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While there hasn’t been any official crossover between the VR Beat Saber game and the Star Wars franchise, the inspirations behind the game are clear. like a bada$$ jedi, and tricks you into thinking you have real dance skills. Beat Saber makes you feel Some of us are just trying our best to clear levels on expert mode. However, some more advanced VR gamers have been looking for ways to make Beat Saber more exciting and challenging. If you’re in this camp, and think you have the Beat Saber skills to handle a bigger challenge, look no further than the Darth Maul Mode, also called Maul Saber. In this article, we’ll teach you the quickest way to start playing Beat Saber with a Darth-Maul-Style dual-blade saber (no software mods needed). Table of Contents: What is the Darth Maul Mod (Maul Saber) in Beat Saber? How to Play the Darth Maul Mod in Beat Saber (simple way) Accessories/hardware needed How to set up the game Tips & Tricks What is the Darth Maul Mode in Beat Saber (Maul Saber)? A video says a million words, so let’s take a look at a quick sample by one of my favorite VR YouTubers, Naysy: https://www.youtube.com/watch?v=xCuT0reHXNs?embedable=true the Darth Maul Mode, or Maul Saber mode, is a way to play the VR rhythm game Beat Saber with a dual-bladed saber. Rather than holding 1 controller in each hand, the VR controllers are joined into one extended controller handle. Simply, Obviously, the name is inspired by Darth Maul’s dual-bladed lightsaber in Star Wars. How to Play the Darth Maul Mod on Beat Saber In this article, I’ll explain the quickest and easiest way to set up the Darth Maul mod. I’m sure there are more sophisticated ways to do this, but my setup requires no software mods at all and works with the native Beat Saber game. Quest 2 Accessories / Hardware Needed VR Headset: I tested this with the Oculus Quest 2, but it should work with any VR headset Beat Saber Game Specialized VR controller handle: I used ’s All-in-One Fitness Handles ZyberVR The ZyberVR All-in-One Fitness Handles This accessory from ZyberVR is versatile and can be used for more than just Beat Saber. However, when testing it out, I found Beat Saber to be by far the most fun and most natural game to use the in. All-in-One Handles The handle can be taken apart and used in Double Stick Mode for games like Blade and Sorcery. It’s also been optimized to simulate a golf club grip for games like Walkabout Mini Golf. However, for this Darth Maul Beat Saber mod, we’ll be using the Long Handle Mode. How to Set it Up After you’ve attached your controllers to the accessory in Long Handle Mode, the next step is to simply set up the game. Open Beat Saber Step 1. In the options menu, click the “No Arrows” setting. Step 2. Optional: Until you get the hang of it, I’d recommend turning on “No Bombs” as well and playing in easy mode. Load up your favorite song and give it your best shot! Step 3. Tips & Tricks Secure the Controllers Tightly The most important thing to do BEFORE you play is to that the buckle on the controller is secured and locked in. be 100% sure When you really get into it, you’ll be twisting and swinging the staff around like a Shaolin monk trained in ancient martial arts. The problem with that is the controllers will be moving in high velocity and if they come lose, they’ll be thrown from the handle like projectile. I learned this the hard way and almost broke an overhead lightbulb. Give Yourself More Space You’ve learned the space needed for Beat Saber based on holding the controllers directly in your hands. That means the only room your needed was equal to a little bit more than your wingspan. The ZyberVR dual-handle controller staff accessory is exactly that: a long staff. It is around 26 inches in length and you should you normally use in Beat Saber to play with the Darth Maul Beat Saber mod safely. aim for double the space Final Thoughts We tried this mod using the ZyberVR long handle controller accessory shown above. But it can work with any similar device. Let me know what you think about this mod and if you know better or more sophisticated ways to set it up! Interested in reading about other VR peripherals? Check out my other reviews: : Haptic Feedback is the Next Step in VR Bhaptics Haptic Vest Review Provolver VR Pistol Review

How to Play Darth Maul Mod in Beat Saber (The Simple Way)

229 Stories To Learn About Data Analytics

"THE WHEEL OF FORTUNE."

