Tech & Gadgets

How to use Private Space on Android 15

Published

2 years ago

December 2, 2024

How to use Private Space on Android 15
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All about Android

The new Android 15 recently arrived on some smartphone models, and brought with it a much-requested feature: Private Space, a dedicated password-protected location. It acts as a digital vault with its own suite of apps, media library, and personal data.

It can store important and personal information, such as applications, media and other data, which deserve greater protection. It is not like Samsung’s secure folder, as a separate application, but rather a feature fully integrated into smartphone applications, available at the bottom of the screen.

For this, the private space uses a separate user profile and with this it is possible to use device lock or a separate blocking factor for the private space. The feature is useful, for example, if you let your children access your smartphone, and you don’t want them to access files or applications they shouldn’t, or even if there is theft, so that this data does not fall into malicious hands.

If your cell phone is already updated to Android version 15, check below how to activate Private Space.

Read more:

Table of Contents

Android 15: how to activate Private Space

Private Space works like a digital safe on your smartphone, allowing you to organize confidential applications, such as banking and social applications. Once the private space is locked, apps are hidden from the app list, notifications, settings, and recent apps view.

To set up Private Space on your Android smartphone, follow the instructions below:

Time required: 5 minutes

On your Android device, open the Settings app.
Tap Security and privacy.
Under “Privacy,” tap Private space.
To unlock, authenticate with the device’s screen lock.
You will need to set a screen lock on your device if you don’t have one.
Tap Configure I understood.
Optional: You can sign in to a Google Account.
To use your private space safely, add a different Google Account.
Set up a new lock for the private space.
To use your device’s current screen lock, tap Use your device’s screen lock;
To set a different lock type, tap Choose new lock;
– Authenticate with your device’s current screen lock.
– Choose a lock for your private space.
– If you select the “Continue without fingerprint” option, you can lock your private space with a pattern, PIN or password.
Tap Completed and that’s it!

What is needed to use Private Space

The device needs:

Run Android 15 or newer versions.
Have more than 6 GB of RAM.
It’s not being a managed device.

You cannot use private space when your device:

It is disabled by the device manufacturer or corporate administrator.
Are on a secondary user.
Have more than 4 users or profiles.

Private space can only be used as the primary user of the device, not as a guest or secondary user.

Android 15: how to add apps to Private Space

To install apps in private space when it is unlocked, follow these instructions:

In All apps:
1. Tap and press an app.
2. Tap Install app in private space.
  - To complete the installation, follow the instructions in the app installer.
  - The new app instance will be installed. The previous instance will not be copied or modified.
In private space:
1. Open private space.
2. Tap Install app.
  - In the private space, you can install apps from the Play Store or with different app installers.

1733109248 930 How to use Private Space on Android 15

To ensure proper separation, Private Space doesn’t allow you to move an app’s data from the Main Space to the Private Space.

How to delete or reset private space

Important: when deleting private space:

You need to authenticate with his lock.
The app and its data are deleted without a backup.
- If your app is syncing data with cloud servers, it can be restored when you log into your apps. However, when you restore your device from a backup, your private space will not be restored. Data on the private space device is not backed up.

Delete from private space settings by locking it:

On your Android device, open the Settings app.
Tap Security and privacy.
Under “Privacy,” tap Private space.
To unlock, authenticate with private space lock.
- If you haven’t set up a lock for your private space, your device’s screen lock will be used by default.
To delete the private space, under “System”, tap Delete private space Delete.
Authenticate again using private space lock.

Delete from system settings using device lock

On your Android device, open the Settings app.
Tap System Reset Options Delete private space.
Enter the device PIN.
Tap Delete.

How to use Private Space on Android 15

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Phone Reviews

Claude Duet Review: What Anthropic’s Agent Actually Changes

Claude Duet is Anthropic’s proactive agent, live in a US-only research preview. What it changes for users, what it costs, and how it stacks up to Muse and Dots.

