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The Merchant Identity Problem: How to Prove Legitimacy Online

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Online businesses struggle to build merchant identity. Consumers seem to be wary of merchants without a physical presence.

Despite the challenge, you can still run a successful online business. If you have been struggling to expand your client pool, this guide dives deep into the reasons you are struggling and how to solve your problems with checkout solutions and a reliable payment service provider.

Why Trust Is Fragile in Online Commerce

When customers can’t see the business in person, establishing long-term trust can be a challenge.

Lack of credibility

It is difficult to build online business credibility because users don’t know the real face behind the brand. Anonymity casts doubt about the authenticity of the products.

Imposter problem

Due to the lack of physical presence, a lot of online shops have to deal with impostors scamming customers and damaging their reputation.

Local rules

Some online shops do not disclose their operating country. The rules they follow may be different from your usual standards.

What Makes Legitimacy Hard to Prove

A website with a brand name is hardly legitimate. People are reluctant to believe in small online merchants for many reasons.

Unclear ownership

Online shop ownership is incredibly opaque. Most owners do not disclose their personal information, making the online shop very impersonal and questionable without a real face to answer for.

Lack of financial reports

Small-scale online merchants are not required to disclose financial information. The lack of transparency can cause customers to distrust the brand’s ethics and quality.

New businesses

New businesses without existing customers or reviews can find it substantially hard to prove their legitimacy. People have no way of understanding their history or financial background.

Trust Signals That Actually Matter to Customers

Verifying merchant identity online is complicated, especially if the merchant isn’t in the same country. Therefore, international merchants should offer extra comfort with these tips.

Transparent pricing

A clear price list is the first step to gaining consumer trust. People are more willing to engage with online merchants with transparent pricing than a shop with lots of hidden fees.

Consistent work

From delivery timeframe to customer service to product quality, consistency is key. Customers will only return if they have positive experience with the merchant before.

Clear policies

Terms and conditions, such as returns, refunds, personal data, or complaints policies, should be clearly listed. It can avoid disappointments and confusion for consumers, bringing up satisfaction rates.

Technical Proof of Legitimacy: Beyond the Surface Layer

Simply having a lovely UX is not enough. Customers need to know they are sending money to a real seller and that they are protected.

Licensing

Online merchants are still subject to local regulations. Check the government requirements for your industry to get the licenses needed for operations.

Data protection

A reputable online merchant must follow local regulations to ensure sensitive information is encrypted and protected. Customer information should never be sold or leaked to third parties for profit.

Business accounts

Setting up a business account adds authority to your brand. Instead of using your personal account, a professional business account with centralized financial reports shows better credibility for partners and banks.

The Role of Tiers, Badges, and Third-Party Verification Programs

When you are starting out, consider getting verified in several places to gain online merchant legitimacy.

Marketplace

Online marketplaces like Amazon, Etsy, and eBay are great places for sellers to begin. Buyers feel protected by the platform. Therefore, they are more willing to trust and try out unfamiliar brands.

Official certificates

For many niches, there are government-approved licenses to demonstrate authenticity. With a license, clients can rely on you to deliver quality products and services.

Industry verifications

Platforms like Trustpilot allow real users to review and make comments about the merchant. New customers may treat these reviews as the benchmark to whether the brand is trustworthy.

How Merchants Can Proactively Reduce Customer Doubt

These are a few simple steps you can take to gain customer trust.

Centralize financial management

Instead of using multiple accounts for payments and refunds, centralizing your financial needs can build greater trust and make transactions easier. Pick a payment service provider like PayDo to sort out your needs.

Prompt customer support

Having a 24/7 customer support team can significantly boost conversion rates. New and existing customers feel supported when they are interacting with a human.

Consistent performance

A business that always misses deadlines and has payment issues will drive suppliers and customers away. Formulate some backup plans so you can meet your targets anytime.

In conclusion

Online merchant legitimacy can be difficult to prove, but it is not impossible.

There are many ways merchants can reduce customer doubt and build a reputable brand online. Work with an established provider to deliver the smoothest shopping experience for your clients.