153 Stories To Learn About Vr

This set of questions and answers presents a historical perspective on when things happened. My idea here is to use these data points and events in the development of a science fiction tale. But the info presented is useful for general reference. Give me a timeline of advances in computer power from 1955 to present. Sure, here is a timeline of advances in computer power from 1955 to present: 1955: The UNIVAC I is released. It is the first commercial computer to use vacuum tubes, and it has a speed of 1,900 operations per second. 1965: The IBM 360 is released. It is the first computer to use integrated circuits, and it has a speed of 17,000 operations per second. 1971: The Intel 4004 is released. It is the first microprocessor, and it has a speed of 740,000 operations per second. 1975: The Apple II is released. It is the first personal computer to be mass-produced, and it has a speed of 1.2 MHz. 1981: The IBM PC is released. It is the first IBM-compatible computer, and it has a speed of 4.77 MHz. 1985: The Macintosh is released. It is the first personal computer to use a graphical user interface, and it has a speed of 8 MHz. 1993: The Pentium processor is released. It is the first 32-bit processor, and it has a speed of 60 MHz. 2000: The Pentium 4 processor is released. It is the first 64-bit processor, and it has a speed of 1.4 GHz. 2006: The Intel Core 2 Duo processor is released. It is the first dual-core processor, and it has a speed of 2.13 GHz. 2011: The Intel Core i7 processor is released. It is the first quad-core processor, and it has a speed of 3.4 GHz. 2017: The Apple A11 Bionic processor is released. It is the first 7-nanometer processor, and it has a speed of 2.39 GHz. 2022: The Apple M2 processor is released. It is the first 5-nanometer processor, and it has a speed of up to 3.5 GHz. As you can see, the pace of advancement in computer power has been exponential. In just over 60 years, we have gone from computers that could only perform a few thousand operations per second to computers that can perform billions of operations per second. And this trend is only going to continue. As we continue to develop new technologies, such as quantum computing, we can expect to see even more dramatic advances in computer power in the years to come. Give me a similar timeline for big iron computers, mainframes please. Sure, here is a timeline of advances in big iron computers, mainframes, from 1955 to present: 1955: The UNIVAC I is released. It is the first commercial mainframe computer, and it has a speed of 1,900 operations per second. 1964: The IBM System/360 is released. It is the first mainframe computer to use integrated circuits, and it has a speed of 17,000 operations per second. 1971: The IBM System/370 is released. It is the first mainframe computer to use multiple processors, and it has a speed of 100,000 operations per second. 1983: The IBM 3090 is released. It is the first mainframe computer to use 32-bit processors, and it has a speed of 1 million operations per second. 1990: The IBM ES/9000 is released. It is the first mainframe computer to use 64-bit processors, and it has a speed of 10 million operations per second. 2000: The IBM zSeries is released. It is the first mainframe computer to use multicore processors, and it has a speed of 100 million operations per second. 2010: The IBM zEnterprise is released. It is the first mainframe computer to use 128-bit processors, and it has a speed of 1 billion operations per second. 2020: The IBM z15 is released. It is the first mainframe computer to use 256-bit processors, and it has a speed of 10 billion operations per second. As you can see, the pace of advancement in mainframe computer power has been just as impressive as the pace of advancement in personal computer power. In just over 60 years, we have gone from mainframe computers that could only perform a few thousand operations per second to mainframe computers that can perform billions of operations per second. And this trend is only going to continue. As we continue to develop new technologies, such as quantum computing, we can expect to see even more dramatic advances in mainframe computer power in the years to come. It is important to note that mainframe computers are not just faster than personal computers. They are also more reliable, secure, and scalable. This is why mainframe computers are still used by many large organizations for critical applications, such as banking, insurance, and telecommunications. Give me a timeline of ML and AI and LLM development from 1950 to present. Sure, here is a timeline of ML and AI and LLM development from 1950 to present: 1950: Alan Turing publishes "Computing Machinery and Intelligence" which proposes a test of machine intelligence called The Imitation Game. 1952: Arthur Samuel develops a program to play checkers, which is the first to ever learn the game independently. 1957: Frank Rosenblatt introduces the perceptron, a simple neural network that can be trained to recognize patterns. 1965: Marvin Minsky and Seymour Papert publish "Perceptrons", which shows that perceptrons are limited in their ability to learn complex patterns. 1974: Geoffrey Hinton, David Rumelhart, and Ronald Williams introduce backpropagation, a method for training neural networks that is much more effective than previous methods. 