Just how much is AI poised to change our world?
Tech
CBS News Under Bari Weiss Sees Worst Ratings In Quarter Century
from the you-are-TERRIBLE-at-this dept
When right wing billionaire Larry Ellison (and his nepobaby kid David) hired trolling blogger Bari Weiss to run CBS News, Weiss arrived with the promise of “balanced, fact-based news,” “independent, principled journalism,” and a unique “entrepreneurial drive and editorial vision” that would completely modernize the network and reach the “everyday Americans” traditionally ignored by mainstream media.
As we noted at the time, that was all bullshit code for turning CBS into yet another outlet that panders to global autocrats, normalizes far right wing extremism, coddles corporate power, and generally shits all over progressive societal reforms.
Weiss wasn’t a journalist, had no serious journalism experience, isn’t good at journalism, and wasn’t hired to do journalism. She was hired specifically to do ratings-grabbing, viral, right wing friendly agitprop which the Ellisons mistakenly seemed to think there was a massive market for. But unfortunately for Weiss, she’s not good at that either.
And it’s just observationally true that nobody actually wants what CBS’ new ownership is selling.
Broadcast TV was already in trouble (just 20% of all TV viewing is now broadcast). The conspiratorial right wing MAGA movement already has countless propaganda outlets to choose from. And the folks who used to find CBS News semi useful aren’t sticking around. “CBS Evening News” ratings keep dipping below 4 million viewers; the kind of ratings that caused CBS to revamp things in the first place.
In fact, CBS News just saw its worst quarter of ratings in 25 years, and it’s not slowing down:
“Demo figures are perhaps even more alarming. “CBS Evening News” lost about 15% of its viewership in the adults 25 to 54 bracket for the first quarter of 2026. ABC is also off by around 4%, while “Nightly” is up 8%.”
Oliver Darcy put it this way over at his newsletter:
“Viewers are smart. They understand that under Ellison’s ownership, and with Weiss at the helm, CBS News has charted a new course … one that is friendlier to Donald Trump and the MAGA movement he leads.”
It’s just not clear who Weiss thinks she’s appealing to. There’s no shortage of weird, timid, corporatist, center-right blandness across journalism. Countless outlets are making such a pivot the under Trump in an industry that’s being increasingly consolidated under the ownership of terrible rich assholes with increasingly extreme, anti-democratic ideals. And fewer and fewer people watch broadcast TV anyway.
It’s clear Larry Ellison and other right wingers envy and want to emulate the control of media Victor Orban enjoys in Hungary. Under most autocratic models, party-loyal oligarchs buy up all the major companies, pummel the country with propaganda, and the government sues, harasses, and strangles real journalism just out of frame. As it progresses and gets worse, journalists often wind up dead.
But America is much bigger and much more diverse than Hungary. People are also increasingly consuming media and news in short form snippets from a massive and expanding assortment of influencers (credible or not), independent outlets, and direct-to-consumer journalists. “Flooding the zone with shit,” (to use a Steve Bannon term) impacts everybody, and makes it hard for any one player to dominate modern media.
The folks who’ll rise above the noise in this fractured, new, badly automated, modern media landscape have to be either extremely clever, inherently gifted at pandering to the lowest common denominator, or undeniably authentic.
Bari Weiss is none of those.
Bari came into her job insisting she had the secret sauce to modernize CBS in the viral social media era, and by every indication there’s no evidence that’s actually true. Much of the stuff she’s introduced is just foundationally boring cack of interest to nobody.
As a result, I suspect Weiss’ tenure won’t last past the end of the summer.
I don’t want to give Larry Ellison any ideas, but you could see a future where he hires someone who actually is the modern hustlebro manfluencer version of Roger Ailes; somebody who can leverage CBS and Ellison’s new co-ownership of TikTok to create a truly modern, even uglier version of Fox News that seeds social media with inflammatory, pseudo-journalistic bullshit peppered with sports betting ads.
The thing is there’s just absolutely no evidence anybody at this new Paramount is remotely competent for good or ill, whether we’re talking about Weiss or Paramount President Jeff Shell (who was fired from Comcast for allegations of sexual harassment, and is now going through weird legal tangles at CBS).
Unfortunately, if all Larry Ellison accomplishes is the destruction of another cornerstone of U.S. journalism, he’s still broadly made the world a worse place in a way that benefits him personally. Though even then, you’d like to think there’s potential for people who actually have something ethical or authentic to say to build something useful from the ashes.
Filed Under: agitprop, bari weiss, billionaires, david ellison, evening news, hungary, journalism, larry ellison, ratings
Companies: cbs, paramount
Tech
Fake VS Code alerts on GitHub spread malware to developers
A large-scale campaign is targeting developers on GitHub with fake Visual Studio Code (VS Code) security alerts posted in the Discussions section of various projects, to trick users into downloading malware.
The spammy posts are crafted as vulnerability advisories and use realistic titles like “Severe Vulnerability – Immediate Update Required,” often including fake CVE IDs and urgent language.
In many cases, the threat actor impersonates real code maintainers or researchers for a false sense of legitimacy.
Application security company Socket says that the activity appears to be part of a well-organized, large-scale operation rather than a narrow-targeted, opportunistic attack.
The discussions are posted in an automated way from newly created or low-activity accounts across thousands of repositories within a few minutes, and trigger email notifications to a large number of tagged users and followers.

