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I put Google’s 24/7 AI assistant Gemini Spark to work, and it’s actually pretty useful

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Gemini Spark is Google’s new 24/7 agentic assistant, designed to help you help you “navigate your digital life,” which essentially means getting your online to-dos done, summarizing the things you don’t have time to read (like the entirety of your inbox), or organizing something that would have otherwise involved too much screen time-filled manual labor, like a personal expenses spreadsheet.

The service was first introduced at Google’s annual developer conference in May, where CEO Sundar Pichai joked that Spark, which runs on virtual machines in the cloud, means that “yes, you can close your laptop.” The in-joke here is that he’s comparing Spark to other agentic AI systems, like the ever-popular OpenClaw, which require keeping the machine awake to run its tasks.

Spark, he’s suggesting, is agentic AI for the rest of us — those who would rather get things done without nerding out about it by setting up an always-on AI machine.

In practice, Spark is still very much designed for work-adjacent tasks, given its integration with Google’s productivity apps like Gmail, Calendar, Docs, Sheets, and Slides. (After all, how many times are you preparing a deck for in your personal life? Unless you’re a Gen Z creator explaining the latest meme to your chronically offline friends, that is?)

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Google also struggles a bit to come up with real-world examples that would convince someone that Spark is a “must-have” rather than a “nice-to-have” tool for personal use.

Among its suggestions for “personal productivity” is using Spark to scan your emails and calendar for the day and send you a recap with your top three must-do tasks,” which already assumes you are a person who jots down your to-dos in a calendar or email app, instead of a notepad (virtual or otherwise), or just keeps a running list in your brain. (E.g., Grab prescriptions and shampoo at Walgreens. Buy more dog food. Hang out with friends on Saturday.)

Google also suggests you could use Spark as a weekend planner, by drafting a Google Doc “suggesting three free activities based on my open calendar blocks for the upcoming weekend,” which, again, assumes you are some sort of scheduling nerd in your offline life.

Nevertheless, with early access to Gemini Spark, I decided to put it through its paces, with what are perhaps some real-world suggestions of my own. I came away surprised that it was a fairly useful implementation of consumer AI, but not one that deserves to have its own brand.

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Finding Savings

For one initial task, I asked Spark for help with a shopping-related research. The idea was to help me with an everyday local drugstore trip for household items, so I asked Spark for product suggestions based on weekly deals and coupons I could clip.

Image Credits:Screenshot of Gemini Spark by TechCrunch

At first, Spark seemed to do pretty well here, as it told me exactly what products were on sale that matched my needs, and suggested coupons to clip in the Walgreens app for extra savings. It even suggested how I could stack coupons for one item by combining online promo codes, if I were placing an online pick-up order and was planning to spend more on personal care items.

However, as is often the case with AI, the devil was in the details, as one of the promo codes was invalid when I tried it, despite meeting what the AI said were the requirements. Still, Spark pointed me to some other savings — like buy-one-get-one-free and rewards deals that made up for this gaffe.

Planning a packing list for a day trip

In another test, I asked Gemini for help with a packing list for a day trip out of town. I asked it to check the weather, gather the event details, and make suggestions of what to bring with us, like sunscreen or water, to see what it would come up with, after it learned more about the activity. I asked for the final list to be imported into Google Keep.

Image Credits:Screenshot of Gemini Spark by TechCrunch

Guess what Spark can’t do? Use Google Keep.

That’s a huge oversight, given that Google’s notetaking app would be essential for anything in the realm of personal productivity. Instead, it offered to make me a doc or draft me an email because, sure, that’s the sort of thing I’d want to check for my list of to-brings. (??)

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In terms of the list itself, however, Spark was spot-on, suggesting lawn chairs or blankets, water, sunscreen, sunglasses, a light layer for when the sun goes down, a reusable shopping bag, and an umbrella for possible light showers that day. It also reminded me that dogs were not allowed, despite the event being outdoors. (Sorry, Princess!)

