Humanity Has Prevailed  ## Metadata - Author: [[The Changelog: Software Development, Open Source]] - Full Title: Humanity Has Prevailed - Category: #podcasts - URL: https://share.snipd.com/episode/359b92cd-1db4-4a77-92bc-aa6a7537d076 ## Document Notes ## Highlights - **Human Beats AI in Coding Marathon** - Polish programmer Przemysław Dębiak beat an advanced OpenAI AI model in a 10-hour coding marathon. - He proved human skill still matters, despite exhaustion from only 10 hours of sleep in 3 days. Transcript: Jerod Santo Humanity has prevailed. For now. Last Wednesday, a Polish programmer, Shemislav Debiak, did what may soon be impossible. He beat an advanced AI model from OpenAI in a 10-hour head-to coding marathon. Quote, the competition required contestants to solve a single complex optimization problem over 600 minutes. The contest echoes the American folktale of John Henry, the steel-driving man who raced against a steam-powered drilling machine in the 1870s. Like Henry's legendary battle against industrial automation, Debiak's victory represents a human expert pushing themselves to their physical limits to prove that human skill Still matters in an age of advancing AI. For his efforts, Debiak won 500,000 yen, that's about 3,400 USD, and had the following to say on X. Quote, humanity has prevailed for now. I'm completely exhausted. I figured I had 10 hours of sleep in the last three days and I'm barely alive. ([Time 0:00:54](https://share.snipd.com/snip/61d69ac3-6699-4b2c-900a-d0a0bb31bf47)) - **Linux Desktop Gains Market Share** - Linux has surpassed 5% desktop market share in the US, signaling growth for open-source desktop OS. - This rise is fueled by privacy concerns, customization needs, and costs of proprietary systems. Transcript: Jerod Santo Linux breaks 5% desktop share in the US. Is the year of the Linux desktop finally upon us? Quote, in a landmark shift for the computing landscape, Linux has finally crossed the 5% threshold in desktop market share within the United States, marking a pivotal moment for open-source Software enthusiasts and industry observers alike. This surge reflects broader dissatisfaction with dominant players like Microsoft Windows and Apple Mac OS, driven by factors including privacy concerns, customization demands, And the rising cost of proprietary ecosystems, end quote. According to the report, analysts are eyeing 7% by 2027. ([Time 0:01:57](https://share.snipd.com/snip/fb6e3478-d556-44cf-a63b-20cd5b5bc9b5)) - **Plan Your Backup System** - Start any backup system plan by asking key questions about risk, data to protect, and downtime tolerance. - Decide early whether to back up full disks or individual files and consider using snapshots wisely. Transcript: Jerod Santo Stefano Marinelli is writing a series on making your own backup system, and if part one is any indicator, it's going to be an absolute banger. After describing his general philosophy around backups, which is that data must always be restorable in an open format and consistent, Stefano helps us develop a plan. Quote, before touching a single file, you must start with a plan and that plan starts with asking the right questions. How much risk am I willing to take? What do I need to protect? What downtime can I tolerate in case of data loss? What type and amount of storage space do I have available? End quote. Click through if you want Stefano to help you with a core decision, which is full disk versus individual files. To read about the power of snapshots and for him to weigh in on the age-old question, push or pull. ([Time 0:02:41](https://share.snipd.com/snip/ead80f7a-e1c4-4afd-8c36-d4815c8049f5)) - **Switching to Python Success** - César Soto Valero switched to Python and found its ecosystem, speed, and syntax surprisingly improved. - He praises Python tools like UV package manager that solve previous pain points in managing third-party code. Transcript: Jerod Santo I'm switching to Python and actually liking it. Six months ago, Cesar Soto Valero started coding in Python because AI and was surprised by how much it has improved over the decades. He gives three examples. One, Python created a very complete ecosystem of libraries and tools for processing and analyzing data. Two, Python has gotten faster with optimized static compilers like Cython. Three, Python has done a good job of hiding its legacy ugliness, sweetening its syntax to accommodate developers. In this post, Cesar shares the tools, libraries, configs, and other integrations that bring him joy while building Python apps. Notably, he's using UV as his package manager, which I'm hearing has largely solved one of Python's biggest pain points, managing third-party code. ([Time 0:04:15](https://share.snipd.com/snip/6a4a52e1-fa6c-42db-acb5-1cac6c99514d)) - **AI Output Lacks Proof of Thought** - AI-generated text lacks the "proof of thought" humans provide, risking unintentional legitimacy when shared without disclosure. - It's rude to pass off AI output as human writing since reading used to guarantee human effort. Transcript: Jerod Santo It's rude to show AI output to people. Alex Martinovich says what we've all been thinking. Quote, for the longest time, writing was more expensive than reading. If you encountered a body of written text, you could be sure that at the very least, a human spent some time writing it down. The text used to have an innate proof of thought, a basic token of humanity. There's nothing wrong with using AI. When you do, you know what you're getting. The transaction is fully consensual. But when you propagate AI output, you're at risk of intentionally or unintentionally legitimizing it with your good name, providing it with a fake proof of thought. ([Time 0:05:09](https://share.snipd.com/snip/16477ef5-3bcb-4962-8311-226f02c86d09))