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Modern performance cars have become obsessed with numbers. Every new launch seems to focus on bigger horsepower figures, faster acceleration times, and headline-grabbing lap records. The problem is that all this added performance has come with a major downside: weight. Sports cars are heavier than ever, and many have lost the playful, connected feel that once defined the segment.

Google wants you to see Googlebook as the premium step above Chromebooks. It's the alternative to MacBooks and sleeker Windows PCs for people who want to go all-in with Android and Gemini.

Battery life on most Android phones is now pretty good, but apps can still drain your battery more than you realize, even when you aren't using them. As your phone gets older and the battery life shrinks, it's important to get them under control. I've started using the free app GSam Battery Monitor to do exactly that.

The arrival of the 2027 Audi Q9 is getting closer, the German manufacturer's new flagship that seats up to seven. Set for a full and proper reveal on July 28th, Audi gave us a glimpse of the Q9's interior, though it kept the exterior under a camouflage wrap.

Meta is bringing its AI chatbot to Threads in a way that should feel familiar to anyone who has spent time on X.

According to Engadget, the company is testing a new feature that gives Meta AI a dedicated Threads account — @meta.ai — that users can tag in posts and replies to add additional context to the discussion. The premise is essentially the same as Grok on X, where tagging the bot to fact-check or contextualize a viral post has become its own genre of reply-guy behavior.

SEE ALSO: Meta finally adds direct messages to the web version of Threads

The feature is currently in early beta and rolling out first to users in Malaysia, Saudi Arabia, Mexico, Argentina, and Singapore, per Engadget.

Meta's own blog confirms the broader rollout ambitions, noting that @meta.ai mentions in Threads posts and replies are part of a wider push to bring its new Muse Spark model across WhatsApp, Instagram, Facebook, Messenger, and Threads — showing up in search bars, group chats, and posts.

For users who would rather not have an AI bot surfacing under their posts uninvited, Meta says the @meta.ai account can be muted and its replies hidden.

The Threads feature is part of a larger set of announcements around Meta's revamped AI push. The company is also testing "side chats" on WhatsApp, which let users privately query Meta AI for context on what's happening in a group conversation without the response being visible to the rest of the group — a meaningful distinction from the Threads version, where Meta AI's replies are public.

The Grok comparison is an obvious one, and not entirely flattering.

Grok has had a rough run on X, generating pro-Nazi content, producing sycophantic output about Elon Musk, and surfacing child abuse material. Meta has generally maintained tighter guardrails on its AI products than X has with Grok, but giving any AI chatbot this kind of public-facing visibility on a social platform invites the same potential for bad behavior, and it's worth watching as the rollout expands.

There's nothing worse than investing hours into a great new TV series only to have the rug pulled out from under you by a network or streaming service canceling it just when things are getting good. In the current age of streaming, though, it's not enough to have the adoration of fans and a Rotten Tomatoes score through the roof—massive production budgets, shrinking viewership, and corporate takeovers are becoming more of a death knell to great shows than any number of downturned thumbs.

Remember Elon Musk's plan to put AI data centers in space?

It appears companies are taking the idea seriously. And one of those companies is Google.

According to a new report in the Wall Street Journal, Google is currently in talks with Musk's space exploration company, SpaceX, to strike a deal to launch rockets into space with the intent of putting data centers into orbit.

When SpaceX acquired xAI, Musk's AI company, earlier this year, Musk penned a statement explaining why he decided to combine his companies.

One big reason? Data centers in space.

While this was not the only reason, it was a main focal point for SpaceX's acquisition of xAI. SpaceX had recently filed with the Federal Communications Commission (FCC) seeking permission to launch "a million satellites" to put AI data centers into orbit.

"Current advances in AI are dependent on large terrestrial data centers, which require immense amounts of power and cooling," Musk explained at the time of the acquisition. "Global electricity demand for AI simply cannot be met with terrestrial solutions, even in the near term, without imposing hardship on communities and the environment. In the long term, space-based AI is obviously the only way to scale."