Image Credits:Screenshot of Gemini Spark by TechCrunch

Summer Camp / Activity Suggestions

My child has aged out of summer camps for kids (and should probably just get a job), but before we went that route, I wanted to scour the local area to find out if there were any summer activities available for teens that she could do in addition to her engineering camp in June. I asked Spark to do a thorough search and find any and all suggestions, keeping in mind that we would not want to drive more than around 30 minutes.

Image Credits:Screenshot of Gemini Spark by TechCrunch

Spark generated a decent list of ideas for activities that matched my child’s interests, and plotted out how far they were from home. Unfortunately, I forgot to prompt Spark to get the costs or dates of the programs, and it didn’t bother to tell me, which meant I still had to do more manual research on my own.

Image Credits:Screenshot of Gemini Spark by TechCrunch

Recurring Task: Summarize newsletters from email

Like many, I subscribe to too many newsletters, so I put Spark to work on preparing me a weekly summary, which would arrive every Friday, focused only on the top five posts or articles I shouldn’t miss reading, along with a link.

Image Credits:Screenshot of Gemini Spark by TechCrunch

The AI got to work, digging into my inbox and, within moments, had presented a summary of several interesting articles to read that included context and a link. (The link ended up being a Google.com redirect that didn’t work — I had to click the link displayed on the redirect page, as it never automatically sent me to the site in question.) While I generally liked the suggestions, Spark only returned four articles to read when I had requested five. Spark had interpreted the request as “4-5” for some reason.

Recurring Event: Suggest Weekend Activities

For another request, I asked Spark to compile a list of weekend activities around town for me on Fridays, so I can get to planning my weekend fun. As someone who lives in a smaller city, there aren’t always big events or things to do, so making sure you don’t miss the anticipated street festival or hot show when it comes to town is key. But there’s no single source to find everything there is to do — you have to read multiple local newsletters, visit websites and Facebook Groups, read the newspaper online, and more.

Spark instead set up a web search, combined (at my request) with a search of my Gmail for any relevant local newsletters, digests, or lists with keywords indicating a local activity suggestion. It then compiled a list of upcoming weekend events and noted that if I wanted to add any to my calendar, I could just reply.

If it wasn’t for Spark, I would have never known there is an Annual Beaver Queen Pageant nearby, which apparently features people in beaver costumes raising money for wetland conservation? OK, I might need to check that out. (You still have to tell Spark to add it, then click a button to confirm, but this is easier than the manual labor of reading through so many sources for ideas.)

Recurring Event: Check for Price Drops

Image Credits:Screenshot of Gemini Spark by TechCrunch

For my last request, I set Gemini Spark to work on tracking price drops for an expensive eye cream. As a penny-pincher, I’d never buy it unless there was a crazy sale. I wanted Spark to keep track of the price changes for me and alert me if the eye cream ever became more affordable. However, Spark’s interpretation of this request was to simply recheck the price every two weeks to see if it dropped below my target. I’m not sure that would be frequent enough to spot a deal. (I’ll update if the results are successful, but I believe I’ve set too low a bar as my target — even after raising my bar by another $10! — so this is probably just wishful shopping at this point. But I’m always hopeful some online retailer will make a pricing mistake one day!)

More Ideas to Come

I can already see how I’ll be able to integrate Spark into my everyday life in other ways, too — I already have ideas for more email monitoring and cleanup tasks, for instance. The next time I change the home’s air filter, I’m going to ask Spark to remind me in three months to swap it out. If I ever get around to taking a vacation, I’ll probably have some tasks for it then, as well.

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Room to improve

While Spark already performed fairly well on my tasks with only small quibbles, the biggest criticism I had was that there’s no need for this to be a standalone product with a different branding. I think that adds to consumer confusion in this day and age, where there are so many things happening in the AI space, and where every new model has its own name and number, and some of these are quite wild. (Nano Banana, anyone?)

