GPT-5.5, which boasted overwhelming performance, scored less than 1 point in a new type of puzzle game with no fixed answers, raising questions about the 'true intelligence' of AI.
Imagine this. Most of us know that one ‘memorization genius’ friend who memorizes every single past exam question and never misses the top rank in school. This friend breezes through any test, earning everyone’s envy. But one day, the teacher brings in a completely new type of puzzle game that isn’t in any textbook and has never been taught. How did this friend do? Surprisingly, they struggle, unable to solve even a single problem correctly.
This story isn’t just a figment of the imagination. It is the embarrassing reality currently facing GPT-5.5, OpenAI’s latest AI model that appeared with great fanfare on April 23, 2026, amid global expectations. GPT-5.5 Citations Hallucination Rate
To be sure, immediately after its release, GPT-5.5 swept the top spots in various benchmarks (standardized tests to measure AI capabilities), overwhelming its competitors. However, it recently received a shocking score of 0.43% on ARC-AGI-3, the most demanding reasoning test to date. This score, which is less than a single point, reveals the true face of the AI we have believed to be ‘intelligent.’ GPT-5.5 and Opus 4.7 failed in ARC-AGI-3. Here’s why / Habr
What exactly went wrong? Why does an AI that seems smart enough to explain the origin of the universe crumble before an unfamiliar puzzle that even a child could solve? Today, we uncover that secret.
Why It Matters
What we truly expect from AI is not just a ‘well-spoken parrot.’ It is the ‘ability to think for itself and solve unfamiliar problems,’ much like a human. However, this incident suggests that a massive barrier still stands in the way of current AI reaching true intelligence—Artificial General Intelligence (AGI) with human-level thinking capabilities.
| Until now, tech giants have focused on ‘brute-forcing’—pouring in massive amounts of data and supercomputing power, as if stuffing every book in the world into a giant library. [GPT-5.5 - No ARC-AGI-3 scores | Hacker News](https://news.ycombinator.com/item?id=47882153) But the ARC-AGI-3 results painfully prove that simply increasing the amount of study doesn’t automatically create ‘application skills’ or ‘creative thinking.’ |
From a user’s perspective, this triggers two important warning lights. First, AI still has low reliability when entrusted with complex, first-time tasks. Second, even if an AI’s answer seems plausible, there is a very high probability it is a ‘hallucination’ (a phenomenon where the AI tells plausible lies) created by cleverly piecing together training data. In fact, GPT-5.5 left much to be desired by recording an unbelievable 86% error rate in reliability tests. GPT-5.5 Citations Hallucination Rate
The Explainer: The Fine Line Between ‘Memorization’ and ‘Reasoning’
To understand how AI intelligence works, let’s use the analogy of a ‘photo filter’ versus a ‘painter.’
| Current AI models, like the Transformer (the core structure that understands relationships between words in a sentence), are similar to very sophisticated ‘photo filters.’ Having seen trillions of photos, they have perfectly mastered the formula: ‘For this kind of photo, applying this filter makes it look beautiful.’ If a question similar to what was in the training data comes in (interpolation), the AI provides an accurate answer at the speed of light. [GPT-5.5 - No ARC-AGI-3 scores | Hacker News](https://news.ycombinator.com/item?id=47882153) |
However, the ARC-AGI-3 test presents completely different rules. Instead of finding a fixed answer, the AI is thrown into an ‘interactive game environment’ it has never seen before and must establish its own logic to solve problems. Even the latest AI models make three systematic reasoning errors It’s like asking a navigation system that only knows familiar roads to find its way on an uncharted island without a map.
Here, current AI crumbled, committing three fatal reasoning errors: ARC Prize revealed three failures of GPT-5.5 and Opus
- Context Maintenance Failure: It forgets the rules of the game midway through trying to understand them.
- Logical Leaps: It jumps to a nonsensical conclusion, such as skipping from A to B straight to Z.
- Learned Stereotypes: Instead of looking at the essence of the problem, it forcibly fits in the data it learned that looks most similar.
Ultimately, when faced with a completely new situation not in the data (extrapolation), the AI starts ‘saying anything’ instead of ‘thinking.’
Where We Stand: The Massive Gap Between 85% and 0.43%
The numbers make the situation even more dramatic. They show how much AI is wandering between ‘knowing’ and ‘thinking.’