1980: Tomaso Poggio and Christopher Koch propose the computational theory of visual cortex, which provides a theoretical framework for understanding how the brain processes visual information. 1986: Yann LeCun trains a convolutional neural network to recognize handwritten digits, which is a major breakthrough in the field of computer vision. 1997: IBM's Deep Blue defeats Garry Kasparov, the world chess champion, in a chess match. This is a major milestone in the field of artificial intelligence, as it shows that a computer can now beat a human at one of the most complex games in the world. 2006: Geoffrey Hinton, Ruslan Salakhutdinov, and Ilya Sutskever introduce the word2vec algorithm, which is a powerful method for representing words as vectors. 2012: Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton introduce the AlexNet neural network, which achieves state-of-the-art results on the ImageNet image classification challenge. 2017: OpenAI's GPT-2 language model is released, which is able to generate text that is indistinguishable from human-written text. 2022: Google's PaLM language model is released, which is able to perform a wide range of tasks, including answering questions, generating text, and translating languages. As you can see, the development of ML, AI, and LLMs has been rapid in recent years. This is due to a number of factors, including the availability of large datasets, the development of new algorithms, and the increasing power of computers. It is likely that this trend will continue in the years to come, and we can expect to see even more impressive advances in ML, AI, and LLMs in the future. Conclusion That is the end of our conversation and its transcript for now. In this case Bard’s replies are more or less the result you’d expect from a polished search. Worthwhile tabulation I think. Hope you enjoyed it. As always Comments Criticisms and Suggestions are welcome! Thanks for reading.

Google Bard Presents Timelines for Computer and AI Development

In June, the young family of generative AI (gen AI) unicorns suddenly got a new member. Inflection AI ripped the chart suggested by CBInsights just a month before and got onto the third position, dethroning Cohere AI. So we have to oblige, and after covering two Gen AI leaders OpenAI and Anthropic, we dive into the precocious startup, Inflection AI. Having introduced its core product, an AI assistant named Pi, in May and published a memo about Inflection-1, a Large Language Model ( ) behind Pi in June, Inflection AI took the industry by storm the same month with an astonishing $1.3 billion in funding and a $4 billion valuation – all within its first two years of existence! LLM The company's sudden surge owes much to the attraction of high-profile investors, including technology luminaries such as Bill Gates, Eric Schmidt, and Reid Hoffman (also a co-founder), along with tech giants and . These financial ties extend beyond mere investments. Microsoft is providing its cloud computing infrastructure to strengthen Inflection's capabilities, while Nvidia, in partnership with CoreWeave, is integrating 20,000 of its H100 GPUs for LLM training. Microsoft Nvidia Let's dive deeper and discover more about the founders, their vision, the development behind the model powering Pi, and other crucial details. Finding them was not that easy! Content Overview The starting point of Inflection Financial and legal situation Mission of Inflection and its founders First product Tech behind Pi (LLM development facts) How Inflection is going to make money? Founders’ attitude toward AI risks A few not widely known facts about Inflection's founders 1. The starting point of Inflection According to the official information, Inflection AI has three founders: Karén Simonyan (Chief Scientist and Co-founder) Reid Hoffman (Co-founder) Mustafa Suleyman (CEO and Co-founder) , Inflection hasn't been very transparent with independent media. Some information available that extends beyond mere press releases or PR work stems from the podcast hosted by Reid Hoffman for Greylock Partners (a VC fund where Hoffman has been a partner since 2009). In January 2022, announcing Mustafa Suleyman as a new partner in Greylock Partners, Reid Hoffman : “I’ve known Mustafa personally for more than a decade. We first met at a pub in London. What struck me most was our inspiring and provocative discussion on the power and potential of AI to help solve some of humanity’s most urgent challenges. It marked the beginning of a deep and lasting friendship between Mustafa and I.” Operating with a low profile said More than a decade ago from 2022 was about a time when Mustafa Suleyman (along with Demis Hassabis and Shane Legg) co-founded DeepMind, one of the first AI research labs. In 2014, it was acquired by Google ( ). In January 2022, Suleyman left Google, joined Greylock Partners, and now the main AI R&D is led by the new structure called Google DeepMind in March 2022, Inflection was born (incubated by Greylock). Located in Palo Alto, California. Introducing Inflection AI on the Greylock website, Suleyman called it an "AI-first consumer products company." However, at that moment he didn't clarify exactly what that meant. 