Image Credits:Gemini screenshot by TechCrunch

Why not just pitch Spark as something Gemini can do out of the box, instead of making it its own product? Why does the toggle have to say “switch to Spark,” instead of just “switch to Tasks?” (If it even needs to have its own space in the user interface!) I personally don’t want to carry the mental load of trying to determine whether something is a question or a task; I just want to type in a question or request and be done with it.

I also think the lack of Keep integration is a major miss in terms of being helpful with your personal productivity. Google Docs is overkill for a packing list. And, unfortunately, for iPhone users, tapping into Gemini Spark directly from your device through a push of a hardware button or gesture won’t be possible — unless Apple announces this at next month’s WWDC? Instead, you’ll need to launch the Gemini app and use it from there. (Another issue with having Spark as its own toggle within Gemini — you can’t program the iPhone’s Activity Button to go directly to Spark, which is separate from Gemini’s chatbot interface. How great it would be if everything Gemini does were all in a single destination! Ugh!)

And while Spark will later be able to do more with MCP integrations, not being able to set it to perform certain tasks, like booking your favorite date night restaurant regularly through Resy or looking for flight deals on a preferred booking engine, for instance, makes Spark feel somewhat lacking for the time being, given that not everything you do online takes place in Google’s universe of services.

(Also, I’d really like to text Spark. I wish that were an option, too.)

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When the Trump administration cracks down on Anthropic, who benefits?

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Anthropic recently took its two newest AI models offline due to an export control order from the Trump administration, prompting broad debates about AI policy and digital sovereignty.

On the latest episode of TechCrunch’s Equity podcast, Sean O’Kane, Rebecca Bellan, and I discussed what actually prompted the administration’s moves against Anthropic, and what this might mean for the broader AI ecosystem.

As Sean put it, “Anthropic has not had the best relationship with the Trump administration in a way that stands apart from the other leading AI labs,” so perhaps other Anthropic’s rivals don’t need to worry about a similar crackdown.

But Rebecca also noted that leading cybersecurity experts have “signed an open letter to ask Trump to revoke the order, and they say it’s actually dangerous to have to pull these advanced cybersecurity capabilities from network defenders in the U.S.”

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And we wondered whether this could all end up being good publicity for Anthropic, especially since — in Rebecca’s words — “everybody loves a bad boy.”

Keep reading for a preview of our conversation, edited for length and clarity.

Rebecca Bellan: As I’m sure many of our listeners know, the U.S. government basically just forced Anthropic to pull its two newest models offline — Fable 5, and then there was also Mythos 5, which was the one that was available to current Mythos users, [whereas] Fable 5 was more available to the public.

They sent a letter [last] Friday that cited “national security concerns.” No one knows what those concerns are. That report has not been made public, they gave no specifics and told [Anthropic] that they had to ensure that those models couldn’t be used by any foreign nationals. So Anthropic was like, “Okay, I guess we have to just pull the models entirely, because we don’t know when someone’s a foreign national. A lot of our own employees are foreigners.” 

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But really, [reports said] the White House got tipped off to this because of some Amazon researchers that allegedly found a way to bypass Fable 5’s guardrails. Amazon CEO Andy Jassy raised these concerns with the White House, and it just kind of spiraled from there.

Sean O’Kane: This all moved really fast, especially for a Friday afternoon into a weekend. And it’s at the same time that the administration was ostensibly trying to negotiate some sort of treaty for the war that it started in Iran. 

Rebecca: Friday evening for us in New York. They love a distraction.

Sean: Let’s step real far back for a moment. Anthropic has not had the best relationship with the Trump administration in a way that stands apart from the other leading AI labs — I think there’s an element, at least, of that playing here. 

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So do you think that this is going to have implications for those other companies? Do you think that the Trump administration would be less inclined to sort of turn off the tap on one of those competitors?

Anthony Ha: Part of the context here is that both the reporting and an analysis from independent security experts suggest that the actual security risk from Anthropic is not that unique. So a lot of this seems to stem as much from parts of the Trump administration and Anthropic just [not getting] along very well. Whatever risks there are, those things are gonna blow up out of proportion just because it seems like they can’t have a civil phone call with each other.

