There is this study (arXiv:2308.02312v3) about ChatGPT as a software coding assistant when compared to Stack Overflow. I write code every day and although I have used ChatGPT in the past for this purpose, I have a bias towards believing that humans answering on Stack Overflow would be better. Apparently the study findings below confirm my beliefs. But maybe, just maybe, LLM tools can be specialized or improved to be better than the amazing Stack Overflow. Anyway, I would never rely on LLM for a complete app refactor or overall design, since it requires architectural knowledge, real life experience, lessons learned, context around and strategic vision, multidisciplinary features of grown up, real, human, experienced software engineers.
On this day, but in 1962, the world was saved from destruction because Russian commander (pictured) Vasily Aleksandrovich Arkhipov (Василий Александрович Архипов – appreciate the Russian Cyrillic alphabet) refused to launch a nuclear torpedo from his submarine while two other officers on board were in favor of doing so.
“Relaxing Orient” is an album I’ve been listening to for years to meditate, relax, calm down, or work with focus. It consists of 21 instrumental tracks, virtually percussion-free, very slow, and featuring textures, melodies, and instruments from the Far East. It takes me on a journey.
I’m a serial unsubscriber — absolutely ruthless when it comes to keeping my inbox in order. If I get a new ad or newsletter on my inbox I immediately scroll to the end of it to click on the tiny “unsubscribe” link. I admit I have great pleasure doing this without even seeing the ad.
In this extensive article, Jon “MadDog” delves into the behind-the-scenes narrative of how Linux and Open Source gained acceptance within the corporate sphere, eventually establishing itself as the dominant platform in today’s enterprise information technology. It has become the operating system powering contemporary cloud infrastructure and, most notably, has transformed into the primary methodology for driving software innovation.
Apple has once again made waves with their latest release, the Vision Pro. The mere fact that this new device ensures legible text for its users sets it years ahead of competitors like HTC and Meta. Not to mention the array of groundbreaking sensors, user-friendly interface, and independence from a computer. It’s important to note that this is just the initial version, with much more to come.
The story of the first digital computers, since a phenomenon observed in Edison’s light bulb, through 2 bit logic operations, through triodes and vacuum tubes, up to the ENIAC, capable of doing astonishing 500 math operations per second, and running without failure for a maximum of 116 hours.
As a matter of comparison, your smartphone can do almost one trillion math operations per second with just a tiny fraction of the required energy. Your smartphone is 2 billion times faster than the first, commercial large and expensive digital computers of the 1940’s.
This diagram highlights the importance of Machine Learning Engineering for Data/AI projects and the community. And it doesn’t even show one of my favorite topics: software design patterns, an outrageously important subject that helps with code maintainership, extensibility, standards, organization, beauty, which in turns help with (much) higher productivity of Data professionals.
But Data Scientists can’t do it alone, or by themselves. Read on.
I see that software engineering, IT architecture is a touchy subject amongst even the best data scientists, usually because they came from other knowledge domains as economy, statistics, pure math, physics, biology etc. This is a normal evolution. Data Science demands a wide broad skill set, sometimes too wide and too broad. Data Scientists need to handle Docker and HTTP APIs along with outliers, RMSE, ROC curves and Gaussian distributions. Go figure…
ML engineers — usually folks that have more software engineering background — should help here.
But the most important thing ➔ it is the mission of the CDO, tech lead or CTO with strategic vision to clearly detect these gaps and design a roadmap to handle them, not just with conventional training but also encouraging mixed squads whose members will exchange skills and knowledge, leveraging multi-disciplinar environments where everybody grows together.
This is what GPT “knows” about me. More precisely, this is the sequence of words GPT generates when asked with that specific prompt.
First paragraph is 100% correct.
Second is kind of 50% (in)correct and outdated. I do Fedora, not Debian nor Ubuntu, I’ve contributed to several FOSS projects, but never to Apache HTTPD, and I did work for IBM, but never to Red Hat.
Third paragraph he completely confused me with one of my relatives that have same last name but different first name.
Also, I think GPT would have a different perspective about me if blog posts in social media, such as Facebook, would be part of its training dataset. But it can’t because Meta won’t allow open access to their platform even if I post openly there.
In this updated edition of the late Stephen R. Covey’s bestseller, Sean Covey draws on ancient wisdom, modern psychology and 20th century science and wraps the mix in a distinctively American can-do program of easy-looking steps calling mostly for self-discipline. This classic – now in a new 30th anniversary edition with a foreword by Jim Collins – is a popular, trusted manual for self-improvement, although you still may find some prescriptions easier to agree with than to act upon.
With the release of iPadOS 16.2 last December, M1-powered devices can now be used as more beefed up terminals, complete with external physical keyboard, mouse/trackpad and extended screen that can display content and apps different from the main iPad screen (as shows the photo).
Minimum device that supports this is the iPad Air 5th generation (2022) which already features an USB-C port instead of lightning. Then, on this port, you can plug a dongle with HDMI output, power source and more USB ports to connect your human interaction devices. Or connect them through Bluetooth.
This opens the possibility for road warriors to have an even lighter and inexpensive terminal with the iPad, instead of a regular (and problematic) laptop. Then, when at home or office, they can dock it to KVM (keyboard, video, mouse) to experience a more productive workstation.
And yes, I know Android phones can do similar things since long ago. But it doesn’t get widespread or even real until this feature lands on the popular iPad.
