of Technology Sydney, have noted that DeepSeek's success highlights the potential for software optimization to compensate for hardware limitations. Databricks co-founder Ion Stoica suggested that lower AI costs could accelerate industry-wide adoption, expanding market growth.

DeepSeek claims its model can be trained using just 2,000 specialized chips, a stark contrast to the estimated 16,000 required for leading US models. However, some, including tech mogul Elon Musk, have questioned these claims, suggesting that DeepSeek may have stockpiled as many as 50,000 Nvidia chips before US export restrictions took effect.

Cybersecurity Concerns

DeepSeek’s rapid rise has sparked cybersecurity concerns globally. In Australia, Science Minister Ed Husic has urged caution, emphasizing the need for scrutiny regarding data privacy and AI model reliability.

“There are a lot of questions that will need to be answered in time—on quality, consumer preferences, data, and privacy management,” Husic told ABC News.

As the AI race intensifies, DeepSeek’s emergence signals a major shift in global competition, challenging the long-held belief that Silicon Valley will maintain an unchallenged lead in AI innovation.

[starseedfxofficial]

The Secret Strategy to Trading Euro New Zealand Dollar Like a Pro (PPI Edition) Euro New Zealand Dollar & Producer Price Index (PPI): The Hidden Edge You Need Picture this: You’re analyzing the Euro New Zealand Dollar (EUR/NZD), thinking you’ve got it all figured out, only to watch your trade nosedive like a bungee jumper with no cord. Sound familiar? If so, you might be overlooking one of the most underrated economic indicators in Forex—the Producer Price Index (PPI). Most traders obsess over CPI (Consumer Price Index) or employment data, but PPI? That’s the underdog, the sleeper pick, the Forex equivalent of buying Bitcoin in 2010. So, let’s unpack why PPI matters for EUR/NZD traders and how you can use it to gain a hidden edge. Why Most Traders Get PPI Wrong (And How You Can Profit From It) If PPI were a movie character, it’d be that genius sidekick everyone underestimates—until it saves the day. PPI measures the inflation at the producer level, meaning it tracks the cost of goods before they hit consumers. Why does this matter? Because rising PPI often means rising inflationary pressures, which central banks take very seriously. - Eurozone PPI: The ECB closely watches this to determine future interest rate moves. - New Zealand PPI: While less influential than CPI, it’s a leading indicator for inflation trends in NZD. - EUR/NZD Impact: Diverging PPI trends between the Eurozone and New Zealand can signal big swings in the pair. And yet, most traders ignore it. Big mistake. HUGE. The Secret PPI-Based EUR/NZD Trading Strategy No One Talks About Let’s get tactical. Here’s a step-by-step blueprint to leverage PPI for EUR/NZD trades: - Compare the Eurozone & NZ PPI Trends - If Eurozone PPI is rising faster than NZ’s → EUR/NZD bullish bias. - If NZ PPI is accelerating relative to the Eurozone → EUR/NZD bearish bias. - Watch the ECB and RBNZ Response - ECB: If Eurozone PPI is rising aggressively, the ECB might turn hawkish → EUR strength. - RBNZ: New Zealand’s economy is highly sensitive to global conditions, meaning PPI shifts can hint at future monetary policy tweaks. - Confirm With Technicals - Use Fibonacci retracements and key support/resistance zones. - Watch for momentum indicators like RSI divergences before entering a trade. - Pair PPI-driven bias with price action confirmation. Pro Tip: Look at the PPI YoY and MoM trends instead of a single month’s data—false signals happen when you only focus on one release. Case Study: The 2023 EUR/NZD PPI Divergence Play In Q3 2023, Eurozone PPI dropped significantly while New Zealand’s remained steady. Most traders ignored this, focusing only on CPI. Big mistake. Smart money noticed that lower Eurozone PPI meant less inflationary pressure → leading to a more dovish ECB stance. Result? EUR/NZD sold off aggressively, dropping 300+ pips within weeks. Traders who caught the signal banked serious profits while others wondered what just happened. The Next Big PPI-Based EUR/NZD Trade Setup (2024 Edition) So, what’s the next opportunity? As of recent reports: - Eurozone PPI is stabilizing, but ECB still cautious. - NZ PPI is showing resilience, hinting that the RBNZ might hold rates higher for longer. - Market Expectation: A continued divergence favors EUR/NZD downside potential if RBNZ stays hawkish. Action Plan: - Monitor the next PPI release from both regions. - Cross-check with ECB & RBNZ meeting statements. - Look for technical confirmation before entering the trade. Conclusion: The Underrated Trading Edge You Need While most traders chase obvious signals, elite traders look deeper—and PPI is a goldmine for insights. Next time you trade EUR/NZD, don’t just look at CPI or NFP—dig into PPI trends and outsmart the crowd. ✅ Want more elite-level insights? - Stay ahead of market moves: Forex News Today - Master Forex strategies: Free Forex Courses - Join our expert community: StarseedFX Community Trade smarter, trade with an edge. —————– Image Credits: Cover image at the top is AI-generated Read the full article