Google seems to agree with Musk.

Late last year, Google announced Project Suncatcher, an initiative to launch prototype satellites by 2027 in order to "one day scale machine learning computer in space."

Then, in February, just weeks after SpaceX's acquisition of xAI, Google CEO Sundar Pichai shared that the company was looking into its own orbital data centers. 

While speaking at the AI Impact Summit in New Delhi, India, Pichai recounted how when growing up in India, he never imagined he'd "one day be spending time with teams figuring out how to put data centers into space." 

While Google is still exploring rocket launch options with other companies, the search giant wouldn't be the first to partner with SpaceX in hopes of putting new AI data centers in space.

Last week, Anthropic and SpaceX announced a partnership to utilize xAI's data centers in Memphis, Tennessee. The deal also includes future space development as well.

A deal with Google would also be extremely beneficial to SpaceX right now, as the company plans its $1.75 trillion IPO in the coming months.

I don't know how it happened, but somehow I pay for four whole terabytes of cloud storage every month. Sure, it's shared with the entire household, but over the years I went from a few gigs of free cloud storage to a substantial annual fee for a big hard drive in the sky.

SAVE $309: As of May 13, the Mammotion Luba mini 2 robot lawn mower is on sale for only $1,899 and comes with a mini garage to protect it. A $2,208 value, that's a savings of 14% or $309.

Opens in a new window Credit: Mammotion Mammotion Luba mini 2 robot lawn mower $1,899 at Amazon
$2,209 Save $310   Get Deal

If yard work is already dragging you down this season, it may be time to consider a robotic lawn mower. Similar to robot vacuums, these battery-powered, AI-enhanced mowers will take over your most annoying chore and give you hours of your time back every week. While they're not exactly new on the market, they are more advanced and accessible than ever — especially when you can find one on sale.

As of May 13, the Mammotion Luba mini 2 robot lawn mower is on sale for $1,899 at Amazon and comes with a mini garage for protection. A $2,208 value total, that's about 14% or $309 in savings. The mini garage is essentially a sleek, minimalist canopy to keep direct sunlight and heavy rain from damaging your mower.

The mini version of our friends at ZDNet's (also owned by Ziff Davis) favorite robot lawn mower, the Mammotion Luba mini 2 features 360-degree LiDAR and dual-camera AI Vision, which are both essential for object recognition and navigation precision. There's also dual cutting discs with automatic height adjustment, intelligent route planning, smart battery management, location tracking, and more.

Specs aren't everything when it comes to robot mowers, however. The most important thing is that it's a good fit for your yard. Considering this is a mini model, it can only provide coverage for up to 0.37 acres before needing a charge. Mammotion also says it's "designed for complex residential lawns," so it can climb steep slopes up to 80 percent grade and manage pot holes and tough terrain better than most. If this sounds like your yard, the Luba mini 2 might be the model for you. And if it's a good fit, we recommend grabbing it while it's $309 cheaper.

At a glance

• Today’s critical services and applications are often highly concurrent, using hundreds of threads. They also operate at large memory scales, frequently hundreds of gigabytes, especially when using large language models.
• mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively small (~12K lines), with clear internal data structures, and is easy to build and integrate into other projects. It provides bounded worst-case allocation times (up to OS primitives), bounded space overhead, low internal fragmentation, and minimal contention by relying almost exclusively on atomic operations.
• mimalloc is available on GitHub (opens in new tab) and has over 12K stars.

mimalloc

At the RiSE group at Microsoft Research (MSR), we conduct fundamental research into formal methods, programming languages, and software engineering (including emerging agentic systems), with a particular focus on systems that can be provably correct, secure, and performant. The mimalloc memory allocator was initially designed in 2020 as a fast allocator for the state-of-the-art Lean (opens in new tab) and Koka (opens in new tab) programming languages developed at RiSE, both of which use novel compiler-guided reference counting (see Perceus).

