Korea’s Hanwha Aerospace Partners with GA-ASI on Gray Eagle STOL UAV – UAS VISION

launch of a Gray Eagle STOL from the Republic of Korea Navy (RoKN) amphibious landing ship ROKS Dokdo while at sea near Pohang.

Hanwha Aerospace and GA-ASI Partner on Gray Eagle STOL UAV Development

SEOUL, April 4, 2025 – South Korean defense giant Hanwha Aerospace announced a strategic partnership with General Atomics Aeronautical Systems, Inc. (GA-ASI) on April 2, committing over ₩750 billion (US$513 million) to develop and manufacture the Gray Eagle short take-off and landing (STOL) unmanned aerial vehicle (UAV) for the global defense market.

---

SIDEBAR: Hanwha Aerospace – South Korea's Emerging Defense Powerhouse

Hanwha Aerospace has established itself as South Korea's premier defense company, achieving unprecedented financial milestones in recent years. In 2024, the company recorded total revenue of ₩11.25 trillion (US$7.74 billion), a 43% year-on-year increase, with operating profit surging 190% to ₩1.72 trillion (US$1.18 billion) according to their regulatory filing released in early 2025. This made Hanwha the first South Korean defense firm to exceed ₩10 trillion in annual revenue and ₩1 trillion in operating profit.

The company's defense division has been its primary growth driver, generating approximately ₩7 trillion (US$4.82 billion) in revenue and ₩1.57 trillion (US$1.08 billion) in operating profit in 2024 according to company reports. A key milestone was reached when Hanwha's exports surpassed domestic sales for the first time, with exports amounting to ₩4.4 trillion (US$3.03 billion) compared to domestic sales of ₩4 trillion (US$2.75 billion).

Hanwha Aerospace has gained significant international recognition for its land defense systems, including the K9 self-propelled howitzer, Chunmoo multi-caliber rocket artillery system, and Skyfall 120-millimeter self-propelled mortar system which have been cited as driving the company's strong performance. The company has secured major defense contracts in Europe and other regions, with Polish President Andrzej Duda noting that South Korean partners could "supply high-quality weapons within a few months" during his visit to NATO earlier this year.

Beyond defense, Hanwha Aerospace is also making strides in the space sector. In April 2024, the Korean government selected the company as the system integrator for developing the next-generation space vehicle called KSLV-III which aims to complete a lunar mission by 2032. This project builds on previous successes, including South Korea's indigenous space vehicle Nuri (KSLV-II), which successfully put a 1.5-ton satellite into orbit in June 2022.

The partnership with GA-ASI to develop the Gray Eagle STOL represents Hanwha's strategic move into the unmanned aircraft systems market, which is projected to reach approximately ₩5 trillion (US$3.42 billion) globally by 2040 according to industry projections noted by the company. This expansion aligns with Hanwha's vision of unmanned systems as "a strategic pillar for the future of defence" as stated by Kim Dong Kwan, Vice Chairman of Hanwha Group.

---

The partnership represents Hanwha's ambitious entry into the unmanned aircraft systems market, which industry analysts project could reach approximately ₩5 trillion (US$3.4 billion) globally by 2040. The companies aim to achieve the first flight of their jointly developed UAS by early 2027.

"Hanwha Aerospace views unmanned systems as a strategic pillar for the future of defense," said Kim Dong Kwan, Vice Chairman of Hanwha Group. "Through our collaboration with GA-ASI, we aim to strengthen sovereign defense capabilities, expand Korea's presence in the global UAS market, and contribute to a more robust ROK-US alliance."

The collaboration builds on a successful flight demonstration conducted in November 2024, when the companies launched a Gray Eagle STOL from the Republic of Korea Navy (RoKN) amphibious landing ship ROKS Dokdo while at sea near Pohang. During the hour-long flight, the air vehicle was assembled on board the ship, accessed the flight deck using the vessel's aircraft elevators, and conducted a simulated landing operation.

GA-ASI CEO Linden Blue, who supervised the demonstration, expressed enthusiasm about deepening business ties with Hanwha. "Our test flight with Gray Eagle STOL was well-received by the Republic of Korea Navy and we know Hanwha is ready to invest to grow a UAS business with GA-ASI in Korea and the US."