MiniMax’s M2.1: Frontier-Level Open-Source Model Excels in Multi-Language Coding, Mobile Dev, Agentic Workflows

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MiniMax, the fast-rising Chinese AI startup often dubbed one of the “AI Tigers,” has launched MiniMax M2.1, a significant upgrade to its sparse Mixture-of-Experts (MoE) model series.

The release, announced December 22, emphasizes real-world complex tasks, positioning M2.1 as a state-of-the-art open-source contender for coding, agent scaffolding, and enterprise automation—delivering performance that rivals or exceeds closed-source leaders like Claude Sonnet 4.5 and Gemini 3 Pro in key areas.

Founded in December 2021 by alumni from computer vision giant SenseTime (including CEO Yan Junjie), MiniMax has grown explosively, raising over $850 million across rounds, with a $600 million infusion in March 2024 led by Alibaba, pushing its valuation to $2.5-3 billion. Additional backers include Tencent, HongShan (formerly Sequoia China), and MiHoYo.

The company, which confidentially filed for a Hong Kong IPO targeting up to $700 million at an over $4 billion valuation, boasts 27.6 million monthly active users (as of September 2025) across consumer apps like Hailuo AI (text-to-video), Talkie (AI companions), and its Open Platform API. M2.1 builds on the October-launched M2—a 230B total / 10B active parameter MoE that topped open-source rankings on Artificial Analysis composites—by prioritizing usability in multilingual programming, native mobile development, office scenarios, and agent generalization.

Retaining the efficient architecture for low-latency inference (~100+ tokens/second on optimized setups), M2.1 offers API pricing at roughly 8-10% of Claude Sonnet while claiming 2x speed. Benchmark Highlights (independent and MiniMax-reported):Multi-SWE-Bench: 49.4% — industry-leading for multilingual tasks.

  • SWE-Bench Multilingual: 72.5% — outperforming Claude Sonnet 4.5.
  • SWE-Bench Verified: Up to 74.0% in agent frameworks (edging DeepSeek V3.2’s 73.1%).
  • VIBE (Visual & Interactive Benchmark for Execution): Aggregate 88.6% (new open-sourced benchmark using Agent-as-Verifier); standout 91.5% on VIBE-Web and 89.7% on VIBE-Android, surpassing Claude Opus/Sonnet in full-stack app generation with aesthetic and functional excellence.

Other gains include refined interleaved thinking for composite instructions, concise Chain-of-Thought outputs reducing token usage, and stable integration with tools like Claude Code, Droid, Cline, Kilo Code, Roo Code, BlackBox, plus context mechanisms (Skill.md, agent.md, Slash Commands). Beyond coding, M2.1 elevates general dialogue, technical writing, and non-technical responses with more structured, detailed outputs.

The model is immediately accessible via MiniMax’s API (text generation endpoint), integrated platforms (Kilo Code, Vercel AI Gateway, Ollama), and open weights on Hugging Face (MiniMaxAI/MiniMax-M2.1).

Recommended inference: vLLM/SGLang with temperature=1.0, top_p=0.95.

Community response has been electric: On X and Reddit’s r/LocalLLaMA, developers hailed M2.1 as a “beast at UI/UX design” with “clean” app prototypes in a few interactions, faster tool calling, and superior “vibe coding.”

Early tests show strong long-horizon reasoning and reduced bugs versus M2. Comparisons position it ahead of DeepSeek V3.2 and GLM 4.7 in aesthetics/mobile, while closing gaps with proprietary frontiers. MiniMax frames M2.1 as the “brain” for the agentic era, powering its MiniMax Agent platform for end-to-end tasks (administration, data science, finance, HR, software dev).

M2.1 accelerates democratization—offering elite coding/agent capabilities at an accessible scale as open-source Chinese labs (MiniMax, DeepSeek, Zhipu) dominate 2025 releases, challenging global incumbents and fueling AI-native workflows worldwide.

Gold Hits Record $4,525 While Bitcoin Lags – Peter Schiff Calls End of BTC Bull Run

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Gold has surged to a historic high of $4,525, reaffirming its status as a safe-haven asset at a time of mounting global uncertainty, while Bitcoin continues to struggle to regain bullish momentum.

The divergence between the two assets has reignited the long-running debate over Bitcoin’s role as “digital gold,” with longtime crypto critic Peter Schiff seizing the moment to declare that the Bitcoin bull run is over.