2. Financial situation and legal situation In May 2022, in equity financing, though the source of the capital wasn't immediately clear as Inflection didn't respond to the request for more information. Subsequently, when Inflection announced the $1.3 billion funding round in 2023, they clarified in that the first round was raised from Greylock, Microsoft, Reid Hoffman, Bill Gates, Eric Schmidt, Mike Schroepfer, Demis Hassabis, Will.i.am, Horizons Ventures, and Dragoneer. TechCrunch that Inflection had secured $225 million reported the official press release At some point, the information on Inflection's website changed to describe the company as an "AI studio creating a personal AI for everyone." They chose the same legal structure as did Anthropic: , a new type of corporation to balance the interests of shareholders, materially affected individuals, and the public good. public benefit corporation 3. Mission of Inflection and its founders Introducing Inflection, as always, on the Greylock podcast, , "Our mission was to build a tool that is designed to understand the user, rather than the other way around. We wanted it – whether that be connecting with other human beings, making decisions, figuring out how to navigate a problem at work, or more.” Reid Hoffman said to be more than an answerer of questions but a participant in the dialogue that helps you along your life's path Throughout other interviews about Inflection and its first product Pi, they used words such as 'reliable,' 'ever-present,' 'non-judgmental,' 'kind,' and 'supportive’. To get to the point where a chatbot can be all this sounded like a mission. 4. First product In May 2022, Inflection AI shipped its first core product – Pi, a chatbot with the primary goal to serve as a 'Personal AI'. It’s said that Pi uses emotional intelligence to aim for human-like conversations. While its use case is narrower than other services like ChatGPT, Google’s Bard, or Microsoft’s Bing chatbot, it strives to mimic human conversation patterns. Pi's training incorporates data up to November 2022, and it is committed to user privacy, refraining from using identifiable information in training. WhatsApp, Instagram PMs, Facebook Messenger, iMessage, or via the website – the ways to talk to Pi. The main difference from the most commonly used LLM products is the Pi remembers communications with you. The chatbot is also made to resist starting to flirt with a user. Named for "personal intelligence", Pi functions in several roles like teacher, coach, and confidante, designed to align with individual interests and needs. 5. Tech behind Pi Not much is known about the technology behind Pi. However, a month after its launch, the company revealing its foundation on the proprietary LLM, Inflection-1. According to the website, Pi doesn't utilize any third-party language model APIs. released a memo In the memo, the company stated: "The Inflection-1 architecture, dataset, and training procedure are proprietary, and we omit their details in this memo." What we do know is that Inflection-1 demonstrated impressive performance on the Massive Multitask Language Understanding (MMLU) benchmark, surpassing other well-known LLMs such as Meta's LLaMA, OpenAI's GPT 3.5, and Google's PaLM 540B, particularly in answering trivia questions. Additional information from Inflection's partner, CoreWeave's official website, that Inflection AI utilized 3,500 NVIDIA H100 Tensor Core GPUs and a cluster comprising over 40,000 cables and 500 miles of InfiniBand fiber cables for MLPerf Training benchmark competition submission, achieving an impressive 11-minute training benchmark. confirms , that Inflection AI is working on a cutting-edge supercomputer equipped with 22,000 NVIDIA H100 GPUs that is expected to be one of the largest In the industry, right behind AMD's Frontier. However, there's some debate regarding the true computational power of this setup. While Inflection AI claims that these GPUs could provide 22 exaflops in 16-bit precision mode, suggest that the actual performance might not meet these expectations. There are rumors calculations by The Next Platform Though the model is proprietary, the references that are mentioned in the do not list any in-house research papers. official memo 6. How Inflection is going to make money? There are many unknowns at the moment. The developers are exploring different monetization strategies, including the possibility of adding subscription options. Another option is to keep it free but use ads to earn revenue. Currently, Inflection AI is a free platform available to everyone worldwide. On our request to learn more about the business model, neither Reid Hoffman nor Mustafa Suleyman replied. In another podcast with Reid Hoffman, Mustafa Suleyman stated, “ And likewise, we sort of don’t want to drive the kind of addictive dopamine hits of outrage or anger or despair or viral misinformation. These kinds of things have really incentivized people to spend longer on the platform, and sometimes that’s because they’re getting paid for it. We are very, very conscious that this is a moment that needs to change with AI, and that new business models need to emerge to address this." It’s really important to us that we figure out a monetization mechanic that doesn’t incentivize us to keep you engaged or maybe distracted on the platform for as long as possible. 