Microsoft

This 14-inch HP laptop with a year of Microsoft Office is on sale for $179

HP is one of the most trusted names in the computing industry as one of the best laptop brands. Its products include budget-friendly options, versatile 2-in-1 devices, and powerful gaming machines, among many others. Whatever kind of laptop you need and no matter your budget, you’ll surely be able to find a good match from

HP is one of the most trusted names in the computing industry as one of the best laptop brands. Its products include budget-friendly options, versatile 2-in-1 devices, and powerful gaming machines, among many others. Whatever kind of laptop you need and no matter your budget, you’ll surely be able to find a good match from HP, but the catch is that you need to hurry with your purchase when you come across an offer that’s perfect for you. That’s because these bargains may disappear at any moment. To help you get started with your search, we’ve gathered some of the best HP laptop deals that you can shop right now.

Contents
  • HP Laptop 14z — $250, was $450
  • HP Pavilion Laptop 15t — $600, was $1,000
  • HP 255 G9 — $749, was $1,595
  • HP ENVY Laptop 17t — $790, was $1,290
  • Victus by HP Gaming Laptop 16t — $800, was $1,150
  • HP ProBook 455 G9 — $849, was $1,271
  • HP ENVY Laptop 16t — $1,000, was $1,350
  • HP Omen Gaming Laptop 16t — $1,200, was $1,500
  • How to choose an HP laptop

HP Laptop 14z — $250, was $450

The HP Laptop 14z-emsrcsrcsrc with a window open.
Image used with permission by copyright holder

If you’re looking for laptop deals and steals, then the HP Laptop 14z is a good place to start your search. It features AMD Radeon graphics, 8 GB of Ram, and an impressive-for-the-cost 128 GB SSD. The HP Laptop 14z’s 14-inch screen features a 1366 x 768 resolution screen. Despite its low cost, you can still use this for Skype conversations and Zoom meetings with its HP True Vision 720p camera that features dual array digital microphones. If you’ve been thinking this fits amongst our student laptop deals, especially for younger students, due to its low cost and full features, you’ll be especially entertained to know it has an emoji button! Perfect for a quick message to a friend or family.

HP Pavilion Laptop 15t — $600, was $1,000

The HP Pavilion 15t-eg3srcsrc laptop against a white background.
HP

For a laptop that provides a bit more, while still staying at an impressively low price, the HP Pavilion Laptop 15t has stats you might want to check it. It brings an Intel Core i7 processor and 16GB of RAM, which our guide to necessary RAM amounts considers in line with top-tier machines. A 256 GB SSD and a 15.6-inch anti-glare FHD display of don’t hurt, either. HP highlights the B&O speakers of the HP Pavilion Laptop 15t as well as its fast charging battery. In other words, if you’re looking for an HP laptop that checks all the bases while avoiding fluff just to have it, all for a nice price, this is the laptop for you this month.

HP 255 G9 — $749, was $1,595

The HP 255 G9 laptop against a white background.
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Can you get premium for under $1,000? That obviously depends on your definition of premium, but this HP laptop at over 50% should certainly tempt you. Those looking for business laptops on the cheap will appreciate its mic’s AI-enhanced noise reduction as well as its HD camera with wide dynamic range (WDR). But even when you aren’t in a meeting, the HP 255 G9’s AMD Ryzen 5 processor, 16GB of RAM, and 512 GB of SSD storage will serve you well. When working, enjoy its 1366 x 768p screen of 15.6-inches and do something that even most iPhone users can’t do — plug your headphones into an actual headphones jack.

HP ENVY Laptop 17t — $790, was $1,290

A side profile of the HP Envy 17-inch laptop against a white background.
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If you’re needs are on the creative side more than raw business, check out the HP ENVY Laptop 17t. It runs on an Intel i7 processor and 16 GB of RAM, but creatives are going to want to look out for its wireless image file sharing with HP Palette, which also lets you search for images via facial recognition and other tools. Throw images onto your HP ENVY 17t and look at them on the beautiful, large 17.3-inch screen in 1080p. And images are something you might end up taking a lot of, too, and not just with your phone camera. The HP ENVY Laptop 17t features a 5MP camera with auto frame alongside 512 GB of storage for whatever you get on your laptop, no matter the source.

