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Intel 14A defect density is dropping faster than the company expected — 'we have not seen this performance since 22nm,' says CFO

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Intel's confidence in its 14A (1.4nm-class) fabrication process is rising as defect density drops. The company's own design teams are at work developing products that will use the technology, while external customers are now asking about 14A volumes Intel can get them, according to David Zinsner, chief financial officer of Intel, who spoke at Deustche Bank's 2026 Technology Conference. The CFO went as far as saying that 14A is Intel's best process since 22nm technology from the 2010's. But while the comment is optimistic, there is a caveat.

"When you look at the defect density, 14A is tracking better than the target curve we had for 14A," Zinsner said at Deutsche Bank's 2026 Technology Conference. "It is also doing better than any of the previous nodes in terms of how quickly we are bringing down the defects. In fact, we have not seen this performance since 22nm, which is arguably one of the best nodes Intel has ever put out."

Intel intends to begin risk production of its own products on 14A fabrication process in the second half of 2027 and then initiate its high-volume manufacturing in 2028, so 14A is two years away from mass production. So, what Intel's CFO said at the conference is that at this point in 14A's development, its defect reduction trajectory looks at least as healthy as the trajectory of the company's exceptionally successful 22nm process at a comparable point in its development (i.e., in 2010). There are a couple of catches with such phrasing, though. Firstly, the defect density on 14A now is not necessarily equivalent to a defect density on 22nm two years away from mass production. Secondly, due to advances of wafer processing and inspection equipment, what Intel counts as a defect now may not be the same thing as what it counted as a defect 16 years ago. Furthermore, defect density itself does not directly equal product yield.

Intel's 22nm was the company's first manufacturing process to rely on FinFET transistors and at the time was the most advanced process technology in the world; the rest of the industry moved to FinFET devices only with their 14nm and 16nm-class nodes in 2014 and 2015. By contrast, 14A will use second-generation gate-all-around (GAA) RibbonFET transistors, second-generation backside power delivery called PowerDirect, and will be able to use High-NA EUV lithography due to extremely complex patterning. Keeping all of that in mind, Intel's claim that 14A defect density reduction is progressing unusually well this far ahead of HVM is certainly good news.

Meanwhile, comparing 14A to 22nm's successors should be quite comforting for Intel as 14nm mass production was delayed by a year due to insufficient yield, the first-generation 10nm node was a failure, 20A was cancelled, 18A defect density was high even as it hit HVM milestone, while the company did not share almost any information about the progress of its Intel 4 and Intel 3 nodes.

There are good signs for 14A though: external customers are already developing products for this node, whereas the interest from external customers is now practical rather than theoretical.

"We are now seeing demand from our internal customers on 14A [and] they are actually probably the most cynical bunch out of anybody," Zinsner said. "The fact that they are now designing products on 14A was a good confidence boost for us as well. Then, engagements with customers externally, from a foundry perspective has significantly increased. Lip-Bu and the team are now meeting on weekly basis with customers. They are moving away from just looking at data to thinking about 'how much capacity can I get?' 'what does that supply look like?' So, we are now at a point where we have conviction around customers on 14A externally as well."

Intel initiated mass production of its 22nm-based Ivy Bridge processors in late 2011 and early 2012 and released them commercially in late April 2012. The product was highly successful (though overclockers did not like it because of inefficient thermal interface material between the die and integrated heatspreader), and 22nm fabrication technology served the company for many years, first for CPUs in 2012 through 2016, then for other products. Intel's 14A also promises to be a long-lasting node for Intel.



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Belfong
2 hours ago
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Intel 14A = 14 ångström = 1.4 nm (rough comparison). So it is pretty advance. Apple newest Mac mini is manufactured on a 2 nm TSMC process.
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OpenAI, Anthropic, AWS, Microsoft, and 100+ companies warn there is "a limited window" to prepare for AI-enabled cyberattacks and call for "collective action" (Sam Sabin/Axios)

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Sam Sabin / Axios:
OpenAI, Anthropic, AWS, Microsoft, and 100+ companies warn there is “a limited window” to prepare for AI-enabled cyberattacks and call for “collective action”  —  OpenAI, Anthropic, Amazon Web Services, Microsoft and more than 100 other companies warned Thursday …

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Belfong
20 hours ago
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Does it mean Cybersecurity companies play an even important role in Enterprise security?
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Pop Goes the Weasels

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I was at PT on Tuesday and a pop music loop was playing.

These were extremely popular songs from the last few years. I recognized most of them, even though I don't listen to pop music. 