The Gray Eagle STOL, previously known by GA-ASI's internal codename Mojave, is the only medium-altitude, long-endurance aircraft of its kind capable of operating without a catapult or arresting gear from flight deck equipped warships such as aircraft carriers. With a payload capacity of 1.6 tons, it can perform various missions including reconnaissance and attack operations, depending on equipment configuration.

Hanwha's investment includes development and production facilities for both the Gray Eagle STOL and UAS engines, with infrastructure planned for South Korea and the United States. The company aims to create jobs by recruiting talent in relevant fields and develop a domestic UAS industry ecosystem in Korea by identifying local component and material supplier companies.

The partnership comes as South Korea's Ministry of National Defense is evaluating the Gray Eagle for its ability to meet emerging military requirements.

How Trump's recent tariffs might affect this deal.

President Trump has imposed a 25% tariff on South Korea as part of his sweeping "reciprocal tariffs" announcement on April 3rd, which has triggered fears of global trade wars and economic disruption. These tariffs are set to take effect on April 9, 2025, according to the White House.

The partnership could be affected in several key ways:

1. Increased costs for components: South Korea's acting President Han Duck-soo has called for urgent talks with U.S. officials to shield their export-reliant economy from the impact of these tariffs and has ordered emergency support measures for businesses. The production of Gray Eagle STOL UAVs, which will rely on components and technologies from both countries, may face higher costs.

2. Defense industry exemptions: It's not yet clear if defense partnerships like the Hanwha-GA-ASI deal might receive exemptions from these tariffs. The White House fact sheet mentions that certain goods will not be subject to the Reciprocal Tariff, including some products related to national security, though specific defense partnerships aren't explicitly mentioned.

3. Strategic alliance considerations: Some analysts worry that tariffs against allies like South Korea could weaken security partnerships, possibly forcing countries to "reassess the reliability of U.S. security commitments," according to Seth Jones from the Center for Strategic and International Studies.

4. Potential negotiated solutions: Rather than retaliating, South Korean officials have signaled they are seeking to negotiate with the U.S., which could potentially lead to exemptions or modifications for strategic industries like defense. South Korea might make concessions in other areas to protect defense cooperation.

The timing is particularly challenging as South Korea is dealing with a leadership vacuum while waiting for the Constitutional Court to rule on whether to permanently remove or reinstate President Yoon Suk Yeol after his impeachment.

Given the strategic importance of defense partnerships and the role they play in regional security, there may be efforts from both sides to shield this specific collaboration from the full impact of these tariffs, but this remains uncertain until further announcements are made.

Sources:

1. uasvision.com - Korea's Hanwha Aerospace Partners with GA-ASI on Gray Eagle STOL UAV

2. Asia Pacific Defence Reporter - Hanwha Aerospace, GA-ASI partner on unmanned aircraft systems

3. Eurasian Times - Korean Defense Giant Hanwha Enters Drone Market! To Partner GA-ASI On Unmanned Aircraft Systems

4. Defence Industry Europe - Hanwha Aerospace and General Atomics announce strategic partnership on unmanned aircraft systems

5. Unmanned Systems Technology - Gray Eagle STOL Conducts First Ship-to-Land Flight in South Korea

6. Naval Technology - Hanwha to enter UAS market with GA-ASI partnership

7. Vertical Mag - Hanwha Aerospace and GA-ASI partner for unmanned aircraft systems

8. General Atomics - Gray Eagle STOL Makes Historic First Flight From Ship To Land

Korea’s Hanwha Aerospace Partners with GA-ASI on Gray Eagle STOL UAV – UAS VISION

Breaking Symmetry: Revolutionary Findings in Hypersonic Flow Behavior

Simulated image using isosurfaces to visualize
the angular velocity over a double cone.

Breaking the Symmetry: Revolutionary Findings in Hypersonic Flow Behavior

By Science Correspondent
March 31, 2025

A groundbreaking study published earlier this month in Physical Review Fluids has challenged long-held assumptions about hypersonic flows, potentially revolutionizing how engineers design vehicles capable of traveling at speeds exceeding five times the speed of sound.

Researchers from the University of Illinois Urbana-Champaign have discovered that hypersonic flows over conical shapes—the basic geometry for many hypersonic vehicles—don't behave as symmetrically as previously thought, a finding with significant implications for future aerospace design.