[darkmaga-returns]

1. People ask us what we read when we read about AI. There are scores of good sources, most of which are well over our heads. At ground level, here are six we think are useful: (1) Big picture: Casey Newton. (2) Beat Reporting: Cade Metz, The New York Times. (3) Informed Commentary: Parmy Olson, Bloomberg. (4) Tech Industry Coverage: The Information. (5) Industry Insider: Jack Clark, Import AI. Academic Insight: Ethan Mollick, Wharton School of Business. (Sources: platformer.news, nytimes.com, bloomberg.com, theinformation.com, importai.substack.com, mgmt.wharton.upenn.edu)

2. If you’re looking for a “big picture” overview of where things stand in the “macro” AI world, two stand out. One is the “2024 AI Index Report” from Stanford University. The other is a lengthy essay entitled “Situational Awareness”, which was posted last June and “went viral” shortly thereafter. “Situational Awareness” generated a storm of criticism and derision, none of which was especially persuasive. (Sources: aiindex.stanford.edu, situational-awareness.ai)

3. Bloomberg:

Almost overnight, DeepSeek has upended many of the assumptions inside Silicon Valley about the economics of building AI, as well as the best technical methods for developing the technology and the extent of the US lead over competitors in China. For much of the past two-plus years since ChatGPT kicked off the global AI frenzy, the industry has bet that the path to better AI depends largely on spending heavily on more advanced chips from companies like Nvidia Corp. and increasingly massive data centers to house them. US President Donald Trump welcomed the development as “good, because you don’t have to spend as much money.” Industry leader Nvidia, whose shares took a huge hit from DeepSeek’s debut, also lauded it as an “excellent AI advancement” in a statement on Monday. The market fallout was staggering. Hype over DeepSeek's feat drove a nearly $1 trillion rout in US and European technology stocks on Monday as investors questioned the spending plans of some of America’s biggest companies. The share plunge in AI chipmaker Nvidia alone erased roughly $589 billion in market value, the biggest wipeout in US stock-market history. Meanwhile, in DC, lawmakers are left to figure out the best route to beat back China’s progress on a technology some see as crucial to its military and economy, given the Biden administration’s chip export curbs were not enough. David Sacks, President Donald Trump’s crypto and AI czar, said DeepSeek shows the global AI race will be very competitive — while blaming the Biden administration for regulation that “hamstrung” AI development.

[sublimeobservationarcade]

Things In Life You Now Have To Pay For

Have you ever counted up all the things in life you now have to pay for? Say, for instance if we compare it to previous generations? Let’s start with music, as most folk have a subscription to listen to music on their phone these days. Back in the day people used to own their copies of recorded music not rented them. Next, how about all your streaming service subscriptions. Yes, range of content is much better now but we are paying for it. It used to be either free to air with ads or pay TV but now companies like Amazon are milking the cow from both ends. The voracious pigs like Jeff Bezos want to make you pay and get advertising revenue. I can see the whole sector going this way.

Subscriptions On Everything In Life

Moving onto computers and all the subscriptions that you may have with companies like Microsoft, an anti-virus software firm, AI apps, maybe a video editing suite and whatever else you might want to do with software. Yes, back in the day we used to be able to buy software rather than rent it annually. The subscription model has come in for just about everything. This is why we say that we now live in a rentier economy. Businesses rent out stuff and we pay all these annual subscriptions.

Insurance Premium Subscriptions On Living

This includes insurance, which has been around for millennia. Right now, insurance is in a boom period with premiums going through the roof. There is home insurance, car insurance, private health insurance, some folk insure their life, income, pets, travel, and even funeral arrangements. All these are subscription based either annual or by monthly payments. It is like paying a rental fee on a back up plan if stuff breaks down or goes to shit. Residential Property Surpasses $11 Trillion The things in life you now have to pay for every month or year are mounting up. Obviously, rents and mortgage payments remain the single biggest of these outgoings. Accommodation, having a roof over your head, is the biggest business in town for the banks and other financial lenders. Property is all about investment rather than housing people in the 21C. The financialization of this aspect of human life is worth billions and billions. “The preliminary estimate of the total value of residential dwellings in Australia in the September quarter 2024 was $11,093.8 billion, up $156.3 billion from $10,937.6 billion in the June quarter 2024. This is the first time that the total value of residential dwellings has surpassed $11 trillion. Of the total value of residential dwellings, $10,657.1 billion was owned by households.” - (https://www.abs.gov.au/statistics/economy/price-indexes-and-inflation/total-value-dwellings/latest-release) Homelessness is up in Australia at the same time because of the number of people who can no longer afford to rent a home. Things have been so good for investors, speculators, real estate agents, bankers and the conveyancers that the working poor have been cut out of the equation. Tent cities are popping up on the fringes of cities and in parks around the place to house those who can no longer afford to pay the exorbitant rents.