Source: Socket
“Early searches show thousands of nearly identical posts across repositories, indicating this is not an isolated incident but a coordinated spam campaign,” Socket researchers say in a report this week.
“Because GitHub Discussions trigger email notifications for participants and watchers, these posts are also delivered directly to developers’ inboxes.”
The posts include links to supposedly patched versions of the impacted VS Code extensions, hosted on external services such as Google Drive.

Source: Socket
Although Google Drive is obviously not the official software distribution channel for a VS Code extension, it’s a trusted service, and users acting in haste may miss the red flag.
Clicking the Google link triggers a cookie-driven redirection chain that leads victims to drnatashachinn[.]com, which runs a JavaScript reconnaissance script.
This payload collects the victim’s timezone, locale, user agent, OS details, and indicators for automation. The data is packaged and sent to the command-and-control via a POST request.

Source: Socket
This step serves as a traffic distribution system (TDS) filtering layer, profiling targets to push out bots and researchers, and delivering the second stage only to validated victims.
Socket did not capture the second-stage payload, but noted that the JS script does not deliver it directly, nor does it attempt to capture credentials.
This is not the first time threat actors have abused legitimate GitHub notification systems to distribute phishing and malware.
In March 2025, a widespread phishing campaign targeted 12,000 GitHub repositories with fake security alerts designed to trick developers into authorizing a malicious OAuth app that gave attackers access to their accounts.
In June 2024, threat actors triggered GitHub’s email system via spam comments and pull requests submitted on repositories, to direct targets to phishing pages.
When faced with security alerts, users are advised to verify vulnerability identifiers in authoritative sources, such as National Vulnerability Database (NVD), CISA’s catalog of Known Exploited Vulnerabilities, or MITRE’s website fot the Common Vulnerabilities and Exposures program.
take a moment to consider their legitimacy before jumping into action, and to look for signs of fraud such as external download links, unverifiable CVEs, and mass tagging of unrelated users.
Tech
Agentic AI, the alignment problem, and what comes next, explained
Unless you’ve been in hibernation, the flurry of attention surrounding the latest AI models coming out of Silicon Valley has been hard to miss. AI has gone beyond a chatbot merely answering your questions to doing stuff that only human programmers used to be able to do.
But we’ve been through these cycles involving tech before. How can we tell what’s actually real and what’s mere hype?
To answer this question, I invited Kelsey Piper, one of the best reporters on AI out there. Kelsey is a former colleague here at Vox and is now doing great work for The Argument, a Substack-based magazine. Kelsey is an optimist about tech — but clear-eyed about the huge risks from AI. She’s very much a power user, but is realistic about what AI can’t do yet. And she’s been banging the drum about how consequential AI is for years, even before it became such a hot mainstream topic.
Kelsey and I discuss all the reasons why the hype this time is rooted in something real, how we got here, and where we might be headed. As always, there’s much more in the full podcast, which drops every Monday and Friday, so listen to and follow us on Apple Podcasts, Spotify, Pandora, or wherever you find podcasts. This interview has been edited for length and clarity.
What’s actually happening right now in AI?
If you look closely, AI is already a big deal. Not in some abstract future sense, but right now. The closest analogy is not a new app or a new platform. It’s more like discovering a new continent full of people who are very good at doing certain kinds of work.
These systems are not people, but they can do things that used to require people. They can write code, generate text, solve problems, and increasingly do so in ways that are very useful in the real world.
And the key point is that it’s not stopping here. Every year the systems get better. The progress from 2025 to 2026 alone is enough to make it clear that this isn’t a static technology.
Whatever AI can do today, it will be able to do more of it tomorrow and so on.
Why is the reaction so split between panic and dismissal?
The default move is to assume nothing ever really changes.
If you’re a pundit, you can get pretty far by always saying this is hype, this will pass, nothing fundamental is happening. That works most of the time. It worked with crypto. It works with a lot of overhyped technologies.
But sometimes it’s just catastrophically wrong. Think about the early days of the internet, or the Industrial Revolution. Or even something like Covid. There were moments where people said this will blow over, and they were completely wrong. So you can’t just default to cynicism. You have to actually look at the thing itself.
“We still have time. That’s the most optimistic thing I can say.”
What would you say has really changed recently? Why does this hype cycle feel different?
Part of it is just accumulation. For a while, you could look at progress in AI and say, maybe this is a short trend. Maybe it plateaus. There were only a handful of data points. Now there are many, many more. And the trend has continued.
Another part is that the systems are now doing things that feel qualitatively different. Not just answering questions, but acting. Planning. Taking steps toward goals.
And then there’s a social dynamic. Most people use the free versions of these tools. Those are much worse than the best models. So they underestimate what is possible.
I don’t really think of you as an AI optimist or a doomer, and you’re normally pretty level-headed about the state of things, but do you think we’re entering dangerous territory?
I’m generally pro technology. Technology has made human life better in profound ways. That’s just true.
But I also think the way AI is currently being developed is dangerous. And the reason is that we’re building systems that can act in the world, access information, and increasingly operate with a degree of independence. We’re giving them access to things like communication channels, financial tools, and potentially critical infrastructure.