The scalable design of mimalloc has also proved to work exceedingly well for large services at Microsoft. Through close cooperation with product teams, mimalloc has significantly improved the response times in services such as Bing.. Today, mimalloc is widely used in large services and applications, both within and outside Microsoft. It serves as the allocator for NoGIL CPython 3.13+, is integrated into Unreal Engine, and is used in games such as Death Stranding. 

The project is open source on GitHub, with over 12K stars. Its Rust wrapper alone sees over 100K downloads per day.

mimalloc is effective across a wide range of scenarios; from small-scale applications like Koka or Lean, to large services with memory footprints exceeding 500 GiB and hundreds of threads.

Despite this range, the codebase is still compact, at around 12K lines of C. Reflecting its research origins, mimalloc emphasizes clear internal data structures with strong invariants, making it easier to understand and reason about than many industry allocators. As Fred Brooks already remarked in his famous book The Mythical Man-Month: “Show me your flowchart and conceal your tables, and I shall continue to be mystified. Show me your tables, and I won’t need your flowchart; it’ll be obvious.”

As a result, mimalloc has been ported to many platforms—Windows, macOS, Linux, FreeBSD, NetBSD, DragonFly, and various consoles—, and is easy to build and integrate into other projects. For example, the clear data structures enabled Sam Gross and others to adopt mimalloc as the concurrent allocator for NoGIL CPython. The design also makes itrelatively straightforward to implement cyclic garbage collection on top of this.

The Fast Path

As with other scalable allocators (such as tcmalloc and jemalloc), a core design principle of mimalloc is that each thread maintains its own thread-local heap, which we call a “theap”. Each theap owns a set of mimalloc “pages,” which are usually 64 KiB. Each mimalloc page contains blocks of a fixed size, organized into size classes to reduce internal fragmentation. By giving each thread its own theap and set of mimalloc pages, memory allocation and deallocation typically proceed without synchronization. Atomic operations are only required when a thread frees a block allocated by another thread.

Moreover, in practice, most allocations are quite small, often less than 1 KiB. For such small allocations, mimalloc provides a fast path where the main allocation function looks like:

void* mi_malloc( size_t size ) { mi_theap_t* const theap = mi_get_thread_local_theap(); if (size > MI_MAX_SMALL_SIZE) return mi_malloc_generic(theap,size); // slow generic path const size_t index = (size + sizeof(void*))/sizeof(void*); // round size mi_page_t* const page = theap->small_pages[index]; mi_block_t* const block = page->free; // head of free list if (block == NULL) return mi_malloc_generic(theap,size); // slow generic path page->free = block->next; // pop free list page->used++; return block; }

By using thread-local theaps, we need no atomic operations or thread synchronization. We also try to minimize the number of branches. In particular, the thread-local theap is never NULL, and we initialize it with a special empty theap with all empty pages. This way, we do not need a separate check if the theap is NULL. Similarly, the pointers in the small_pages array are never NULL, and we use again special empty pages (with page->free==NULL) to avoid a separate check. Finally, pages are initialized with a free listrather than a separate bump pointer, avoiding special cases and enabling allocation by simply popping blocks from the free list. On x64, this code now translates into few instructions with just two uncommon branches:

mi_malloc: movq %rdi, %rsi ; rsi = size movq _mi_theap_default@GOTTPOFF(%rip), %rax movq %fs:(%rax), %rdi ; rdi = thread local theap cmpq $1024, %rsi ; size > MI_MAX_SMALL_SIZE? ja .LBB0_generic leaq 7(%rsi), %rax ; round to sizeof(void*) andq $-8, %rax movq 232(%rdi,%rax), %rcx ; rcx = heap->small_pages[index] movq 8(%rcx), %rax ; block = rax = page->free testq %rax, %rax ; block == NULL? je .LBB0_generic movq (%rax), %rdx ; page->free = block->next movq %rdx, 8(%rcx) incw 16(%rcx) ; page->used++ retq .LBB0_generic: jmp _mi_malloc_generic@PLT ; tailcall

