Technologies
AMD and Sony Tease Next-Gen Graphics, Possibly for a PS6
The YouTube video for Project Amethyst teases three new graphics technologies. It’s about more than just the next console, though.
AMD and Sony jointly teased AMD’s approach to improving its future graphics hardware performance in a video posted to YouTube this week: compression, aggregation and dedication. Compressing all the data in the graphics pipeline for lower memory overhead, aggregating the compute units that process the data for faster matrix multiplication (key to improving AI performance, including upscaling) and finally adding dedicated silicon to handle ray and path tracing acceleration, necessary to bump up visual quality.
Sony’s involvement immediately sent everyone’s heads into PlayStation 6 rumorspace: AMD’s chips power Sony’s PlayStation consoles, and that’s pretty much the only place where the two companies intersect, at least for the moment.
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AMD powers almost all consoles, from the Xbox to the Steam Deck, with the Nintendo Switch line one of the few exceptions (it’s based on Nvidia chips). It’s also in laptops and the company’s own graphics cards. If you want to game on a laptop that won’t blow your budget, better integrated graphics are always in your best interest.
The three new technologies teased in the AMD video are:
Radiance Cores: My testing over the years has shown that AMD has long lagged Nvidia with respect to ray tracing performance (which is not just for pretty reflections — it improves lighting significantly), and that’s at least partly because its processing takes place in its main compute unit cores, which are optimized for processing other types of graphics. So ray tracing bogs your frame rates down a lot. And the one-core-one-ray-trace-unit architecture limits the amount of processing you can throw at it to improve. The Radiance Cores handle the ray tracing acceleration separately, similar to the way Nvidia’s RT cores do.
Neural Array: Matrix multiplication is the key algorithm for accelerating AI processing on-device — it’s what Tensor cores handle, for example — and these days, upscaling is driven by AI-heavy, machine learning-informed algorithms, like Nvidia’s DLSS and Intel’s XeSS. Upscaling is important because it’s a major way to run at higher resolutions without taking a performance hit, and in many ways is at the center of a suite of technologies for improving image fidelity and performance. AMD’s version is FidelityFX Super Resolution, and its next-generation of the technology, FSR Redstone (likely part of RDNA 5), will need those arrays, as well as Sony’s variation of it, PSSR.
Universal Compression: The less compressed your data is, the more memory it takes to process and the slower it moves through a pipeline. Traditionally, graphics processors have stuck to compressing only the biggest memory hogs, starting with textures, in part because there was a performance cost to inserting it into the processing pipeline. But silicon is so much faster than it used to be that it likely makes sense to use it for all the graphics data, which is how Universal Compression works. Even if performance is a wash, it probably means less memory is required, an important factor for 4K and higher gaming as well as prices.
This tease is the first of probably a zillion for both new technologies in the PS6 and AMD’s RDNA 5, and I’d expect to hear a lot more about it at CES in January 2026, if not sooner. I’ve reached out to AMD for more details, but didn’t immediately hear back.
Technologies
Today’s NYT Mini Crossword Answers for Wednesday, March 11
Here are the answers for The New York Times Mini Crossword for March 11.
Looking for the most recent Mini Crossword answer? Click here for today’s Mini Crossword hints, as well as our daily answers and hints for The New York Times Wordle, Strands, Connections and Connections: Sports Edition puzzles.
Need some help with today’s Mini Crossword? I thought it was a bit tricky. 1-Down is one of those old-fashioned comic-book sounds that I had to remember how to spell correctly. Read on for all the answers. And if you could use some hints and guidance for daily solving, check out our Mini Crossword tips.
If you’re looking for today’s Wordle, Connections, Connections: Sports Edition and Strands answers, you can visit CNET’s NYT puzzle hints page.
Read more: Tips and Tricks for Solving The New York Times Mini Crossword
Let’s get to those Mini Crossword clues and answers.