Victus by HP Gaming Laptop 16t — $800, was $1,150

The Victus by HP Gaming Laptop 16t with a menu open.
HP

HP’s Victus is a gaming laptop line that has been repeatedly praised for its budget pricing while still maintaining gaming-level quality. For example, it has an RTX 3050 within, working alongside a 13th Gen Intel Core i5 processor. Its 16 GB of RAM is certainly high for a laptop (to put it into perspective, it is the RAM for Baldur’s Gate 3 recommended performance). For your games library, you’ll have access to 512 GB of SSD storage. Filling up that storage can be done especially fast, even via WiFi with the Victus 16t’s WiFi 6. So, if you want gaming on a laptop — and don’t want to break the bank — try this Victus.

HP ProBook 455 G9 — $849, was $1,271

The HP ProBook 445 G9 with a menu open.
Image used with permission by copyright holder

The HP ProBook 455 G9’s goal is to bring commercial-level business laptop functionality to the masses. Part of that comes from its AMD Ryzen 5 processor with 16 GB of RAM and 1 TB of SSD storage, sure, but there is more to this 15.6-inch laptop that specs alone. While you’ll still want the best antivirus you can find, there are a ton of great security and privacy features available for HP ProBook 455 G9 users. HP Sure Sense, for example, uses deep learning AI to sniff out rapidly evolving malware while hardware-enforced security from HP Sure Click ensures the documents and websites you load won’t leak your sensitive info to the world. Finally, the 720p camera has a built-in priv

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Microsoft

Market Veteran Raoul Pal Predicts Ethereum Comeback Against Bitcoin with Donald Trump’s Victory

Crypto market expert Raoul Pal believes Trump could create a more favorable regulatory environment, which might help Ethereum outperform Bitcoin. Pal compares Ethereum to Microsoft in its early days, saying its reliability and widespread adoption make it a top choice for traditional finance institutions. Pal acknowledges that while Ethereum has strengths…

Crypto market expert Raoul Pal believes Trump could create a more favorable regulatory environment, which might help Ethereum outperform Bitcoin.
Pal compares Ethereum to Microsoft in its early days, saying its reliability and widespread adoption make it a top choice for traditional finance institutions.
Pal acknowledges that while Ethereum has strengths…
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Microsoft

Microsoft’s decision on Bitcoin could trigger shareholder lawsuit

Key Takeaways Microsoft shareholders will vote in December on a proposal driven by the NCPPR regarding Bitcoin investment. NCPPR warns that Microsoft’s decision not to invest in Bitcoin could lead to shareholder litigation if Bitcoin’s value rises. Share this article Microsoft shareholders will vote in December on whether the company should assess investing in Bitcoin

Key Takeaways

  • Microsoft shareholders will vote in December on a proposal driven by the NCPPR regarding Bitcoin investment.
  • NCPPR warns that Microsoft’s decision not to invest in Bitcoin could lead to shareholder litigation if Bitcoin’s value rises.

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Microsoft shareholders will vote in December on whether the company should assess investing in Bitcoin, a proposal driven by the National Center for Public Policy Research (NCPPR).

According to a report by Cointelegraph, the NCPPR warns that Microsoft could face shareholder litigation if it decides against Bitcoin investment and the digital asset’s value subsequently rises.

“If Microsoft publicly decides it’s not in shareholders’ best interest to buy Bitcoin, and then Bitcoin’s value rises, shareholders may have grounds to sue,” Ethan Peck, deputy director of NCPPR’s Free Enterprise Project, told Cointelegraph.

Microsoft’s board has recommended shareholders vote against the proposal, stating they already evaluate a “wide range of investable assets,” including Bitcoin.

In its proposal to Microsoft, the NCPPR highlighted MicroStrategy’s Bitcoin investment strategy, noting that it has outperformed Microsoft by over 300% this year despite conducting a fraction of Microsoft’s business volume.

The research center also highlighted increasing institutional adoption through spot Bitcoin ETFs.

In October alone, BlackRock’s Bitcoin ETF reportedly acquired $4.6 billion in Bitcoin, bringing the ETF’s total valuation to $31 billion, according to data from Farside Investors and Arkham.

Collectively, Bitcoin ETFs now hold over $72 billion in market cap, underscoring the growing interest from institutions.

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With Decentralized AI and Tokenized Ownership, We Can Fight ‘The Six’

Opinion Share Share this article Copy link X icon X (Twitter) LinkedIn Facebook Email With Decentralized AI and Tokenized Ownership, We Can Fight ‘The Six’ Orthodox venture capital will never provide the resources for decentralized AI to take on Microsoft, Alphabet, Apple, et al. The only way is to supplant equity financing with user-owned, token-based

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With Decentralized AI and Tokenized Ownership, We Can Fight ‘The Six’

Orthodox venture capital will never provide the resources for decentralized AI to take on Microsoft, Alphabet, Apple, et al. The only way is to supplant equity financing with user-owned, token-based systems, says Michael J. Casey, Chairman of The Decentralized AI Society.