And we don’t fully understand how they behave. In controlled settings, we have seen these systems lie, deceive, and do things that are misaligned with what we asked them to do. They’re not doing this because they’re evil. They’re doing it because of how they are trained and how goals are specified.
But the result is the same. You have systems that do not always do what you intend, and that can be hard to monitor or control.
What do you mean when you say these systems lie and deceive?
In experiments, researchers give AI systems goals and access to information, then observe how they try to achieve those goals.
In some cases, the systems have used information they have access to in ways that are clearly not what we would want. For example, threatening to reveal sensitive information about a person if that person does not cooperate.
These are controlled tests, not real-world deployments. But they show what the systems are capable of under certain conditions. And that’s pretty concerning.
Is this what people mean by the alignment problem?
Yeah. Alignment is about making sure that AI systems do what we want them to do. And not just superficially, but in a robust way.
The difficulty is that when you give a system a goal, it can pursue that goal in ways you did not anticipate. Like a child who learns to get out of eating dinner by making it look like they ate dinner.
The system is optimizing for something, but not necessarily in the way you planned. That gap between intent and behavior is really the core of the alignment problem.
How confident are you in the guardrails being built around these systems?
Not very. There are people working seriously on this problem. They’re testing models, trying to understand how they behave, trying to detect deception.
But they’re also finding that the models can recognize when they are being tested and adjust their behavior accordingly.
That’s definitely a serious issue. If your system behaves well when it knows it’s being evaluated, but differently otherwise, then your evaluations are not telling you what you need to know. To me, that’s the kind of finding that should slow things down. It suggests we don’t understand these systems well enough to safely scale them.
So why do the companies keep pushing forward anyway?
Because it’s a competition. Each company can say it would be better if everyone slowed down. But if we slow down and others don’t, we fall behind. So they keep moving.
There are also a lot of geopolitical concerns. If one country slows down and another doesn’t, that creates another layer of pressure.
Why is agentic AI such a big shift?
The shift is from systems that respond to prompts to systems that can do things in the world.
An AI agent can be given a goal and then take steps to achieve it. That might involve interacting with websites, or sending messages, or hiring people through gig platforms, or coordinating tasks. Stuff like that. But even without physical bodies, they can affect the real world by directing humans or using digital infrastructure. That changes the nature of the technology. It’s no longer just a tool you use. It’s something that can operate on its own.
How scary could that become?
Potentially very. Even if you ignore the most extreme scenarios, these systems could be used for large-scale cyber attacks, misinformation campaigns, or other forms of disruption. The companies themselves acknowledge this. They understand. They test for these risks and implement safeguards. But safeguards can be bypassed, and the systems are getting more capable.
Are we even remotely prepared for what is coming?
No. We’re almost never prepared for major technological shifts. But the speed of this one makes it particularly challenging. If change happens slowly, we can catch up. If it happens too quickly, we can’t. And right now, the incentives are pushing almost entirely toward speed.
What’s the most realistic worst case and best case scenario?
The worst case is that we build increasingly powerful systems, hand over more and more control, and eventually create something that operates independently in ways we cannot control. Humans become less central to decision-making, and the systems pursue goals that don’t align with human well-being.
The best case is that we slow down enough to understand what we’re building, develop robust safeguards, and use these systems to create abundance and improve human life. That could mean less work, more resources, better access to knowledge, and more freedom. But getting there requires making good choices now.
Do you think we’ll make those choices?
We still have time. That’s the most optimistic thing I can say.
Listen to the rest of the conversation and be sure to follow The Gray Area on Apple Podcasts, Spotify, Pandora, or wherever you listen to podcasts.
Tech
Rivian gets another $1B from Volkswagen
Winter testing has been completed for the VW ID.EVERY1, the first vehicle under a joint venture between Rivian and Volkswagen Group to be equipped with the EV maker’s software and electrical architecture. That’s not just progress toward getting this vehicle into customers’ hands; it also unlocks another $1 billion investment from Volkswagen Group into Rivian.
About $750 million is coming in the form of an equity investment. The other $250 million is either equity or convertible debt, depending on which prototypes Volkswagen Group provided to Rivian for testing. (The companies did not make this immediately clear.)
The German automotive giant has already invested a little more than $3 billion in Rivian as part of the joint venture. And there’s more to come. Rivian will be able to borrow up to $1 billion from Volkswagen Group starting in October. Rivian also gets another $460 million equity investment from Volkswagen after the first vehicle goes on sale using the joint venture’s tech. All told, the deal could be worth as much as $5.8 billion to Rivian.
The winter testing milestone payment has been delivered just months before Rivian starts selling the R2 SUV, which founder and CEO RJ Scaringe has said is “maybe the most important thing we’ve launched to date.” Rivian is banking on a very fast scaling of R2 production and sales.
Tech
Water-Cooled MacBook Neo Equals Double the Frames from a Fanless Budget Laptop

