How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and Bard

Machine Learning Tech Brief By HackerNoon

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The Agile Brand with Greg Kihlström®: Expert Mode Marketing Technology, AI, & CX

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#742: Making frictionless payments a reality with Peter Galvin, NMI 30:46

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How do we future-proof the digital payment experience so it becomes invisible to customers—yet keep it working harder than ever for brands? Agility requires a deep understanding of how technology can simplify the customer journey without compromising security or trust. Today we’re going to talk about the future of secure digital payments, how in-app and frictionless experiences are redefining customer loyalty, and why platform providers need to take the in-app payment shift seriously. To help me discuss this topic, I’d like to welcome Peter Galvin, Chief Marketing Officer at NMI. About Peter Galvin Peter is Chief Marketing Officer at NMI and is a 20-year veteran of global technology organizations, specializing in promoting innovative enterprise and Cloud-based software companies to leadership positions. He previously served as Chief Marketing Officer at Entrust and Proofpoint, as well as Chief Strategy & Marketing Officer for nCipher (formerly Thales e-Security). Peter has also served in senior marketing leadership roles at leading technology companies including Openwave, Inktomi (acquired by Yahoo) and Oracle. He’s passionate about skiing and travel, and enjoys cooking and spending time with his family. Peter Galvin on LinkedIn: https://www.linkedin.com/in/petergalvin/ Resources NMI: https://www.nmi.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Register now for Sitecore Symposium, November 3-5 in Orlando Florida. Use code SYM25-2Media10 to receive 10% off. Go here for more: https://symposium.sitecore.com/ Don't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company…

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This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-bots-code-comparing-bing-claude-co-pilot-gpt-4-and-bard.
In this article, we will compare four of the most advanced AI bots: GPT-4, Bing, Claude+, Bard, and GitHub Co-Pilot, by asking them to solve coding challenges.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #coding, #coding-skills, #generative-ai, #ai, #technology-trends, #programming, #ai-trends, and more.
This story was written by: @jorgev. Learn more about this writer by checking @jorgev's about page, and for more stories, please visit hackernoon.com.
An AI bot for coding is an artificial intelligence program that can automatically generate code for a specific task. In this article, we will compare four of the most advanced AI bots: GPT-4, Bing, Claude+, Bard, and GitHub Co-Pilot. We will examine how they work, their strengths and weaknesses, and how they compare to each other.

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How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and Bard

Machine Learning Tech Brief By HackerNoon

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לפני 16 ימים6:12

6:12

This story was originally published on HackerNoon at: https://hackernoon.com/github-bets-on-ai-prototyping-with-spark-its-new-app-centric-platform . GitHub Spark turns natural language prompts into working web apps - no coding required. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #ai , #ai-prototyping , #github-ai , #github-spark , #github-app-centric-platform , #full-stack-ai-dev , #full-stack-ai-native-dev , #ai-native-development , and more. This story was written by: @ainativedev . Learn more about this writer by checking @ainativedev's about page, and for more stories, please visit hackernoon.com . GitHub Spark turns natural language prompts into working web apps - no coding required.…

1
Microsoft’s LinkedIn Still Sucks, But Outsmarting Its Algorithm Is Hilariously Easy 4:22

לפני 17 ימים4:22

4:22

This story was originally published on HackerNoon at: https://hackernoon.com/microsofts-linkedin-still-sucks-but-outsmarting-its-algorithm-is-hilariously-easy . A cheeky experiment uses ChatGPT to slip LinkedIn’s walled garden, proving off-platform links still win—and why MS’s Dismal Platform must pivot or die. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #ai , #openai , #microsoft-ai-monopoly , #internet-censorship , #censorship-resistant-internet , #censorship-resistance , #linkedin , #hackernoon-top-story , and more. This story was written by: @frankmorgan . Learn more about this writer by checking @frankmorgan's about page, and for more stories, please visit hackernoon.com . LinkedIn is notorious for keeping people inside the world’s most boring walled garden. But a simple algorithm-dodging experiment demonstrates there are easy workarounds.…

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New frontiers in Human AI Interface 24:03

לפני 17 ימים24:03

24:03

This story was originally published on HackerNoon at: https://hackernoon.com/new-frontiers-in-human-ai-interface . Recent tech advances are breaking free from 20 years of 5-inch screen limits, unlocking full human senses in computing through AI interfaces and wearables. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #ai , #human-machine-interaction , #wearables , #ai-powered-tech , #ai-tools , #human-ai-interface , #ai-computing , #hackernoon-top-story , and more. This story was written by: @zbruceli . Learn more about this writer by checking @zbruceli's about page, and for more stories, please visit hackernoon.com . Recent tech advances are breaking free from 20 years of 5-inch screen limits, unlocking full human senses in computing through AI interfaces and wearables.…

1
Ethos Ex Machina: How AI Creates Trust Without Truth 7:42

לפני 18 ימים7:42

7:42

This story was originally published on HackerNoon at: https://hackernoon.com/ethos-ex-machina-how-ai-creates-trust-without-truth . AI does not need truth to sound credible. Discover how syntax tricks us into trusting unverified outputs across healthcare, law, and policy. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #machine-learning , #technology , #artificial-intelligence , #llm , #computer-science , #computational-linguistics , #ethics , #legal , and more. This story was written by: @hacker91808649 . Learn more about this writer by checking @hacker91808649's about page, and for more stories, please visit hackernoon.com . AI-generated texts gain trust not through evidence but through structure. Passive voice, fake balance, and false references simulate authority. We must audit how AI speaks, not just what it says, or institutions will mistake form for truth.…

לפני 1 year6:11

6:11

This story was originally published on HackerNoon at: https://hackernoon.com/building-your-ai-radiologist-a-fun-guide-to-creating-a-pneumonia-detector-with-vgg16 . Learn how to build your own AI radiologist with this step-by-step guide! From environment setup to training a VGG16 model to detect Pneumonia in medical images. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #machine-learning , #radiology , #medical-imaging , #medical-tech , #hackernoon-top-story , #ai-radiologist , #ai-radiology , #radiologist-ai , and more. This story was written by: @kisican . Learn more about this writer by checking @kisican's about page, and for more stories, please visit hackernoon.com . Radiology is a field that significantly depends on the expertise of highly skilled professionals.. This is where artificial intelligence (AI) steps in, transforming the field by enhancing human capabilities. By the end of this article, you'll have crafted your very own image classifier model to analyse and detect pneumonia in medical images!…

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Machine Learning Tech Brief By HackerNoon « » How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and Bard

How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and Bard

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Machine Learning Tech Brief By HackerNoon « »
How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and Bard