By Michael J. Casey|Edited by Benjamin Schiller
Updated Nov 1, 2024, 7:20 p.m. Published Nov 1, 2024, 7:16 p.m.
(Pixabay)

The past two days’ share price moves for the six most heavily capitalized companies in the U.S. tell you all you need to know about why we must urgently decentralize the artificial intelligence economy.

The first headlines were that the third-quarter profits and revenue from Microsoft, Alphabet, Apple, Meta and Amazon all beat or met expectations. Yet, with the exception of Amazon’s on Friday, Big Tech’s shares all sold off in response to their earnings announcements, dragging down with them chip-maker Nvidia, the sixth member of the group, whose quarterly reporting is scheduled a month later.

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What spooked investors were some daunting capital expenditure numbers on AI computing power and model development. Alphabet, for one, said it did $13 billion in capex last quarter and expects to do the same in this one while Meta upped its full-year projected spending to $38-40 billion. The giants are in a spending war as each tries to outrace the others toward AI supremacy. Each one of them stands to lose profit margins if it gets out of control.

Let’s be clear: between them, The Six are booking $1.8 trillion in annual revenues, a number that would put their combined inflows in 10th place of global country rankings if we viewed them as a proxy for national GDP – just behind the gross output of Brazil’s 220 million people. Meanwhile, The Six have a combined market capitalization of $15 trillion, capturing an astounding one third of the entire S&P 500 index. Despite – or perhaps because of – this unprecedented scorecard, these companies are relentlessly competing for world domination. Doing what great American companies have always done, they’re unleashing a competitive instinct that, in a normal capitalist economy of diversified goods and services, is the core driver of technological progress.

So, don’t worry about The Six. Worry about us. Because our problem amid the dizzying advance of AI is definitely not one of a shortfall in technological progress. It’s that this particular form of technological progress comes with risks to human autonomy and safety. And to mitigate them, the question of who controls AI’s development and whether their incentives are aligned with the broadest base of humanity is fundamental.

Just as was the case for Alphabet’s Google, Meta’s Facebook and Amazon’s marketplace, the development of these six companies’ large language models (LLMs) and other AI machinery is occurring within closed, black-box systems.They’ve ingested the troves of data we all unwittingly poured into internet sites, and have built highly complex codebases into which no one has visibility. Between them, they dominate all layers of the AI stack: the storage (Amazon Web Services), the chips for computation (Nvidia), the AI models (Microsoft, with its investment in Open AI), the data (Alphabet and Meta) and the devices we use to interact with AI services (Apple). They might be competing with each other, but they form a vertically diversified oligopoly. Or rather, given the undeniable power that their technology can wield over people’s lives, they’re an oligarchy. Indeed, the secrecy around the means by which they exercise that power is characteristic of most oligarchical dictatorships.

Toward the latter phase of the Web2 era, people eventually came to understand Bruce Schneier’s memorable observation that we are not the internet platforms’ customers; we are their products. With that awareness, we’re now also finally opening our eyes to how these companies have long been incentivized to modify people’s behavior in unhealthy ways to maximize shareholder returns. It is no longer controversial to talk of the psychological harm done by the algorithms of Facebook, YouTube, Tik Tok and their ilk, which were blatantly designed to exploit dopamine releases to encourage continued, addictive engagement.

When Frank McCourt and I published Our Biggest Fight in March 2024, we were overwhelmed by parents’ horror stories of the harm social media had done to their kids. And then a Harris Poll coordinated by NYU Professor Johathan Haidt found that young people are just as concerned: nearly half of Gen Z wishes that TikTok and X (Twitter) never existed, even as 83% of the same cohort said they spend four hours a day or more on social media.

So, if we now know of the harms, why on earth would we extend the same oligopolistic control structure into the AI era? AI will put the Web2 oligopoly on steroids.

This is why I believe the creation of distributed, collectively owned open-source AI is a vitally important use case for Web3 and blockchain technology. It’s the only way to avoid the problem of misaligned incentives.

Sure, there are technical challenges, such as the latency that, for now, makes distributed machine learning inefficient, the capacity limits of on-chain data, or the privacy risks inherent to public blockchains. But innovators are already hard at work on outside-the-box solutions to these problems, motivated by the huge economic and reputational payoff promised by overcoming them. And when they do, the inherent information advantages enjoyed by open systems over closed systems will give decentralized AI a fighting chance. Achieve that, and “DeAI” will represent not only the right moral path but also the economic winner.