Command line on Windows (10+) nowadays doesn’t have to be only PuTTY to a remote Linux machine. In fact many Linux concepts were incorporated on Windows.
Windows Subsystem for Linux
First, activate WSL. Since I enjoy using Fedora, and not Ubuntu, this guide by Jonathan Bowman has helped me to set WSL exactly as I like.
Windows native SSH clients
Yes, it has tools from OpenSSH, such as the plain ssh client, ssh-agent and others. No need for PutTTY.
This guide by Chris Hastie explains how to activate SSH Agent with your private key. I’m not sure it is fairly complete, since I didn’t test yet if it adds your key in session startup for a complete password-less experience. I’m still trying.
It allows defining sessions with custom commands as ‘wsl‘ (to get into the Fedora WSL container installed above), ‘cmd‘, ‘ssh‘. I use tmux in all Linux computers that I connect, so my default access command is:
ssh -l USERNAME -A -t HOSTNAME "tmux new-session -s default -n default -P -A -D"
Windows Terminal app is highly customizable, with colors and icons. And this repo by Mark Badolato contains a great number of terminal color schemes. Select a few from the windowsterminal folder and paste their JSON snippet into the file %HOME%\AppData\Local\Packages\Microsoft.WindowsTerminal_8wekyb3d8bbwe\LocalState\settings.json.
Analysts inform, explain and visualize DATA THAT EXISTS in order to help business executives make strategic decisions. Thus, data analysts live in business meetings, talk to a lot of people and create data visualizations to help others understand what is going on. Tools: SQL, BI, spreadsheets, PowerPoint.
Scientists infer and calculate INFORMATION THAT STILL DOESN’T EXIST, such as the future, usually in order to optimize each and every business transaction. Example: if you like this one product, you might also like that other product. Example: according to data from surroundings, this house price should be around $X. Example: I learned how cars look like, so there is 98% chance there is a car in this photo. Thus, they create or improve digital products using machine learning and applied statistics. To create such improved user experiences, first data scientists use advanced exploratory data analysis techniques, create data visualization only for themselves, only for their better comprehension of what is going on. Tools: SQL, Pandas, math and statistics, git, programing, containers, Linux.
Data analysts tend to have a more glamorous job, while data scientists job is more hard skills oriented. Both need to work with large amounts of information, such as tables with millions or billions of data points.
There is also the Data Engineer role, which is as important as these other data professions, and focused on data availability, consistency and performance.
The Windows-based laptop market is a bad joke of confusing, overlapping offerings. It operates almost like a scam to underskilled consumers because manufacturers try hard to increase their profit around a purely commodity product. The results are “creative” but quite useless features as detachable keyboards, pens and tablet PCs. If you have one of those, think about the rare situations you actually used them in a comfortable way.
For a general use laptop, a $1000 MacBook Air has all the features you need, in order of importance: great high density screen (a.k.a. Retina display, most important feature, always), light and small and elegant, fast internal storage, outstanding global customer service, enough RAM (8GB minimum, 16GB recommended), modern connectivity with USB-C. Oh, and a good CPU too.
Don’t go for less than that and be aware that a similar feature set in the Windows universe will have same price, if not more. But it will be hidden under a pile of confusing, overlapping and oversized configurations.
This post was written for your private life laptop consumer self, to help you buy your next good laptop. Not for your corporate self.
Java 18 was recently released and I can’t help reminding you that Java is the new Cobol: everybody heard about it, even have some legacy in production, needs to be supported, is important, but please don’t ask me to start any new project with Java, because there are much better things I can use today.
Get ready to say goodbye to password managers or even all your passwords. Thanks to FIDO, the industry is shifting to open standards password-less authentication everywhere.
Who’s been using macOS, iOS credential management, integration and synchronization already have an idea about how it works across devices, apps and websites. But now the experience will be improved, extended and made even easier.
I can’t stand the Mac users that use Google Chrome while they already have the Safari browser, which is lighter, more concerned about privacy, more well integrated to the platform and their other devices (iPhone etc), and is smarter in password management. I don’t even have Google Chrome installed on my Mac.
To all friends that I’ve worked with at IBM and that are now moving to Kyndryl, I wish you success and good luck. The Cloud and IT services opportunity will continue to be huge forever. The countdown you have promoted here was warm and vibrant.
For the still-on-IBM friends, please keep on doing such a great company that always was and continues to be a brilliant reference to the world, not just IT. IBM is an unforgettable school for me and for anybody else that has spent even just a minute working there.
Business worldwide, as we know it, is shaped by companies such as IBM, even if you’ve never heard about it (well, that’s quite impossible).
I’ve seen companies saying they have Big Data because they implemented Hadoop or a data lake and maybe Spark.
That’s just wrong.
Big Data, or more precisely, to be Data Driven, is a state where the data a company produces can be reused, as soon as possible, to optimize itself. And there are many ways to reuse data: all meetings and decisions happen with abundance of data, or recently generated data instantly feeds machine learning algorithms to optimize transactions, just to name a few situations.
To be Driven by Data is part culture and part infrastructure. On the infrastructure side, IT teams still struggle with limited visions about how data should flow pervasively and how access should be granted. They fear about security and performance while they should fear of missing out the data opportunity.
Data Streaming is a breakthrough recent technology that is here to help with more fluent data access. For an agile and effective data architecture, Data Streaming is much more strategic and important than just a bigger data warehouse because it is the component that can unleash your data and finally make it useful.