"We've been designing hypersonic vehicles based on an assumption that may not reflect reality," explains Dr. Deborah Levin, who led the research alongside Ph.D. student Irmak Taylan Karpuzcu. "Our 3D simulations show unexpected breaks in flow patterns that simply weren't visible in earlier studies."

Unveiling the Unexpected

The research team utilized advanced supercomputing resources and specialized software to conduct fully three-dimensional simulations of hypersonic flows around conical shapes. What they found stunned the aerospace community: at Mach 16, the flow exhibited distinct non-axisymmetric patterns, contradicting the traditionally accepted model of concentric, uniform flow.

"Normally, you would expect the flow around the cone to be concentric ribbons," Karpuzcu noted, "but we noticed breaks in the flow within shock layers both in the single and double cone shapes."

These breaks were particularly prominent near the cone tip, where shock waves bring air molecules closer together. The researchers observed a "180-degree periodicity" in the flow pattern, dividing it into "two big chunks" around the cone—a phenomenon never before documented at these speeds.

Speed Matters

The research also revealed that this asymmetric behavior is speed-dependent. When simulations were run at Mach 6, the flow breaks were absent, suggesting a threshold above which traditional axisymmetric assumptions no longer apply.

"As you increase the Mach number, the shock gets closer to the surface and promotes these instabilities," explained Karpuzcu.

From Theory to Practice

To validate their observations, the team combined direct simulation Monte Carlo methods with triple-deck theory and linear stability analysis. The results confirmed that non-axisymmetric disturbances were being amplified through linear mechanisms, with the strongest amplification occurring for an azimuthal wave number of n=1.

For double-cone configurations, the implications were even more pronounced. Three-dimensional simulations resulted in smaller separation bubbles with weaker shocks compared to traditional axisymmetric models, and surface parameters varied significantly in the azimuthal direction.

Implications for Aerospace Design

These findings have immediate relevance for hypersonic vehicle development programs worldwide. The conical geometry used in the study represents a simplified version of many hypersonic vehicles, and understanding how the flow affects surface properties can help engineers develop more effective designs.

"This is a case where more realistic modeling reveals phenomena that could affect vehicle performance and safety," said Dr. Levin. "It's essential that we incorporate these insights into future designs."

The discovery comes at a critical time, as nations and private companies race to develop hypersonic capabilities for both civilian and military applications.

Computational Breakthrough

The research was made possible by access to Frontera, a leadership-class supercomputer at the Texas Advanced Computing Center, along with specialized software developed by Professor Levin's former graduate students.

"Running the 3D direct simulation Monte Carlo simulation is hard," acknowledged Karpuzcu, noting that the team tracked billions of particles to ensure accurate results. "It's more extensive than classical computational fluid dynamics methods... This makes sure there are enough particles within the flow field and collisions are captured properly."

As aerospace engineers digest these findings, the study serves as a reminder that even well-established assumptions deserve re-examination with advanced computational tools—and that such scrutiny may reveal surprising new physics that could reshape our approach to extreme-speed flight.

---

References

1. Karpuzcu, I. T., & Levin, D. A. (2025). Loss of axial symmetry in hypersonic flows over conical shapes. Physical Review Fluids, 10, 033901. https://doi.org/10.1103/PhysRevFluids.10.033901
2. University of Illinois Urbana-Champaign. (2025, March). Hypersonic simulation in 3D exposes new disturbances. Aerospace Engineering Illinois. https://aerospace.illinois.edu/news/74245
3. SciTechDaily. (2025, March 28). Mach 16 Mayhem: Supercomputer Uncovers Chaos in Hypersonic Flows. https://scitechdaily.com/mach-16-mayhem-supercomputer-uncovers-chaos-in-hypersonic-flows/
4. Karpuzcu, I. T., & Levin, D. A. (2024, July 9). Loss of Axial Symmetry in Hypersonic Flows over Conical Shapes. arXiv:2407.07137. https://arxiv.org/abs/2407.07137
5. The Debrief. (2025, March 29). New Hypersonic Flight Simulations Just Revealed Something "Shocking" that Researchers Didn't Expect. https://thedebrief.org/new-hypersonic-flight-simulations-just-revealed-something-shocking-that-researchers-didnt-expect/

Mach 16 Mayhem: Supercomputer Uncovers Chaos in Hypersonic Flows

scitechdaily.com

---

In breakthrough 3D simulations, researchers observed surprising flow instabilities around hypersonic vehicle models, something earlier tests missed. Their findings could reshape how engineers design for extreme speeds. Credit: SciTechDaily.com

Researchers at the University of Illinois Urbana-Champaign have unlocked new insights into the turbulent behavior of hypersonic flows by using advanced 3D simulations.

