logo
7 ways OnePlus can make Mind Space actually useful

7 ways OnePlus can make Mind Space actually useful

Dhruv Bhutani / Android Authority
With relatively compact flagships making a quiet comeback, it's no surprise that OnePlus wants in. The compact-sized OnePlus 13s, exclusive to India, is the company's latest effort to strike a balance between size, premium hardware, a few calculated compromises, and a fair price point. It gets close, too, with a Snapdragon 8 Elite chipset, a hand-friendly 6.3-inch display, and a large battery. It also brings with it the new Plus Key and a renewed focus on AI. To be fair, OnePlus has been talking about AI for a while, just like every other smartphone brand, but the 13s feels like the first time it's trying to make it central to the user experience.
Mind Space feels more like a bookmarking tool than an AI assistant.
That shift is anchored by the Plus Key, a hardware shortcut for triggering an assortment of shortcuts like profiles, flashlight, camera, and, of course, AI-powered features. Among them is Mind Space, a tool meant to help users save and organize whatever's on their screen. It's not a huge leap from Pixel Screenshots, what Nothing is doing with Essential Space, or what several productivity apps have experimented with, but Mind Space, paired with the Plus Key, shows potential as a digital memory bank for screenshots, copied text, and other snippets. In theory, it's helpful. In practice, it still feels half-baked.
Mind Space needs a better way to organize information
Dhruv Bhutani / Android Authority
The idea behind Mind Space is simple enough. Tap the Plus Key or trigger a gesture if you're on a device like the OnePlus 13 that doesn't have a Plus Key, and you can capture whatever you're viewing on your screen. A website, an image, a paragraph, even part of an interface, and send it to a central interface. OnePlus uses on-device AI to analyze and sort your content into different categories. It's a feature clearly designed for the way we actually use our phones in 2025. In the information overload era, we're all grabbing things to revisit later, whether it's a recipe, a product link, a boarding pass, or something you don't have time to read in the moment. The problem, though, is that Mind Space doesn't go far enough yet.
This could be a genuinely useful tool for people who live online. It just isn't there yet.
My first gripe is a rather big one, but I seriously think the interface needs a rethink. Right now, it's more of a linear dump than an organized system. Everything you capture gets listed chronologically with minimal sorting. You can filter by content source, but that's about it. There's no tagging, no folders, no smart grouping beyond the source — a feature Pixel Screenshots handles a bit better. Mind Space would benefit from automatic categorization. In fact, this should have been a default feature given the use of an on-device LLM. Receipts, personal notes, ideas, screenshots from social media, even website summaries, with manual overrides for people who want control, is what I want to see. If it's going to be a space for managing everything you've captured, it needs to offer more than a feed.
Dhruv Bhutani / Android Authority
Search is another weak point. The AI can extract some context, but it's hit or miss. Search for 'laptop deals,' and it might find your saved screenshot from Amazon, or it might not. Search by date or vague context, and the results get even more inconsistent. A proper semantic search engine that understands what you meant, not just what you typed, would go a long way. The OCR functionality shouldn't just dump information from a page. It should summarize and categorize it better. I understand this is just the first iteration of the app, but it needs these features to build an audience and critical mass. I'd love the ability to use Mind Space to build a collection of must-reads shared by Instagram booktok creators, but it can't. Or how about summarized versions of interesting articles? At the moment, all I get is a link, author information, and publication date. That's not very helpful for a summarization tool.
For a feature positioned as a personal productivity tool, it's oddly disconnected from the rest of the phone.
Automation is another area where Mind Space could grow. Right now, everything requires a manual trigger. But the potential here is in passive capture. If the system notices I've copied the same text multiple times, it could offer to save it. If I'm always taking screenshots of recipes or Instagram ads, it could automatically tag and sort them into collections. OnePlus has on-device AI running anyway, so why not let it anticipate my behavior and suggest captures or even actions based on what I'm saving? Taking it one step further, voice input would also help. If I could say 'remember this restaurant' or 'save this address for later' and have the AI find and store relevant content, it would make Mind Space feel more like a true assistant. There's no reason voice couldn't be part of the interface, especially when other OEMs are moving quickly to layer voice control across their AI features.
