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New Complimentary App Streamlines File Exchange from Android Devices

connect through USB using a physical cable or flash drive. However, these approaches aren’t exactly the epitome of convenience. They require more steps than needed, and by the time you retrieve your files, you’ve already squandered a few valuable minutes.

If only there existed a more straightforward method to transfer files from any Android device to any computer, regardless of its brand and operating system. Fortunately, such a solution does exist, and it’s one of the must-have Android productivity applications you ought to download. Appropriately named Nothing Warp, this app is created by the same developers behind the Nothing phone. However, it is not limited to Nothing phones and can function on any Android device as well as on any computer equipped with a Chromium-based browser, such as your PC, Mac, or Linux machine.

What makes Nothing Warp easy to operate is that the only applications required to share a file are your phone’s file management or photos app and the browser on your computer.

How does Nothing Warp function?

Divine, a Fresh Application Bringing Back Vine with Jack Dorsey’s Backing, Now Accessible on the App Store

### Vine Returns as Divine

Longtime users of social networks may recollect Vine, the short-form video platform that swiftly gained popularity following its launch in June 2012 and was promptly acquired by Twitter. Essentially, Vine permitted users to share looped videos lasting up to 6 seconds. It drew in artists and creators, amassing over 200 million active users by the close of 2015. However, after several years of stagnation, Twitter discontinued the app in 2017 while keeping its video catalog available until 2019. A significant portion of this catalog has now made its way back on Divine, a new application supported by Jack Dorsey’s nonprofit and Other Stuff.

The app was initially announced last year and remained in beta until today, when it officially launched on the App Store and Google Play. As noted by TechCrunch, the debut of this Vine revival stemmed from a rigorous reconstruction initiative, which entailed rebuilding the original archive from extensive backup files and reinstating related engagement data.

Evan Henshaw-Plath, a member of the Divine development team, articulated Divine’s journey to becoming a fully-operational, revitalized video social network, following the same principles of the original Vine platform: “It was genuinely the Viners who were like ‘no, no — this is far more significant than just nostalgia.’ The users expressed their desire for something akin to Vine that could reset social media and eliminate AI clutter. They urged us to take our time and get it right. And that’s precisely what we did.”

Another intriguing feature of Divine is its foundational technology, which utilizes Nostr, an open social media protocol that also has the backing of Jack Dorsey. TechCrunch reports that the Divine team is “exploring the integration of the open-source AT Protocol, which powers Bluesky,” and may also “incorporate the ActivityPub protocol, which underlies alternative social networks like Mastodon and Flipboard and is integrated into Meta’s Threads.”

For additional information about Divine, follow this link.

Contemporary Devices Influenced by 1980s Films

The ’80s were an incredible era for films, particularly within the sci-fi category. These movies featured numerous futuristic gadgets that offered audiences a glimpse into what the future could hold — you probably recall how these technologies seemed enchanting and made the 2000s feel so distant. Films like “Back to the Future,” “Runaway,” and various others showcased devices that many believed were impossible to develop at that time, yet some materialized and gained popularity in the years following.

If you grew up seeing these movies on an ’80s television, you understand that numerous predictions about what life would be like in the future never materialized. For those gadgets that did become reality, some arrived precisely as envisioned or in forms even more impressive than how they appeared in films. Others, however, came with certain constraints that the writers didn’t foresee, such as hoverboards requiring specialized tracks. Thus, while some technologies still have shortcomings, they transitioned from ’80s films into our everyday reality in various ways.

Self-tightening shoes

“Back to the Future Part II” debuted in 1989 and, in addition to continuing Marty McFly’s adventures, it attempted to forecast life in the then-far-off future of 2015. Some of those forecasts have aged better than others — and the self-tightening shoes are among the few to actually become a reality. What began as a brief visual effect on set transformed into an engineering feat that Nike ultimately accomplished.

During the making of “Back to the Future Part II,” Nike received an invitation to envision what footwear would resemble in 2015. In 2016, Nike unveiled a self-tightening rendition of the MAG model that McFly sported in the film, featuring sensors that recognized the presence of a foot and activated motors to adjust the laces. The inaugural functional model of that line was gifted to Michael J. Fox himself and his charitable organization.

Subsequently, this initiative led to the creation of the HyperAdapt 1.0, a product designed specifically for athletes that utilized the same self-tightening technology found in the MAG. The most affordable sneaker resulting from this initiative was the Nike Adapt BB from 2019, although due to its price and past software issues, the models failed to gain traction among the general population. Ultimately, the technology became real, but its popularity did not follow suit.

Floating skateboard

“Back to the Future Part II” stands out as a principal reference point when discussing ’80s technology that people wish were tangible. Another device featured in this film was the floating skateboard, which became a coveted item for many kids of that time — the concept of a flying skateboard was astonishing. In reality, a version of that device was indeed created, though not in the manner many anticipated.

In 2014, Greg Henderson came close to making this concept a reality by launching the Hendo Hoverboard on Kickstarter. Utilizing magnetic levitation technology, the board could hover above the ground and support a weight of up to 250 pounds. Tony Hawk gained attention by utilizing one of those boards during that period. Following that, Lexus attempted to penetrate the market in 2015 with its Slide, which was cooled with liquid nitrogen and could also float over magnetic surfaces.