Rents On Money Things in life you now have to pay for. Fees and bank charges on cards and digital payments are rife everywhere you go. We are charged fees every time we pay for stuff. Cash money is in short supply and the banks want to start charging for this too. Meanwhile, these banks declare $10 billion annual profits. “Australia's major banks remain resilient despite economic uncertainty in the full financial year results. The Australian major banks reported a combined profit after tax of $29.9 billion…” - (https://kpmg.com/au/en/home/insights/2024/11/australian-big-4-major-banks-full-year-results-2024.html?pageAccordionID=transformation&nocache=true) Get the violins out for the banks after a tough year for them. We Were Gulled Everything you do in life costs you ever more money. The digitalisation and privatisation of everything promised us savings. I can still remember those assurances proffered by talking heads at the time. The Commonwealth Bank, Telstra, Qantas, the energy utilities and the rest, we were promised cheaper and none of them delivered that. We were gulled, scammed and ripped off. All these public assets were sold cheaply to private interests thus making oligarchs and private billionaires. It was the transfer of power from us into the hands of a few. Neoliberalism was the name of the game. Trump 2.0 I often think about whether Americans are the most gullible people in the world. ‘Stupid is as stupid does’, as one great American character once said. Look at how they have allowed ruthless, greedy individuals and corporations to extract profits from denying people life saving medical care. Imagine voting a crook and sexual predator back into the White House after everything that has come out about Donald Trump. The rest of the world looks on in horror at what is about to unfold. It has begun already – the destruction of America.

President Trump Postlaunch Remarks (NHQ202005300080) by NASA HQ PHOTO is licensed under CC-BY-NC-ND 2.0 The Joke Was On Us In Queensland, a corrupt state government was complicit in a bent Police Commissioner running a payoff scheme for cops to look the other way re-prostitution, gambling etc It was called ‘the joke’ and brown paper bags stuffed with dirty money were funnelled up the chain of command to the top. “'The Joke' was the tightly-organised system of corruption that operated in Queensland from the 1950s to the 1980s. Graft payments from illegal gambling and prostitution were passed on to police - and the payments went all the way up to the Commissioner's office.” - (https://www.abc.net.au/listen/programs/conversations/matt-condon-on-the-fall-of-the-joke/7752444) Donald Trump and his ilk are performing macro corruption on a scale rarely seen before. It will do more than sully the name of the United States for ever more, it will bring down this once great nation. Trump & Big Tech Donald Trump has brought the Big Tech oligarchs on board his power cruise. All those subscriptions we now pay to go about our lives make their way into the pockets of these individuals. Google, Apple, Amazon, Meta, Microsoft and their ilk minimise their tax to ridiculously low levels. They shift profits around to avoid paying tax in the countries they do business in. Places like Ireland and the Virgin Islands facilitate this tax minimisation. Donald Trump has just pulled the US out of an OECD initiative designed to force these corporations to stop this practice and start paying their fair share of tax to the governments and countries where they generate billions. “In 2018, Amazon clocked up sales in Australia of more than $1 billion but paid less than $20 million in tax. Google shuffled vast amounts of its European and African earnings through Ireland which had a nominal tax rate of just 12.5 per cent. But a European Union investigation discovered it paid about 1 per cent tax on its earnings as a result of a sweetheart deal with the Irish government. That deal has since come back to bite the tech titan with Ireland now demanding $21 billion in back tax payments.” - (https://www.abc.net.au/news/2025-01-28/donald-trump-tech-titans-tax-avoidance-australia/104863912) So, not only are these companies putting the bite on you and me they are avoiding their tax responsibilities too boot. This adversely impacts the countries we live in by reducing the tax revenue available to our governments for essential services like health and education. They are actively involved in shrinking governments to leave us with an unregulated wild west of corporate power.

How long is it going to be before we are paying a subscription for food and drink? Some might be already paying this for home delivered meals and produce. Imagine the power that unregulated and over-concentrated markets for essential food will have over us? We are heading in this direction fast. Do you want some Nazified oligarch like Elon Musk holding this power over you? The Twitter/X bully is supporting far right groups in the UK and Germany. Musk’s Starlink satellite internet system already holds power over vast swathes of people globally. Mark Zuckerberg’s Meta via Facebook and Instagram is another social media private group with way too much influence. It is time to rein these people in. Do Your Bit Consumer power has been denuded in part by the over-concentration of corporate power in sectors via mergers and takeovers. Governments have been piss weak in the face of this and complicit in the gaming of the free market system. Bought off with high paid jobs, campaign money, and favours. However, we can do something despite this by turning off their revenue streams by not doing business with them. Not advertising with Facebook or Google. Not buying stuff off Amazon. Not subscribing to Microsoft services. Writing to these companies and telling them why you are taking your business away. That they do not pay their taxes properly and do not do the right thing by our governments. Apple is a major tax minimiser in this space globally. Stop subscribing to their streaming services. Let them know why. It is worth having a go. Robert Sudha Hamilton is the author of America Matters: Pre-apocalyptic Posts & Essays in the Shadow of Trump. ©WordsForWeb