Leveraging supercomputing power and custom-built software, they discovered unexpected instabilities and flow breaks around cone-shaped models at Mach 16, disturbances never seen before in previous 2D or experimental studies. These findings could significantly impact the design of future hypersonic vehicles by helping engineers understand how extreme speeds interact with surface geometries in new ways.

Hypersonic Flows and New Discoveries

At hypersonic speeds, air behaves in complex ways as it interacts with a vehicle’s surface, forming features like boundary layers and shock waves. For the first time, researchers in the Department of Aerospace Engineering at the Grainger College of Engineering, University of Illinois Urbana-Champaign, have observed new disturbances in these interactions using fully 3D simulations.

Running high-resolution 3D simulations at hypersonic speeds requires immense computational power, making such work costly and challenging. Two key resources made this study possible: access to Frontera, a leadership-class supercomputer funded by the National Science Foundation at the Texas Advanced Computing Center, and specialized software developed over the years by several of Professor Deborah Levin’s former graduate students. Levin led the study alongside her Ph.D. student, Irmak Taylan Karpuzcu.

View of the cone junction of a simulated flow field. In the image labeled as A, B and C are the locations of the conical shock, wavy separation line and the discontinuity in the circular shape. Credit: The Grainger College of Engineering at the University of Illinois Urbana-Champaign

A New Look at Flow Instabilities

“Transitioning flows are 3D and unsteady in nature, regardless of the flow geometry. Experiments were conducted in 3D in the early 2000s didn’t provide enough data to determine any 3D effects or unsteadiness because there weren’t enough sensors all around the cone-shaped model. It wasn’t wrong. It was just all that was possible then,” said Karpuzcu. “We have those data to compare, but having the full picture now in 3D, it’s different. Normally, you would expect the flow around the cone to be concentric ribbons, but we noticed breaks in the flow within shock layers both in the single and double cone shapes.”

Simulated image using isosurfaces to visualize the angular velocity over a double cone. Credit: The Grainger College of Engineering at the University of Illinois Urbana-Champaign

Surprising Breaks at Mach 16

Karpuzcu said they observed the breaks near the tip of the cone, and with a shock wave near where the air molecules were closer together making them more viscous at Mach 16.

“As you increase the Mach number, the shock gets closer to the surface and promotes these instabilities. It would be too expensive to run the simulation at every speed, but we did run it at Mach 6 and did not see the break in the flow.”

Karpuzcu said the cone geometry represents a simplified version of many hypersonic vehicles and understanding how the flow affects surface properties can help lead to design considerations.

This simulation image shows the density contours as if you were looking at the tip of the cone. Credit: The Grainger College of Engineering at the University of Illinois Urbana-Champaign

Unexpected Findings in 3D

“Our group’s in-house software made it efficient to run the simulation in parallel processors, so it’s much faster. There were already data from experiments under high-speed conditions so we had some intuition about how the simulations would look, but in 3D we found breaks that we didn’t expect to see.”

He said the most difficult part of the work for him was in analyzing why the break in the flow was happening.

“The flow should be going in all directions, but uniformly. We needed to justify what we were seeing. Our literature review indicated that a linear stability analysis based on triple-deck theory can be applied to this flow. After analyzing the complex formulations and connecting them to our case, we developed a code to numerically simulate the problem again. Running the 3D direct simulation Monte Carlo simulation is hard, but then we set up a second computer program to make sure everything works and is within the limits for our flow conditions. When we did that, we saw the break in two big chunks in 180-degree periodicity around the cone.”

The Power of Monte Carlo Simulations

Karpuzcu said the beauty of the direct simulation Monte Carlo is that it tracks each air molecule in the flow and captures the shocks.

“When you use other methods to calculate fluid dynamics, it’s all deterministic. When we introduce a particle to the flow field, there is a probability of that particle colliding with other particles or any solid surfaces that’s calculated on physics-based formulas, but the output is a roll of the dice. The Monte Carlo method does random, repetitive attempts. It’s more extensive than classical computational fluid dynamics methods and we’re tracking billions of particles. This makes sure there are enough particles within the flow field and collisions are captured properly.”

