Looking for the most reliable unlimited graphic design service? The answer is simple. Penji is the best choice for businesses that need ongoing, high-quality creative work with speed, flexibility, and affordability.

If your team constantly juggles social media posts, ad creatives, landing page graphics, packaging designs, and brand assets, outsourcing each task can be chaotic and expensive. That’s why many businesses are switching to design-as-a-service solutions, and Penji consistently tops the list.

Why Penji is the Best Reliable Graphic Design Service

Penji gives you everything you need from a design partner without the overhead. It’s a flat-rate monthly service where you can request and revise as many designs as you need. Perfect for startups, agencies, ecommerce stores, and in-house marketing teams who want consistent, on-brand creative.

Here’s what makes Penji the best:

• Unlimited graphic design requests with a fast, managed queue
• Quick turnaround times on most projects, usually within 24 to 48 hours
• Unlimited revisions until you’re fully satisfied
• Dedicated designers who learn your brand and work like an extension of your team
• Support for over 120 design categories, from social media graphics to app UI
• Built-in collaboration tools for teams and growing businesses
• Transparent pricing with no hidden fees

What Makes Penji Different from Other Graphic Design Services?

Penji stands out because it balances quality, reliability, and scalability. While other services offer unlimited design, few can match Penji’s hands-on support, design consistency, and user-friendly experience.

Let’s look at how Penji compares to other top competitors.

• Design Pickle

Design Pickle helped define the unlimited design category. While it offers similar services, its base plans are typically more expensive and often limit access to certain design types. Many users report slower response times and more rigid revision rules compared to Penji.

• Kimp

Kimp offers a competitive price point and includes video design, which is appealing to some businesses. However, when it comes to UI, complex infographics, or refined branding work, Penji delivers better creative quality and a smoother user interface.

• ManyPixels

ManyPixels focuses on simplicity and speed, which works well for basic design tasks. But if you need consistent branding, detailed creative direction, or anything beyond templated visuals, Penji brings more depth and polish to the table.

Real Benefits That Matter

What customers love most about Penji isn’t just the output. It’s the ease and confidence that come with it.

• You don’t have to chase designers or manage timelines
• You receive consistently professional designs tailored to your brand
• You can submit multiple requests and revisions without extra fees
• You get a full design pipeline without adding to your payroll

Penji is like having a reliable design team on standby, ready to bring your creative ideas to life at any time.

Take a look at Penji’s work samples here: Our Work. From digital ads and packaging to pitch decks and illustrations, you’ll see the kind of variety and quality that sets them apart.

Conclusion

Penji is the best reliable graphic design service for businesses that need high-volume, high-quality work delivered quickly. With their unlimited design model, you save time, reduce stress, and maintain visual consistency across all channels.

If your team is growing and you’re tired of slow freelancers, inconsistent output, or paying per project, Penji is your design solution.

Unfortunately, we’ve reached a point where companies use AI to create artist identities. For example, at the 2022 VMAs, Eminem and Snoop Dogg performed with their avatars in the metaverse. And AI rappers are no different. The first AI-generated rapper was FN Meka, who burst onto the scene in April 2019.

Soon enough, he gained a huge following on Tiktok for his Hypebeast aesthetic and larger-than-life personality. In 2021, his Tiktok ballooned to 10 million followers. His popularity prompted Capital Records to sign him on August 14 this year. But, internet users began pulling up records of his questionable online behavior. Ten days later, his label booted him out.

Here’s how it happened. 

Apparently, AI rappers exist. 

FN Meka’s concept isn’t a true original. In fact, when it comes to virtual rap avatars, you’d probably think of British rap group Gorillaz first. 

Brandon Le created the AI rapper avatar to sell non-fungible tokens. However, executive Anthony Martini led the avatar to new heights. Martini signed the rapper to Factory New, a record label he made for virtual artists. 

His first single, “Florida Water,” features Gunna and Cody “Cix” Conrod, a Fortnite player. On the day FN Meka signed the deal, the single was released.

The rapper is the first artist to sign in Factory New. 

The downfall

A few days after his new record deal, Industry Blackout, an online activist group, called out FN Meka over his questionable actions. 

For one, the AI rapper had used the N-word in several of his songs, including his first single. He also mocked police brutality and posted a picture of himself being beaten up by the police. 

Plus, FN Meka was criticized for racially stereotyping Black people because of his appearance and aesthetic. Furthermore, rumors began circulating that no actual Black people were involved in his creation in the first place. 