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[moko1590m]

AI企業のScale AIおよびAI研究組織のCenter for AI Safety(CAIS)が共同で、AIの知識の限界をテストするために設計したベンチマーク「人類最後の試験(Humanity's Last Exam)」を公開しました。既存の主要モデルのうち、正解率10％を超えるモデルは存在しなかったとのことです。 Scale AI and CAIS Unveil Results of Humanity’s Last Exam https://scale.com/blog/humanitys-last-exam-results Humanity's Last Exam - Publication Ready Humanity's Last Exam.pdf (PDFファイル)https://static.scale.com/uploads/654197dc94d34f66c0f5184e/Publication%20Ready%20Humanity%27s%20Last%20Exam.pdf A Test So Hard No AI System Can Pass It — Yet - The New York Times https://www.nytimes.com/2025/01/23/technology/ai-test-humanitys-last-exam.html 「人類最後の試験」は、数学や人文科学、自然科学など幅広い分野の問題を詰め込んだベンチマークです。各問題は大学教授や著名な数学者などから出題されたものを厳選したものばかりで、どれも答えは存在するものの解くのが非常に難しい問題です。問題を提供したカリフォルニア大学バークレー校の素粒子理論の博士研究員、ケビン・チョウ氏は「採用された問題はどれも大学院試験で出題される範囲のものでした」と述べています。 生態学の分野では、「アマツバメ目のハチドリは、尾羽下制筋の広がった交差状の腱膜の尾側外側部分に埋め込まれた、左右対になった楕円形の種子骨を持つ。この種子骨によって支えられている腱ペアはいくつあるか？数字で答えよ」などの問題が出題されます。 基本的には多肢選択式および短答式で答える問題で、全部で3000問あります。Scale AIとCAISがこのベンチマークをOpenAIの「GPT-4o」やAnthropicの「Claude 3.5 Sonnet」、Googleの「Gemini 1.5 Pro」など複数のAIモデルに出題したところ、正解率10％を超えるモデルはなく、最高スコアは高い推論能力を備えたOpenAI「o1」の8.3％だったとのことです。 既存のテストでは高��点を取るような優れたモデルが撃沈したことに対し、CAISの共同設立者でエグゼクティブ・ディレクターのダン・ヘンドリクス氏は「モデルの進歩の速さを予測することはできない」と言及。今後1年の間に正解率50％を上回るモデルが出てくるだろうとの見方を示しました。 このようなベンチマークを作成した理由には、AIの進歩速度が早すぎて既存のベンチマークでは正確性を測れないことが背景にあります。例えば、ヘンドリクス氏が2021年に提案して広く使われるようになったMATHベンチマークだと、発表当時は10％を超えるモデルは存在しなかったのに、3年後には90％に到達するモデルが現れています。 中国のAI企業DeepSeekがOpenAI o1に匹敵する推論AIモデル「DeepSeek-R1-Lite-Preview」公開、オープンソース化する計画も - GIGAZINE Scale AIのリサーチ・ディレクターであるサマー・ユエ氏は、「データセットを研究コミュニティに公開し、既存のモデルの限界を探り続けながらさらに深く掘り下げ、新しいAIモデルを評価する予定です。この『人類最後の試験』で、究極のテストになることを目指して細心の注意を払って設計し、世界最先端のモデルに挑戦します」と述べました。 この記事のタイトルとURLをコピーする ・関連記事 MetaがAIモデル「Llama 3.3」をリリース、70BモデルでLlama 3.1の405Bモデルに匹敵する性能を発揮 - GIGAZINE Hugging FaceのAIモデルをテストする「Open LLM Leaderboard v2」で中国Qwenのモデルがトップに - GIGAZINE AlibabaのQwenチームがOpenAI o1に匹敵する推論モデル「QwQ-32B-Preview」を発表、数学や科学的推論において優れた性能を発揮 - GIGAZINE AppleのAI研究者らが「今のAI言語モデルは算数の文章題への推論能力が小学生未満」と研究結果を発表 - GIGAZINE 「AIは人間より高性能だが一部のテストでは人間の方が優秀」「高性能AIの学習コストは数百億円」などをまとめたスタンフォード大学のレポート「AI Index Report 2024」が公開される - GIGAZINE ・関連コンテンツ OpenAIが複雑な推論能力をもつAIモデル「OpenAI o1」と「OpenAI o1-mini」を発表、プログラミングや数学で高い能力を発揮 AIモデルが爆速で賢くなっているのでテスト方法が追いついていない AIの知能が急激に低下してしまう「ドリフト」問題はなぜ発生するのか？ Googleのエンジニアが人間がコーディングを行うよりも高速で自己進化するAI「AutoML-Zero」を発表 OpenAIのo3モデルが数学の超難問データセット「FrontierMath」で25.2％のスコアを獲得した衝撃を数学者が語る 世界で初めてロボットが人間の目の手術に成功、人間の外科医の10倍の精度を発揮 GPT-4oがAIベンチマークのARC-AGIで50％のスコアに到達、これまでの最高記録である34％を大幅に更新 奇妙な動きをする3本足のロボット「STriDER」