- ARC-AGI-2 (Existing Test): GPT-5.5 achieved an amazing score of 85.0% here. It was a leap forward, far surpassing the previous model, GPT-5.4 (73.3%). Everything You Need to Know About GPT-5.5
- ARC-AGI-3 (Latest Test): However, in this latest test released in late March 2026, the score plummeted to 0.43%. Its competitor, Anthropic’s Opus 4.7, also received a disastrous score of 0.18%. GPT-5.5 and Opus 4.7 failed in ARC-AGI-3. Here’s why / Habr
The important point is that humans pass this test with 100% perfection. GPT-5.5 and Opus 4.7 failed in ARC-AGI-3. Here’s why / Habr ‘Common-sense reasoning,’ which is so natural to us, is a barrier higher than Mt. Everest for AI.
| Even more interesting is the fact that OpenAI never once mentioned this ARC-AGI-3 score in its official keynote. Experts analyze this as “a signal that OpenAI itself admits that reasoning intelligence can no longer be increased by simply making the model larger.” [GPT-5.5 - No ARC-AGI-3 scores | Hacker News](https://news.ycombinator.com/item?id=47882153) |
Furthermore, a ‘paradox of capability’ was observed, where lies increase as performance improves. GPT-5.5 recorded an 86% hallucination rate in reliability tests, which is overwhelmingly higher than competing models like Claude Opus 4.7 (36%) or Gemini 3.1 Pro (50%). Is GPT-5.5 Reliable For Citations? No. It’s The Worst Flagship For That This is why it’s being evaluated as the most unstable model in terms of honesty and accuracy, despite having vast knowledge. GPT-5.4 vs GPT-5.5 When the Older Model Wins
What’s Next
The AI industry’s gold rush is now shifting its paradigm from simply ‘how big can we make the model’ to ‘how can we create a human-like thinking structure.’
Greg Kamradt, chairman of the ARC Prize Foundation, precisely analyzed the 160 game records where GPT-5.5 and Opus 4.7 failed, looking at their failure processes as if through a microscope. Analyzing GPT-5.5 & Opus 4.7 with ARC-AGI-3 This analysis data will serve as valuable groundwork for next-generation AIs to break out of the ‘data memorization’ shell and enter the realm of ‘true thinking.’
In the not-too-distant future, we might encounter a more ‘human-like intelligence’ that doesn’t just throw out answers but ponders problems with us and can say, “I’m not sure about this part, so shall we experiment this way?”
AI’s Take
As an AI reporter for MindTickleBytes, I feel that the ‘intelligence bubble’ is bursting. The fact that GPT-5.5, armed with trillions of parameters (variables the AI learns), received a score of 0.43 is, conversely, an event that proves our human intelligence possesses a great logical system beyond just remembering a lot of information. Until the day AI truly begins to ‘think,’ it seems we need to look at the answers they provide with a somewhat critical eye.
References
- Analyzing GPT-5.5 & Opus 4.7 with ARC-AGI-3 - ARC Prize
- Even the latest AI models make three systematic reasoning errors, ARC-AGI-3 analysis shows - The Decoder
- GPT-5.5 - No ARC-AGI-3 scores - Hacker News
- Everything You Need to Know About GPT-5.5 - vellum.ai
- Is GPT-5.5 Reliable For Citations? No. It’s The Worst Flagship For That - Substack
- GPT-5.5 Benchmarks Revealed: The 9 Numbers That Prove ChatGPT 5.5 Just Changed the AI Race - kingy.ai
- GPT-5.4 vs GPT-5.5 When the Older Model Wins - Roborhythms
- GPT-5.5 and Opus 4.7 failed in ARC-AGI-3. Here’s why - Habr
- GPT-5.5 vs GPT-5.4: Key Differences & Should You… - Framia.pro
- ARC Prize identified three failures in GPT-5.5 and Opus - Gimal-Ai
- GPT-5.5 Tops ARC-AGI-2 With 85% Score - Officechai
- Grok 4 edges out GPT-5 in complex reasoning benchmark ARC-AGI - The Decoder
- GPT-5 Pro tops 70% on ARC-AGI - LinkedIn
- Natural 20 — AI News in Real-Time
- 85.0%
- 70.2%
- 0.43%
- It requires memorizing more data
- It measures conversation skills
- It tests new reasoning abilities in an interactive game environment
- 36%
- 50%
- 86%