Reference: “Loss of axial symmetry in hypersonic flows over conical shapes” by Irmak T. Karpuzcu and Deborah A. Levin, 7 March 2025, Physical Review Fluids.
DOI: 10.1103/PhysRevFluids.10.033901

Loss of axial symmetry in hypersonic flows over conical shapes

Irmak T. Karpuzcu^* and Deborah A. Levin

Phys. Rev. Fluids 10, 033901 – Published 7 March, 2025

DOI: https://doi.org/10.1103/PhysRevFluids.10.033901

Abstract

The assumption of axial symmetry for hypersonic flows over conically shaped geometries is ubiquitous in both experiments and numerical simulations. Yet depending on the free stream conditions, many of these flows are unsteady and their transition from laminar to turbulent is a three-dimensional phenomenon. Combining triple-deck theory/linear stability analysis with the kinetic direct simulation Monte Carlo method, we analyze the azimuthal eigenmodes of flows over single- and double-cone configurations. For Mach 16 flows, we find that the strongest amplification rate occurs for the non-axisymmetric azimuthal wave number of 𝑛=1. This occurs in regions quite close to the tip of the cone due to the proximity of the conical shock to the viscous shear layer where non-axisymmetric modes are amplified through linear mechanisms. Comparison of triple-deck linear stability predictions shows that in addition to the azimuthal wave number, both the temporal content and amplification rate of these non-axisymmetric disturbances agree well with the time-accurate DSMC flowfield. In addition to the loss of axial symmetry observed at the conical shock, the effect of axial symmetry assumptions on the more complex shock-shock and shock-boundary layer interactions of a flow over a double cone is- considered. The results for the separation region show that axisymmetric and three-dimensional simulations differ in almost all of the main flow structures. Three-dimensional flowfields result in a smaller separation bubble with weaker shocks and threedimensional effects were manifest in the variation in surface parameters in the azimuthal direction as well. Interestingly, the DSMC simulations show that the loss of axial symmetry in the separation region begins near the cone tip.

 

 

6 Reasons I Use Claude Instead of ChatGPT

Claude AI Continues to Challenge ChatGPT: New Features Define Competitive Landscape in 2025

As artificial intelligence assistants become increasingly central to daily work and creative tasks, Claude AI has established itself as a formidable challenger to the widely-used ChatGPT. Recent analyses highlight specific advantages driving professionals to choose Claude for specialized applications, though both platforms continue to evolve with distinct strengths.

Six Key Advantages of Claude Over ChatGPT

According to technology writer Yasir Mahmood from MakeUseOf, Claude offers several notable advantages that appeal to different user needs:

1. Natural Conversation Experience: Claude produces more natural-sounding responses with fewer clichés and buzzwords compared to ChatGPT, making its content less likely to be flagged by AI detection tools. This quality is particularly valuable for content creators seeking authentically human-sounding text.
2. Powerful Data Visualization: When analyzing large datasets, Claude's visualization capabilities stand out. In tests with student data, Claude produces fully functional interactive charts with color-coded data points and hover tooltips, outperforming ChatGPT's more basic analysis options.
3. Native Screenshot Analysis: Claude's built-in screenshot capability allows users to instantly capture and share any window or screen for AI interpretation, streamlining the workflow for analyzing visual data without requiring external tools.
4. Customizable Response Styles: Unlike ChatGPT's consistent tone, Claude offers built-in writing styles that users can switch between depending on their needs. Options like "Explanatory" and "Concise" adapt Claude's communication style without requiring explicit instructions in each prompt.
5. Artifacts for Enhanced Content Creation: Claude's Artifacts feature gives it an edge for content creation by allowing users to see creations develop within the same artifact during the process. This real-time rendering capability is particularly valuable for web development projects.
6. Larger Context Window: Claude excels at context handling with its 200,000-token context window that processes about 150,000 words compared to ChatGPT's 128,000-token limit. This expanded capacity enables Claude to analyze entire research papers or lengthy reports without splitting documents into smaller sections.

The Evolving Competitive Landscape in 2025

Recent comparisons between the two platforms reveal an increasingly nuanced competitive landscape. For longer passages requiring superior abstract reasoning, experts recommend ChatGPT, while Claude is preferred when content needs to be rewritten in more accessible language.

