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Intel scraps 44-year-old 'Fellow' title for top scientists, changes 'standard of technical leadership' — technical luminaries must now deliver measurable business results, combine deep expertise with strategic vision and 'measurable tactical progress'

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Intel notified its employees last week that it would no longer title its top scientists, researchers, and developers as 'Fellows,' but will call them 'distinguished engineers,' a change that will not affect their compensation but which means a lot more than a simple formality. The new designation reflects the company's new 'standard of technical leadership' that combines deep expertise with strategic vision and 'measurable tactical progress,' reports OregonLive.

Under the new hierarchy, Fellows become Distinguished Engineers, while Senior Fellows become Senior Distinguished Engineers. Intel CTO Pushkar Ranade told employees that the move represents more than a simple renaming and establishes a new standard for technical leadership.

"The future of Intel will be determined by leaders who combine deep domain expertise with outstanding problem-solving ability, creative innovation with disciplined execution, and an expansive and strategic vision with measurable tactical progress," the Intel CTO reportedly wrote.

Interestingly, despite the fact that at least a dozen semiconductor companies — including AMD, ASML, Applied Materials, Arm, Broadcom, IBM, Nvidia, Micron, Texas Instruments, Qualcomm, and TSMC — have Fellows, Ranade told Intel employees that the new titles are more consistent with terminology used elsewhere in the technology industry. While Apple, Google, IBM, and Microsoft have Distinguished Engineers, at Google, IBM, and Microsoft, Fellows are above Distinguished Engineers.

Intel established the Fellow title in 1980 to recognize employees with a sustained record of exceptional technical accomplishments. The designation had deliberately academic roots because scientific societies and then engineering organizations have long used 'Fellow' for distinguished members, for example, the Fellow of the Royal Society (FRS) or IEEE Fellow. So, by the time semiconductor companies, such as IBM, TI, or Intel, were developing formal technical career ladders, Fellow already carried a very specific implication: an engineer recognized by their peers as one of the leading authorities in the field.

Across semiconductor companies, the Fellow rank typically carries compensation, resources, and influence equivalent to a vice president (VP) or senior vice president (SVP), so that top architects and device physicists can shape company strategy without moving into people management (yet, Fellows did not work alone for obvious reasons). It is unclear whether Distinguished Engineers will now have similar resources and influence as Intel's VPs and SVPs that report to the CEO. Furthermore, at Intel, the Fellow (or senior Fellow) title reflected Intel's position as a semiconductor research powerhouse as well as its emphasis on long-term technology development.

The most notable people to hold the Intel Fellow rank title include distinguished specialists in microprocessor architecture, process scaling, high-speed interconnects, and silicon physics, including Marcian 'Ted' Hoff (the inventor of the Intel 4004 processor), Justin Rattner (for his work on massively parallel supercomputers), Mark Bohr (for leading Intel process technology development and fundamental work on things like strained silicon, hafnium, high-K metal gate, FinFET, etc.), Yan Borodovsky (for leading development and adoption of optical lithography extensions, immersion 193nm ArF lithography, and multi-patterning, just to name a few), and Ajay Bhatt (for leading development of USB, AGP, and PCIe). Perhaps the most unexpected Intel Fellow is Boris Babayan, who is primarily known as the father of Soviet supercomputing and the creator of the Elbrus VLIW CPU architecture. He became an Intel Fellow focused on optimizing binary translation and advanced compilers in November 2004, months after joining Intel.

All in all, Fellows historically had a very specific organizational and status value at Intel, as in many cases they have been the key people to solve Intel's strategic and tactical technical challenges while not being in a formal management role. From now on, Intel wants its Distinguished Engineers to be accountable for business decisions and essentially become managers.

The biggest question about renaming Fellows to Distinguished Engineers is whether this is done in a bid to further flatten the organization (after all, Intel got rid of 250 VPs out of 450, according to Intel's CFO), or is it a deliberate move away from the old research lab model, where Fellow signified scientific stature and long-horizon research, toward engineers whose status depends on products, execution and measurable business impact. For now, we do not have any answers to this question.



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Belfong
14 hours ago
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IBM has been using Distinguished Engineers for a very long time.
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Bitrig, An AI Development Assistant from SwiftUl Team Members

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Four members of the SwiftUI team at Apple left the company, and now they’ve started a company that writes SwiftUI for you.

The product is Bitrig. You describe an app in plain English, and it generates real Swift and SwiftUI code. What comes out the other end is a project you can open in Xcode, read, and edit by hand. The pipeline runs all the way to TestFlight and the App Store, provisioning profiles and all.

It started as an iPhone-only app last October and now it’s on the Mac. I’ve only poked around the edges so far, but it seems like a good idea if you want some help with native app development.

