Ever got in trouble for something you didn’t do? That’s the case for many students who are receiving false positive AI detection. The consequences can range from a slap on the wrist to full-on suspension. I’m serious — that did happen.
There’s nothing you can do to stop teachers from using AI detectors. So, what can you do to avoid this issue?
For one, you can record your progress while writing the essay. But let’s say you forgot and it’s too late for that. That’s when I suggest using AI humanizers.
Undetectable AI has always been my go-to for these situations, but maybe there’s an AI humanizer out there that’s better. Maybe… that’s Conch AI.
What is Undetectable AI?
Undetectable AI is an AI humanizer, a platform that lessens AI likelihood scores by removing telltale signs of AI in a text. This is done by paraphrasing the original text and adding intentional mistakes to recreate human writing or, at least, an approximation of it according to detection models. You can also tweak the output by:
- Readability: High school, university, doctorate, journalist, and marketing.
- Purpose: General writing, essay, article, marketing material, story, cover letter, report, business material, and legal material.
- Balance: More human, more readable, balanced.
Lately, Undetectable AI has been transitioning from being an AI bypassing platform into a more complete AI writing suite by adding new features for translation, SEO writing, creating job applications and more.
You can read our full review of Undetectable AI here.
What is Conch AI?
Conch AI is an AI writing assistant similar to QuillBot or WriteSonic, but with one key distinction: it focuses on making your text as invisible to AI detection tools as possible. While Undetectable AI has its own set output customization features, Conch AI makes use of prompts to make the output as close to the original as possible — giving you more flexibility.
Undetectable AI vs. Conch AI Humanizer: Readability
AI humanizers have a tendency to create unreadable output because that’s the only reliable way of avoiding AI detection (for now). Is that the same case for Undetectable AI and Conch AI? Let’s find out.
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The ethics of genetically modified organisms (GMOs) centers on balancing benefits and concerns. GMOs improve crop yields, enhance nutritional value, and reduce reliance on pesticides, addressing food security challenges. However, ethical concerns include environmental impacts, corporate control of seeds, and long-term health effects. Critics argue that GMOs can harm biodiversity and marginalize small farmers. Supporters emphasize their potential to combat global hunger and climate change. Transparency and rigorous safety testing are essential for informed public trust. The ethical dilemma lies in whether the potential benefits of GMOs outweigh the risks, calling for responsible innovation guided by public welfare and sustainability. |
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The ethics of genetically modified organisms (GMOs) are about the advantages and disadvantages of such science. These are used to increase food production, improve the nutritional content of food, and decrease the use of pesticides to grow crops, thus contributing to food security. However, social issues such as environmental effects, control of corporations over seeds, and health risks are also involved. Biodiversity loss and displacement of small farmers are some of the criticisms of GMOs. Their supporters are certain that they will help to solve the problem of worldwide hunger and climate change. Only transparency and strong safety testing can build public trust. The issue is whether the benefits of GMOs are worth the risks, which makes for an ethical dilemma over whether there is such a thing as responsible innovation for the public good and sustainability. |
The topic of genetically modified organisms or genetically modified organisms dives deep into a world where benefits clash with concerns. Many people talk about how these modified crops can boost the crop yields which sounds great when thinking about food needs. It’s like giving farms a benefits. Further, these crops can have enhance nutritional value which is a plus for consumers. reduce reliance on pesticides is another pretty impressive point as we look at environmental aspects. However, more so there are ethical concerns that come into play that cannot be ignored. Environmental effects could be worse than what anyone anticipates. corporate control of seeds is pretty unsettling. This makes you think what it means for small farmers and their ability to grow crops. Critics often come forward and say that genetically modified organisms can really mess up biodiversity and marginalize small farmers. Also, this might have wider implications on communities that rely on traditional farming methods.Now let’s not forget those who support genetically modified organisms. They usually point out how these crops might help a lot in combat global hunger and climate change. This can sound hopeful especially when looking around the world and seeing the struggles with food supply in regions like Sub-Saharan Africa. Yet, with all this going on, transparency is key. Without it, people will not really trust what’s happening. Public trust matters so much and rigorous safety testing is vital. There’s a book called The ethical dilemma about GMOs is really complicated. So some people think they are responsible innovation. Others believe they could be dangerous. The honest truth is that there are a lot of facts to weigh when talking about how GMOs can affect public welfare. Therefore the potential benefits might seem great like growing more food and solving hunger issues. Yet the risks are there too which could lead to health problems or environmental health problems. Just to take a step back in history like released the genetically modified food which was Flavr Savr tomatoes released in 1994. It was |
I’ve always been highly critical of Undetectable AI’s readability, but I’ll be honest — it’s the clear cut winner of this round.
Undetectable AI preserves the core message and structure of the original, though it occasionally uses simpler language. Its grammar remains solid throughout, with only minor hiccups in sentence construction. The most notable weakness appears in its closing statement, where it introduces awkward phrasing about “whether there is such a thing as responsible innovation” – a concept that wasn’t present in the original text.
Conch AI, on the other hand, veers dramatically off course. It’s riddled with grammatical errors, incomplete thoughts, and even an unfinished sentence about a book. The text becomes increasingly informal with phrases like “pretty unsettling” and “mess up biodiversity.”
Most notably, it breaks off mid-sentence while discussing Flavr Savr tomatoes, leaving readers hanging. Its structure completely abandons the original’s clear progression of ideas.
All in all, Undetectable AI at least maintains coherence and readability despite its flaws, while Conch AI reads more like a rough first draft of a casual blog post that got cut off before completion. But if I’m being honest: neither version truly does justice to the original’s careful examination of the GMO debate.
Undetectable AI vs. Conch AI Humanizer: Bypassing AI Detection
Test #1
Undetectable AI: Successfully passes as human!
AI Likelihood Score: 1.2%
Conch AI: Successfully passes as human!
AI Likelihood Score: 0%
Test #2
Undetectable AI: Detected as AI.
AI Likelihood Score: 100%
Conch AI: Successfully passes as human!
AI Likelihood Score: 0.1%
Test #3
Undetectable AI: Successfully passes as human — but, barely.
AI Likelihood Score: 45.8%
Conch AI: Successfully passes as human!
AI Likelihood Score: 32.8%
Test #4
Undetectable AI: Successfully passes as human!
AI Likelihood Score: 29.1%
Conch AI: Successfully passes as human!
AI Likelihood Score: 0.1%
Test #5
Undetectable AI: Successfully passes as human!
AI Likelihood Score: 0%
Conch AI: Successfully passes as human!
AI Likelihood Score: 0.5%
Overall Tally
Credit where credit is due: Conch AI is one of the few humanizers I’ve seen that has a lower AI likelihood score than Undetectable AI. So surely, I’m recommending it, right?
Well, not exactly…
The Bottom Line
I know what I’m getting into when I’m using Undetectable AI. It’s effective for the most part, but their output’s a mess. Still, it’s a mess I could easily clean up, because overall, their outputs still make sense.
Conch AI’s outputs don’t.
There are three things I’ve noticed that all Conch AI outputs have in common. Number one, their grammar and punctuation are often beyond repair. Two, they add a lot of new and often unverifiable information to their outputs to avoid AI detection, which leads me to believe that they’re more prone to hallucinations. And three: the end of all their paragraphs just…trail off, for some reason.
This is why I can’t recommend Conch AI. So, if you’re looking to get rid of false positive AI detection in your assignments (while avoiding cheating at the same time), it’s better to just use Undetectable AI. If you’re looking for an alternative, give TurnItHuman a try. Good luck!