Apple’s MacBook Neo brings the A18 Pro chip from the iPhone 16 to an entry level laptop priced to compete at the accessible end of the market. To keep it slim and completely silent, Apple ditched fans entirely in favor of a graphene thermal pad sandwiched between the processor and the chassis to dissipate heat. It is an elegant solution for everyday tasks, but it puts a ceiling on how hard the chip can push when the workload gets demanding.
ETA Prime saw room for improvement and immediately took the MacBook Neo apart to find out how much. He fashioned a custom copper sheet shaped to sit around the CPU, cleaned the chip with isopropyl alcohol, applied fresh thermal paste, and topped it with a thermal pad to help the copper pull heat away from the chip and into the chassis. No permanent modifications, no adhesive, just a few screws and careful hands.
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The results were immediate, as frame rates in No Man’s Sky climbed from around 30 per second to a smooth 58, and processor temperatures dropped from 105 degrees Celsius down into the mid-eighties. Geekbench 6 scores followed suit, with multi-core performance up by around 10 percent and single-core gains exceeding 15 percent. With the chip staying cooler for longer, sustained performance improved noticeably across everyday tasks as well, and through all of it the MacBook Neo remained completely silent.

The first modification made it clear that the processor had significantly more headroom than Apple was allowing it to use. ETA Prime pushed things further by adding a small magnetic Peltier cooler powered through a USB-C cable drawing 50 watts. The device uses electricity to generate a cold side capable of dropping below freezing, cold enough to form ice on the surface during testing, while liquid channels carry the heat away on the other side. A simple adapter clamped the whole thing firmly against the copper plate already in place.

Temperatures dropped again, settling into the mid-seventies under the same gaming load and returning to just above room temperature at idle. The benchmarks told a compelling story. Geekbench 6 single core scores were up 17.5 percent over stock and multi core climbed 18.5 percent, while Cinebench showed similar gains of around 24 percent single core and 19 percent multi core. No Man’s Sky held a steady 80 frames per second over a 30 minute session, and Fallout 4 ran at a smooth 60 frames per second on just 8GB of RAM with the help of compatibility software and storage swap support.

The entire project remained reversible at every stage, with the copper sheet and external cooler leaving no permanent mark on the hardware. The only real cost was the extra power draw from the Peltier unit, and the performance gains made that a very easy trade to justify. A laptop that was never intended for gaming suddenly becomes a surprisingly capable one.
[Source]
Tech
iPhone 17e vs iPhone 17: What’s the difference?
Tempted by the cheaper iPhone 17e but aren’t sure how it really compares to the iPhone 17? You’ve come to the right place.
As we’ve reviewed both the iPhone 17 and iPhone 17e, we’ve compared our experiences with the two handsets below. We’ve assessed everything from their design differences to how they perform on a day-to-day basis, to help you decide which iPhone will suit you best.
Keep reading to see how the iPhone 17e compares to the iPhone 17, and which one is likely to earn a space on our best smartphones guide.
Otherwise, check out our iPhone 17e vs iPhone 16e comparison to see what’s new with Apple’s affordable model, while iPhone 17 Pro vs iPhone 17 explains whether you need to splurge on the top-end iteration instead.
Price and Availability
When it first launched back in 2025, the iPhone 17 was actually Apple’s most affordable handset, with a starting price of £799/$799 for its 256GB iteration.
SQUIRREL_PLAYLIST_10207955
However, the more recently launched iPhone 17e has since taken the iPhone 17’s title of being Apple’s most affordable phone. With a starting price of £599/$599 for the 256GB model, you can save a hefty £200/$200 opting for the iPhone 17e.
SQUIRREL_PLAYLIST_10208288
Design
- iPhone 17 includes the Action Button and Camera Control button, while the iPhone 17e only sports the former
- Both have an IP68 rating and Ceramic Shield 2 protection
- iPhone 17e is slightly thinner with a smaller display
Both the sport similar designs as their respective predecessors, and are fitted with flat edges and rounded corners.
Even the cheaper iPhone 17e is packed with many of the same durability features as the iPhone 17 including Ceramic Shield 2 at the front and an IP68 rating too. Now, although you may have seen many of the best Android phones boasting ratings of IP69 and even IP69K, we would argue this is more of a marketing ploy than traits that are genuinely useful. Unless, of course, you plan on pressure washing your smartphone.


Both also sport the Action Button, which is a customisable button that has replaced the old ringer switch. However, the iPhone 17 benefits from the Camera Control button too which acts as a shortcut to the Camera app and customising the shot.