In creative tasks, Claude appears to have an edge. According to a recent test published by Tom's Guide, Claude demonstrated superior abilities in creative writing, particularly in story structure, emotion, and humor.

However, ChatGPT has pulled ahead in some areas that were previously Claude's strengths. According to a recent analysis, "Earlier, the difference was small, but with the latest updates, ChatGPT seems to be way ahead of Claude." Despite Claude's officially larger context window, some tests show ChatGPT (specifically the GPT-4o model) surprisingly outperforming in handling and analyzing large documents.

The latest Claude model, 3.7 Sonnet, demonstrates significant improvements in specific areas. Claude 3.7 Sonnet excels in coding, graduate-level reasoning, and long-document analysis, with its thinking mode breaking down problems methodically to reduce errors.

As AI assistants continue to evolve, these distinctive strengths suggest that different platforms may become specialized for particular use cases. Users increasingly select between Claude and ChatGPT based on specific task requirements rather than overall platform superiority.

---

Sources:

1. Mahmood, Y. (n.d.). 6 Reasons I Use Claude Instead of ChatGPT. Makeuseof.com. Retrieved March 31, 2025.
2. Kane, R. (2025, January 22). Claude vs. ChatGPT: What's the difference? Zapier.com. https://zapier.com/blog/claude-vs-chatgpt/
3. Writesonic Blog. (2024, December 31). Claude vs. ChatGPT: A Detailed Comparison. https://writesonic.com/blog/claude-vs-chatgpt
4. Meaningful, m8l. (n.d.). Claude vs. ChatGPT: A Comprehensive Comparison in 2025. https://www.m8l.com/blog/claude-vs-chatgpt
5. TaskVirtual. (2024, December 25). Claude vs ChatGPT: A Comprehensive Comparison for 2025. https://www.taskvirtual.com/blog/claude-vs-chatgpt-a-comprehensive-comparison-for-2025/
6. Type.ai. (2025, January 28). Who Wrote it Better? A Definitive Guide to Claude vs. ChatGPT vs. Gemini. https://blog.type.ai/post/claude-vs-gpt
7. Morrison, R. (2025, January 1). I put ChatGPT vs Claude to the test with 7 prompts — here's the winner. Tom's Guide. https://www.tomsguide.com/ai/chatgpt/i-put-chatgpt-vs-claude-to-the-test-with-7-prompts-heres-the-winner
8. DocsBot AI. (2025, March 27). Claude vs. ChatGPT: A Comprehensive Comparison in 2025. https://docsbot.ai/article/claude-vs-chatgpt-best-ai-chatbot-2025

 

6 Reasons I Use Claude Instead of ChatGPT

makeuseof.com

Yasir Mahmood

---

I use both ChatGPT and Claude AI assistants regularly, but Claude is my primary choice for most tasks. While both platforms have their strengths, I've found Claude offers several advantages that make it my preferred AI assistant for daily work.

6 Larger Context Window

This difference is impressive for my workflow. When analyzing research papers or reviewing lengthy reports, I don't need to split documents into chunks or worry about losing conversational continuity. Therefore, you can use Claude to process huge Google Docs in one go, making it much more efficient for document analysis.

This context advantage becomes more apparent when comparing Claude to OpenAI's GPT-4.5 AI Model, which still maxes out at 128K tokens like previous models. The extra context allows Claude to maintain awareness of details mentioned earlier in the conversation. This results in more coherent and relevant responses when discussing complex topics.

Claude's superior context handling is reason enough to make it the primary AI assistant for professionals dealing with contracts, academic papers, or comprehensive datasets. It remembers more of what you've discussed.

5 Artifacts Make Content Creation Easy

Claude's Artifacts give it an edge over ChatGPT's Canvas for content creation, though both have specific strengths. The main difference? Claude lets you see your creations come to life in the same artifact while you work on them.

I've found Claude particularly strong for web development projects. For instance, when asked to generate a landing page with HTML, CSS, and JavaScript, Claude renders it directly in the artifacts window with functional elements like countdown timers.

On the other hand, Canvas produces clean code, but the rendering feature is not up to par.

• 

Claude's version history is also straightforward, with numbered revisions, making it easier to track changes. ChatGPT does feature version history but does not number them.

