November 16, 2025

Web and Technology News

AMD brings RDNA 3 to laptops with Radeon 7000 GPUs

After taking a big swing at high-end desktop gaming with its RDNA 3 GPUs, AMD is bringing that technology down to laptops. At CES today, the company unveiled an array of Radeon RX 7000 mobile graphics cards. There's the Radeon RX 7600M XT and 7600M, both targeted at high fps 1080p gaming, as well as the RX 7700S and RX 7600S, which are meant for thin and light notebooks. But that's not all! There are also a few more mobile GPUs using AMD's last-gen RDNA 2 technology, which will likely end up in more affordable laptops.

Let's start with the RX 7600M XT, though, as it represents the pinnacle of AMD's laptop gaming ambitions. It features 32 compute units, 8GB of GDDR6 memory, and it can use up to 120 watts worth of power. According to AMD, it soundly beats the desktop RTX 3060 GPU, which is notable since that card is faster than NVDIA's laptop models. The 7600M XT can reach up to 184 fps in Hitman 3 with maxed out graphics settings, whereas the 12GB RTX 3060 hits 160fps. It's not faster in every title, though, as AMD notes that the new GPU is 9fps slower than the 3060 in PlayerUnknown's Battlegrounds (145fps vs 154 fps).

AMD Radeon 7000 GPU
AMD

It'll be more interesting to see how the RX 7700S and 7600S actually perform in thin and light machines. The 7700S features the same 32 compute units and 8GB of RAM as the 7600M XT, but it maxes out at 100W of power. AMD says the 7700S can reach up to 87fps in Cyberpunk 2077 and 147fps in Death Stranding with maxed out 1080p graphics.

Based on my review of AMD's RDNA 3 GPUs, it's clear the company has some powerful architecture. But those cards also lagged far behind NVIDIA's when it came to ray tracing performance, especially once I enabled DLSS 3 upscaling. AMD's FidelityFX Super Resolution 3.0 upscaling just couldn't compete. The company says it's developed a new feature, dubbed Smart Shift RSR, which offers upscaling "decoupled from the GPU." Details are a bit fuzzy, but it supposedly adds more performance. AMD says it'll arrive sometime in the first half of 2023.

You can expect to see AMD's Radeon RX 7000 GPUs in laptops next month. It'll be featured in AMD Advantage editions of Alienware's M16 and M18, as well as ASUS's TUF Gaming A16. Almost as an afterthought, AMD also briefly noted the launched of several new Radeon 6000 GPUs, including the Radeon RX 6550M, featuring 16 compute units and 4GB of RAM. A wider variety of GPUs is ultimately a good thing for consumers, since it means you're more likely to find a gaming laptop within your budget.

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Hitting the Books: US regulators are losing the fight against Big Tech

Today’s technology landscape is dominated by a small cadre of massive corporations with the likes of Meta, Amazon and Google snapping up fledgling startups before they can grow into potential competitors, ignoring labor laws that don’t suit their immediate needs, and generally operating like the dystopian corpro-villains Johnny Mnemonic warned us about. Traditionally, state regulation has acted as a gentle brake against American industries’ more problematic tendencies, however the speed at which modern computing and communications technologies advance has overwhelmed the government’s capacity to, well, govern them. 

In their new book, Access Rules: Freeing Data from Big Tech for a Better Future, Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at Oxford, and Thomas Ramge, author of Who’s Afraid of AI?, argue passionately against the data-hoarding practices of today’s biggest tech companies and call for a more open, equitable means of accessing the information that these companies have amassed. One such method, explored in the excerpt below, involves addressing Big Tech’s monopoly power directly, as the Biden administration has in recent years, though the efforts have not been particularly effective. 

white background and that spinny loading symbol you get when you run more than 12 chrome tabs simultaneously. No not the beachball, the other one with the circle of blinky lines -- yeah that one, but make it rainbow colors. Same with the authors' names at the top, rainbow for that text too.
UC Press

Excerpted from Access Rules: Freeing Data from Big Tech for a Better Future by Viktor Mayer-Schönberger and Thomas Ramge, published by the University of California Press. © 2022 by Thomas Ramge and Viktor Mayer-Schönberger.


Early into his term, President Biden appointed Tim Wu, who had argued in favor of breaking up Facebook and written popular books on the dangers of Big Tech market concentration, to the National Economic Council as a special assistant to the president for technology and competition policy. Putting one of the most outspoken advocates of Big Tech trustbusting into a top advisory role is a powerful signal the Biden administration is taking a far more confrontational course.

Wu isn’t alone. His appointment was followed by the choice of Lina Khan for chair of the Federal Trade Commission (FTC). Khan’s youth — she was in her early 30s when nominated — belies her intellectual power and political credentials. A professor at Columbia Law School like Wu, Khan had authored influential papers on the need to fight Big Tech’s unchecked power. And she had explained why existing antitrust law was ill equipped to deal with Silicon Valley platform providers. But Khan isn’t just a Big Tech critic; she also offered a radical solution: regulate Big Tech companies as utilities, much like electricity providers or the venerable AT&T before telecom deregulation. With Khan at the FTC and Wu as advisor having the ear of the president, Big Tech could be in serious trouble.