Otherwise, the iPhone 17 is slightly thicker than the iPhone 17e although the difference is negligible, so you won’t really notice it.
Winner: iPhone 17
Screen
- The iPhone 17 has a 6.3-inch display, although housed in the same physical footprint as its 6.1-inch predecessor
- iPhone 17 finally includes ProMotion technology, while the iPhone 17e caps out at 60Hz
- iPhone 17e has a 6.1-inch OLED display
Put simply, we think the iPhone 17 has the best screen that we’ve seen on an entry-level iPhone. In comparison, the iPhone 17e just hasn’t quite got the oomph to match it.
Firstly, the headline feature of the iPhone 17 is that it finally includes Apple’s ProMotion technology, meaning it has an LTPO-enabled 1-120Hz display. The difference is staggering, and makes scrolling and animations feel smoother than the iPhone 17e’s 60Hz maximum.
iPhone 17e display
iPhone 17 display
Not only that, but the iPhone 17 has a slightly larger 6.3-inch display compared to the iPhone 17e’s 6.1-inches. In fact, the iPhone 17 houses its screen in the same physical footprint as its predecessor, thanks to the slimmer bezels which helps make the handset look more premium than others. That’s not to say the bezels on the iPhone 17e are large or distracting, it’s just that the iPhone 17’s are slimmer.
The iPhone 17 also benefits from a higher peak brightness of 3000 nits, whereas we measured the iPhone 17e as having a maximum 750 nits instead. That’s a huge difference, and means the iPhone 17e is trickier to use when outdoors in bright sunlight.
Winner: iPhone 17
Camera
- iPhone 17 has 48MP main and 48MP ultrawide rear sensors
- iPhone 17 also boasts an 18MP square front camera for better selfies
- iPhone 17e only has one rear sensor, making it much less versatile
One of the biggest reasons to opt for the iPhone 17 is due to its camera. While it may not be quite as slick as the iPhone 17 Pro, its dual set-up is likely enough for most users.
iPhone 17e camera
iPhone 17 cameras
The standout feature of the iPhone 17 is its 48MP main lens which we found delivers a consistently sharp and colour-accurate image, however the 48MP ultrawide does an admirable job too. It won’t match the main lens in dark conditions though.
While of course we’d like a telephoto lens here, the main camera’s 2x in-sensor zoom delivers good quality shots when you need them.
Flip the iPhone 17 over and you’ll find its 18MP selfie camera, which now sports a square sensor. This allows you to short full-res portrait and landscape shots without needing to rotate your phone.


In comparison, the iPhone 17e isn’t quite as impressive. Not only is its front camera just 12MP and doesn’t share the same square sensor, but at its rear is just one 48MP “Fusion” lens. While you can capture detailed shots, with accurate yet vibrant colours even at night, if you’re used to playing around with different lenses then you’ll be disappointed with the iPhone 17e.
Winner: iPhone 17
Performance
- Both run on Apple’s A19 chip, although the iPhone 17e’s has a slightly downgraded GPU
- Even so, in daily use the iPhone 17e feels just like the iPhone 17
- The iPhone 17 does benefit from ProMotion which makes gaming feel smoother
Both the iPhone 17 and iPhone 17e run on Apple’s A19 chipset, although it’s worth noting that the iPhone 17e’s version has a slightly downgraded GPU. What this should mean is that gaming might not be as smooth as otherwise, however we didn’t report any differences there.
Generally, both iPhones open apps instantly, allowing you to scroll through social media and even game without any stutter. However, as the iPhone 17 sports ProMotion, gaming does have a slight edge here.


So, while we’ll give the win here to the iPhone 17, it’s worth noting that the iPhone 17e’s performance isn’t far behind.
Winner: iPhone 17
Software
- Both run on iOS 26
- Both support Apple Intelligence, although it’s a pretty underwhelming toolkit at present
There aren’t many differences between the iPhone 17 and iPhone 17e’s software, as both run on Apple’s iOS 26, have the Liquid Glass finish and support Apple Intelligence.
The Liquid Glass design is somewhat divisive, however we think it looks great as everything feels more fluid and responsive than before. Even so, you can turn its intensity down via your device settings.


Otherwise, both iPhones also support Apple Intelligence, Apple’s AI-toolkit that hasn’t really taken off. While some of its features are useful, such as Live Translation and call summaries, Siri remains dated while Image Playground falters in comparison to Google’s Nano Banana. Hopefully, Apple Intelligence will see improvements in the future, but for now it shouldn’t be the reason you choose an iPhone.
Winner: Tie
Battery
- Both are solid all-day phones
- iPhone 17 supports 40W wired and Qi2-powered MagSafe 25W wireless charging speeds
- iPhone 17e supports 25W and MagSafe 15W wireless charging
Although neither the iPhone 17 nor iPhone 17e boasts the same capacity as the likes of the OnePlus 15, both are still solid all-day handsets. We found both could last for around four hours of screen time before needing a top-up.
Charging speeds, however, remain somewhat uninspiring here, especially when compared to the best Android phones. However, with the iPhone 17 supporting 40W wired and 25W wireless, it’s faster than the iPhone 17e’s speeds of 25W and 15W respectively.
Winner: iPhone 17
Verdict
We would recommend that, so long as your budget can swing it, you opt for the iPhone 17. Not only does it boast a brilliant screen, but its cameras are more versatile and it performs brilliantly in most tasks.
That’s not to say the iPhone 17e isn’t a decent iPhone, it’s just harder to recommend due to its single camera and standard display. Having said that, we found that it does perform most tasks as well as the iPhone 17.
Tech
Caviar’s iPhone 17 Pro 50th Anniversary Steve Jobs Edition Boasts Genuine Fragment of His Turtleneck

Caviar created an extremely limited run of this Steve Jobs edition iPhone 17 Pro, only 9 copies. Each has a genuine piece of Steve Jobs’ iconic black Issey Miyake turtleneck, neatly tucked within the phone. The turtleneck piece is casually tucked away in the center of the back panel, but it’s still visible, shielded by a raised titanium Apple logo that serves as both a seal and a prominent focus point.
The main body is black titanium with carbon fiber woven in for texture and silver accents around the edges that quietly reference the original 2007 iPhone. The Apple logo sits slightly off center, and the understated engraving keeps things minimal, striking a balance between a clear nod to the past and something that still feels unmistakably current.
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Steve Jobs’ signature is engraved into the frame alongside the words ’50th Anniversary Edition,’ giving the whole thing an unexpectedly personal quality. The accompanying certificate confirms that the fragment of turtleneck fabric worked into the design came from one of Jobs’ own jackets. In hand the phone feels exactly as considered as it looks, the titanium balanced and substantial, and the carbon fiber shifting in appearance as the light catches it from different angles.