Next, there's no cloud syncing. As niche as my gripe sounds, it is critical to the way I wrangle information. Mind Space is entirely local, which means everything I save lives only on my phone. Switch devices, lose the phone, or try to work across a tablet or laptop, and all that captured content is gone or inaccessible. If OnePlus is serious about building an AI-powered memory system, it needs to offer a way to securely back up and sync Mind Space across devices. Even better, a web or desktop client would let users organize and act on saved content outside the phone. Until then, it's not really a memory system. It's just a temporary locker.
Dhruv Bhutani / Android Authority
Then there's the walled garden problem. Mind Space doesn't connect meaningfully with other apps or services. I can't export content to Google Drive or send it to my Notes app. The only cross-app integration I've come across so far is the ability to create calendar events. As convenient as that is, it's not enough. For a feature positioned as a personal productivity tool, it's oddly disconnected from the rest of the phone. OnePlus should think seriously about app integrations, whether that's through deep linking, system-level shortcuts, or a proper API that lets developers hook into Mind Space.
Exporting is a pain point, too. Once something is in Mind Space, getting it out isn't easy. There's no bulk export and no way to send content to third-party apps in a structured format. For users who want to write up notes in Docs or track saved items in a spreadsheet, Mind Space is a dead end. A proper export feature, even if limited to standard formats like PDF or markdown, would make the tool more useful in everyday workflows.
Privacy is another concern of mine. While OnePlus says most of Mind Space's AI runs on device, there's no real transparency around what data is stored, how long it's retained or what happens when you delete something. For a feature designed to capture all kinds of personal information, that's a problem. A dedicated privacy panel with toggles for data retention, syncing if ever introduced, and analysis history would help build trust.
Most of all, if OnePlus is really serious about this, Mind Space needs to be more than just a scrapbook. Give it some structure. Let users add checklists or reminders to saved content. Show clippings in the context of a timeline. What you saved, when and why. Maybe even surface recurring themes over time. If someone keeps saving screenshots about an upcoming trip, that's probably worth surfacing as a smart folder or project. These are the kinds of use cases that AI excels at.
Mind Space is close, but not quite essential
Dhruv Bhutani / Android Authority
Look, I like what OnePlus is trying with Mind Space. It's a genuine problem for users like me who consume a copious amount of information every day. But for it to succeed, Mind Space should feel personal. Not just in what it saves, but how it evolves. If a user tends to clip content during work hours, prioritize showing those items first. If someone mostly saves social media posts and shopping links, maybe offer price tracking or AI summaries, or extract more information like the booktok example I mentioned earlier. This isn't out of the realm of possibility, as dedicated apps already let you do that.
Right now, Mind Space feels like a concept in public beta. A good concept, but still a concept. It's not useless, but it's also not packing enough utility to build a workflow around. That could change. The foundation is solid, the hardware support is already there, and the broader trend toward AI-first experiences is only picking up speed. But for Mind Space to matter, OnePlus needs to treat it as more than a checkbox on the feature list.
Right now, Mind Space feels like a concept in public beta. A good concept, but still a concept.
Mind Space has to become a key part of how people use their phones every day. When paired with OnePlus's excellent tablets for content consumption, I could see this being a compelling reason to shift to the company's ecosystem. But it's not there yet. If OnePlus wants to build an ecosystem that's smarter, more contextual, and more personal, this is the right place to start, but it's got its work cut out for it.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