Similarly, mimalloc provides a fast path for freeing blocks. In practice, most blocks are freed by the same thread that allocated the block. We can optimize that case by checking whether the current thread ID matches the thread ID stored in the corresponding mimalloc page. If so, we can just push our block on the page’s free list without requiring atomic operations or locks:

void mi_free(void* p) { mi_page_t* const page = mi_ptr_page(p); // get the page meta-data that contains p if (page==NULL) return; if (mi_thread_id() == page->thread_id) { // do we own this page? mi_block_t* const block = (mi_block_t*)p; block->next = page->local_free; // push on the `local_free` list page->local_free = block; if (--page->used == 0) mi_page_free(page); // is the entire page free? } else { mi_free_cross_thread(page, p); // free in a page owned by another thread } }

The mi_ptr_page function in the latest mimalloc v3 retrieves page metadata using an on-demand allocated map of the entire memory. In earlier versions this was faster using alignment tricks. However, in practice, invalid pointers are often passed to mi_free when overriding free globally.  

Using a separate map enables such cases to be detected efficiently and return NULL when the pointer is invalid. In particular, mi_ptr_page(NULL) == NULL, which avoids an extra branch by testing only if the page is NULL. Additionally, used count is used to efficiently detect when all blocks in a page have been freed. 

When a block is freed across threads, we enter the mi_free_cross_thread function—the first path that requires atomic operations: 

void mi_free_cross_thread(mi_page_t* page, mi_block_t* block) { mi_block_t* tfree = mi_atomic_load(&page->thread_free); // head of the thread free list do { block->next = tfree; // push our block in front } while (!mi_atomic_compare_and_swap(&page->thread_free, &tfree /*expect*/, block /*new*/)) }

The block can be freed by pushing it onto the thread-free list of the page. Since this is multi-threaded, it requiresan atomic compare-and-swap operation to push the block atomically. Still, on modern hardware such operations are efficient when uncontended, as their operation is integrated with the cache coherence protocol (MOESI).

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There are three free lists per page: the free list for allocations, the local_free list for freed blocks, and the thread_free (atomic) list for blocks that were freed across threads. This guarantees that after a fixed number of allocations, the free list is exhausted, ensuring we occasionally take the slower generic allocation path. This is also used to clean up the free lists by moving thread-local and local free lists back to the main free list. (Note: Actual implementation requires more care to handle cases where the owning thread never allocates again or is blocked for a long time).

Thus, mimalloc has three free lists per (64 KiB) mimalloc page, and effectively that means that a program can easily have thousands of free lists. This is essential to the scalability and cache locality of mimalloc.

A height-balanced tree A randomized tree

For this design, we took inspiration from randomized algorithms. For example, to balance a binary tree we can use smart strategies based on weight or depth, and perform specific rotations to keep it balanced. Such algorithms are usually quite complicated. However, we can also simplify the process and randomly decide on splits during insertion, and by sheer chance, we also end up with trees that are balanced enough.

Similarly, many multi-threaded allocators rely on sophisticated concurrent data structures to synchronize access to shared free lists. In contrast, mimalloc uses a per-page thread-free list, where any thread can push a block using a simple atomic compare-and-swap.

Because there are thousands of such lists, the probability that multiple threads concurrently free blocks to the same page is low. As a result, most push operations are uncontended atomic updates.

By organizing these lists per 64 KiB mimalloc page, cache locality is improved, as allocation tends to stay within the same page until it is full, regardless of freed objects in other pages.

In contrast, consider a design with a single free list per thread or process. When allocating a new structure while freeing objects of the same size—a common pattern in workloads such as tree transformations—allocation may reuse recently freed blocks scattered throughout memory, leading to reduced locality.