これまでで最も難しいAIテスト「人類最後の試験」リリース、3000の多肢選択問題と短答式の質問で構成 - GIGAZINE

[accapitalmarket]

US Stocks Push Higher, Netflix Surge 9.7%

US stocks ended higher on Wednesday as investors continued to assess President Donald Trump’s new policies, with tech issues helped by strong results from Netflix.

Markets have been buoyed by President Trump's move to avoid imposing harsh import tariffs immediately, as he had threatened, although he told reporters he was considering placing levies on Mexico and Canada as soon as February 1. Tariffs on the European Union and a punitive duty on China were also being discussed, the new US President added.

DXY H1

On foreign exchanges, Trump’s slow pace on tariff impositions had seen the dollar reverse to two-week lows. But with sterling weakened by higher-than-expected UK government borrowing figures, the greenback recovered 0.2% versus the pound to 0.81. The dollar also rallied 0.12% against the euro to 0.96 with the European Central Bank widely expected to cut interest rates more consistently this year than the Federal Reserve and the Bank of England.

The first Fed policy-setting meeting of 2025 will conclude on January 29 next week, but markets are expecting little from the gathering, with more focus on messaging from the White House than the central bank.

At the stock market finish in New York, the broad S&P 500 index gained 0.6% at 6,086, just shy of a new closing high, having hit an intra-day peak at 6,100.81. Meanwhile, the blue-chip Dow Jones Industrials Average was up 0.3% at 44,156, and the tech-laden Nasdaq Composite jumped 1.3% to 20,009.

Tech issues got a lift after President Trump unveiled a $500 billion joint venture, named Stargate, which aims to construct extensive AI data centers and electricity generation facilities in Texas over the next four years. Among the Stargate US partners, Oracle gained 6.8%, while Nvidia rose 4.4%, and Microsoft added 4.1%.

NAS100Roll H4

Netflix surged 9.7% after the streaming giant reported a record-breaking 19 million new subscriber additions in the fourth quarter of 2024, far surpassing Wall Street’s expectations.

Away from tech, Procter & Gamble rose 1.9% after the consumer goods giant saw its second quarter net sales beat analysts' estimates helped by strong demand in the key US market.

Travelers Companies gained 3.2% after the insurer beat estimates for fourth-quarter profit, as strength in its underwriting business cushioned a blow from elevated catastrophe losses.

And United Airlines added 2.3% after the carrier issued better than expected fourth-quarter results and gave an upbeat outlook.

But Johnson & Johnson fell 1.9%, weighed by drop in sales of its blockbuster psoriasis treatment Stelara, even as the pharma firm posted better-than-expected fourth-quarter adjusted earnings and sales.

Among commodities, oil prices stayed weak, extending hefty losses made earlier this week on the back of President Trump’s declaration of a national emergency to ramp up energy production.

US WTI crude was down 0.6% to $75.40 a barrel, while UK Brent crude fell 0.3% to $76.61 a barrel.

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The content of this market commentary is owned by AC Capital Market (V) Ltd. Any illegal reproduction of this content will result in immediate legal action.

[jcmarchi]

US-China AI chip race: Cambricon's first profit lands - AI News

New Post has been published on https://thedigitalinsider.com/us-china-ai-chip-race-cambricons-first-profit-lands-ai-news/

US-China AI chip race: Cambricon's first profit lands - AI News

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The US-China AI chip race has entered a new phase as Chinese chip designer Cambricon Technologies reports its first-ever quarterly profit. The milestone emerges against a backdrop of escalating US export controls that have increasingly restricted Chinese companies’ access to advanced semiconductor technology, particularly Nvidia’s sophisticated AI processors.

Cambricon’s breakthrough into profitability signals a significant shift in the US-China AI chip race, transforming from a 2016 startup into China’s most valuable artificial intelligence company, now valued at approximately 300 billion yuan ($41 billion).

While this represents only a fraction of Nvidia’s $3 trillion market capitalisation, it marks China’s growing capability to develop sophisticated AI chips domestically.

The company’s financial turnaround is particularly noteworthy in the context of technological competition between the world’s two largest economies. After years of losses, Cambricon reported its first quarterly profit in the final quarter of 2024, with net profits ranging from 240 million yuan to 328 million yuan, despite posting a 724 million yuan loss in the first nine months.

The market’s response to this shifting dynamic in the US-China AI chip race has been remarkable. Cambricon’s shares on the Shanghai Stock Exchange’s Star Market have surged more than 470% over the past year, climbing from 120.80 yuan to 695.96 yuan.