Here’s the rub: time is not on our side. And the fight is heavily lopsided. As cited above, The Six have an unprecedented $15 trillion war chest. In the 2000s, Facebook and Google learned that their high-value share prices gave them a currency with which to relentlessly acquire startups that could either enhance or threaten their dominance. Now, The Six have even greater capacity to buy up and integrate whatever breakthroughs in AI are coming, be it in independent AI agents or more efficient systems of compute. Their financial clout means that the most important innovations, those that offer the best hope for a more decentralized AI economy, are at risk of being subsumed into their centralized system. Remember, they’re competing with each other and are incentivized to do whatever it takes to win.

To fight their centralized approach, we must flip the paradigm. Orthodox venture capital will never provide anywhere near enough resources for decentralized competitors to take on the big guys. The only way is to supplant equity financing models with full user-owned, token-based systems. In the future, when your home devices provide the compute and deliver your privacy-preserved data into open-source models that are proven to act in your interests, you will earn tokens for that work. And, with that currency, you will pay for all the cool services delivered by your personal AI agent. It’s a new, distributed financing and payments system for a new, decentralized AI economy. It is the only way.

Yet, to succeed, the crypto and blockchain industry has to reimagine itself. If startup founders see DeAI merely as a new source of get-rich-quick token-pump opportunities, or if the leaders of the Layer 1 platforms now turning to the field are fixated more on applications that temporarily drive up the dollar value of their tribe’s cryptocurrency rather than on those that address real, economy-wide problems, this movement will fail. To win this fight, this industry must become more interoperable. It must become more collaborative.

This is not to say we should squash the competitive instincts that are vital to innovation. But it is to acknowledge a need for better cross-industry organization. Through collaborative bodies such as the new Decentralized AI Society, different stakeholders can work with each other to advance common interests around standards, reference architectures, taxonomies, policy objectives and open-source, cross-chain protocols that everyone can use regardless of the token they hold. We’re not building to pump our bags or take our token “to the moon.” We’re building to create a new decentralized AI economy for the benefit of all humanity.

Come join the fight.

Note: The views expressed in this column are those of the author and do not necessarily reflect those of CoinDesk, Inc. or its owners and affiliates.

Note: The views expressed in this column are those of the author and do not necessarily reflect those of CoinDesk, Inc. or its owners and affiliates.

Opinion
Michael J. Casey

Michael J. Casey is Chairman of The Decentralized AI Society, former Chief Content Officer at CoinDesk and co-author of Our Biggest Fight: Reclaiming Liberty, Humanity, and Dignity in the Digital Age. Previously, Casey was the CEO of Streambed Media, a company he cofounded to develop provenance data for digital content. He was also a senior advisor at MIT Media Labs’s Digital Currency Initiative and a senior lecturer at MIT Sloan School of Management. Prior to joining MIT, Casey spent 18 years at The Wall Street Journal, where his last position was as a senior columnist covering global economic affairs.

Casey has authored five books, including “The Age of Cryptocurrency: How Bitcoin and Digital Money are Challenging the Global Economic Order” and “The Truth Machine: The Blockchain and the Future of Everything,” both co-authored with Paul Vigna.

Upon joining CoinDesk full time, Casey resigned from a variety of paid advisory positions. He maintains unpaid posts as an advisor to not-for-profit organizations, including MIT Media Lab’s Digital Currency Initiative and The Deep Trust Alliance. He is a shareholder and non-executive chairman of Streambed Media.

Casey owns bitcoin.

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Michael J. Casey

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Metaplanet Exceeds 1,000 Bitcoin Holdings After Latest Purchase

TLDR Metaplanet purchased 156 additional BTC, bringing total holdings above 1,000 BTC Company stock rose 6.06% following the announcement Metaplanet achieved 116% Bitcoin yield in October 2023 Company raised 10 billion Yen through Stock Acquisition Rights Microsoft considering Bitcoin investment, subject to shareholder approval Metaplanet, Asia’s largest corporate Bitcoin holder…

TLDR Metaplanet purchased 156 additional BTC, bringing total holdings above 1,000 BTC Company stock rose 6.06% following the announcement Metaplanet achieved 116% Bitcoin yield in October 2023 Company raised 10 billion Yen through Stock Acquisition Rights Microsoft considering Bitcoin investment, subject to shareholder approval Metaplanet, Asia’s largest corporate Bitcoin holder…
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