Sharing between threads

There is a fundamental tension between scalability and efficient memory sharing between threads. To scale optimally, we would give each thread exclusive ownership to its own pages to minimize any thread synchronization. On the other hand, that may lead to wasted memory: suppose a thread has large quantities of free blocks and another thread needs to allocate blocks of that size –without being able to share or steal those pages, we need to allocate fresh memory instead. In the other extreme, we could share all pages between all threads with a single lock: now memory use is optimal, but we no longer scale. The following benchmark results illustrate this tension:

1.1x commit, 56 Gib total 4x commit, 262 GiB total 1.3x commit, 262 GiB Total

The benchmark runs many tasks for a fixed amount of time using the Windows thread pool with about 800 active threads. The tasks alternate between allocation, deallocation, and brief blocking periods, simulating typical service workloads. In the graphs, the blue line represents the total live data, while the red line represents total committed memory by the allocator. The ideal situation is to have the red line as close as possible to the blue line. This is almost the case for the first graph, which uses the standard  system allocator: at the end there is just 1.1x more committed than live data – an excellent result! However, over the benchmark duration, it allocated a total of only 56 GiB data.

Contrast that with another highly concurrent allocator in the second graph, which was able to allocate 262 GiB over the benchmark duration—almost 4x as much. However, it also committed 4x more memory than the live data. In real workloads with larger memory footprints, such a ratio can quickly become unacceptable. Here we see that the standard allocator didn’t scale as well, but showed better cross-thread memory sharing.

The final graph shows the most recent mimalloc allocator. Like the second allocator, it allocates 262 GiB over the benchmark duration, while reducing committed memory to 1.3xthe live data, which achieves scalability and efficient memory sharing between threads. Similar to work-stealing in modern thread pool implementations, mimalloc uses a “page stealing” technique, allowing threads to take ownership of pages without expensive cross-thread synchronization.

These improvements were made in close collaboration with the Azure Cosmos DB team at Microsoft. A precise description is beyond the scope of this blog, but we will publish a technical report soon—stay tuned.

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The post mimalloc: A new, high-performance, scalable memory allocator for the modern era appeared first on Microsoft Research.

In partnership with The Home Depot, RIDGID has announced an all-new, powerful yet compact cordless 18V power tool lineup to take on Ryobi, Milwaukee, DeWALT, and more. It's called the RIDGID NUKE Subcompact.

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May is the best time to focus on yourself. The weather's warming up, some of you are graduating or starting new chapters, and the vibes (pun intended) are just generally good. It's no wonder Good Vibrations established National Masturbation Month in May 1995. (This was shortly after Bill Clinton, of all people, fired U.S. Surgeon General Dr. Joycelyn Elders for suggesting masturbation should be taught in sex ed. High school probably would have been a lot easier if it were, but I digress.)

SEE ALSO: I've tested 100+ sex toys. Here are the 15 most mind-blowing toys I've ever owned.

If you're looking for an excuse to buy a new sex toy ("just because" is also a very valid reason!), I've got about 15+ of them below. In honor of Masturbation May, I've tracked down all the best deals you can shop right now. From vibrators and dildos to clitoral suction devices and male sex toys, this is a comprehensive list of where to get your rocks off for less.

Best overall Opens in a new window Credit: biird Namii 2 $119 at biird
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OK, story time: About seven months ago, biird (one of my all-time favorite sex toy brands) removed the original Namii from its website. No warning, no email to explain why. The rumors were out there, of course, citing "legal reasons," but that's all I heard. Well, the drought is over. The Namii 2 (the upgraded version of the original) is available not only on the biird site but on Hello Nancy, too — and it's on sale! (Side note: Hello Nancy also carries my second-favorite clitoral suction toy, so it's a great place to browse.)

The Namii 2 will change your life. It feels like butterfly kisses on your vulva, and you'll never want to put it down. I can literally play with this toy for hours (or at least until it dies). It's a wonderful way to get wet before sex or to just enjoy yourself in the moment for a slow-burn solo sesh. Right now, you can get it for $119 (a little steep, I know, but trust me, it's worth it).

Honorable mention Opens in a new window Credit: Foria Intimacy Melts with CBD $16 at Foria
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This isn't a sex toy, but it did help me a lot before my second endometriosis surgery. If you haven't heard of Foria, you definitely need to read up. The brand specializes in creating plant-based products (read: cannabis) specifically for people with pelvic pain.

