OpenAI‘s GPT-4 Passes the Bar Exam and Excels on Other Academic Tests – But Still Has Some Weak Spots

Artificial intelligence has advanced tremendously in recent years. And one of the most exciting new AI systems is OpenAI‘s GPT-4 language model. GPT-4 displays amazingly human-like abilities to understand and generate natural language text. To test just how smart it is, OpenAI benchmarked GPT-4 on a variety of exams and academic tests. The results show GPT-4 reaching human levels of performance in areas like reading comprehension, logical reasoning, and even visual analysis. However, the AI still struggles with creative writing, mathematical problem-solving, and coding skills. Let‘s dive into the key benchmarks and what they reveal about the current abilities and limitations of cutting-edge AI.

GPT-4‘s Architecture – Why It‘s So Good at Taking Tests

Before getting into the results, it helps to understand what makes GPT-4 tick. The model builds on OpenAI‘s previous work with GPT-3 but has some key improvements under the hood. GPT-4 has approximately 137 billion parameters – 4 times more than GPT-3. This gives it increased memory and contextual knowledge to draw on. The model is trained using a dataset of 400 billion token pairs, giving it extensive knowledge of how human language works.

GPT-4 also employs transformer networks for processing textual input of up to 2,560 tokens. This allows it to model complex relationships in lengthy passages – perfect for excelling at reading comprehension. Reinforcement learning from human feedback also enables GPT-4 to improve its responses over time, becoming more accurate and human-like.

These architectural upgrades explain why GPT-4 displays much stronger reasoning and language mastery than previous AI systems. But as we‘ll see from its test results, the model still has some limitations.

Photographic Memory Helps GPT-4 Pass the Bar Exam

One of the most impressive displays of GPT-4‘s intelligence was its performance on the Uniform Bar Exam. This grueling multiday exam is required for U.S. law licensure and tests a broad range of skills from logical reasoning to legal writing. GPT-4 scored a total of 298 out of 400 possible points. This would place it in the estimated 90th percentile for human test-takers – high enough to pass the bar in almost all states.

Breaking it down section by section:

• On the LSAT, GPT-4 scored 168. This equates to about the 88th percentile among human LSAT test-takers.

• On the MBE multiple choice section, GPT-4 demonstrated excellent memorization and logical deduction abilities. This section makes up 50% of the overall bar exam score.

• The written portions like the MEE essays and MPT performance exams were more challenging for GPT-4. But it still displayed competent legal reasoning and writing skills.

For comparison, OpenAI‘s previous model GPT-3.5 scored only a 10th percentile on the same bar exam. The massive performance jump with GPT-4 shows how rapidly AI capabilities are evolving.

So what enabled GPT-4 to ace a test that less than half of humans pass on their first try? Its strong language modeling capabilities allow it to parse dense legal texts. GPT-4 also exhibits excellent reading comprehension and logical reasoning thanks to its transformer architecture. And the model‘s ability to incorporate visual data likely helps on diagrammatic questions. Essentially, GPT-4 exhibits many of the core skills needed to succeed on the bar exam – albeit not yet at fully human levels.

GPT-4 Excels on the SAT But Shows Weakness in Writing

In addition to professional certification tests, GPT-4 also took on some academic benchmarks like the SAT college admission exam. On the math section, it scored in the jaw-dropping 99th percentile compared to human test-takers. But on the writing section, GPT-4 lagged behind with a 54th percentile score.

This huge gap highlights that while GPT-4 has world-class math reasoning abilities, its skills in crafting creative essays still need improvement. When analyzing GPT-4‘s sample essay responses, we see well-organized writing with varied vocabulary and sentence structure. But the essays lack originality and don‘t fully grasp nuanced rhetorical strategies humans employ. There is also occasional logical incoherence, with paragraphs veering into unrelated topics.

So while GPT-4 demonstrates strong general language proficiency, human writers still retain an edge in crafting smoothly flowing narratives and arguments. But continued advances in coherence and logical consistency could make AI indistinguishable from humans in essay writing within the next few years.

All Over the Map on AP Tests

For a high school-level academic challenge, GPT-4 took on Advanced Placement exams across diverse subjects. Its scores highlighted the model‘s strengths and weaknesses:

• 86th-100th percentile on Biology and Art History (strong visual reasoning)
• 43th-59th percentile on Calculus BC
• 14th-44th percentile on English Literature

GPT-4 dominated in areas relying on learned knowledge like biology and art. But weaker math skills hindered it on calculus problems. And just like with the SAT essay, its limited creativity and rhetorical competence dragged down the English score. So while GPT-4 absorbs textbook knowledge easily, applying that knowledge to solve math problems or compose creative essays is still a struggle.

Coding Remains a Challenge

One skill we humans retain a definitive edge in is writing computer code. GPT-4‘s poor performance on programming challenges confirms it has much improvement ahead in software development abilities.

On Leetcode coding problems, GPT-4 managed only:

• 31/41 problems solved on the easy level
• 21/80 solved on medium
• 3/45 solved on hard

These dismal results indicate GPT-4 lacks abilities like logical thinking, pattern recognition, and mathematical reasoning needed to design algorithms. While it can generate simple code by pattern matching, complex problem-solving stumps it.

So despite its mastery of natural language, a coding career is likely not in GPT-4‘s future! AI still thinks very differently than humans when it comes to programming logic.

What Other Professional Tests Could GPT-4 Pass?

Thanks to its well-rounded reasoning abilities, GPT-4 could likely excel at other professional licensing and certification exams including:

• US Medical Licensing Examination: GPT-4 has the biology knowledge and reading skills to potentially pass medical boards.

• CPA Exam: With strong logical reasoning and language skills, GPT-4 may succeed at accountancy certifications.

• Architecture Registration Exam: GPT-4‘s visual intelligence could aid with diagram-heavy architecture problems.

• Actuarial exams: Though its weaker math skills could struggle with statistics and financial modeling sections.

• GRE: GPT-4 already scored very highly on the verbal section, though lower on analytical writing.

So in fields relying on learned expertise like law, medicine, and accounting, GPT-4 demonstrates great promise. But it may struggle more in highly quantitative areas like actuarial science or engineering.

What Do GPT-4‘s Skills Mean for Education and Credentialing?

GPT-4‘s strong exam performance has intriguing implications for the future of learning and career development. In the near future, AI tutoring applications based on models like GPT-4 may provide personalized teaching and expert instruction previously only available to the privileged few. This could greatly expand access to top-quality education.

But there are also concerns that easy access to AI tutors could undermine the value of academic credentials and professional licensure exams. If AI can pass the bar or medical boards, what‘s the point? However, testing focuses on more than just memorized knowledge. Critical thinking, ethics, sound judgment, and creativity are difficult to instill in AI. So quality assurance through credentialing will likely evolve, but retain importance in the AI age.

The rapid advances we see with systems like GPT-4 are both exciting and concerning. But responsible development and use of AI technology alongside human strengths may open up a world of new possibilities. Our machine creations still have much to learn from their flawed but ingenious human parents. But they also harbor great potential to complement our skills and usher in an age of greater knowledge and achievement if guided wisely.