If you’re another company — on the one hand, maybe that’s advantageous to you, because you can say, “Well, we just don’t get these guys mad at us and we can do what we want.” But that’s also not a great regulatory landscape to just [say], “Boy, I hope they don’t get mad at us.”

Rebecca: On the one hand, it definitely feels retaliatory — after the government labeled Anthropic a supply chain risk, there’s this big lawsuit going on between them, it really feels like the White House is just looking out for any excuse to pummel Anthropic. And I feel that way not only because that was my initial reaction, but because of what a lot of cybersecurity researchers have said. They say that this should never have triggered an export control [order]. They’ve all signed an open letter to ask Trump to revoke the order, and they say it’s actually dangerous to have to pull these advanced cybersecurity capabilities from network defenders in the U.S. Anthropic itself said some of the same jailbreaks could have been found in several other AI models. 

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Cynically, it’s like: Okay, are you just pausing Anthropic so that others can catch up to where Anthropic was?

But at the same time, I’ve also seen reactions that [say]: Anthropic kinda had this coming. They’re like, “This is too dangerous for anyone to use, but not us, we’re the good guys.” They’re talking out of both sides of their mouth. A week before Fable came out, they were [saying], “Hey, we need to slow down AI, guys. It’s getting really dangerous.” But then boom, “Here’s our most insane ever, super powerful model, go off.” 

Anthony: In some ways this feels like a microcosm of a lot of the discussion around AI, where people like Sam Altman and Jensen Huang are [saying], “Hey, let’s try to lower the temperature. Why is everybody mad at us?” Well, you spent the last couple years essentially saying you’ve built this God machine that will take jobs away from everyone. It’s not exactly a shock that people don’t feel great about this.

And there’s something about the way Anthropic talks about Mythos in particular, where they’re like, “This is the most incredibly powerful model ever, it’s too dangerous to release to the public.” And so on some level, [you say,] “Well, okay, let’s say that we take that seriously then. That means that there’s going to be an incredible level of scrutiny around it.”

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And I do wonder — it does seem like Anthropic is not happy about this. I want to be careful about not overstating how this could be beneficial to them. But we also ran some stories about Ramp analysis to highlight the fact that the last big blow-up between Anthropic and the Trump administration was good for the company, in at least some ways. Downloads of Claude shot up. I think a lot of people who maybe had thought of ChatGPT as the chatbot, the AI assistant before, suddenly they were looking at Claude as maybe the more responsible one, the more “resistance” one.

And in the same way, [while] Anthropic is very stressed out about this, this could, again, make their models seem even more powerful.

Rebecca: Definitely. “We’re so dangerous.” Everyone loves a bad boy, right? Everyone’s like, “It’s the most powerful model, even Trump says so. Of course, I’ve got to get my hands on it.”

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The Secret Revolution in Battery Technology: 3-D Printing

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“There’s a revolution in battery technology hiding in plain sight,” reports The Wall Street Journal. “The 3-D printing of batteries has the potential to put energy storage inside any device.

“This will enable lightweight and long-lasting consumer gadgets, long-range military drones and even nanoscale robots.”
Almost all the innovations we regularly hear about — from cheaper, tougher electric-vehicle batteries to “Holy Grail” solid-state batteries — are about changing the chemistry of batteries. The promise of battery-tech 3-D printing (aka additive manufacturing) is simple: What if batteries could fill any available space, even structural elements of our gadgets, rather than always taking a rigid shape like a pouch or cylinder?