As investors reassess risk amid tightening financial conditions and volatile markets, Schiff argues that capital is flowing back to traditional stores of value leaving Bitcoin lagging behind in gold’s shadow.

He argues that Bitcoin’s failure to rise alongside surging tech stocks (S&P 500 up 0.5% to a record) and gold (hitting $4,525 per ounce) indicates the end of its bull run, forecasting a crash as all buyers are exhausted.

In a post on X, he wrote,

“If Bitcoin won’t go up when tech stocks rise, and it won’t go up when gold and silver rise, when will it go up? The answer is: it won’t. The Bitcoin trade is over. The suckers are all in. If Bitcoin won’t go up, it can only go down. If HODLers are lucky it won’t be a slow death.”

The post reflects Schiff’s consistent bearishness on Bitcoin since 2010, with recent December 2025 tweets predicting its collapse before a dollar crisis, despite BTC trading near $87,000 after peaking at $93,000 earlier in the month.

Schiff argues that Bitcoin remains tied to risk assets like stocks, rallying less during upswings and falling harder in downturns, dismissing it as “digital gold” since it won’t track gold’s rises.

Meanwhile, Binance CEO Changpeng Zhao “CZ”, in a response under the post, mocked Schiff’s prediction that Bitcoin’s bull run is over, urging followers to “save the tweet” as a future reminder of his repeated forecasting errors on BTC’s demise.

It is understood that Schiff has issued similar Bitcoin bearish calls for over a decade, including a 2019 claim that BTC would “never” reach $100,000, which it surpassed in 2021 and a 2018 warning that even $750 per BTC would remain “expensive.”

In line with Schiff’s prediction of the end of Bitcoin bull run, Fidelity’s global macro director, Jurien Timmer, has called the end of the latest bitcoin bull run, while highlighting gold’s continued bull market strength.

The October all-time high near $125,000, reached after roughly 145 months of cumulative rallying, fits well within the framework. Bitcoin bear markets, often referred to as winters, typically last about a year, Timmer says. As a result, he sees 2026 as a potential “year off” for bitcoin following the conclusion of the latest halving driven cycle.

“While I remain a secular bull on bitcoin, my concern is that bitcoin may well have ended another four year cycle halving phase, both in price and time,” Timmer wrote on X.

Timmer also highlights gold’s strong performance in 2025, contrasting it with bitcoin’s negative year, and does not expect a near term mean reversion between the two assets.

Gold is firmly in a bull market, up roughly 65% year to date, outperforming global money supply growth, Timmer noted. He adds that during the recent correction, gold has held onto most of its gains, which he views as characteristic behavior of a bull market.

Notably, in a counter statement, Jamie Coutts, Chief Crypto Analyst at Realvision, believes the Bitcoin bull market isn’t over yet despite substantial falls. Coutts told the Tapping Into Crypto podcast that the weakness in crypto is due to macro conditions creating a risk-off environment but he believes Trump is likely to “goose” the US economy before next year’s midterm election creating better conditions for crypto.

Coutts also said crypto is now at a “major inflection point” where institutional adoption will see the importance of the four-year cycle decline.

The flagship crypto aseet price slipped today below $87,000, falling nearly 1%, as multiple pressures hit the market at the same time. After weeks of moving sideways between $85,000 and $90,000, Bitcoin is struggling to find strong support, leaving traders cautious. BTC is currently trading at $87,183 at the time of writing this report.

Outlook

The contrasting performances of gold and Bitcoin in 2025 underscore a broader market shift. Gold’s record highs suggest continued investor preference for stability amid global uncertainty, while Bitcoin faces headwinds from macroeconomic factors and profit-taking pressures.

Analysts remain divided as some foresee a near-term consolidation or bear phase for Bitcoin, while others anticipate that institutional adoption and policy-driven economic growth could reignite bullish momentum.

OpenAI Admits Prompt Injection Risks in Atlas Browser Are Here to Stay, Unveils AI-Powered “Attacker” Defense

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OpenAI has openly acknowledged that prompt injection attacks—a sophisticated vulnerability where malicious instructions are concealed in web content, emails, or documents to manipulate AI agents—pose an intractable, long-term security threat to its ChatGPT Atlas browser, with no prospect of complete elimination.