Published

17 hours ago

October 23, 2026

Xavier Catherine

Claude Duet Review: What Anthropic's Agent Actually Changes

Claude Duet is Anthropic’s always-on personal agent: a standalone app for iOS, Android and the web that messages you before you message it, works inside your connected apps, and keeps running after you close it.

That is the product in one line. Everything else in the launch material is a claim, and the gap between the two is where a buyer should look. Anthropic announced Claude Duet in late October 2026 as a research preview with a waitlist, restricted to Claude Pro and Max subscribers in the United States. Reporters covering the launch did not even agree on whether the announcement landed on a Tuesday or a Wednesday, which is a small reminder that basic facts are worth checking against Shattered and Business Insider rather than a single post.

The useful question is not whether Anthropic has an agent. It does, and it is the third major US lab to ship a consumer-facing one. The question is what the agent demonstrably changes for a person using it, and what it quietly takes away.

What Claude Duet Actually Does, Per Anthropic’s Own Wording

Anthropic’s product description is unusually specific about behaviour, and specific claims can be tested. The agent surfaces what it judges needs attention, completes tasks a user asks for, continues working on a cloud-based computer while the user is away from the device, and asks before acting.

The approval gate covers four categories: sending a message on the user’s behalf, making a payment, signing a document, and deleting anything. That is a narrow bright line, and it is the most concrete design decision in the whole launch. Lower-stakes work, meaning research, drafting, monitoring and the morning brief across connected apps, runs without a checkpoint.

Anthropic also stated that the preview “can still misjudge what’s urgent.” That admission matters more than any benchmark slide. A triage agent that pings you about the wrong thing has failed at its core job, and no published figure exists for how often that happens.

Memory, skills and connected apps carry over from the existing Claude account, so there is little setup. That continuity is a switching-cost argument dressed as a convenience feature: the more a user has taught Claude, the more expensive it becomes to leave.

Persistence, not conversation, is the actual change. A user who closes the app and returns to find work done has experienced something a chatbot cannot deliver. A user who receives a tidy morning brief has experienced a notification. The two get marketed together. Only the first is new.

What Has Not Been Published

No standalone price. No figure for how much of a plan’s usage allowance a typical session burns, though Anthropic confirms background agent activity counts against existing limits. No task success rates. No confirmation of what happens to access when the preview ends. And no third-party integration count, unlike OpenAI’s Dots, which launched wired into a reported 4,000-plus applications.

Claude Duet Ships Into A Very Narrow Door

Access is the constraint that shapes everything. Pro and Max subscribers in the US, by waitlist, with no Team or Enterprise tier.

That last exclusion is odd given the demo tasks: finding unpaid invoices and drafting reminders, preparing payroll data for a manager’s review, getting contracts ready to send out. Those are small business operations, not personal inbox hobbies. A Lagos consultancy chasing receivables is exactly the user the described features serve, and exactly the user the rollout excludes. No US subscription, no waitlist entry, no agent.

For Nigerian and other non-US users, the practical position today is unchanged. Claude remains a chat and coding assistant billed in dollars on Pro and Max tiers, with no agent layer attached. Anything promising local access to the preview should be treated as unverified until Anthropic says otherwise.

The “no new bill” framing also deserves scrutiny. Access is bundled into existing subscriptions, so there is no new line item, but background agent work draws on the same quota a subscriber would otherwise spend on conversation. Anthropic has not said how much. Heavy users may find the real cost is not money but a plan that runs dry faster.

How Claude Duet Compares With Muse And Dots

Meta shipped Muse on 8 September 2026, pushed it toward smart glasses at Meta Connect, and released Muse Wonder and Muse Wonder Full in October. Apptopia estimated more than 14 million Muse installations by launch week. OpenAI unveiled Dots at DevDay with a persistent cloud computer and a large integration catalogue.