From Cognitive Debt To Cognitive Dividend: 4 Factors
From Cognitive Debt To Cognitive Dividend: 4 Factors

Forbes

timean hour ago

  • Forbes

From Cognitive Debt To Cognitive Dividend: 4 Factors

Benjamin Franklin portrait and light bulbs idea concept on white background When an eye-catching (not yet peer reviewed) MIT Media Lab paper — Your Brain on ChatGPT — landed this month, the headline sounded almost playful. The data are anything but. Over four months, students who leaned on a large-language model to draft SAT-style essays showed the weakest neural connectivity, lowest memory recall, and flattest writing style of three comparison groups. The authors dub this hidden cost cognitive debt: each time we let a machine think for us, natural intelligence quietly pays interest. Is it time to quit the AI train while we still can, or this the moment to adopt a more thoughtful yet pragmatic alternative to blind offloading? We can deliberately offset cognitive debt with intentional mental effort, switching between solo thinking and AI-assisted modes to stretch neural networks rather than letting them atrophy. Drawing from insights into physiology, this might be the moment to adopt a cognitive high-intensity interval training. To get started think in terms of four sequential guardrails, the 4 A-Factors — that convert short-term convenience into the long-term dividend of hybrid Intelligence:. Attitude: Set The Motive Before You Type (Or Vibe Code) Mindset shapes outcome. In a company memo published on 17 June 2025, Amazon chief executive Andy Jassy urged employees to 'be curious about AI, educate yourself, attend workshops, and experiment whenever you can'. Curiosity can frame the system as a colleague rather than a cognitive crutch. Before opening a prompt window, write one sentence that explains why you are calling on the model, for example, 'I am using the chatbot to prototype ideas that I will refine myself.' The pause anchors ownership. Managers can reinforce that habit by rewriting briefs: swap verbs such as generate or replace for verbs that imply collaboration like co-design or stress-test. Meetings that begin with a shared intention end with fewer rewrites and stronger ideas. Approach: Align Aspirations, Actions And Algorithms Technology always follows incentives. If we measure only speed or click-through, that is what machines will maximize, often at the expense of originality or empathy. It does not have to be an either-or equation. MIT Sloan research on complementary capabilities highlights that pattern recognition is silicon's strength while judgment and ethics remain ours. Teams therefore need a habit of alignment. First, trace how a desired human outcome, i.e. say, customer trust, translates into day-to-day actions such as transparent messaging. Then confirm that the optimization targets inside the model rewards those very actions, not merely throughput. When aspirations, actions, and algorithms pull in one direction, humans stay in the loop where values matter and machines are tailored with a prosocial intention to accelerate what we value. Ability: Build Double Literacy Tools do not level the playing field; they raise the ceiling for those who can question them. An EY Responsible AI Pulse survey released in June 2025 reported that fewer than one-third of C-suite leaders feel highly confident that their governance frameworks can spot hidden model errors. Meanwhile an Accenture study shows that ninety-two per cent of leaders consider generative AI essential to business reinvention. The gap is interesting. Closing it requires double literacy: fluency in interpersonal, human interplays and machine logic. On the technical side, managers should know how to read a model card, notice spurious correlations, and ask for confidence intervals. On the human side, they must predict how a redesigned workflow changes trust, autonomy, or diversity of thought. Promotions and pay should reward people who speak both languages, because the future belongs to translators, not spectators. Ambition: Scale Humans Up, Not Out The goal is not to squeeze people out but to stretch what people can do. MIT Sloan's Ideas Made to Matter recently profiled emerging 'hybrid intelligence' systems that amplify and augment human capability rather than replace it.. Ambition reframes metrics. Instead of chasing ten-per-cent efficiencies, design for ten-fold creativity. Include indicators such as learning velocity, cross-domain experimentation, and employee agency alongside traditional return on investment. When a firm treats AI as a catalyst for human ingenuity, the dividend compounds: faster product cycles, richer talent pipelines, and reputational lift. 4 Quick Takeaways Attitude → Write the 'why' before the prompt; the pause keeps you in charge. Approach → Harmonize values and tools; adjust the tool when it drifts away from the values you believe in, as a human, offline. Not the other way → Learn to challenge numbers and narratives; double literacy begins with you. Ambition → Audit metrics quarterly to be sure they elevate human potential. Cognitive Debt Is Not Destiny Attitude steers intention, approach ties goals to code, ability equips people to question what the code does, and ambition keeps the whole endeavor pointed at humane progress. Run every digital engagement through the 4 A factor grid and yesterday's mental mortgage turns into tomorrow's dividend in creativity, compassion and shared humanistic value for all stakeholders.

