Think of a log as part of an organization’s memory. Often, logs are not kept because they take up lots of storage space.
5 best practices for designing application logs
Better logs make it easier to distinguish between critical data and noise. Here's how to design logs with security in mind.
… Schmitt took inspiration from two books she read by Gene Kim, The Unicorn Project, and The Phoenix Project. She realized that poorly designed logs are "a byproduct of how dysfunctional organizations are in terms of security, development, and operations or having silos."
Since large entities move slowly and are reluctant to change, Schmitt focuses on developers, trying to influence how they work. "I'm trying to speak in the language that makes developers excited, but also makes logs cool, ‘cause logs suck," she says.
Most developers admitted that they were not trained in designing logs. They simply recorded information that was relevant to them, focusing on performance. Few thought about security and logged data that would be needed in the event of a breach.
To help them, Schmitt designed a benchmark spreadsheet that took inspiration from the NIST security standards
“Mission creep” is not uncommon.
https://www.pogowasright.org/uk-revealed-anti-terror-snooping-law-used-for-fly-tippers-and-parking/
UK: Revealed: anti-terror snooping law used for fly-tippers and parking
Yohannes Lowe reports:
Councils have used controversial surveillance legislation to combat “low-level” offences, such as the misuse of blue badge parking permits, fly-tipping and benefit fraud, an Observer investigation has found.
The Regulation of Investigatory Powers Act (Ripa ) 2000 gives certain public bodies the right – under limited circumstances – to conduct surveillance activities, including for crime prevention and national security purposes.
Read more on The Guardian.
A Dilbert observation on e-mail monitoring
https://dilbert.com/strip/2021-08-11
Interesting article, but I don’t see a clear solution.
Big Tech’s Stranglehold on Artificial Intelligence Must Be Regulated
The technology is too important to be left in the clutches of Silicon Valley.
Google CEO Sundar Pichai has suggested—more than once—that artificial intelligence (AI) will affect humanity’s development more profoundly than humanity’s harnessing of fire.
… You may or may not agree with Pichai’s statement that AI’s impact on humankind is comparable to that of harnessing fire, but he made another comment that is much harder to argue with: “[Fire] kills people, too.”
My AI reminds me that it can automate anything, even lawyers.
https://www.fastcompany.com/90664648/robots-are-coming-for-the-lawyers
Robots are coming for the lawyers
Bad for lawyers’ salaries, good for people who need cheap legal help.
… as we discovered in a recent research collaboration to analyze legal briefs using a branch of artificial intelligence known as machine learning, lawyers’ jobs are a lot less safe than we thought. It turns out that you don’t need to completely automate a job to fundamentally change it. All you need to do is automate part of it.
Our research project —in which we collaborated with computer scientists and linguists at MITRE, a federally funded nonprofit devoted to research and development—was not meant to be about automation. As lawprofessors, , we were trying to identify the text features of successful versus unsuccessful legal briefs.
My AI points out that this is NOT a problem for AIs…
https://thenextweb.com/news/backlash-against-grant-patent-to-ai-system-syndication
Backlash grows against decision to grant patent to AI system
… South Africa’s decision has received widespread backlash from intellectual property experts. Some have labeled it a mistake, or an oversight by the patent office. However, as a patent and AI scholar whose PhD aims to address the gaps in patent law created by AI inventorship, I suggest that the decision is supported by the government’s policy environment in recent years. This has aimed to increase innovation and views technology as a way to achieve this.
… The granting of the DABUS patent in South Africa has received widespread backlash from intellectual property experts. The critics argued that it was the incorrect decision in law, as AI lacks the necessary legal standing to qualify as an inventor. Many have argued that the grant was simply an oversight on the part of the commission, which has been known in the past to be less than reliable. Many also saw this as an indictment of South Africa’s patent procedures, which currently only consist of a formal examination step. This requires a check box sort of evaluation: ensuring that all the relevant forms have been submitted and are duly completed.
Critics feel that if South Africa instead had a substantive search and examination system in place, the DABUS patent application would have been rejected.
I disagree.
Something I could geek out on?
https://www.brookings.edu/research/how-open-source-software-shapes-ai-policy/
How open-source software shapes AI policy
Open-source software quietly affects nearly every issue in AI policy, but it is largely absent from discussions around AI policy—policymakers need to more actively consider OSS’s role in AI.
Open-source software (OSS), software that is free to access, use, and change without restrictions, plays a central role in the development and use of artificial intelligence (AI). Across open-source programming languages such as Python, R, C++, Java, Scala, Javascript, Julia, and others, there are thousands of implementations of machine learning algorithms. OSS frameworks for machine learning, including tidymodels in R and Scikit-learn in Python, have helped consolidate many diverse algorithms into a consistent machine learning process and enabled far easier use for the everyday data scientist. There are also OSS tools specific to the especially important subfield of deep learning, which is dominated by Google’s Tensorflow and Facebook’s PyTorch. Manipulation and analysis of big data (data sets too large for a single computer) were also revolutionized by OSS, first by the Hadoop ecosystem and later by projects like Spark. These are not simply some of the AI tools—they are the best AI tools. While proprietary data analysis software may sometimes enable machine learning without the need to write code, it does not enable analytics that are as well developed as those in modern OSS.
Could become an important tool.
https://www.theverge.com/2021/8/10/22618128/openai-codex-natural-language-into-code-api-beta-access
OpenAI can translate English into code with its new machine learning software Codex
AI research company OpenAI is releasing a new machine learning tool that translates the English language into code. The software is called Codex and is designed to speed up the work of professional programmers, as well as help amateurs get started coding.
In demos of Codex, OpenAI shows how the software can be used to build simple websites and rudimentary games using natural language, as well as translate between different programming languages and tackle data science queries. Users type English commands into the software, like “create a webpage with a menu on the side and title at the top,” and Codex translates this into code. The software is far from infallible and takes some patience to operate, but could prove invaluable in making coding faster and more accessible.
[From the Codex website:
Proficient in more than a dozen programming languages, Codex can now interpret simple commands in natural language and execute them on the user’s behalf—making it possible to build a natural language interface to existing applications. We are now inviting businesses and developers to build on top of OpenAI Codex through our API.
Perspective. Are you ready to drive a transformer?
Watch this Audi concept EV transform from grand tourer to roadster
Audi has unveiled its Skysphere concept car and, boy, if that’s the future of EVs, I’m sold.
The Skysphere is a rear-wheel-drive, two-door electric convertible that can transform from a luxurious grand tourer to a sporty roadster.
Yes, it transforms.
That can’t be Professor Soma, that’s not a fly rod!
https://www.makeuseof.com/best-fishing-forecast-apps/
The 6 Best Fishing Forecast Apps
These fishing forecast apps for Android and iOS will help improve your catch by showing you the best times to go fishing.
The apps are able to forecast fish activity based on weather, solunar, and previous history. Some of the apps even have a community where you can share your catches and see what everyone else is catching. Let's check out some of the best fishing forecast apps you can download for Android and iOS.
Tools & Techniques. Maybe everyone is talking about you…
https://www.makeuseof.com/best-tools-track-social-media-performance/
The 8 Best Tools to Analyze Social Media Performance
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