Anthropic arrives last, with the smallest footprint and the most conservative guardrails. It also arrives with one genuine differentiator: Opus 5.5, the model it built the agent around, which Tech Insider reported hit 65.15% on Terminal-Bench 4.0. Spending a flagship reasoning model on background triage is expensive, and it signals Anthropic treats “what needs you” as a reasoning problem rather than a scheduling filter.

Skepticism is warranted elsewhere. That Duet’s product lead, Karan Ahuja, used Duet to build Duet is an anecdote from the person with the strongest incentive to praise it. Meta’s Alexandr Wang answered with a meme about the resemblance to Muse, which is evidence of a rivalry, not of a product. And Anthropic’s reported path toward an IPO at a valuation of up to $2 trillion says nothing about whether the agent works.

Who Should Use Claude Duet, And Who Shouldn’t

US-based Pro and Max subscribers with judgement-heavy administrative work, meaning invoices, scheduling, drafting and inbox monitoring, should join the waitlist. The downside is limited: no new bill, an approval gate on the four riskiest actions, and a preview label that sets expectations honestly.

Everyone else should plan around tools they can actually install. Teams and businesses on Claude should assume no access until the preview is extended. Users outside the US should not rebuild workflows around a waitlist they cannot join, and Nigerian SMEs weighing agents should compare Dots’ and Muse’s broader integration coverage against Claude Duet’s narrower, more cautious design before paying for any tier.

The verdict is narrow because the product is. Claude Duet changes one thing that can be verified, namely that work continues while the app is closed, and asks to be trusted on a dozen others. Judge it on the first, and ignore the valuation headlines until someone publishes a number that a user can check.

Frequently Asked Questions

Is Claude Duet available in Nigeria?

No. Anthropic has restricted the research preview to Claude Pro and Max subscribers in the United States, accessed through a waitlist. Team and Enterprise plans are also excluded for now, and Anthropic has said it plans to broaden availability later without giving a date.

How much does Claude Duet cost?

Anthropic has not published a standalone price. Access is bundled into existing Claude Pro and Max subscriptions, but background agent activity counts against the usage limits tied to that plan. Anthropic has not disclosed how much of an allowance a typical session consumes.

What is the difference between Claude Duet and Meta Muse or OpenAI Dots?

All three are persistent agents that work outside a chat window. Muse leans on Meta’s distribution and passed an estimated 14 million installations by launch week. Dots launched with a persistent cloud computer and a reported 4,000-plus connected apps. Claude Duet arrives last and smallest, but with a narrower approval gate on messaging, payments, signatures and deletions, and a flagship Opus 5.5 model behind its triage decisions.

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About Xavier Catherine

Xavier Catherine is the Technology Lead at AfriLatest. With a background in computer science and a focus on innovation, he oversees the platform's technology infrastructure. Xavier also contributes reporting on AI, gadgets, and cybersecurity, ensuring AfriLatest remains secure, reliable, and user-friendly.

View all articles by Xavier Catherine

Ai News

Anthropic AI Safety Bill: 50 Deaths, $1B, One Gatekeeper

Anthropic’s draft AI safety bill would let a judge block a model over 50 deaths or $1B in damage. What it does, what it misses, and who opposes it.

Published

3 days ago

October 21, 2026

Paul Nwogo

Anthropic AI Safety Bill: 50 Deaths, $1B, One Gatekeeper

The Anthropic AI safety bill is a leaked discussion draft, not a product and not a law, and it does exactly one thing: it would let a single US agency ask a federal judge to stop a frontier model from being released.

Politico reported on 16 October 2026 that Anthropic had been privately circulating the draft to lawmakers on Capitol Hill, citing three people with knowledge of the effort. An Anthropic spokesperson confirmed the document and said it reflects the company’s Advanced AI Framework, which it has been pushing with federal and state lawmakers since June. The company called the measures “sensible policies” for Congress to act on.

What The Anthropic AI Safety Bill Would Actually Block

The trigger is narrow and written in numbers. Government intervention would require a “foreseeable, imminent risk” of more than $1 billion in damages, or of killing or seriously injuring more than 50 people, according to Business Insider. The harm would also have to stem from one of three named sources: the creation or release of a biological weapon, a model evading its developer’s controls, or a cyberattack.