What I noticed for the first time, though, because they were back to back to back, was how incredibly algorithm-driven they were. They all used the same elements with only slight variations. They all sounded incredibly artificial. 

They didn't even sound like songs as much as an amalgamation of desirable characteristics as determined by analyzing other successful pop songs. 

Lots of pop songs are like that, really. Not driven by the artist, but by the producer or the record label, with teams of writers providing lyrics. It's always been that way, but with the rise of sophisticated computer-driven production features, it's even more so now.

Everything gets fixed. Nothing is real.

That's when it hit me: this is where AI is going big. 

Top pop songs already sound so artificial that using AI to create the entire song isn't going to sound much different from what's already topping the charts. 

I'll put a stake in the ground here: within the next 24 months, fully AI-generated pop songs are going to be heavily represented in the charts. No artist to manage, barely discernible difference in quality, exponentially lower production cost--it's a record label's dream situation.

I, for one, doubt I'll be able to tell the difference unless the songs are identified as AI-created. I doubt many other people will, either.

Here's the other possibility, and I bet this is already happening: record labels feeding all their most successful pop material (and that of the other labels) into a custom LLM that then creates songs. If they don't want to say it's AI, they then hire someone to sing the song. Technically, that's not AI. Or is it? Who knows?

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Belfong
23 hours ago
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I think it’s already happening. What I didn’t expect was that even human made pop songs of say, 10 years ago, were already systematically written based on patterns.
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Mac Pro

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Apple ended the fraught and fumbled era of the Mac Pro on March 26, 2026.


On Thursday, March 26, 2026, Apple officially brought the Mac Pro era to a close. It marks the end of a product line that was often fumbled throughout its existence and struggled to find firm footing within Apple’s ecosystem. In the end, the Mac Pro belonged to a different era, one that existed before Apple silicon reshaped the Mac lineup.

In information provided to 9to5Mac on March 26, Apple shared that “the Mac Pro is being discontinued...” and that Apple has “has no plans to offer future Mac Pro hardware.”

In late 2024, I bought a 2013 Mac Pro. It was a computer I could never have afforded or justified when it was first released, but it made for a lovely addition to my modest Mac collection.


But the writing had been on the wall for a very, very long time. At first I was optimistic when Apple announced the redesigned Mac Pro in 2019. It replaced the infamous 2013 “trash can” Mac Pro and, at the time, felt like an attempt to atone for the sins of the previous generation. This new Mac delivered massive expandability, powerful server-grade processors, and a thermal architecture built to handle the most demanding workloads. But less than a year later, Apple introduced Apple silicon, which overnight delivered the kind of performance and architectural structure that rendered that level of cooling unnecessary and expandability largely irrelevant.

Apple also released the 2019/2023 Mac Pro in a server rack mounted config.


Since then, the Mac Pro has struggled to justify its existence. It remained Apple’s most expensive Mac, yet as Apple silicon advanced, other Macs in the lineup began outcompeting the Mac Pro’s x86 Intel architecture. With the introduction of the Mac Studio in 2022, Apple demonstrated it could exceed that level of performance in a package a fraction of the size (1/14th) and weight (1/6th) of the Mac Pro.

Mac Pro in Toronto, Canada in June, 2023


There may have been a brief glimmer of hope for the Mac Pro in 2023, when Apple transitioned it to Apple silicon with the M2 Max and M2 Ultra. But the move ultimately stripped away one of its defining advantages: upgradable graphics. At the same time, its expansive cooling system became vastly over engineered for what the machine actually demanded. And when the M4 Pro Mac mini launched in late 2024, outperforming the Mac Pro by 39 percent in single-core and 6 percent in multi-core performance while costing one-fifth as much and being 1/60th the size, its fate was sealed.

By 2023, when the Mac Pro was updated to Apple silicon, its interior had become a vast, empty expanse.


So, on an otherwise unremarkable Thursday afternoon, Apple quietly scrubbed all mention of the Mac Pro from its website, bringing a confusing and somewhat melancholy chapter for the product to a close.

Although I’m not surprised at all, the loss of the Mac Pro is still bittersweet. In my view, the Mac Pro has always been home to some of Apple’s most beautiful industrial design. It was the place where Apple could flex both its design ambition and raw power without restraint. But the form-over-function misstep of the 2013 trash can Mac Pro, followed by a poorly timed transition to Apple Silicon, ultimately crippled the Mac Pro’s appeal in what was already an exceptionally niche market. Like I wrote back in 2022:

“In the past decade, Apple has been guilty of both not doing enough to replace an aging computer and, second, of outclassing its top-of-the-line hardware at a fraction of the cost only a few years after the 3rd generation Mac Pro was announced. From one extreme to the other, it's been hard to trust what was going on with the Mac Pro.”