Not just antitrust experts serving in government like Tim Wu and Lina Khan fear that the monopolistic structure of American tech dominance could turn into its Achilles heel. Think tanks and advocacy groups on both left and right have been joining the critics. Disruptive entrepreneurs and venture capitalists such as Elon Musk and Peter Thiel regard the well-rehearsed dance of Big Tech and venture capital with increasing skepticism, concerned that the intricate choreography is thwarting the next generation of disruptive founders and technologies. Taken together these voices are calling on and supporting regulators and legislators to prevent the most obvious cases of large companies removing potential competitors from the market by acquiring them—cases comparable to Facebook’s takeover of Instagram or Google’s acquisition of Waze. And they call on venture capitalists to take on the role for which Joseph Schumpeter originally conceived this class of investment capital, the role that the venture capitalists on Sand Hill Road in Menlo Park fulfilled up to the first decade of this century: financially support the bringing to market of new, radically better ideas and then enable them to be scaled up.

The antitrust tide is rising in the United States. And yet it’s questionable that well-intentioned activist regulators bolstered by broad public support will succeed. The challenge is a combination of the structural and the political. As Lina Khan herself argued, existing antitrust laws are less than useful. Big Tech may not have violated them sufficiently to warrant breaking them up. And other powerful measures, such as declaring them utilities, require legislative action. Given the delicate power balance in Congress and hyper-partisan politics, it’s likely that such bold legislative proposals would not get enough votes to become enacted. The political factions may agree on the problem, but they are far apart on the solution. The left wants an effective remedy, while the right insists on the importance of market forces and worries about antitrust action micromanaging economic activity. That leaves a fairly narrow corridor of acceptable incremental legislative steps, such as “post-acquisition lockups.” This may be politically palatable, but insufficient to achieve real and sustained success.

The truth is that the current game based on exit strategies works only too well for everyone involved, at least in the short term. The monopolists continue to increase their rents. Entrepreneurs get rich quickly. Venture capitalists reduce risk by optimizing their investments for exiting through a sale. And government? It too earns money on every “Goliath buying David” transaction. Preventing such transactions causes annoyance for everyone involved. Any politician mounting a serious attack on Big Tech USA exposes themselves to the charge of endangering the great successes of American technology companies on global markets—a charge few politicians could fend off.

Despite renewed resolve by the Biden administration to get serious against Big Tech overreach, substantial change still seems elusive in the United States. In contrast, European antitrust authorities have been far more active. The billion-dollar fines lobbed at US Big Tech by Commissioner Vestager’s team surely sound impressive. But, as we mentioned, most of them were reduced on appeal to an amount that the superstar companies with huge cash reserves and skyrocketing profits could easily afford. The European Parliament may not suffer from hyper-partisanship and be willing to strengthen antitrust rules, but their effectiveness is limited by the very fact that almost all Big Tech is not European. At best, Europeans might prevent US Big Tech from buying up innovative European start-ups; the necessary laws for this are increasingly being enacted. But that will do little to break Big Tech’s information power.

The challenge faced by European regulators is shared by regulators around the globe, from the Asian Tigers to the Global South: how can national regulators effectively counter the information might amassed by Silicon Valley superstars? Sure, one could prohibit US Big Tech from operating. But that would deprive the local economy of valuable services. For most nations, such binary disengagement is not an option. And for nations that to an extent can and have disengaged, such as China, their homegrown Big Tech companies confront them with similar problems. The huge fines levied on Alibaba in 2021 surely are surprising for outside observers, but they, too, are targeting symptoms, not the root cause of Big Tech’s power.

Sooner or later, regulators and legislators will have to confront the real problem of reining in Big Tech: whether we look at Draconian measures like breakups or incremental ones like fines and acquisition lockups, these target the symptoms of Big Tech’s information power, but do little to undo the structural advantages the digital superstars possess. It’s little more than cutting a head off Hydra, only to see a new one grow.

To tackle the structural advantage, we have to remember Schumpeter. Schumpeter’s nightmare was that the capacity for innovation would become concentrated within a few large companies. This would lead to a downward spiral of innovation, as major players have less incentive to be disruptive and far more reason to enjoy market power. Contrary to Schumpeter’s fear, this concentration process didn’t occur after World War II, mainly because entrepreneurs had access to abundant capital and could thrive on disruptive ideas. They stood a real chance against the large incumbents of their time, a role more than a few of them took on themselves. But money is no longer the scarce resource limiting innovation. What’s scarce today is access to data. More precisely, such a scarcity is being artificially created.

In the data economy, we’re observing a concentration dynamic driven by narrowing access to the key resource for innovation and accelerated by AI. The dynamic therefore turns on access to data as a raw material. Economic policy to counteract market concentration and a weakening of competition must focus on this structural lever.

If we want to avert Schumpeter’s nightmare, preserve the competitiveness of our economy, and strengthen its capacity for innovation, we have to drastically widen access to data — for entrepreneurs and start-ups and for all players who can’t translate their ideas into innovations without data access. Today, they can only hope to enter the kill zone and be bought up by one of the digital giants. If data flows more freely through broader access, the incentive to use data and gain innovative insights from it increases. We’d turbocharge our economy’s capacity for innovation in a way not seen since the first wave of Internet companies. We would also learn more about the world, make better decisions, and distribute data dividends more broadly.

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