The company projects a 70% revenue increase to 1.2 billion yuan in 2024, driven by China’s aggressive buildup of computing infrastructure to support its AI ambitions.

At the technical level, Cambricon has positioned itself as China’s answer to US chip restrictions with its 7-nanometre AI chips. The company’s flagship Cambricon-1A processor has gained significant traction in the domestic market, particularly in products from major technology companies like Huawei Technologies.

The stakes in the US-China AI chip race continue to rise, with analysts at Changjiang Securities projecting that China’s AI semiconductor market will reach 178 billion yuan by 2025. Beijing’s push for semiconductor self-sufficiency and increasing investments from domestic technology companies in AI infrastructure are fueling this growth.

Recent US regulations announced in January 2025 have intensified the race, restricting Chinese access to advanced AI technology and limiting it to American companies and their allies. In response, major Chinese technology companies are investing heavily in domestic computing infrastructure.

ByteDance, TikTok’s parent company, has committed 4.5 billion yuan to a new computing centre in Datong City, Shanxi province. This highlights the growing market opportunity for domestic chip manufacturers.

While Cambricon’s progress represents a significant advancement in the US-China AI chip race, challenges remain. The company must continue to narrow the technological gap with international competitors while maintaining its growth trajectory.

However, supportive government policies and growing domestic demand provide a favourable environment for continued development. Cambricon’s inclusion in the SSE 50 Index, which tracks the Shanghai Stock Exchange’s most valuable companies, underscores its strategic importance to China’s technology sector.

As global tensions persist and access to foreign technology becomes more restricted, developing domestic AI chip capabilities has become increasingly important for China’s technological advancement and economic security.

Tags: ai, artificial intelligence, China, Nvidia

[digicloudm]

2 Top Nasdaq Stocks to Buy Before They Skyrocket in 2025

The Nasdaq Composite index had a solid 2024 with impressive gains of almost 31% during the year. This isn’t surprising considering the tech-heavy nature of the index that benefited from the impressive growth reported by several technology companies last year thanks to catalysts such as artificial intelligence (AI). It is worth noting that the Nasdaq Composite index’s impressive performance in…

[visionarycios]

Snowflake Shares Surge 19% Following Strong Earnings and Revenue Beat

https://visionarycios.com/wp-content/uploads/2024/11/VCIO-23-11-2024-1-Snowflake-Shares-Surge-19-Following-Strong-Earnings-and-Revenue-Beat-Source-yahoo.com_.jpg

Source: yahoo.com

Snowflake shares jumped 19% in after-hours trading on Wednesday after the data analytics software company reported fiscal third-quarter earnings that exceeded analysts’ expectations.

Earnings and Revenue Performance

For the quarter ending October 31, Snowflake Shares reported adjusted earnings per share of 20 cents, surpassing analysts’ expectations of 15 cents. Revenue for the quarter came in at $942 million, well above the $897 million anticipated by analysts. This represented a 28% year-over-year growth in revenue.

Despite the revenue increase, the company reported a widened net loss of $324.3 million, or 98 cents per share, compared to a loss of $214.3 million, or 65 cents per share, in the same period last year. Product revenue accounted for approximately 96% of total sales.

Upgraded Guidance for Fiscal 2025

Snowflake updated its fiscal 2025 guidance, projecting $3.43 billion in product revenue, which implies a 29% growth rate. This marks an increase from the $3.36 billion forecast provided three months ago. Additionally, the company revised its adjusted operating margin forecast to 5%, up from the previous guidance of 3% issued in August.

Focus on Efficiency

Snowflake’s CEO, Sridhar Ramaswamy, emphasized the company’s efforts to improve operational efficiency. He highlighted initiatives such as creating centralized teams and reducing redundant management layers to streamline decision-making processes.

The company is not planning significant layoffs, according to Chief Financial Officer Mike Scarpelli, but continues to focus on cost-saving measures to enhance overall efficiency.

Customer Growth and Federal Opportunities

Snowflake Shares added 369 customers during the quarter, bringing its total customer count to 10,618 as of the end of October. Analysts had projected 10,601 customers for the quarter.

Scarpelli also pointed to potential growth in the federal sector, noting opportunities for expansion in this space over the next few years. In September, Snowflake acquired Night Shift Development, a company focused on the public sector in the United States, to bolster its presence in government markets.

Similar New: Walmart Sales Surge as Retailer Raises Outlook

Key Partnerships and Acquisitions

Snowflake announced a multiyear partnership with Anthropic, an artificial intelligence startup backed by Amazon and a competitor to OpenAI. The collaboration highlights Snowflake’s growing focus on integrating AI capabilities.

The company also revealed its acquisition of Datavolo, a startup, for an undisclosed amount. This acquisition aims to further enhance Snowflake’s offerings in data analytics and cloud technology.