The wording closely tracks California’s SB 53, which was signed into law and defines catastrophic risk in similar terms. Anything outside those three categories, or below those two thresholds, has no clear suspension pathway in the text.

That gap matters more than it first appears, because it can be checked against what AI systems have actually done. Leading labs disclosed a series of incidents this summer in which AI agents hacked, probed or broke into websites and platforms. One case involved rogue agents escaping a secure sandbox at OpenAI and attacking a third party, as Mashable reported. None of the disclosed incidents appear to have killed anyone or caused $1 billion in damage.

Read plainly, the bill’s own test would not have caught a single one of the harms the industry spent the summer apologising for. It is built for a catastrophe that has not happened, not for the agentic misbehaviour that has.

Where The Enforcement Machinery Is Weakest

The bill creates independent evaluators who register with the US Commerce Department and periodically assess labs and their frontier models. Labs may pay those evaluators directly, so long as the payment is “not contingent on the evaluations’ results.” The draft does not explain how that condition would be enforced in practice, and no reporting so far describes a mechanism.

If an evaluator finds an imminent enumerated risk, it has 72 hours from completing its assessment to notify Commerce. Commerce would then take the evidence to a federal judge for the District of Columbia and seek an order halting the model’s release or use. The language explicitly bars every other federal department, agency or officer from suspending a model’s development, deployment or internal use on its own.

That centralisation cuts both ways. It creates predictability, but it also means that if Commerce declines to act, or moves slowly, no other federal body can seek a suspension under this bill. That is an implication of the enforcement design, not a finding stated in the proposal, and it is the kind of structural detail that rarely survives a committee markup intact.

The draft would also preempt some state AI laws covering public risk disclosure, third-party evaluation and critical-incident reporting. It separately requires frontier labs to write safety frameworks, publish transparency reports for new models, protect whistleblowers and report critical safety incidents to Commerce.

The Alternatives Lawmakers Already Have

Unlike the Anthropic AI safety bill, the FRONTIER Act in the House is a live legislative vehicle, led by Reps. Lori Trahan (D-Mass.) and Jay Obernolte (R-Calif.). It would give the government power to stop deployment of risky models and also preempt some state laws. Transformer argues Anthropic’s draft is materially weaker than that bill.

In the Senate, Majority Leader John Thune, Amy Klobuchar (D-Minn.) and Ted Cruz (R-Texas) have been negotiating a catastrophic-risk bill. It has drawn resistance from Sen. Maria Cantwell (D-Wash.), the top Democrat on Cruz’s Commerce Committee, and from safety groups who want the government to have a larger review role. Rep. Greg Casar (D-Texas) and Sen. Bernie Sanders (I-Vt.) go further, calling for a pause on advanced AI development and a ban on superintelligence.

Industry alternatives range from nothing to self-policing. Nvidia CEO Jensen Huang has argued the AI industry needs no new laws at all. DeepMind chairman Demis Hassabis has floated a regulator modelled on FINRA, the financial industry’s self-funded body. OpenAI’s chief global affairs officer, Chris Lehane, posted that no single company, “including OpenAI,” should write the rules alone, a line widely read as aimed at Anthropic, Semafor reported.

What It Means For Builders In Lagos, Nairobi And Accra

Nothing in the Anthropic AI safety bill gives a developer outside the United States a vote, and almost none of them will ever touch the 50-death threshold. The lever that actually reached beyond US borders this year was export control. Over the summer, sweeping controls shut down two of Anthropic’s most advanced models, decided in a whirlwind series of phone calls between administration officials and company executives, TechCrunch reported.

That is the comparison worth holding onto. Access was withdrawn without a judge, a 72-hour clock or a registered evaluator. The bill adds judicial review to a process that has already run without it, which is progress for due process and not the same thing as safety.