The downside was that neither product reached commercial launch. Both were reliant on specially designed surfaces, which was a far cry from the freedom Marty McFly enjoyed on the streets of Hill Valley. Eventually, Hendo pivoted its maglev technology toward industrial uses. So, hoverboards do exist, but not in the form many envisioned back in the ’80s.

Wrist watches

Numerous films during the 20th century delved into the idea of possessing a powerful device on your wrist, with James Bond being one of the key figures to showcase it. In “Octopussy,” he was equipped with the Seiko TV watch, which was, in fact, a genuine product that the Japanese company had already introduced at that time. Thus, businesses had been contemplating something akin to a smartwatch for quite a while. However, contrary to its on-screen portrayal, the watch was not particularly practical.

For the small liquid crystal display to receive television channels, the user had to carry a bulky and weighty signal receiver in a pocket. Additionally, a cable connected it and ran inside the user’s clothing. Unsurprisingly, it didn’t prove very useful in daily life. Fast-forward to today, and even the most budget-friendly smartwatch brands can perform more intricate tasks and do so more efficiently than a Seiko TV from the ’80s. Companies like Apple and Samsung have capitalized on the miniaturization of electronic components to develop sophisticated devices, enabling users to make calls, track their health, and conduct transactions from their wrists.

Automated vacuum cleaners

If you own a robot vacuum cleaner, know that, in part, you are experiencing a future that Hollywood envisioned in the ’80s. Nowadays, multiple

Frequent Errors to Steer Clear of When Buying a Monitor or TV in 2026

major smart TV brand or display producer, you shouldn’t settle for a lower refresh rate as you will miss out on several advantages.

A high refresh rate on displays and televisions boosts your experience

Apple Scientists Create AI That Can Conduct Concurrent Idea Evaluations Prior to Delivering Responses

In a recently published paper, a group of Apple researchers presents an innovative framework that enhances LLM responses in mathematical reasoning, code production, and beyond. Here are the highlights.

## Diffusion and autoregression, harmonized

In a newly-updated study named [LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning](https://machinelearning.apple.com/research/ladir), Apple researchers, in collaboration with scholars from the University of California, San Diego, outline a fascinating method to boost the quality of responses generated by large language models (LLMs) within specific fields.

Previously, [we’ve touched on diffusion models](https://9to5mac.com/2025/10/13/apples-new-language-model-can-write-long-texts-incredibly-fast/), which produce text by processing several tokens simultaneously during each iteration, unlike autoregressive models, which build and predict tokens sequentially.

Apple has also examined diffusion models related to [protein folding prediction](https://9to5mac.com/2025/09/24/apple-simplefold-protein-folding-prediction-ai/) and [programming](https://9to5mac.com/2025/07/04/apple-just-released-a-weirdly-interesting-coding-language-model/), which is perpetually captivating.

In essence, LaDiR merges both methodologies: it uses diffusion in the reasoning phase and then produces the final output through autoregression.

Furthermore, it operates with multiple reasoning pathways simultaneously, each undergoing its own diffusion procedure, guided by a mechanism that encourages exploration of diverse options, thereby yielding a varied array of candidate responses.

They clarify that during the inference stage, when the model is formulating its answer to the user’s prompt, LaDiR creates a series of concealed reasoning blocks, each initiated as a random pattern (or noise) that is progressively honed into a more coherent step.

Once the model decides it has sufficiently reasoned, it transitions to generating the ultimate answer autoregressively, token by token.

A crucial aspect is that LaDiR can execute several of these reasoning paths simultaneously, with a mechanism that prompts it to investigate various alternatives to prevent premature convergence on a single idea, thus maintaining the objective of the approach.

Significantly, LaDiR is not a completely new model, but a framework that enhances existing language models. It modifies how they address problems rather than wholly replacing them.

## How LaDiR performs

In the research, the team implemented LaDiR on Meta’s LLaMA 3.1 8B for mathematical reasoning and puzzle-solving, and Qwen3-8B-Base for code production.

In mathematical benchmarks, LaDiR reached greater accuracy compared to current methods and exhibited superior performance even on more challenging, out-of-distribution tasks.

In code generation evaluations like HumanEval, LaDiR yielded more dependable outputs, surpassing standard fine-tuning by a significant margin, especially on more complex problems.

Moreover, in puzzle-like planning scenarios, such as the Countdown game, LaDiR examined a more extensive range of valid responses than any baseline model and identified correct solutions more consistently than all general-purpose baselines. However, it did not achieve the same level of accuracy on single attempts as a specialized task-specific model.

While some components of the LaDiR paper can be rather intricate, it is a valuable read for those interested in the mechanics of large language models and innovative strategies for enhancing text generation performance.

To access the complete paper, [click here](https://arxiv.org/abs/2510.04573).

Splatoon Raiders Preorders for Switch 2 Almost 20% Off

Nintendo recently announced a new pricing policy, which knocks $10 off the cost of digital versions of future first-party titles exclusive to the Nintendo Switch 2. Splatoon Raiders, for instance, is available for preorder ahead of its July 23rd release for $49.99 digitally or $59.99 for the physical edition. However, Walmart is the exception in […]