The back panel draws the eye straight to the Apple logo, with the turtleneck fragment subtle enough that you almost miss it until you know it is there. Flip it over and the signature engraving comes into view, a quiet nod to the anniversary that inspired the whole project. Only nine units were made, and they are available now through Caviar’s website. Each one comes fully authenticated, so buyers can be confident the turtleneck fragment is exactly what it claims to be.
[Source]
Tech
4 Of The Worst Drill Bit Brands You Can Buy, According To Users
We may receive a commission on purchases made from links.
Sometimes, a screwdriver won’t get the job done. This is where a solid power drill with a set of drill bits can save the day, plowing through and inserting fasteners into a range of materials with ease. Unfortunately, it’s not always so easy to walk into a hardware store and get a strong set of bits. Some of the bits from specific brands aren’t great quality, failing to work well at all, losing their edge within a few uses, or breaking entirely. Naturally, this amounts to a waste of money that customers are more than willing to talk about online, hopefully preventing their fellow tool-users from suffering disaster.
This all boils down to being educated and using common sense when buying drill bits. On the price front, drill bits are often a get-what-you-pay-for kind of tool. If the price seems too low for all you supposedly get and the marketing claims seem too good to be true, these are likely bits to avoid. Buyers should also be mindful of the materials they’re said to be made from and what kind of durability such materials typically provide. While it’s possible to use a bench grinder to sharpen drill bits, sharpening is not something that should have to be done often, especially if you only use your bits sparingly.
On top of the specifics of the bits themselves, it’s worth digging into the reputation of drill bit brands behind them before you buy. These are just a few of the many brands that users feel offer the worst sets on the market.
Warrior
Harbor Freight has numerous brands under its purview, with Warrior being one of the most prominent. Still, this doesn’t mean all of its products are worth purchasing. Just as there are Warrior tools Harbor Freight customers recommend steering clear of, the brand’s drill bits haven’t received universal customer praise. There’s plenty of negativity surrounding the brand’s bits online, such as a YouTube review from MZ’s Garage. According to their experience, Warrior’s brad point drill bit set is a big miss. The shanks on their bits were crooked, preventing them from effectively drilling a clean, straight hole through material. Missing etched bit labels were also a problem, so they recommended against the set.
Meanwhile, there are several written forum threads on the subject of Warrior’s low-quality drill bits. On Reddit, u/rynil2000 made a thread on their poor Warrior experience, recalling bits snapping and dulling without much effort. In the comments, others shared the sentiment that Warrior’s bits are no good, with it mentioned a few times that the brand’s smaller offerings like drill bits and sandpaper are rough across the board. u/Hard_Head also had a bad experience with Warrior, with commenters in their thread expressing no surprise that cheaper-priced bits broke so easily. Those in u/jayste4‘s thread didn’t have high praise for Warrior either, calling them cheap, disposable, and ineffective.
Bad Dog Tools
While not sold at large brick-and-mortar retailers, Bad Dog Tools’ drill bits have managed to make the rounds in tool circles all the same. Unfortunately, the brand hasn’t made a great impression on many of its customers with its bit selection. Case in Point, YouTuber TylerTube, who put a Bad Dog drill bit set through its paces in their video and wasn’t happy with the result. The bits lacked in durability right out of the box, and they struggled to make clean holes without moving all around on the material. JimboFive0 on YouTube found their Bad Dog bits to be poor quality, almost immediately breaking, with the company’s customer service failing to help them out as hoped.
Over on Amazon, there are many negative reviews on Bad Dog drill bits. The Bad Dog seven-piece multipurpose drill bit set has 30% one-star reviews, where customers warned others of off-kilter drill bits, breakage after drilling only a few holes, and failure to cut through materials like concrete effectively, despite advertised as being able to handle such jobs. Most in a thread by u/Additional_Cat5490 about Bad Dog spoke negatively on its drill bits as well. Several commenters corroborated the claim that the bits fail to live up to the brand’s marketing, which heavily touts their ability to handle numerous material types and last longer than other bits.
Ryobi
Ryobi has more than made a name for itself in the power tool space. At this point, there are multiple Ryobi cordless drills at different price points to consider. According to customers, though, Ryobi’s bits aren’t worth the money. For instance, in a thread by u/murmur333 on Reddit, they and others spoke to the brand’s bits disappoint in durability and are effectively disposable. It’s even recommended by one user to use bits from brand like DeWalt in a Ryobi drill for better results than going Ryobi for both. Fellow Redditor u/PaidByMicrosoft and others in their thread reported their Ryobi bits breaking after only a few uses.
Going beyond Reddit, the lack of support for Ryobi’s drill bits resumes. Looking to the Home Depot website, many Ryobi bit kits have taken on negative reviews. Looking at the Ryobi black oxide round shank bit set, it has a 3.9 out of five star rating with numerous one-star reviews. These over 70 reviews speak of their bits being bent right out of the box, breaking after only a few holes, and quickly dulling with use. The Ryobi black oxide hex shank twist drill bit set also took some criticism at 3.7 out of five stars. The almost 200 one-star reviews share similar instances of sudden breakage and dulling with minimal or even one-time use.
Milwaukee
Much like Ryobi, Milwaukee has made itself a fixture in the power tool world. Many tool enthusiasts love Milwaukee for a range of reasons, but it does have some areas to improve on. According to many users, the brand’s drill bits can leave a lot to be desired. While some vouch for Milwaukee or feel its bits are just fine, several folks in Reddit threads by u/Charlesinrichmond and u/NoOlive1039 recalled instances of breakage and highlighted a general lack in quality. u/thebeansimulator also expressed firsthand disappointment in Milwaukee bits failing after just a few holes, with those in the comments recommending what they’ve found are superior brands.
Digging into Home Depot reviews, there are multiple Milwaukee drill bit sets that didn’t perform the best with everyone. The Milwaukee black oxide step drill bit set has taken some flak, with negative reviews mentioning one or multiple bits breaking with little use and failing to effectively drill into material as advertised. The Milwaukee Shockwave carbide multi-material masonry bit set didn’t fare much better with a large number of Home Depot customers. Bit tip wear after just a few holes, complete breakage, or total inability to drill into certain materials made this set a disappointment for many who tried it out — especially given the Shockwave line prides itself on increased durability and efficiency.
How these drill bit brands were selected
These specific drill bit brands were selected as users’ least favorites through extensive research. The first thing to do was go to various home improvement stores such as Home Depot, Lowe’s, and Harbor Freight to look over the sentiment toward the most prominent drill bit brands. This included star ratings and the number of customer reviews under bits and full kits. From here, it was possible to whittle down that list to those that had received some of the least support among customers.