The new approach has obvious appeal. The entire airframe of a drone could be filled with energy storage for increased range. Smartglasses could have sleek battery-packed frames, so they look like everyday eyewear rather than “Revenge of the Nerds” props. One of the biggest advantages of 3-D printing is that it works with any battery, regardless of its cell chemistry. It could advance today’s lithium-ion as well as emerging sodium-ion and solid-state tech… Some [startups] are trying to use 3-D printing to create efficiencies in existing battery manufacturing systems. A brave handful of startups are pursuing radical new designs and approaches. They’re starting with defense applications, where cost and scale are less of an issue…

At Silicon Valley-based Sakuu… [r]ather than trying to 3-D-print whole batteries, the company is working on replacing one of battery manufacturing’s biggest pain points, says Arwed Niestroj, Sakuu’s chief operating officer, who is also a nuclear physicist and former head of Mercedes-Benz Research & Development North America. Existing battery assembly lines include football-field-long ovens for drying layers of material that have been dissolved in solvents. This requires a huge amount of energy and is a significant contributor to manufacturing costs, a big reason EV batteries aren’t cheaper. Sakuu’s process, under development for years, uses additive manufacturing to lay down key battery components without solvents, eliminating the need for ovens, says Niestroj.

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Sakuu is currently working to commercialize this tech with a major battery manufacturer…

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Hackaday Links: June 21, 2026

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Today marks the summer solstice, the longest day of the year and the start of astronomical summer in the Northern Hemisphere. This doesn’t really have much to do with hacking hardware or building gadgets other than the fact that from this point on you’ll have progressively less daylight hours to do it in each day. Of course, if you do your best work in the middle of the night this won’t impact things much.

If you’re as likely to find a controller in your hand as a soldering iron in the evenings, you might be interested in a recent filing against Sony. Lawyers representing a group of four gamers allege that the entertainment giant is violating a California law that says digital storefronts need to make it clear that buyers don’t technically own the games in question but are merely licensing them — a license which, as we’ve seen in the past, can be revoked or modified at any time with no restitution made to the purchaser.

Now while we agree conceptually that selling gamers a license rather than an actual copy of the game is clearly a one-sided deal, we’re still not sure this case has a lot of merit. As far as we can tell, Sony does make it clear in the fine print that you’re not really going to own anything once they take your money. Or, at the very least, they make it equally as clear as any other company that’s selling digital downloads these days. Should the court actually find that said fine print is a little too fine, it could conceivably have ramifications throughout the entertainment industry. This is certainly a case to keep an eye on.

If you want to be sure none of your games can be removed from your digital grasp without warning, perhaps your best bet is to stick to the classics. Fans of 1989’s F-15 Strike Eagle II on PC will be excited to hear that there’s an ongoing effort by Neuvieme Porte to reverse engineer the flight sim and re-implement the whole thing in portable C.

This would open up all sorts of possibilities, such as ports to other platforms and the addition of new features and content. But before the project can get to that point however, Neuvieme is looking to recruit some virtual test pilots. Just keep in mind that the goal, at least for now, is to recreate the game exactly. That means bugs present in the original release are to be preserved. As such, it would help to have logged enough hours back in the DOS days to recognize what’s an OG bug and what’s been newly introduced.

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From working on virtual jet fighters to the real deal, IEEE Spectrum recently ran an article about a startup called Phoenix Semiconductor that’s looking to produce bespoke pin-compatible replacements of critical chips for the military. They reason that the Air Force won’t mind paying $1,000 for a chip that cost them a buck back in 1975 when the alternative is grounding a $70+ million F-18 that needs the thing to take off. The goal isn’t really to recreate the old parts as they were, but instead to build drop-in replacements that are tailored for specific applications. In other words, Uncle Sam doesn’t care of the IC actually looks like the original, so long as it fits and it gets the jet up in the air again.

Finally, on the subject of aerospace technology, NASA’s Jet Propulsion Laboratory published a blog post earlier this week detailing their work on the Exploration Rover for Navigating Extreme Sloped Terrain (ERNEST). While NASA’s Curiosity and Perseverance rovers have done some incredible work on Mars, they’re slow and have to be operated with the utmost caution to make sure they don’t get stuck. In comparison, ERNEST is several times faster and is designed with an active suspension system that lets it lift each wheel up off the ground independently if needed.