As for visualization capabilities, Claude displays SVG images and flowcharts right in the window, and you can download the file type you ask for. Canvas, in contrast, typically offers alternatives, such as only PNG files. This direct rendering saves you time when creating diagrams or visual presentation elements.

• 

Despite Claude's advantages, ChatGPT Canvas does shine in certain areas. For example, its WYSIWYG text editing functionality offers more intuitive document formatting tools than Claude provides. With Canvas, you can directly highlight text and apply styles like bold or headers, which is more like what we do with word processors.

Related

What Is WYSIWYG?

What you see is what you get, but what does this mean? When it comes to word processing or website design, WYSIWYG can simplify a tricky process.

4 Response Styles for Every Situation

Claude offers something ChatGPT doesn't: built-in writing styles that change how it communicates with you. ChatGPT maintains a consistent tone regardless of your task unless otherwise advised in the prompt.

While ChatGPT can adopt personality traits, these apply only to new conversations, not ongoing ones. Claude lets you switch between different communication modes (it has been trained on) that change its output format and style.

I regularly switch between styles depending on my needs. For technical documentation, I use "Explanatory" with a prompt like "Explain how GraphQL differs from REST APIs" to get extended breakdowns with examples. With ChatGPT, I'd need to explicitly request "Please explain in detail with examples" every single time.

• 

The "Concise" style saves time, too. When you need quick answers without the fluff, try asking both AIs to "Summarize the key points of quantum computing." Claude in Concise mode gives you just the facts, while ChatGPT tends toward verbose explanations unless specifically instructed otherwise.

• 

When using Claude's free version during high-traffic periods, it sometimes defaults to Concise mode, but you can easily switch back to Normal through the style selector.

3 Native Screenshot Analysis

Claude's ability to analyze screenshots directly within the interface gives it an edge over ChatGPT. With just a click of the camera icon, you can instantly capture and share any window, tab, or entire screen for Claude to interpret.

You can access this feature from the attachments in the search bar. It saves time when working with data visualizations. Rather than manually taking a screenshot using the Windows Snipping Tool for a chart or table, you can screenshot it using the built-in tool and ask Claude to analyze the trends and extract key figures.

2 Powerful Data Visualization

I used a CSV student dataset containing information about 5,000 students, including demographics, academic scores (midterms, finals, assignments), study habits, and lifestyle factors like sleep hours and stress levels. With this data, I wanted to analyze correlations that would be difficult to identify manually.

I gave both AI assistants the following prompt with a CSV file attachment.

Analyze this student grade dataset that I got from Kaggle and create an interactive visualization that shows the correlation between study hours, attendance percentage, and final scores. Add insights about which factors most strongly predict student success.

Claude produced a fully functional interactive chart in its artifacts window, with color-coded data points and hover tooltips. It even filtered the data by department. While ChatGPT provided basic analysis.

On the other hand, ChatGPT's response wasn't as good. It mostly provided the codes and the confusion matrix.

For the best data analysis experience with Claude, make sure to enable the Analysis Tool from Feature Preview in the search bar. This feature lets Claude generate interactive visualizations, process complex datasets, and provide deeper statistical insights from your CSV files, all within the artifacts window.

The visualizations aren't just functional, as they're presentation-ready. You can download them as SVG files or copy the code to embed in your own projects. For any data analysis task that requires visual representation, Claude has become my go-to tool, outperforming other AI assistants in both capability and usability.

1 Natural Conversation Experience

Try this simple test: Ask both AIs, "What are your thoughts on remote work?" ChatGPT typically responds with formulaic language packed with buzzwords. Terms like "game-changer," "leverage," and "innovative solutions" are the reason why AI checkers might flag your writing. Claude's response reads more like something a real person would write, with fewer clichés and more fine perspectives.

This natural quality becomes more apparent in lengthy exchanges. ChatGPT tends to adopt a predictable pattern—starting points, three examples, then "in conclusion"—while Claude varies its structure based on the conversation context. When I've run content through AI detection tools, ChatGPT's outputs are flagged more often than Claude's.

This difference is noteworthy if you need genuinely human-sounding content, which is why I usually don't trust AI to generate personalized content. But I think, generally, Claude's responses require far less editing to sound authentic, save time, and maintain a personal voice.