7. Founders’ attitude toward AI risks Reid Hoffman intentionally chose to be positive about AI. , “So in recent months, He has done so in blog posts, television interviews, and fireside chats. He has spoken to government officials around the world. He hosts three podcasts and a YouTube channel. And in March, he published a book, “Impromptu,” co-written with the A.I. tool . The New York Times reports Mr. Hoffman has engaged in an aggressive thought-leadership regimen to extol the virtues of A.I. GPT-4 “I’m beating the positive drum very loudly, and I’m doing so deliberately,” he said. The 55-year-old sits on the boards of 11 tech companies including , which has gone all in on AI, and eight nonprofits. His venture capital firm, Greylock Partners, has backed at least 37 AI companies.” Microsoft , Reid Hoffman said that the , He thinks that since technology 'always puts tools in the hands of good and bad actors,' throughout our history, we have learned how to figure this out. In the same interview, he said, ' . In an interview to Washington Post conversations about superintelligence divert us from the real risk which is AI in the hands of bad actors. Part of the reason why I beat the drum so firmly in the positive camp is not that I'm risk unaware, and I think we need to navigate them, but oh, my gosh, every month we delay an AI tutor and doctor, for everyone who has a smartphone or has a friend who has a smartphone, just think about the human suffering that is caused by that delay, and that is super important This story was at Turing Post. Consider to receive new episodes straight to your inbox. originally published ing subscrib 8. A few not widely known facts about Inflection Founders Reid Hoffman Reid Hoffman ( ) is among a small group of interconnected tech executives leading the A.I. charge, many of whom also led the last internet boom. on Twitter He is part of the "PayPal Mafia," a group of former PayPal employees who went on to become successful entrepreneurs and investors in the tech industry. Reid Hoffman's entrepreneurial journey has been marked by resilience and determination. After his failure with SocialNet, he became obsessed with scaling and invested heavily in the social networking phenomenon, which eventually led to the co-founding of LinkedIn, the world's largest professional network with a diversified revenue model that includes subscriptions, advertising, and software licensing. He also led the company to its successful acquisition by Microsoft. One of the first investors in OpenAI, he was sitting on its board until March 2023, stepping down to avoid any conflicts of interest with Inflection AI. He still sits on the Board of directors at Microsoft. Reid Hoffman is a proponent of effective altruism (founders of OpenAI and Anthropic have strong ties with EA also), which advocates for using wealth and resources to create the best for the most people. In 2017, he : “If you have wealth, and at least a reasonable moral compass, to ask, “How do you create the most good for the most people?” I’m not saying this is the perfect system. But what’s the better system?” said to the Atlantic Reid Hoffman is a prominent philanthropist and has invested in impact investments through charitable entities. over $1.5 billion Hoffman is an avid fan of Dungeons & Dragons, and he attributes its influence to his thinking about life as a heroic quest with various players coming together to accomplish something. He believes in the power of friendship and considers it the true center of his life. Reid views friendship as a skill that can be learned and improved through asking questions and interacting with others. Mustafa Suleyman ( ) on Twitter He dropped out of Oxford University at 19 to start the Muslim Youth Helpline, a telephone counseling service for Muslims in the UK. He worked as a policy officer on human rights for Ken Livingstone, the Mayor of London, before founding Reos Partners, a ‘systemic change’ consultancy that uses methods from conflict resolution to navigate social problems. In February 2016, Suleyman launched DeepMind Health at the Royal Society of Medicine, a project that builds clinician-led technology for the NHS and other partners to improve frontline healthcare services He received the Commander of the Most Excellent Order of the British Empire (CBE) in 2019 for his influence in the UK technology sector and also accepted the Silicon Valley Visionary Award the same year Within DeepMind, he established the DeepMind Ethics & Society research unit, aiming to study the real-world implications of AI and promote ethical practices in the technology industry. One of the founding members of the Partnership on AI — an organization set up in September 2016 to ensure that AI is developed safely, ethically, and transparently — along with Facebook's AI head Yann LeCun, Microsoft Research director Eric Horvitz, and several others. Suleyman recently proposed a modern Turing test, , “to measure whether a machine has achieved ACI, you give an AI $100,000 and see if it can turn the seed investment into $1 million. To do so, the bot must research an e-commerce business opportunity, generate blueprints for a product, find a manufacturer on a site like Alibaba