Mini across clues and answers
1A clue: Study of the human mind, informally
Answer: PSYCH
6A clue: Common fixture in a gym bathroom
Answer: SCALE
7A clue: Kinda boring
Answer: HOHUM
8A clue: Like a commenter without a username, for short
Answer: ANON
9A clue: «All good between us?»
Answer: WEOK
Mini down clues and answers
1D clue: Old-fashioned «Yeah, right!»
Answer: PSHAW
2D clue: Coffeehouse pastry
Answer: SCONE
3D clue: Google alternative
Answer: YAHOO
4D clue: Sound of a dull thump
Answer: CLUNK
5D clue: Line on the bottom of a pant leg
Answer: HEM
Technologies
OnePlus and Oppo to Raise Smartphone Prices as Memory Costs Climb
Oppo says rising costs for key phone components will trigger price adjustments on some devices starting March 16.
Chinese smartphone-makers OnePlus and Oppo plan to raise prices on some existing models starting next week, according to a 9to5Google report citing GizmoChina and a notice posted on Oppo’s China online store.
In its notice, Oppo said it would adjust pricing after evaluating rising costs for several key components used in its mobile phones. The changes are expected to take effect around March 16 and will affect some of the company’s more affordable smartphones, as well as some OnePlus models.
Flagship devices — like those in the Find and Reno series — are not expected to be affected for now. The reported adjustments currently appear to be limited to China.
The move highlights growing pressure across the smartphone supply chain as component costs climb. Analysts say prices for memory and storage chips used in phones have been rising in recent months as demand surges across the tech industry.
Much of the chip demand is coming from the rapid buildout of AI data centers, which rely on large amounts of high-performance memory.
That pressure isn’t limited to Oppo and OnePlus. Analysts say smartphone brands across the industry are facing rising component costs amid increased demand for memory chips.
As manufacturers shift production toward higher-margin memory used in AI servers, supply for consumer electronics such as smartphones and laptops can tighten.
If component costs continue to rise, manufacturers may face difficult choices later this year, including raising retail prices or adjusting device specifications to offset higher manufacturing costs.
OnePlus and Oppo didn’t immediately respond to a request for comment.
Technologies
Harvard Business Review Study Finds ‘AI Brain Fry’ Is Leaving Workers Mentally Fatigued
Study participants reported increased mental fatigue while using AI tools, but less burnout overall.
Workers who excessively use AI agents and tools at work are at increased risk of mental fatigue, according to a recent Harvard Business Review study. In certain industries, more than 25% of hired professionals report increased mental strain due to their role in AI oversight — though these professionals also generally experienced less burnout than peers who aren’t using AI.
This phenomenon — which the researchers refer to as «AI brain fry» — is described as a «‘buzzing’ feeling or a mental fog» that caused study participants to develop headaches and difficulty focusing and making decisions. Individuals pointed to being overwhelmed by large amounts of information and to frequent task switching as the reasons for these feelings.
Studied individuals experienced more brain fry when they utilized AI agents to manage a workload beyond their own cognitive capacity. When participants used AI to replace mundane, repetitive tasks, managing the growing number of tools led to increased mental fatigue.
Crucially, the study found that fewer individuals who used these AI agents reported workplace burnout.
The researchers predict that this is because burnout testing assesses emotional and physical distress. In contrast, they report, acute mental fatigue «is caused by marshalling attention, working memory and executive control beyond the limited capacity of these systems.»
These are the processes that are taxed when study participants use multiple AI tools in their workflow, according to the researchers.
The Harvard study identifies several business costs incurred by workers suffering from AI brain fry. The foremost consequence is that these individuals may end up making lower-quality decisions. «Workers in [the] study who endorsed AI brain fry experience 33% more decision fatigue than those who did not,» the study reports. Workers who report AI brain fry were also more likely to self-report making both minor and major errors at their jobs.
Another recent Harvard Business Review study similarly found that employees who use AI tools «worked at a faster pace, took on a broader scope of tasks and extended work into more hours of the day,» but warned that «workload creep can in turn lead to cognitive fatigue, burnout and weakened decision-making.»
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