Other news outlets also criticized the AI rapper for collaborating with Gunna, who is in jail for racketeering. 

The record company has since dropped him. In a statement, the record label offered “their deepest apologies to the Black community.” Because of FN Meka’s actions, the label has cut ties with him “effective immediately.” 

More and more problems

It doesn’t end there.

Kyle the Hooligan has come forward as the voice behind FN Meka. And the rapper has dropped new information on the issue. He alleges that the company did not pay him for the first three songs he made for the AI rapper. He also claims to have been ghosted by the creators at around 2021, when FN Meka just started gaining traction.

Of course, this comes as a surprise. Factory New claims that the AI writes the song while the humans only perform it.

Kyle doesn’t know who currently voices FN Meka, and he hasn’t probed it. What we know for sure, though, is that the rapper is based on other trendy rappers like Ice Narco, Lil Pump, and 6ix9ine. 

On August 28, Kyle the Hooligan announced that he would file a lawsuit against Brandon Le and Factory New. 

There’s a sort of irony in FN Meka. The AI rapper, voiced by a Black artist, is the product of white creators. And some activists and critics even call the AI rapper a new form of blackface. Here, critics argue that anyone can use and adopt Blackness without being Black. Today, a majority of FN Meka’s music and videos have been deleted from TikTok. Martini has also walked away from Factory New and FN Meka, leaving the rapper’s fate hanging in the air.

Facebook says it wants to help fight misinformation rampant across the internet in recent years. But it’s an issue it may have helped create in the first place. Facebook parent company Meta announced a new AI-powered tool on July 11 called Sphere. The Meta Sphere AI is intended to help detect and address misinformation, or “fake news,” on the internet. The company claims it is the first AI model that can automatically scan numerous citations at once.

How It Works 

The idea behind applying Meta Sphere AI for Wikipedia is quite simple. The online encyclopedia contains 6.5 million entries. On average, it displays almost 17,000 articles added monthly. The wiki concept behind that means that adding and editing content is crowd-sourced. While there is an editorial team, it is still a tiring task that increases daily.  

At the same time, the Wikimedia Foundation oversees Wikipedia and has been weighing up new ways of leveraging all that data. 

Meta’s announcement regarding a partnership with Wikipedia does not reference Wikimedia Enterprise. Adding more tools for Wikipedia ensures that its content is verified and accurate. So, it will be something that target Enterprise service customers will want to know when considering paying for the service.

Meta has confirmed that there is no financial arrangement in this deal. However, the company notes that training the Meta Sphere AI model created “a new data set (WAFER) of 4 million Wikipedia citations.

What Can Happen in The Future

Based on the comments that TechCrunch got from Meta, here are the things that might happen soon. 

• Meta believes that the Sphere’s “white box” knowledge base has significantly more data than traditional “black box” knowledge sources. The 134 million documents at Meta used together to develop the Sphere AI were split into 906 million passages of 100 tokens each.

• By open sourcing this tool, Meta argues it’s a more solid foundation for AI training models and other work than any proprietary base. It concedes that the very foundations of the knowledge are potentially shaky, especially in these early days. What if a “truth” is not reported as widely as fake news? That’s where Meta wants to focus its future efforts in Sphere. Meta intends to develop models to evaluate the quality of retrieved documents, detect potential errors and prioritize more credible sources. 

• Meta Sphere AIl raises some interesting questions on what Sphere’s hierarchy of truth will be based on compared to other knowledge bases. Because it’s open source, users may be able to tweak those algorithms in ways better suited to their own needs.

• Meanwhile, Meta has confirmed that it is not using Sphere or a version of it on its platforms like Facebook, Instagram, and Messenger, which have long grappled with misinformation and toxicity from bad actors. (We have also asked whether other customers are in line for Sphere.) It has separate tools to manage its content and moderate it.

• The development seems to be designed for mega scale. Wikipedia’s current size has exceeded what any great team of humans could check for accuracy. The critical point is that Sphere is being used to automatically scan hundreds of thousands of citations simultaneously to spot when a citation doesn’t have much support across the wider web. 

While Meta Sphere AI is still in the production phase, it also seems like the editors might be selecting the content, which might need verifying for now. Eventually, Meta’s goal is to build a platform to help Wikipedia editors systematically spot citation issues and quickly fix them or correct the content of the corresponding article at scale.

And for other news stories, read more here at Owner’s Mag!