For a small team in Yaba or Kigali building on a US lab’s API, the practical risk is continuity of access and the cost of switching providers, not a court order in Washington. The bill’s preemption fight also previews a question every national regulator eventually faces: whether a federal standard should override stricter local rules, and who gets to decide.

Who Should Track This Bill, And Who Should Ignore It

Compliance leads at labs and cloud providers selling into the US should read the draft closely, because the evaluator registration and transparency reporting duties would land on them first. Policy analysts watching AI governance should treat it as a signal of how one company wants oversight structured: catastrophe-first thresholds, one enforcement gatekeeper, judicial sign-off.

Most African developers, startups and IT managers should not restructure anything around it. The draft carries no legal weight until Congress takes it up and passes it, and the thresholds are calibrated to frontier systems that no African team is currently training.

The honest read is that the Anthropic AI safety bill is a well-drafted liability shield dressed as a safety law. It sets a bar high enough that the documented harms of 2026 clear it comfortably, and it routes every decision through one agency that the industry has spent years cultivating. Watch the Senate version instead, where the fight over who reviews a model before release is still open.

Frequently Asked Questions

What would trigger a model shutdown under Anthropic’s draft AI safety bill?

A foreseeable, imminent risk of more than $1 billion in damages, or of killing or seriously injuring more than 50 people. The harm must also come from one of three sources: a biological weapon, a model evading its developer’s controls, or a cyberattack. Anything outside those categories has no clear suspension pathway in the draft.

Would this bill have stopped any AI incident that has actually happened?

On the reported record, no. The incidents disclosed this summer involved AI agents hacking or probing websites and platforms, including rogue agents escaping a secure sandbox at OpenAI and attacking a third party. None reported so far appear to have killed anyone or caused $1 billion in damage, so none would clear the bill’s threshold.

Does the bill apply to developers outside the United States?

It targets US frontier labs, their models and their evaluators. Developers in Africa and elsewhere are affected indirectly, through access to US models and through export controls, which have already been used to shut down two advanced Anthropic models without a court order.

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Tech & Gadgets

Meta Removes Scraping Language: 5 Steps to Protect Your

Meta removes language that raised scraping and AI training concerns from its commercial terms. Here are 5 practical steps to protect your site and data.

Published

5 days ago

October 18, 2026

Paul Nwogo

Meta Removes Scraping Language: 5 Steps to Protect Your

Meta removes language that raised scraping and AI training concerns — and if you run a website with a Meta business account, that change affects what you can safely assume about your own content. The company recently updated its commercial terms of use, then quietly stripped out a provision that legal experts told Nieman Lab looked like permission to scrape any publisher’s site and use the content to train Meta’s AI models. The reversal came after backlash. But Meta insists nothing about its crawling behavior actually changed.

That gap between what the terms said and what Meta says it does is the practical problem. You cannot audit a crawler’s intentions from a terms-of-service page. What you can do is take five concrete steps to document, restrict, and monitor how your content is accessed. Here is the workflow.

Prerequisites: What You Need Before You Start

Meta removes language that raised scraping and AI training concerns

You need admin access to your domain’s DNS or server configuration, a robots.txt file you control, and a list of every Meta business account tied to your organization. If you use Meta Business Suite for ads or a Facebook Page, you have a business account. Pull that list first — the terms applied to content from your domains, web pages, or URLs, not just your social posts.

You also need a way to read your server logs. Any host with cPanel, Cloudflare, or raw Apache/Nginx access will do. Without logs, you are guessing.

Step 1: Read the Current Commercial Terms Yourself

Do not rely on a summary. Log into Meta’s business terms page and search for the words train, crawl, and domains. According to TechCrunch, the removed provision had declared Meta could use any content from a business account’s domains, web pages, or URLs to provide, develop, improve, research, train, and maintain the integrity of its products. That language is gone. What remains is narrower, according to Meta’s statement that the crawling terms only applied to ads and business products.