Foria has helped me through so many painful moments and genuinely helped me fall back in love with intimacy. When the company first started advertising, I decided to try their Intimacy Melts with CBD, and they literally melted my pelvic and back pain away enough for me to relax for penetration and intimate touch in general. Right now, you can get them (plus everything else on their site) for 25% off, no promo code needed.

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The MCU has put Vision (Paul Bettany) through the ringer.

He died (twice!) in Avengers: Infinity War. Then, his grieving wife Wanda Maximoff (Elizabeth Olsen) resurrected him and threw him into WandaVision's many sitcom parodies. As if that weren't enough, WandaVision also introduced White Vision, who was created by S.W.O.R.D. to kill both Vision and Wanda.

SEE ALSO: 'Spider-Man: Brand New Day' trailer: Tom Holland yearns for Zendaya in action-packed first look

Instead of destroying each other, the Visions had a philosophical discussion about identity, after which resurrected Vision passed his memories and those of the original Vision on to White Vision. Now viewing himself as Vision, instead of S.W.O.R.D.'s weapon, White Vision flew off, never to be seen again in the MCU... until now.

Vision returns in Marvel's VisionQuest, coming this fall to Disney+. Here's everything you need to know about the upcoming series, from its plot to its release date.

What is VisionQuest about?

White Vision's identity crisis continues in VisionQuest, which sees him struggling to connect with the memories he gained at the end of WandaVision. As he goes on a reality-bending journey to understand who he truly is, he encounters personified versions of other programs that Tony Stark (Robert Downey Jr.) created. Footage from Marvel's 2025 New York Comic Con panel revealed these programs to include Henry Lewis as Dum-E, Jonathan Sayer as U, James D'Arcy as J.A.R.V.I.S., Orla Brady as F.R.I.D.A.Y., and Emily Hampshire as E.D.I.T.H.

James Spader returns to the MCU as Ultron in VisionQuest.

These programs aren't the only AI popping up in VisionQuest. Avengers villain Ultron (James Spader) is also back, albeit in a very different way. Spader isn't voicing Ultron's terrifying robotic body anymore. Instead, he'll be appearing in the flesh. During VisionQuest footage played during Disney's 2026 Upfront presentation, VisionQuest's take on Ultron seems more like a fatherly mentor figure than a sinister adversary. Perhaps he's just a figment of Vision's imagination, conjured up to guide him through his memories.

Who is in VisionQuest?

In addition to Paul Bettany and James Spader, VisionQuest also stars Todd Stashwick, T'Nia Miller, Emily Hampshire, Orla Brady, Henry Lewis, Jonathan Sayer, and James D'Arcy.

Ruaridh Mollica also stars in a role that will get WandaVision fans excited. He plays Tommy Maximoff, Wanda and Vision's speedster son. His twin brother Billy, also known as Wiccan, appeared in Agatha All Along, played by Joe Locke.

What is VisionQuest's release date?

VisionQuest hits Disney+ Oct. 14, 2026.

How to watch: VisionQuest premieres Oct. 14 on Disney+.

The name might be a mouthful of Os, Googlebooks could be Google’s biggest push yet into premium laptops. The devices are expected to compete directly with Apple MacBooks and Microsoft Surface hardware.

SAVE $140: The Blueair Mini Restful air purifier and sunrise alarm clock is on sale at Woot for $59.99, down from the normal price of $199.99. That's a 70% discount.

Opens in a new window Credit: Blueair Blueair Mini Restful $59.99 at Woot
$199.99 Save $140   Get Deal

It's a rough time to consider buying yourself something nice as a little treat. Prices for nearly everything are rising and plenty of us are focusing on saving instead of spending. But if you're looking for a small self-care treat, check out this deal at Woot.

As of May 13, the Blueair Mini Restful air purifier and sunrise alarm clock is on sale at Woot for $59.99, down from the normal price of $199.99. That's a 70% discount or a savings of $140.