Apple selling a set of optional Mac Pro wheels for $699 will never stop being funny.


It’s history is flawed, but I look back fondly at the machine and sometimes I like to kid myself into thinking I was ever someone who truly needed something like a Mac Pro. And I never missed a chance, when visiting a larger city (my tiny mall Apple Store never carrier the Mac Pro), to admire and tinker with the one on display. Even at its most impractical, there was always something undeniably special about it.







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Belfong
1 day ago
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Mac Pro is such a peak in design. I love all its iterations but I could not afford any. All I could do is admire them in person in Apple Store. I wish they had not discontinued it.
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Good Reads and a redesigned Global Shared Stories

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I’m announcing two new global feeds: a redesigned Global Shared Stories and a new feed called Good Reads.

Redesigned Global Shared Stories

Global Shared Stories has been in the sidebar for years, and for years it worked in a way I never liked. It was not the shares of everybody on NewsBlur. It was the shares of the accounts that the @popular account happened to follow, a list I put together by hand a long time ago and rarely touched. If you were on that list and you shared a lot, you decided what everybody else saw. If you shared one story a month and wrote a paragraph about why it mattered, you were drowned out by someone who shared thirty without a word.

So I rebuilt it. Every hour, NewsBlur now gathers every story shared across the whole site in the last few hours, caps each person at three so nobody can flood the pool, drops private blurblogs, and then picks a few worth reading. The picks accumulate, so the river stays deep enough to scroll back through.

The picking is done by Claude Haiku, once an hour, and it is worth being precise about what it does and does not do. It does not go looking for stories. It does not write anything. It only ranks stories that NewsBlur readers already chose to share, and the thing it weighs most heavily is the comment the sharer wrote, because a share with a few sentences attached is a share somebody thought about. It is allowed to pick nothing at all in a quiet hour, and in testing it regularly passes on half of what it is offered. If the API is ever unreachable, a plain heuristic takes over and the river keeps flowing.

Good Reads

The new feed in the sidebar is Good Reads, and it asks a question the other feeds do not: which stories did somebody finish and then do something about?

A story lands in Good Reads when at least two people read it closely, thirty seconds or more, and at least one of them then saved it, shared it, or trained it up. Finishing is not enough. Somebody has to have bothered to act. On top of that, the score is tilted toward feeds with few subscribers, so a story from a site with forty readers can beat a story from a site with forty thousand. That tilt is the whole point. The big sites do not need help getting seen.

Four feeds, four questions

There are now four curated rivers sitting together in the sidebar, and the reason there are four and not one is that they each answer a different question.

Global Shared Stories asks what people chose to hand to someone else. It runs on sharing, a deliberate human act.

Widely Read Stories asks what held the most attention across NewsBlur. It runs on reading time, not clicks, so a headline nobody read cannot buy its way in.

Long Reads asks what was worth an afternoon. Features and essays that readers gave real time to, rather than skimmed.

Good Reads asks what somebody finished and then kept, and leans toward the small sites you have probably never heard of.

Widely Read Stories and Long Reads have been around since April, and I wrote about how they work when they launched. None of the four ranks by clicks, and none of them is trying to keep you scrolling. They are all built out of what NewsBlur readers actually did with their time.

Because it was never obvious from looking at them which was which, each of the four now explains itself in a line at the top of its story list. It scrolls away with the stories, so it is there when you arrive and gone once you are reading.

Your classifiers still apply to all four. If you have trained a tag, an author, or a site, those green and red scores carry through, including on stories from feeds you do not subscribe to. And all four work as dashboard rivers, so you can park any of them next to your regular feeds.

Good Reads and the rebuilt Global Shared Stories are available now on the web. If a story shows up in one of these feeds that clearly should not have, I want to hear about it on the NewsBlur forum.

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Belfong
1 day ago
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Sometimes, I take NewsBlur for granted. It just works and very dependable that I forget that it took a lot of effort to be that way. And now I am reading there are more ways for me to discover stories that are worth my time.Too good! Thanks NewsBlur!
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1 public comment
jgbishop
45 days ago
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NewsBlur keeps getting better!
Raleigh, NC

Ahhh, relax with the sights and sounds of the Windows 98...

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Ahhh, relax with the sights and sounds of the Windows 98 Disk Defrag Simulator.

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Belfong
2 days ago
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Fun!
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