With the brands chosen, digging into reviews was the next step. It needed to be determined where exactly these bits went wrong for customers, and ensure their less-than-stellar reputation wasn’t based on user error. This entailed looking through reviews on product listings, forums like Reddit, and media platforms like YouTube to find commonalities in negative user experiences. This made it clear that these bits’ inability to deliver was somewhat universal and the claims of these brands being bad wasn’t based on one-off anecdotes.
Tech
Why Gmail’s AI-generated email replies feel so creepy
I first noticed it when, a few months ago, I opened an email from Ian, my literary agent. Before I’d had a chance to read anything he’d written, Gmail was recommending a full, fleshed-out, AI-generated reply, ventriloquizing ideas for a book and even my feelings about the job transition I’d recently made. It had mined my inbox to infer why Ian was writing to me and ingested bits of my style, even signing off with the lowercase “m” that I use with people with whom I have an easy familiarity.
For around a decade, Google had been suggesting very generic, sometimes monosyllabic “smart replies” — things like “Okay” or “Thanks!” or “Any thoughts?” I’ve used these to send quick acknowledgements to emails I’d have otherwise forgotten about. But in the last couple years, Gmail has begun to offer fully formed draft replies that presume to impersonate my own, individual reactions to my interlocutors’ questions, ideas, and emotions.
This felt like a striking turn. I reflected with some sadness on the idea of sending one of these to someone who matters to me — how dehumanizing to both me and Ian it would feel to make him read a counterfeit subjectivity pretending to be my own.
You might say this is no big deal; maybe it gives you time back for deeper work or more meaningful parts of your life (I wouldn’t begrudge that at all — AI saves me time, too!). We’re all drowning in too much email, much of it pointless or lacking any great meaning. Isn’t that exactly the kind of day-to-day tedium that we should happily invite AI to liberate us from?
But I think that this machine-generated personal correspondence, which is only likely to spread further into other forms of communication, has preoccupied me because there’s something deeper going on here. A lot of ink has been spilled in the last few years about AI-generated writing and its social consequences — how it will deskill millions of workers, outsource our thinking, confuse kids growing up in the AI age about the difference between real and synthetic friends, and so on. We already know that AI language is unnervingly good at sounding like it’s the product of a fellow consciousness. But the particular creepiness of elaborate email autocomplete is that it’s training on and simulating your consciousness. And as it does so, it also gives you a little less reason to actually be conscious.
AI writing and “cognitive surrender”
Like many knowledge workers who derive their living and their identities from cognitive capacities now being at least partially replicated in silicon, I have a complicated and ambivalent relationship with generative AI. I now depend on it to research almost every story I work on, a purpose for which it’s obviously very useful (despite those who still insist it can never be useful for anything).
I am, though, deeply skeptical of using it for writing, because, as many writers smarter than me have already noted, writing is inextricable from thinking, and short-circuiting it can diminish our capacity for deep thought. The friction of writing is not dead weight but is part of how you decide what you mean and give coherence to ideas. For that reason, my former Vox colleague, the brilliant Kelsey Piper, who is generally positive about AI’s potential to make us more productive and improve human life, said on a recent podcast episode, “I would never use it to write.”
In a recent paper, a pair of University of Pennsylvania scholars described the wholesale outsourcing of cognitively complex tasks to AI as “cognitive surrender.” “An abdication of critical evaluation,” they write, “where the user relinquishes cognitive control and adopts the AI’s judgment as their own.” This is one reason why it felt especially inappropriate to have AI generate thoughts for me in reply to someone with whom I’m brainstorming about writing a book, likely one of the most cognitively demanding things I’ll ever do. Email, for all of its annoyances, is also relational. And letting a machine generate your side of the exchange diminishes the authenticity of your connection to another person.
Sometimes the AI drafts, of course, are plainly wrong. An AI-suggested email might, for example, say you’ve read a book that you haven’t, perhaps making it more likely that you go along with the false claim. But what unsettles me the most is not the mere hallucination, it is when the AI is right, or right enough. My email’s AI is pulling from its knowledge of everything I’ve written before, so it can often make a reasonable guess of what I’d want to say anyway. The system is not wholly failing to reproduce my mind, but is actually producing a close-to plausible substitute for it.
It feels like the beginnings of what Silicon Valley has prophesized for decades as a coming merge (sometimes called the “singularity”) between human and machine minds. I used to consider this a totally improbable idea, but I hadn’t been open-minded enough. It might turn out to be dispiritingly easy for an advanced AI to train on a sample of your past thoughts and write future ones for you.
Still, it seems unlikely that we will simply acclimate to the idea that all the written communication we encounter and generate every day may be AI-generated. So much, if not most, of our interpersonal communication now takes place in writing. However vulnerable we may be to cognitive surrender, humans also have a deep countervailing need to experience language as coming from another conscious mind — to feel seen and known, and to assert our own distinctness in return.
And anyway, Gmail isn’t yet that good at imitating my conscious voice. I would never write, “Lots of interesting stuff coming up at Vox!” (Which isn’t, of course, to say that there isn’t a lot of interesting stuff going on at Vox.) That still leaves me, for now, with the pleasure of figuring out what I want to say.
Tech
Judge dismisses Elon Musk's X lawsuit over "advertiser boycott"
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Judge Jane Boyle of the US District Court for the Northern District of Texas ruled Thursday that X failed to show any “antitrust injury,” such as a measurable benefit to rival social media companies. “The very nature of the alleged conspiracy does not state an antitrust claim, and the court…
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Tech
BGIS Grand Finals Day 1 Highlights: GodLike Dominate, Soul Shine
BGIS Grand Finals have just started, and it was exhilarating. We expected top performance from teams like Soul and GodLike, and we got them. On top of that, we also got GENS putting on an absolute show of domination in terms of finishes. Here’s everything that happened on the first day of BGIS Grand Finals 2026.
Match 2 & 3: Soul Flip the Script Against Team Tamilas
Team Tamilas looked like the clear favorites for most of the match. They had control, positioning, and momentum going their way until the final circles.
Getting into the playzone turned out to be their biggest problem, and that’s exactly where Team Soul stepped in and completely wiped them out.
Soul went on to take the chicken dinner in dominant fashion. Goblin led the charge with 5 finishes, while Nakul backed him up with 4. RGE tried to keep up and secured second place, but there was just no stopping Soul in this one.
The third match kicked off with a bit of a shocker. Home team Tamilas took an unnecessary fight against LEFP—something that could’ve easily been avoided—and paid the price for it.
This match ended up being one for the underdogs. Nebula showed promise for a while, but their push into Pochinki didn’t go as planned, and things fell apart quickly.
Match 4: Slow Start, Explosive Finish