The prototype rover also features improved autonomy that may allow future rovers make more decisions on their own. That may not be a huge time saver on the Moon, but given the communication delays with the Red Planet, a Mars rover that doesn’t have to stop and ask Earth for directions so often will be able to get more useful work done at the end of the day.

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See something interesting that you think would be a good fit for our weekly Links column? Drop us a line, we’d love to hear about it.

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Polymarket Has Reportedly Been Paying Creators To Post Fake Betting Videos

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The Wall Street Journal reviewed 1,105 videos along with guidance given to creators for crafting their posts.

In case you needed another reason to be wary of those videos showing people winning big on Polymarket, an investigation by The Wall Street Journal has found that the company is paying social media creators to post misleading content promoting the prediction market. Of the 1,105 TikTok videos the publication reviewed, 778 appeared to show someone placing a bet — but a closer look reportedly revealed that none of the latter featured the actual Polymarket website, instead using dummy sites made to look like the real thing.

For more than half of the videos that appeared to show winning bets, those bets would in reality have been losses, The Wall Street Journal reports. The publication spoke to creators who worked with Polymarket and viewed materials they say they were given to ensure their videos were convincing and engaging. In addition, Polymarket reportedly also enlisted a “social-media army” to repost these videos and help them go viral.

Polymarket has been making headlines this year as governments grapple with how to regulate prediction markets. Minnesota last month became the first US state to ban them. Other states have tried to do the same, but multiple lawsuits have challenged these efforts. Meanwhile, Spain blocked Polymarket and another prediction market, Kalshi, in May as it figures out whether they violate the country’s gambling law.

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How to watch New Zealand vs Egypt: Free Streams & TV Channels for World Cup 2026

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Mo Salah’s Egypt meet Chris Wood’s New Zealand at BC Place in Vancouver, with both teams looking to break away from the Group G bottleneck after all four sides opened their World Cup 2026 campaigns with draws.

Although Egypt performed well, especially defensively, in their opener against Belgium, they led for nearly two-thirds of the match before an own goal by Mohamed Hany, arguably caused by the impact of Romelu Lukaku’s introduction, brought Belgium level.

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NYT Connections hints and answers for Monday, June 22 (game #1107)

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Looking for a different day?

A new NYT Connections puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Sunday’s puzzle instead then click here: NYT Connections hints and answers for Sunday, June 21 (game #1106).

Good morning! Let’s play Connections, the NYT’s clever word game that challenges you to group answers in various categories. It can be tough, so read on if you need Connections hints.

What should you do once you’ve finished? Why, play some more word games of course. I’ve also got daily Strands hints and answers and Quordle hints and answers articles if you need help for those too, while Marc’s Wordle today page covers the original viral word game.

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Nutanix’s Tech Day London 2026 offers infrastructure insights

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SPONSORED POST: Come join this working afternoon for infrastructure teams

Your hybrid estate has grown more complicated since the last refresh cycle. Some workloads run in the public cloud, others never left the rack, and a few sit stuck in transition because nobody wants to be the person who broke the database. Add AI to the pile and the platform questions only get harder.

Nutanix Tech Day is a half-day event designed to help the people who have to deal with increasingly complex infrastructure.

Date: Wednesday, June 24, 2026

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Time: 12pm to 6pm BST

Place: Prospero House, Southbank, London

Registration is free and includes lunch, refreshments, and time set aside for networking.

What you’ll learn

The agenda runs through the headline announcements and key takeaways from Nutanix .NEXT Chicago 2026. Then you’ll get technical sessions on disaster recovery, data sovereignty, hybrid multicloud management, operational automation, and enterprise AI use cases that have shifted from slideware into production budgets.

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The tracks split so you can pick the sessions aligned to your priorities and skip the rest. If you have ever sat through a vendor day waiting for the one talk relevant to your stack, try this instead.

Customer sessions are especially worth turning up for. The Bunker and London Gatwick Airport will walk attendees through what they have done with Nutanix in production, and talking to people who run the platform day to day is the cheapest form of due diligence you will find.