If your bedroom could use some extra air purification, today's deal at Woot on the Blueair Mini Restful is your sign to make the upgrade. Not only is this an air purifier, it's also a bedside lamp with adjustable light control. Since it's dimmable, it's a great light to have on while getting ready for bed. That same light can serve as a sunrise alarm come morning. Just set your wakeup time in the app and the Blueair will gently simulate sunrise 15 to 30 minutes before your alarm.

SEE ALSO: With this $199.99 Amazon deal, you could get two Shark TurboBlade fans for the price of one Dyson fan

As if that wasn't enough, there's also the ability to play soothing sounds from the Blueair during the sunrise simulation. Plus, there's a USB-C port for recharging your phone or earbuds on the nightstand while you sleep.

The Blueair Mini Restful uses a HEPA filter that's said to remove up to 99.97% of allergens from the air like dander, dust, and pollen. In a 140 square-foot room, it'll be able to refresh the air in under 13 minutes.

Perfect for creating your bedroom sanctuary or for adding to the nursery, the Blueair Mini Restful is a versatile air purifier, light, and sunrise alarm clock. Snag it from Woot while it's just $59.99. But keep in mind Woot deals tend to sell out quickly, so buy this one now if you're interested.

Let's be honest—physical media are on life support. Clearly, people prefer the convenience of streaming services, and that's perfectly understandable, but it also means a huge number of TV and film fans who have forgotten (or never knew) how much better even standard HD Blu-rays can be.

The newly announced Googlebook laptops are starting to look far bigger than just another Chromebook experiment. While Google did not reveal the core hardware specs, Intel has now announced its partnership with the platform, calling them “premium, powerful devices designed for intelligence”. Notably, in a separate interview, Google VP John Maletis confirmed that Googlebooks will also ship with Qualcomm and MediaTek processors.

SAVE $1,330: The Jackery HomePower 3000 is on sale at Amazon for $1,169, down from the normal price of $2,499. That's a 53% discount that matches the record-low at Amazon.

Opens in a new window Credit: Jackery Jackery HomePower 3000 $1,169 at Amazon
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As the country heads into summer, plenty of us are making plans to enjoy the nice weather. But for those who live in an area prone to hurricanes, it's a good time to prep any items you might want to have on hand before a storm rolls in. If you've been eyeing a portable power station, there's a huge sale on a big model at Amazon.

As of May 13, the Jackery HomePower 3000 is on sale at Amazon for $1,169, marked down from the list price of $2,499. That's a 53% discount that shaves a major $1,330 off the price. It also matches the record-low at Amazon.

If you're in the market for a portable power station that's up for taking over during an outage, consider the 3,072Wh the Jackery HomePower 3000 offers. Like the name suggests, it's designed for keeping your home powered when grid power cuts out.

In addition to the convenience of over 3,000Wh capacity, it has a stead output of 3,600W and a surge all the way up to 7,200W. According to Jackery, this model will be ideal for power outages that last up to two days, keeping essential appliances powered up like the refrigerator. Jackery lists the HomePower 3000 as being capable of running a WiFi router for over 65 hours, a fan for 60 hours, or the fridge for one to two days.

SEE ALSO: The Anker Solix F3800 portable power station is $2,000 off — score a free solar panel right now

If you head out on RV trips, the TT-30 port will be an asset, as is the ability for the station to recharge with up to 500W of solar panels. With standard AC recharging, expect to get back to a full charge in 2.2 hours. This model also has Jackery's ZeroDrain technology which means it'll retain 95% of its charge even if it's left sitting for a year.

Before a summer storm brews and threatens to cut power, get the Jackery HomePower 3000. It'll be ready to keep essentials powered up which waiting for the grid to return.

Models aren't good enough to work on their own, especially with all the nuance in bigger projects. Even while avoiding usage caps on Antigravity, you still need to give it your whole project for it to work. Basically, it feels like the only way to get a reliable AI agent for programming is through a paid extension. However, instead of paying someone else, you should run your own AI.

Gemini Intelligence is designed to handle tasks across your apps and be a more helpful AI agent. It could signal a wider shift in how we'll use our phones in the near future.