In a comprehensive blog post published Monday titled “Continuously hardening ChatGPT Atlas against prompt injection attacks,” the company likened the issue to “ever-evolving online scams that target humans,” stating unequivocally: “Prompt injection, much like scams and social engineering on the web, is unlikely to ever be fully ‘solved.’”

The admission underscores fundamental challenges in securing “agentic” AI systems that autonomously interact with the open web. Launched on October 21, 2025, for macOS (with Windows, iOS, and Android versions forthcoming), Atlas integrates ChatGPT directly into browsing via a persistent sidebar for contextual queries, summarization, and analysis. Its standout “agent mode”—available in preview for Plus, Pro, Business, and select Enterprise/Edu users—allows the AI to perform multi-step tasks, such as navigating sites, clicking links, filling forms, managing emails, or automating workflows like meal planning and grocery ordering.

However, this autonomy dramatically “expands the security threat surface,” OpenAI noted.

Indirect prompt injections exploit the agent’s need to process untrusted content: attackers embed hidden commands (e.g., in invisible text on webpages or crafted emails) that override user intent, potentially leading to data exfiltration, unauthorized actions, or privacy breaches. Vulnerabilities surfaced immediately post-launch. Security researchers demonstrated exploits, including one where hidden text in a Google Doc altered browser behavior, and another via the Omnibox (combined address/search bar), treating malicious URLs as trusted prompts. Brave’s contemporaneous analysis deemed indirect prompt injection a “systematic challenge” for all AI browsers, citing Perplexity’s Comet as similarly affected.

Additional reports highlighted issues like “ChatGPT Tainted Memories” (a CSRF flaw that injects persistent instructions) and low phishing detection rates (Atlas blocking only ~5.8% of malicious sites versus Chrome’s 47%). Aligning with broader concerns, the U.K.’s National Cyber Security Centre (NCSC) warned earlier in December that prompt injections “may never be totally mitigated,” advising focus on risk reduction rather than eradication—echoing OpenAI’s stance. To counter this “Sisyphean” challenge, OpenAI detailed a proactive defense framework:

  • LLM-based Automated Attacker: A reinforcement learning-trained bot simulates advanced hackers, iteratively crafting multi-step (tens to hundreds) attack chains in simulated environments. Leveraging access to the target’s internal reasoning traces—unavailable to external attackers—it uncovers novel exploits missed by human red teams.
  • Rapid Response Loop: Discoveries feed into adversarial training for updated models, system-level safeguards, and monitoring enhancements. A recent update, triggered by automated red teaming, rolled out an adversarially trained checkpoint to all users.
  • A demo illustrated the attacker’s prowess: It seeded a user’s inbox with a malicious email containing injected instructions. When the agent scanned for an out-of-office reply, it instead drafted a resignation to the CEO. Post-update, Atlas detected and flagged the attempt.

OpenAI has collaborated with third-party experts pre-launch and emphasizes user mitigations: mandatory confirmations for sensitive actions (e.g., emails, payments), “logged-out” mode to avoid credential exposure, narrow task instructions, and optional features like Browser Memories (opt-in, deletable, no training use for paid users).

Industry parallels abound. Anthropic employs similar red-teaming for Claude, while Google prioritizes architectural controls in agentic tools. Yet, experts remain cautious. Rami McCarthy, principal security researcher at Wiz, framed risk as “autonomy multiplied by access,” noting agentic browsers occupy a “challenging” high-access space.

“For most everyday use cases, agentic browsers don’t yet deliver enough value to justify their current risk profile,” McCarthy told TechCrunch, citing exposure to emails and payments.

As agentic AI proliferates, spanning OpenAI’s Atlas, Perplexity Comet, and emerging tools from Google/Anthropic, the prompt injection conundrum highlights systemic hurdles in trusting autonomous agents on the unfiltered internet.

EU Praises Apple’s iOS 26.3 Interoperability Updates, Crediting DMA for Enhanced Third-Party Accessory Support

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The European Commission has welcomed Apple’s latest interoperability enhancements in the upcoming iOS 26.3 update, attributing them directly to the Digital Markets Act (DMA).