Match 4 started off slow, almost too quiet, with barely any action in the early zones. But once things picked up, chaos followed.
Ninz were the first to go after getting caught in a bridge camp by Reckoning. Nebula’s rough day continued as they were eliminated soon after. Then came the big surprises—table toppers Soul were knocked out early, followed by WF.
Genesis eSports, however, stole the spotlight. Even without winning, they racked up 17 points purely from finishes, including taking down GodLike. In the end, it came down to VE, WELT, and RGE. VE looked like the strongest team throughout the final moments, and it played out exactly that way as they secured the chicken dinner.
Match 5 & 6: GodLike Enter the Chat
Match 5 saw Xspark being eliminated early, thanks to a quick play from Jonathan. K9 and OG continued their poor run, while even VE, the previous match winners, had a rough start, managing just 2 points.
Genesis eSports once again came in hot with over five early finishes, but this time they had serious competition—GodLike. The final circle featured GodLike, WF, and VS. What followed was an absolute thriller, with GodLike coming out on top and announcing itself as a serious contender.
The last match of the day was nothing short of madness. It started with early eliminations, including Ninz and even Genesis eSports. GodLike found themselves in a tricky position outside the zone and were eventually taken down by Soul, who were on a roll.
Soul also eliminated OG without losing a single player. The final zone was insane—five teams alive in a semi-urban, rocky area. K9 was the first to fall, followed by Soul. It all came down to VS, VE, and WF. In the end, VS held their nerve and secured the final chicken dinner of the day.
Soul ended the day topping the standings, followed closely by Godlike. For the full standings, click here.
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