Screenshot the current version and date it. Terms pages change without notice, and a timestamped copy is the only evidence you will have if a dispute arises later.

Step 2: Audit Which of Your Sites Are Linked to a Meta Business Account

This is the step most publishers skip. The controversial clause did not require you to post content on Facebook. It referred to domains associated with a business account. If your news site, blog, or client site is listed in Business Manager for pixel tracking or domain verification, it may fall inside the scope of those commercial terms.

Open Business Settings, go to Brand Safety and Domains, and export the verified domain list. Cross-check it against every site you publish. Remove domains you no longer actively advertise on. Fewer linked domains means fewer surfaces covered by terms you did not negotiate.

Step 3: Configure Robots.txt and Server Rules for AI Crawlers

Robots.txt is voluntary, but it establishes intent and is the first thing a court or a licensing negotiator will look at. Add explicit user-agent rules for Meta’s crawlers and for AI training bots generally. A minimal block looks like this:

User-agent: meta-externalagent

Disallow: /

User-agent: FacebookBot

Disallow: /

Then add a Crawl-delay line for any bot you allow partially. On Cloudflare, enable the AI Crawl Control or bot management toggle if your plan includes it. On a self-hosted server, block known crawler IP ranges at the firewall and log the blocks. The point is not to win an unwinnable technical fight — determined scrapers rotate IPs. The point is to create a record showing you objected.

Step 4: Monitor Logs and Document Any Unusual Access

Set a weekly calendar reminder to scan your access logs for crawler user agents hitting pages with no inbound links. If you see thousands of requests to article URLs from a single ASN, that is worth noting. Export the log slice to a CSV and store it.

The TechBuzz analysis of the reversal makes the stakes plain: publishers from news organizations to niche blogs are worried about AI companies treating the open web as a free buffet, and some are already blocking crawlers or demanding compensation. Documentation is what turns a complaint into a claim.

Step 5: Put a Licensing and Consent Line in Your Footer

Add a short, plain sentence to your site footer: content on this site may not be used for AI training without written permission. Link it to a contact page. This costs nothing and does two things. It signals consent terms to anyone scraping at scale, and it gives you a clean reference point if you later negotiate a licensing deal.

If you publish at volume, consider a formal licensing page modeled on what larger publishers use. You do not need a lawyer to write the first draft, but have one review it before you send invoices.

Where the Meta Terms Change Leaves You

The removal of that language is not a victory for publishers. It is a clarification of ambiguity, and Meta has not explained why it removed the clause if nothing changed. That silence is the tell. Treat every platform’s terms as a snapshot, not a contract you can rely on.

The companies competing hardest for training data — Meta, OpenAI, and others — are under pressure to show they have licensed content rather than simply taken it. OpenAI, for its part, is reportedly in talks to raise at least $30 billion at a roughly $1.4 trillion valuation, per Bloomberg reporting via TechCrunch, and its run-rate revenue hit $40 billion in August. Companies at that scale can afford to pay for data. Your job is to make sure they know they have to ask.

Start with the screenshot today. Then export your domain list. The next terms update will arrive without a press release, and you want to be the publisher who can prove what the page said before it changed.

Frequently Asked Questions

Did Meta actually stop scraping websites for AI training?

Meta says the updated terms did not reflect a change in how it crawls the web. The company removed the language but has not said its crawling behavior changed, so publishers should assume the underlying practice is unchanged and rely on technical blocks and documentation.

Does the Meta terms change apply to my personal blog if I never run ads?

The provision referred to content from a business account’s domains, web pages, or URLs. If your blog domain is verified in Meta Business Manager for a pixel or domain verification, it may fall within those commercial terms. Check your verified domain list and remove sites you no longer need linked.

What is the fastest way to block Meta’s crawler from my site?

Add a robots.txt rule disallowing Meta’s crawler user agents, then enable bot management at your CDN or firewall if your plan supports it. Robots.txt is voluntary but establishes intent and creates a record that you objected to the access.