Who it’s for

This event is for infrastructure engineers, technical architects, systems administrators, and cloud professionals. Security and compliance leads have reason to attend too, given the disaster recovery and data sovereignty material on the agenda.

Why attend in person?

The event puts you in a room with peers tackling the same problems and with the engineers who have run these platforms in production, the kind of conversation that rarely transfers to a video call. You can put questions directly to Nutanix specialists in an interactive setting, which tends to be the part of these days that justifies the train fare.

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The 12pm start gives you half a day out of the office to meet some interesting people, lunch included, and a working list of things to try when you get back. The tote bag is optional.

Join Nutanix Tech Day London 2026

Discover practical insights from Nutanix experts and industry leaders on AI infrastructure, hybrid multicloud, modernisation, and operational resilience. Register now.

Sponsored by Nutanix.

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RENPHO Smart Scales are at their lowest price for Prime Day

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When did you last step off the scales feeling like you actually understood what the number meant, rather than just hoping it was moving in the right direction?

RENPHO Smart ScalesRENPHO Smart Scales

RENPHO Smart Scales are at their lowest price for Prime Day

RENPHO Smart Scales are at their lowest price for Prime Day

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The RENPHO MorphoScan Smart Body Scale is built to answer that question, using Bioelectrical Impedance Analysis to track over 13 metrics including muscle mass, visceral fat, body water percentage, and metabolic age alongside your weight.

It’s down to £89.99 from £109.99 during Prime Day, saving you £20 at its lowest price ever on Amazon, which makes this the most accessible the MorphoScan has been since it launched.

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Those metrics sync automatically over Bluetooth and Wi-Fi to the RENPHO app, which converts your readings into visual trend charts so you can see week on week whether your training is shifting body composition or just fluctuating water weight.

The app connects natively with Apple Health, Fitbit, and Google Fit, so the MorphoScan slots into whatever health ecosystem you’re already using without asking you to abandon anything you’ve built up.

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It also supports unlimited user profiles and recognises each family member automatically when they step on, meaning one device handles an entire household without anyone needing to manually switch accounts or scroll through a settings menu.

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The platform itself is built around high-precision sensors housed in a design that sits cleanly in a modern bathroom, so it doesn’t feel like a compromise between function and the way the room looks.

The fact that over 700 verified Amazon buyers have settled on a 4.2-star average for the MorphoScan is the kind of signal that matters more than a spec sheet when you’re choosing something you’ll step on every morning.

If you’ve been tracking progress the hard way and want something that finally gives you a full picture, the £16.50 saving makes the RENPHO MorphoScan a genuinely strong buy before the Prime Day window closes on 26 June.

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Use of HMRC’s taxing IR35 status tool drops 71% in two years

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PUBLIC SECTOR

Data suggests firms are turning away from CEST as critics say it fails to reflect recent court rulings

Use of HMRC’s own tool for checking compliance with the UK’s controversial IR35 freelancer tax rules has fallen sharply, according to Freedom of Information data obtained by tax adviser IR35 Shield.

The Check Employment Status for Tax tool, better known as CEST, was created to help firms decide whether contractors should be taxed like employees. But usage fell 43 percent during the 2025-26 tax year, and dropped 71 percent between 2023-24 and 2024-25, from 458,894 determinations to 135,178.

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What is IR35?

IR35 is a reform unveiled in 1999 by the UK tax authorities. The latest regulation change – which came into force in April 2021 – forces medium and large businesses in the UK to set the tax status of their contractors and freelancers. Previously this was set by the contractors themselves.

Contractors found to be within the scope of the legislation – i.e. inside IR35 – will have to pay more tax than they might expect.

The reforms are part of the government’s crackdown on so-called disguised employment, where workers behave as employees but avoid paying regular income tax and national income contributions by billing for their services through PSCs, which are taxed at lower corporate rates.