I’m putting the Mac app on my machine this week to find out.

The post Bitrig, An AI Development Assistant from SwiftUl Team Members appeared first on MacSparky.

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Belfong
1 day ago
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A few years ago, I worked hard to learn SwiftUI. Now, I feel like it's kinda pointless when AI can do it for everyone. Did I waste my effort? I hope not. Vibe coding is a great thing to get started but there's still lots of customization and tweaking to make an app do what you want, natively.
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Bluesky Is Full of Anti-AI Zealots

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Mike Masnick, in a thread on Bluesky:

Multiple people I know have told me that they love the idea of Bluesky, and want it to succeed, but have abandoned it for X because they use agentic tools in their work and find them incredibly useful, and feel that any mention of their usage here leads to hate and ridicule.

I wouldn’t bring this up if it was just one person, but it was multiple people since the beginning of August who mentioned in passing something to the effect of either “I’d spend more time on Bluesky if people weren’t so anti-AI” or “As much as I hate to be there all the useful AI talk is on X.” [...]

I’m not telling anyone what to do or what tech to use or what to like or not like. I’m just relaying that the reputation this place now has is one that a large segment of the population who are NOT fascists, saying they don’t feel comfortable here because a main area of their interest is considered worthy of being mocked and attacked. And even as I’ve explained that I’ve been able to have positive conversations about productive AI usage here with many of you, the reputation of the community here as insisting their own lived experience can’t possibly be real has driven them away.

It’s not just “the reputation”. That really is the culture of Bluesky. I’ve obviously written more about AI this month than usual — in particular, my two long pieces regarding watermarking LLM-generated text through word-choice diddling. I don’t really write much about AI generally.

Broadly, I’m making two arguments against text watermarking. First, that the embedding of a detectable signal (even if subtle) must necessarily degrade the quality of the generated prose (even if only slightly), and that this is an unacceptable trade-off for a feature that has no benefit to the user and in fact can only be used against the user. Second, that even if I’m wrong about the first part, and a clever enough watermarking scheme can embed a detectable signature without any degradation of prose quality, this is a bad idea and should be rejected.

Reaction to my takes on text watermarking have largely been about these two arguments. Some people agree with me that what watermarking proponents are claiming is not possible — the text quality must degrade. Others agree that while it must have an effect on text quality, it in fact is so subtle that it truly does not matter and even a careful reader will not notice an overall degradation. Others disagree, tell me I don’t understand the cleverness of the systems, and are convinced that somehow this watermarking truly embeds a detectable signal in prose without any degradation of text quality whatsoever. There’s a range of disagreement, but it’s all reasonable. Likewise on the broader question of whether it’s a good idea or not to even try to do this.

The reaction on Bluesky to my recent work is like nothing else. It’s largely in the vein that watermarking can’t possibly make AI-generated text worse because it’s already random gibberish, and that the only explanation for my being opposed to this is that I must be using AI to produce my own writing and I’m upset that my scheme will soon be detectable. Read the replies to this one; they speak for themselves.

I continue to think my friend Daniel Jalkut has espoused the one true take: “My take on AI is, essentially, everybody who’s against it is too against it and everybody who’s for it is too for it.” It is way less inflammatory to espouse an AI-skeptical stance on Twitter/X than it is to simply state that AI can be truly useful on Bluesky.

Anyway, Masnick, at the end of the day yesterday:

The people bitching about me turning off replies on my thread earlier today are doing an excellent job reinforcing why I was right to turn off replies.

Link: bsky.app/profile/masnick.com/post/3mtk7cuvbok2x

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Belfong
1 day ago
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It’s interesting how a social platform will attracts certain people and then a culture is built around it.
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LLM-Based Social Engineering Scams

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OpenAI disrupted a social engineering group from Cambodia that used ChatGPT. Its scope is impressive:

The network simultaneously conducted multiple types of scams, often blending elements from different schemes. For instance, operators used dating personas to build trust before introducing fraudulent investment opportunities involving cryptocurrencies and spot gold trading. Other users engaged in lengthy romantic conversations with targets using fictitious identities, posed as representatives of online gambling platforms offering fake bonuses and winnings, or impersonated law enforcement agencies to tell targets they needed to pay fines for committing serious criminal offenses.

Although the narratives varied, users across the network consistently displayed the same underlying pattern of deceptive behavior. For example, they created and operated fake dating profiles, fictitious investment experts, and fraudulent law enforcement personas. They also generated images of forged documents, including passports, legal notices, stock-purchase confirmations, and gambling platform interfaces.

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Belfong
3 days ago
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Beware of various schemes used by scammers. If it is too good to be true, it probably is.
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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
4 days 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
4 days ago
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Does it mean Cybersecurity companies play an even important role in Enterprise security?
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