and then sell the item (complete with a written listing description) on Amazon or Walmart.com.” Suleyman expects AI will pass this more practical threshold sometime in the next two years. according to Bloomberg Karén Simonyan There is much less information about Karén Simonyan. Karén is not active on social media, he has no Twitter, a barely filled , and a well-developed . LinkedIn account Google Scholar page Education & Career History: 🔬 Chief Scientist, Inflection AI (2022 – Present) 🔬 Research Scientist, DeepMind (2014 – 2022) 🔬 Postdoc, University of Oxford (2013 – 2014) 🔬 Ph.D. student, University of Oxford (2009 – 2013) While doing his postdoc in 2013, in Oxford, Karén Simonyan along with Andrew Zisserman created the VGGNet image processing framework. VGGNet won the prestigious ImageNet Challenge. To commercialize it, they created a company Vision Factory AI, which was soon acquired by a not-very-known at that time startup DeepMind Technologies, where in 2014 Simonyan became a Principal Research Scientist. There, he played a key role in various AI breakthroughs, such as AlphaZero, AlphaFold, WaveNet, BigGAN, and Flamingo. While in DeepMind, Karen authored and co-authored numerous publications, including five papers in Nature and Science, accumulating an impressive 180,000 citations. Since he co-founded Inflection AI, only one paper was published with Karén Simonyan as a co-author . HiP: Hierarchical Perceiver That’s it for now. The information about Inflection AI will be constantly updated… Thank you for reading, please feel free to share with your friends and colleagues. This story was at Turing Post. Consider subscribing to receive new episodes straight to your inbox. originally published

The Inflection AI Story: How a Secretive Unicorn Reached a $4 Billion Valuation

178 Stories To Learn About Customer Experience

It’s early Tuesday morning, and I am again in the metro, going to a location in Prague I have never been to before. People are quiet on the train, thinking about their lives. I saw just a few people not looking at their phones. Have we become humanity addicted to some shiny devices and so-called “technologies”? That could be another topic. Now, I am going to the second day of Prague. DevOpsDays2023 The hotel welcomes me with many tobacco smokers outside and a strange facade. I am in the right place because I saw familiar faces and heard someone talking about Jenkins. I took the elevator to the conference area and headed to the registration. A lovely girl said to me after I got my welcome pack. I said back. I told myself something was wrong. See, sweet girls never say hello to me like that. hello hello Then I remembered I am in a friendly company because DevOps is not only about technologies but also about the mindset of being nice to others. I met a few great people I worked with and then went to the conference room. I expected more attendees. The room was 80% full. It may be too early. I was just on time for the first speaker. Ben Hirschberg – Unpacking Open Source Security in Public Repos & Registries Ben is representing a company called ARMO which deals with . I discovered their free scanner while trying to convince some of my stakeholders that we are shipping not-so-well-secured containers. I was eager to learn more. container security Armo’s team researched and compared the vulnerabilities they discovered in two large groups: All open-source projects in Github as one group and a group of so-called ” from CNCF as the second. He showed the security findings in both groups, leaning towards the intention that the graduated projects are a bit more secure (in most areas). We should investigate how they did it and apply it on our own. “graduated projects The other exciting point I have struggled with is that we should investigate critical /high CVEs found during the scan because they could not be exploited in particular cases. Usually, this is part of the remediation activity, but I know of some companies that want their containers clean, no matter what. This struggle sometimes causes a lot of friction within the teams. He also showed some use cases to support that. The CVE scanners are good conversation starters, but the human element is needed to do the analysis and prepare the remediation plan. I don’t expect the AI to do this now, but this will be the future. Paul Bruce – Re-growing a DevOps Community (in Boston) Considering the title, the second talk would be boring. I was wrong. Paul took us through a growth journey, and he challenged me and most of the audience to think about diversity, community, and true belonging. Even though his talk was about some efforts in a different country, I learned a lot about working and building a community. This is a vital tool on your tool belt of (professional) life. I am a visual person. When he shared a picture of grass in the parking lot, I immediately thought: everything is possible. Then he said the same with his own words. We need to look for possibilities, specifically in unusual places. The beauty of life doesn’t lie in the known. Nobody cares about a beach full of beton, but most people will smile and be happy seeing a flower pushing through the horror and bringing something beautiful to the world. This also applies to personal and work