The measures first came into effect in the UK public sector in 2017. The British government hoped the reforms would recoup £440m by bringing 20,000 contractors in line.

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HMRC reckons that only one in 10 contractors in the private sector who should be paying tax under the current rules are doing so correctly. It estimates the reforms will recoup £1.2bn a year by 2023.

The findings suggest that firms continue to abandon CEST in favor of alternative status assessment solutions and more comprehensive compliance processes, IR35 Shield said.

CEO Dave Chaplin said: “The majority of firms we speak to for the first time are either lifting blanket bans or seeking to move away from using CEST, having realized it is not compulsory to use, nor does it give them the level of certainty they need.”

The decline is not the result of changes to the tool or legislation, according to IR35 Shield.

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“The underlying CEST logic has not been updated since November 2019 and was based on HMRC’s view of the law at that time. Despite the courts dismissing HMRC’s position in key areas, upon which the tool was based, the tool has not been updated,” Chaplin said.

IR35 Shield pointed out that HMRC lost a recent employment status case with Professional Game Match Officials Limited (PGMOL). Entering the facts of the case into CEST would have produced an indeterminate result, it said.

In 2022, the Public Accounts Committee Committee (PAC) found that central government was spending hundreds of millions of pounds to cover tax owed for individuals wrongly assessed as self-employed. “Government departments and agencies owed, or expected to owe, HMRC £263 million in 2020-21 due to incorrect administration of the rules,” the House of Commons spending watchdog said.

Part of the compliance problem was down to HMRC’s guidance and the CEST tool. “Some questions within CEST were difficult to interpret correctly, and the guidance was long, too general in scope and not integrated into CEST itself,” the PAC said.

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In a statement sent to The Register, a spokesperson at HMRC, said: 

“We always expected use of the tool to reduce as employers familiarised themselves with the 2021 off-payroll working reforms, and the majority of those who use the tool are satisfied with the service they receive.

“The tool is rigorously tested against case law and we’ll stand by the tool’s results, so long as the information provided is correct in accordance with our guidance.” ®

 

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Is Tesla Planning To Sell Modular AI Data Center Hardware?

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Electrek reports:

Tesla wants to sell modular AI data center hardware, according to a new trademark application for a product called “Megapod.” The filing describes a complete, self-contained computing system for AI workloads…

Tesla filed the “Megapod” trademark (serial number 99893717) with the U.S. Patent and Trademark Office this month, through its longtime IP counsel. It’s an intent-to-use application, meaning Tesla is claiming the name for a product it hasn’t launched yet. The goods-and-services description is unusually specific for a trademark. Megapod covers “modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence data processing, networking equipment, power distribution units, and cooling systems.” It also covers “self-contained modular computing hardware systems for artificial intelligence workloads,” integrated platforms sold as a single unit — an enclosure bundling compute, power distribution, and cooling — and downloadable software to monitor, manage, and optimize those systems.

In plain terms: Tesla wants to sell a turnkey AI data center building block. Not a battery, not a chip on its own, but the full rack-and-room of servers, networking, power, and cooling that AI training and inference run on.

Tesla’s offering would have to compete with Nvidia’s liquid-cooled, rack-scale systems that simulates a giant GPU, the article points out. But “The bigger issue is that Tesla has no merchant compute-hardware business to build on.”

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Tesla’s own AI training cluster, Cortex at Gigafactory Texas, runs on roughly 67,000 Nvidia H100-equivalent GPUs. In other words, Tesla is one of Nvidia’s customers, not a competitor selling alternative hardware… Where Tesla does have a real AI-data-center business is power, not compute. Its Megapack and new Megablock energy storage products are selling into AI data centers as grid buffers — Musk’s own xAI has bought roughly $1 billion of Megapacks to keep its training runs powered. That energy-storage strength is the one credible thread here. A Megapod that bundles Tesla’s power electronics, thermal management, and the enclosure — the “shell” around the chips rather than the chips themselves — would at least sit adjacent to a business Tesla actually runs.

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