The commission described the changes as delivering “new opportunities” for European users and developers while fostering “a more inter-connected digital ecosystem to the benefit of all EU citizens.”

In a statement released Monday, the Commission highlighted two key features now available for testing in the iOS 26.3 beta, with full rollout expected across Europe in 2026. These updates are designed to level the playing field for third-party hardware manufacturers, allowing their devices to integrate more seamlessly with Apple’s ecosystem—capabilities previously reserved for Apple’s own products like AirPods and Apple Watch.

Proximity Pairing: Third-party accessories, such as wireless earbuds, headphones, or other Bluetooth-enabled devices, can now pair with an iPhone or iPad in a seamless, AirPods-like manner. Users simply bring the device close to their iOS device, triggering a one-tap setup process—no multi-step Bluetooth navigation required. This eliminates the cumbersome manual pairing often associated with non-Apple products, potentially boosting adoption of competitors like Sony’s WF-1000XM series or Bose QuietComfort earbuds.

Notification Forwarding: Non-Apple wearables, including smartwatches and fitness trackers, can receive and display iPhone notifications, allowing users to view messages, alerts, and even interact with them directly on the accessory. This mirrors functionality previously exclusive to the Apple Watch. However, notifications can only be routed to one connected device at a time: enabling it for a third-party accessory automatically disables forwarding to any paired Apple Watch. Users retain control, with privacy settings allowing selective forwarding, but this limitation ensures no overlap in ecosystem experiences.

These capabilities are currently in developer beta testing for third-party TVs, smartwatches, headphones, and other connected devices, with Apple providing APIs and documentation to facilitate integration.

The features are exclusive to the European Union, applying only to device manufacturers and iPhone/iPad users within the bloc, in direct compliance with DMA mandates that classify Apple as a “gatekeeper” and prohibit anti-competitive practices favoring its own hardware.

The DMA, enacted by the EU in 2022 and fully effective since March 2024, aims to curb the dominance of tech giants by promoting fair competition and consumer choice. It requires gatekeepers like Apple, Google, Amazon, Meta, Microsoft, and ByteDance to open their platforms, with fines up to 10% of global turnover for non-compliance—potentially $38 billion for Apple based on 2024 revenues.

This iOS 26.3 update stems from ongoing specification proceedings launched in September 2024, where the Commission outlined requirements for features like notifications, device pairing, and connectivity to prevent “self-preferencing.”

Apple’s compliance journey has been incremental and contentious. Previous DMA-driven changes include allowing alternative app stores and sideloading in iOS 17.4 (March 2024), opening NFC chip access for third-party payment apps in iOS 17.5 (May 2024), and enabling browser choice prompts. The company has repeatedly argued that such mandates compromise user privacy and security, warning of increased risks from malware or data breaches.

In a 2024 white paper, Apple estimated DMA compliance costs at over $1 billion annually, including engineering resources and lost ecosystem revenue. Despite this, EU regulators have imposed preliminary fines, such as a €1.8 billion penalty in March 2024 for App Store music streaming restrictions, currently under appeal.

Analysts have predicted a more competitive EU market, with third-party devices gaining up to 15-20% more adoption by 2027, per IDC estimates, reducing Apple’s ecosystem lock-in. For consumers, it means greater choice and potentially lower prices, though Apple warns of fragmented experiences.

Globally, similar regulations—like the U.S. Department of Justice’s antitrust case against Apple (ongoing since 2024)—could inspire broader changes, though Apple maintains these EU tweaks won’t extend outside the bloc without mandates. iOS 26.3 is anticipated for public release by late January 2026, following the beta cycle.

While these interoperability tweaks dominate EU-specific headlines, the update may include broader improvements like enhanced privacy tools or bug fixes, though details remain limited. Apple has consistently framed DMA compliance as challenging privacy and security standards, but has proceeded with implementations under regulatory pressure, avoiding fines thus far in this domain.

The company did not immediately comment on the Commission’s praise. However, the DMA scrutiny is forcing potential expansions to additional features like AirDrop, Wi-Fi sharing, or even iMessage integration. These updates signal growing openness in Apple’s iOS ecosystem for European consumers, even as debates persist over innovation versus regulation. With the EU’s digital single market valued at over €1 trillion, such shifts could reshape tech competition for years to come.