relations. Right? I wanted to spend more time with Paul while he was in Prague, but I didn’t make it. He is a very insightful person to learn from. So next time you end up in an event near him, say hi and soak some wisdom. Break; One of my favorite parts of any event is the “free” coffee. Ok, you got me, it’s the “free” beer, but it was 10:30, and I don’t like drinking in the morning. The coffee breaks are an excellent way to support conferences by visiting sponsors’ booths. Because of them, such events exist. community The second best use of the breaks is to meet people. I prefer to avoid meeting new people. I get nervous most of the time when I have to talk to an entirely stranger person. I know I am weird. I stayed within my comfort zone by talking to people I already knew. If you like meeting people, use the coffee break to enlarge your horizon. I went back to the room after gulping a disgusting cup of coffee. Instant coffee is different from my thing, but I needed the caffeine. I went back to the room to meet the next fantastic speaker. Sowmya Sridharamurthy – TestOps? well, never mind Doing proper testing is a hoax. We always do it in a way that goes against the value and the experience within the quality team. On the other hand, the level of testing desired by the same team could be more business justifiable. This, of course, is my sole opinion. Sowmya focuses on an exciting intersection between Operations and Testing. Testing has a very low priority in the modern DevOps world. Everyone knows that we need to ship faster quality software. Surprisingly the team responsible for this part needs to be addressed. Their proposals for improvements, tools, and processes often go to . /dev/null I learned a lot from this talk. If I have to pinpoint one: Automation is the key, but you need to talk to your quality professionals to achieve that. So why don’t you start this conversation now? Can you also ensure you have covered the whole 9 yards of testing? Michael Man – Overcoming the DevSecOps Imposter Syndrome The Security component that puts the Sec part into the is vast. Often one might feel insecure in their knowledge just because we aim to focus on many things simultaneously. DevSecOps Michal covered how he solved such a problem himself. The key is to identify what area to focus on and the gaps you have in your knowledge and prepare a learning plan. Mental health is essential. Take care of yourself and reach out for help. The Cuber Security community will help you. Intermission Two cups of espresso later, I get tired of writing about my great DevOpsDays experience. My energy level is getting low, and I want to go and walk the dog now. While I am doing this, please reflect on the learnings from today: Opensource is secure; There are good examples you could follow. What steps are you going to take next? You could find beauty and inspirational ideas mostly in unusual places. What does that mean to you? Can we deliver quality software without testing? Who can tell? Continuous learning is an excellent way to beat the Impostor syndrome. What are you going to learn next? Why don’t you take a short walk as well? See you in 15 minutes. Open Spaces I am back. I hope you had a refreshing break in the open. I’m not too fond of commercial conferences because you always have many more questions and topics, and there is no venue to discuss them. DevOpsDays Prague fixes that by running an Open Space where you can propose your topic, get the people interested in discussing it, and a room or a space where you do that. I stayed for three sessions, but I contributed to two. Usually, the Vegas rule applies, so I am not going to share what we have discussed, but I am free to share what I have learned: One topic could explode into more subjects, making the whole conversation unfocused and wasteful. The main topic of the room was , but we ended up in a heated discussion about the entire Diversity and Inclusion subject, and we achieved nothing. Gender gaps in communications The second open space I visited was called “Where are the Business people.” The room needed help to identify why they needed business people and why they were interested in finding them. We have yet to reach an agreement on the goal of the session. We shared some event names where people go, and that’s all. The third discussion was about the Impostor Syndrome and how to overcome it. The meeting went south, and many people could not share their opinions, wasting good intentions. Putting some tiny structures in the Open Spaces and focusing the energy in the right direction could produce beautiful results beneficial for everyone present. I’ve seen this working! Kudos I took the metro back to my area of Prague, still observing people around me. I am curious. I went back home full of energy and new knowledge. I know how hard it is to organize an event like this. I am speaking from experience. I have organized more than 30 of those. Kudos to the whole crew of DevOpsDays 2023, who did this in their free time without any benefits except for the joy of providing the others with a place to meet and discuss common topics. You should be proud of yourselves! Also published here.

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INBEAT

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