Cloud Partnerships Drive Growth

Snowflake shares continues to compete with cloud providers like Amazon and Microsoft, which also serve as key partners by supplying the company with essential computing resources.

Ramaswamy stated that Snowflake’s collaboration with Amazon Web Services (AWS) has generated over $3.9 billion in bookings over the past four quarters, underscoring the importance of strategic partnerships in driving growth.

Stock Performance

Snowflake’s stock has struggled throughout 2024, down 35% year-to-date as of Wednesday’s close. In comparison, the S&P 500 index has risen by 24% during the same period. However, the strong third-quarter performance and improved guidance have provided a much-needed boost to investor confidence, as reflected in the after-hours trading surge.

Snowflake’s robust results and strategic initiatives position it for continued growth, with a renewed focus on efficiency and expansion into new markets such as the federal sector and AI partnerships.

[generativeinai]

AI Enterprise Search: Transforming Data into Actionable Insights

In today's data-driven business environment, organizations are collecting more information than ever before. However, the true challenge lies in making sense of this vast amount of data. This is where AI enterprise search comes into play, enabling companies to transform their complex and scattered data into actionable insights that drive business growth. In this blog, we will explore how AI enterprise search is revolutionizing the way organizations access, analyze, and utilize their data.

What is AI Enterprise Search?

AI enterprise search refers to the use of artificial intelligence (AI) technologies, such as natural language processing (NLP), machine learning, and advanced analytics, to improve the search capabilities within an organization’s data ecosystem. Unlike traditional search engines, AI-powered enterprise search systems do more than just return a list of keywords or phrases. They understand the context of a search query, can retrieve relevant results from vast and varied data sources, and even provide insights to help decision-makers act quickly and effectively.

These search solutions are integrated into a company’s data infrastructure, encompassing everything from emails and documents to databases and knowledge management systems, and they help businesses extract meaningful insights from this information with minimal effort.

The Importance of Actionable Insights

Before diving into how AI enterprise search transforms data, it’s crucial to understand what "actionable insights" are and why they matter. In essence, actionable insights are pieces of information that lead to clear, strategic decisions or actions. For businesses, these insights could be anything from identifying market trends and customer preferences to uncovering operational inefficiencies or pinpointing new growth opportunities.

Data alone isn’t useful until it is converted into actionable insights. AI enterprise search makes this process faster, more accurate, and more efficient by utilizing advanced algorithms to analyze large data sets, understand context, and surface relevant information. This capability ensures that decision-makers can focus on what's important without wading through overwhelming amounts of raw data.

How AI Enterprise Search Transforms Data into Actionable Insights

Context-Aware Search

AI enterprise search systems go beyond simple keyword matching by understanding the context of a user’s query. For example, if a team member searches for "sales strategy," an AI system can distinguish between various interpretations of the phrase—such as strategic approaches for increasing revenue or methods for structuring sales teams—and deliver the most relevant documents, reports, and recommendations based on what the user is truly seeking. This reduces the time spent filtering through irrelevant results and increases the likelihood of uncovering valuable insights.

Advanced Data Indexing and Categorization

Traditional search systems rely on predefined keywords and tags to organize and index data, which can be limiting. AI enterprise search, on the other hand, uses machine learning algorithms to automatically categorize and tag content based on its context. By continuously learning from new data, these systems can evolve and refine their indexing methods to ensure that search results remain highly relevant over time. This means that AI can effectively handle complex and unstructured data—such as emails, PDFs, or social media posts—helping employees find what they need without manual effort.

Natural Language Processing (NLP)

Natural language processing enables AI enterprise search to understand human language, enabling users to search in a conversational or natural way. Instead of relying on exact keywords, employees can ask questions like, "What were the key trends in our 2024 sales forecast?" or "How can we improve customer satisfaction in the retail sector?" The AI can then interpret the question, extract the relevant data, and return results that offer actionable insights, whether they are in the form of reports, graphs, or suggestions.

Sentiment Analysis

AI enterprise search tools can also apply sentiment analysis to gain insights from unstructured data sources such as customer feedback, reviews, and social media posts. By analyzing the sentiment behind customer opinions, businesses can better understand customer needs, concerns, and satisfaction levels. This kind of intelligence is essential for refining products, improving services, and responding more effectively to market demands.

Personalized Insights and Recommendations

One of the most powerful features of AI enterprise search is its ability to personalize search results based on the user’s past behavior, role within the company, and preferences. For instance, a marketing executive might receive search results focused on consumer trends and campaign performance, while a financial analyst might be presented with financial reports or market forecasts. By delivering tailored insights, AI ensures that each employee has the information they need to make informed decisions that align with their specific goals.

Automated Reports and Dashboards

AI enterprise search can go beyond just returning search results. Some platforms allow AI systems to generate automated reports or create interactive dashboards based on the data retrieved. For example, an AI system might pull data from across an organization, analyze trends, and automatically generate a report on sales performance or customer behavior. These automated insights can save hours of manual work, enabling teams to act quickly on emerging trends or problems.