AI's Biggest Threat: Young People Who Can't Think
AI's Biggest Threat: Young People Who Can't Think

Wall Street Journal

timean hour ago

  • Wall Street Journal

AI's Biggest Threat: Young People Who Can't Think

Amazon CEO Andy Jassy caused a stir last week with a memo to his employees warning that artificial intelligence could displace them. 'We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs,' he wrote. Nothing in his memo was shocking. Technological advances as far back as the printing press have eliminated some jobs while creating many others. The real danger is that excessive reliance on AI could spawn a generation of brainless young people unequipped for the jobs of the future because they have never learned to think creatively or critically.

Midjourney 推出首個 AI 影片生成模型 V1,正式進軍生成影片服務行列
Midjourney 推出首個 AI 影片生成模型 V1,正式進軍生成影片服務行列

Yahoo

time2 hours ago

  • Yahoo

Midjourney 推出首個 AI 影片生成模型 V1,正式進軍生成影片服務行列

雖然大家都經常玩 ChatGPT 的圖像生成功能,但說到元祖級、最強的 AI 圖像生成服務,必定是Midjourney,而他們在星期三宣布推出首款 AI 影片創作模型 V1,正式進軍生成影片服務行列。用戶只需上傳一張圖片或相片,就能自動生成一條約 4 – 5 秒長的影片。 上傳相片後,V1 可以很簡單地用自動方式生成影片,當然亦有提供一些設定讓用戶去調整,例如使用手動模式以文字描述想要加入的特定動畫效果,又或者調整鏡頭走向等。Midjourney V1 可由一張相片自動生成一條為 480p 解像度、約 5 秒長的影片,但其實用戶在生成後可延長影片四秒、最多四次,因此最長是可生成時長達 21 秒的影片。目前想體驗 V1 的話,每月USD $10 的 Basic 訂閱計劃就可以試用得到,而 USD $60 的 Pro 計劃與 USD $120 的 Mega 計劃用戶,則可在「Relax」模式下無限量地生成影片。Midjourney 表示將會在接下來的一個月內,重新評估影片模型的收費方案。 Introducing our V1 Video Model. It's fun, easy, and beautiful. Available at 10$/month, it's the first video model for *everyone* and it's available now. — Midjourney (@midjourney) June 18, 2025 Midjourney 對 AI 影片模型的期望,不僅於為電影領域影片提供補充素材(B-roll)或製作廣告。據 TechCrunch 的報導指,Midjourney 創始人大衛霍爾茲(David Holz)表示 AI 影片模型的下一步是建構出能夠「即時運行的開放世界模擬」的 AI 模型。現時 Midjourney 正處於與迪士尼與環球影業的侵權訴訟之中,會否成為新服務的絆腳石,屬未知之數。 更多內容: TechCrunch 迪士尼與環球影業聯合狀告 AI 製圖 Midjourney:「侵權與抄襲的無底洞」求償超過 5.9 億美元 古天樂 x AI!本地電影導入 AI 技術示範作,用 Google VEO 2 協助製高質影片 Google I/O 2025 | Google 的 Veo 3 AI 模型現在可以為影片生成搭配的音軌 緊貼最新科技資訊、網購優惠,追隨 Yahoo Tech 各大社交平台! 🎉📱 Tech Facebook: 🎉📱 Tech Instagram: 🎉📱 Tech WhatsApp 社群: 🎉📱 Tech WhatsApp 頻道: 🎉📱 Tech Telegram 頻道:

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store