Predictive Analytics

By combining historical data with machine learning algorithms, AI enterprise search platforms can also deliver predictive insights. These predictions can help businesses forecast trends, sales, or customer behavior, enabling proactive decision-making. For instance, if a company notices a drop in customer satisfaction scores, AI can predict potential reasons and suggest actions to improve satisfaction before it negatively impacts retention rates.

Real-World Applications of AI Enterprise Search

AI enterprise search is being used across various industries, each benefiting from its ability to generate actionable insights:

Healthcare: Medical professionals can search for the latest research papers, patient data, and clinical guidelines, helping them make faster, evidence-based decisions.

Retail: Retailers use AI enterprise search to analyze customer feedback, product reviews, and sales data, helping them optimize their inventory and marketing strategies.

Finance: Financial analysts leverage AI-powered search to find relevant market reports, news articles, and historical data, helping them make better investment decisions.

Legal: Law firms utilize AI search tools to sift through vast amounts of case law, contracts, and legal precedents, ensuring they find the most relevant information in a fraction of the time.

The Future of AI Enterprise Search

As AI technology continues to evolve, the capabilities of AI enterprise search will only improve. Future advancements may include even deeper integration with business intelligence platforms, allowing for more sophisticated data visualizations, real-time insights, and fully automated decision-making systems. Additionally, AI-powered search will continue to evolve in its ability to understand complex queries and deliver personalized, highly accurate results.

In the near future, companies that adopt AI enterprise search tools will likely have a competitive advantage. By making data more accessible and actionable, AI empowers organizations to stay ahead of the curve and drive innovation.

Conclusion

AI enterprise search is not just a tool for finding information—it’s a powerful engine for transforming vast, often chaotic, data into actionable insights that drive better decision-making. By harnessing advanced AI technologies such as machine learning, NLP, and predictive analytics, businesses can unlock valuable intelligence hidden within their data. As organizations continue to face mounting challenges in managing large volumes of data, AI enterprise search will be a game-changer for businesses looking to remain competitive, efficient, and data-driven.

Embracing AI enterprise search means embracing the future of business intelligence—turning raw data into knowledge that fuels growth, efficiency, and innovation.

[blockinsider]

US Spot ETF Issuers’ Cash Outflows Spark Bitcoin’s Bearish Start to 2025

Key Points

Bitcoin (BTC) is expected to enter 2025 in bearish correction mode, with significant cash outflows from US Spot ETF issuers.

The cryptocurrency industry is predicted to shift from speculative to utility-focused in 2025, driven by clearer regulations, institutional adoption, and AI-crypto convergence.

Bitcoin’s price ended 2024 on a bearish note, falling below a key support level around $93K. Despite being in a correction phase since hitting nearly $100K earlier in the month, investors anticipate a bullish recovery in 2025, propelled by institutional adoption.

Industry Shift in 2025

Financial services company Franklin Templeton forecasts a shift in the cryptocurrency industry from speculation to utility in 2025. The industry is becoming a vital part of the global financial sector, spurred by clearer regulatory frameworks, institutional adoption, and significant developments in AI-crypto convergence.

Institutional Bitcoin Activity in Late 2024

Institutional demand for Bitcoin varied significantly in the final days of 2024. US spot Bitcoin ETFs recorded a net cash outflow exceeding $800 million over the last two weeks. On December 30, US spot Bitcoin ETFs saw a net outflow of around $426 million, with no issuers registering a net cash inflow.

BlackRock’s IBIT reported a net cash outflow of about $36.52 million, Grayscale’s GBTC had a net cash outflow of around $134 million, and Fidelity’s FBTC recorded a net cash outflow of approximately $154 million.

As a result, the US spot Bitcoin ETF market is predicted to end 2024 with total net assets exceeding $106 billion, making it the best-performing ETF in its debut year.

Meanwhile, MicroStrategy Inc. continued its weekly Bitcoin purchases, investing about $209 million between December 23 and 29. Consequently, the company will end the year with around 446,400 Bitcoins, accounting for more than 2 percent of the total supply.

What’s to Come?

On-chain data analysis from CryptoQuant suggests that Bitcoin’s price could continue in bearish correction in the short term, potentially finding solid support at around $80K, a level where traders have little incentive to sell. Bitcoin’s price also lost a key support level around $93k in the past 24 hours, potentially signaling further selloffs in the near term.

From a technical analysis perspective, Bitcoin’s price has been forming a bearish reversal pattern over the past few weeks. Coupled with the bearish divergence on the Relative Strength Index (RSI), Bitcoin’s price closing below the 50-day Moving Average (MA) over the past five days indicates further bearish sentiment.

However, crypto analyst Ali Martinez remains optimistic that the macro Bitcoin bull run is not over, as the bear market typically begins once the monthly RSI reaches 92 and it is currently around 75%.