We started producing shows as Today with a Techie on 2005-09-19, 17 years, 8 months, 18 days ago. our shows are produced by listeners like you and can be on any topic that "are of interest to hackers". if you listen to HPR then please consider contributing one show a year. if you record your show now it could be released in 11 days.
Policy decisions surrounding HPR are taken by the community as a whole. This
discussion takes place on the Mail List which is open to all HPR listeners and
contributors. The discussions are open and available on the HPR server under
The threaded discussions this month can be found here:
This is the LWN.net community event calendar, where we track
events of interest to people using and developing Linux and free software.
Clicking on individual events will take you to the appropriate web
Any other business
We are currently in the process of moving the HPR server. A server
has been set up on Amazon AWS, and we are currently setting up a copy of
the database, mail system and Mailman mailing list service.
The Gitea Git repository has already been moved and is in
use. The static site created by rho`n is being set up to
provide the main HPR website. Work is being done to provide the
interactive facilities that need the database, such as show and comment
Contacting old hosts
The rate of show submission is unusually low this year. The number of
active contributors is low too, with a small group of hosts keeping the
HPR project from sinking below the waves.
A question for the HPR Community - can we contact old hosts to ask
them to contribute again?
of Windows-1252 characters to UTF-8 Unicode
As mentioned on the last Community News the Windows-1252
characters (aka Latin1) in the database were converted to the
UTF-8 Unicode format apparently without exceptions. If anyone finds any
unexpected characters in episode titles, summaries, tags or notes from
now onwards please let us know and we'll fix them too!
Our stay in Presidio was a nice one, and we enjoyed the companionship
at the RV park. This gave us access to the Big Bend Ranch State Park,
and we had a few good outings there. But we wanted to visit the Big Bend
National Park, which was not as reachable as we would like, so we booked
a few days in Alpine, Texas. This turned out to be fortuitous for an
important repair. And after seeing the National Park it was time to head
back to Michigan. We had a long but very nice trip, but as always at the
end of a trip we look forward to being back in our home and sleeping in
Author: U.S. Attorney's Office, Middle District of
Pennsylvania. (2023, May 11).
The United States Attorney’s Office for the Middle District of
Pennsylvania announced that Florentina Mayko, age 39, of Cambria County,
Pennsylvania, was charged by criminal information with one count of
conspiracy to commit health care fraud for defrauding Medicare and the
U.S. Department of Health and Human Services between 2017 and
Author: U.S. Attorney's Office, Eastern District of
New York. (2023, May 10).
A 13-count indictment was unsealed today in the United States
District Court for the Eastern District of New York charging George
Anthony Devolder Santos, better known as “George Santos,” a United
States Congressman representing the Third District of New York, with
seven counts of wire fraud, three counts of money laundering, one count
of theft of public funds, and two counts of making materially false
statements to the House of Representatives.
Author: U.S. Attorney's Office, District of New
Jersey. (2023, May 10).
During 2015, Lourenco opened 23 credit cards using the identities of
three victims he had befriended, two of whom were senior citizens.
Lourenco’s victims did not know he was using their identities to obtain
the credit cards, nor did they authorize Lourenco to obtain the credit
cards. Lourenco used the 23 credit cards to make more than $423,000 in
unauthorized purchases. He also used the debit card for a joint bank
account belonging to two of the victims to make an additional $57,000 in
unauthorized charges. Lourenco admitted that he knew at least one of his
victims was a vulnerable victim when he used the victim’s identity to
commit his crime.
Author: U.S. Attorney's Office, Eastern District of
Oklahoma. (2023, May 9).
Lewis pleaded guilty to Murder in Indian Country—Second Degree on
September 30, 2021. The investigation of the case revealed Lewis beat
the victim to death with a television and a coat rack after an evening
of drinking at the victim’s apartment. Police investigating an Emergency
Medical Services call discovered the victim lying on the floor of his
apartment and Lewis covered in the victim’s blood.
Author: U.S. Attorney's Office, Eastern District of
Texas. (2023, May 9).
According to information presented in court, Donofrio conspired with
others to pay and receive kickbacks in exchange for the referral of, and
arranging for, health care business, specifically pharmacogenetic (PGx)
tests. Pharmacogenetic testing, also known as pharmacogenomic testing,
is a type of genetic testing that identifies genetic variations that
affect how an individual patient metabolizes certain drugs. The illegal
arrangement concerned the referral of PGx tests to clinical laboratories
in Fountain Valley, California; Irvine, California; and San Diego,
California. More than $28 million in illegal kickback payments were
exchanged by those involved in the conspiracy.
Hello, my name is André Jaenisch. You can find myself online under
Ryuno-Ki as well.
This is my first episode on Hacker Public Radio!
It is recorded on 8th May 2023 using Audacity.
It is published under a Creative Commons Attribution Share-Alike 4.0
Today I want to introduce myself.
I'm a web developer for ten years now and recently turned into a
My area of expertise is with Frontend technologies, although I also know
Node.js and Python. I taught myself these languages because my studies
in mathematics did not cover them.
During my studies I switched to GNU/Linux. I started with Ubuntu but
discovered that I prefer Rolling Release distributions more. So I jumped
to Sabayon Linux which was based on Gentoo back then but pre-compiled
the binaries while staying compatible. Now they decided to turn into
another direction so I was looking for another home. I tried Gecko Linux
based on openSUSE for a while until they had bad news in the press. I'm
currently running Kaisen Linux which is based on Debian Bookworm.
Speaking of, I love to read. I have whole shelves filled with books
There is so much to learn from books even in the age of the Internet. I
enjoy that they have a finite amount of content you can walk
I learned about Hacker Public Radio at FOSDEM 2023. When I mentioned
that I have a RODE NT-USB microphone at home already I was encouraged to
contribute to the show. Now I have been listening to the podcast since
the beginning of the year and already heard some of the emergency shows.
I noticed that the hackers on the show are mainly from the United
States. I hope you welcome people from other parts of the world as
I'm from Germany in Europe. A beautiful place to live and I bet as
diverse as in the States when it comes to the landscape. We have more
than Berlin and Bavaria here!
I'm not quite sure what kind of content you would love to hear about.
I have the requested topics page in front of me and could talk about
different items. For example, my first smartphone ever was a Firefox OS
(I still have it. As well as a tablet).
I switched to Android with F-Droid when Mozilla was cancelling the
project. I'm running on a Fairphone here, which is a small Dutch
manufacturer that already managed to move the whole industry into a more
sustainable direction. Because we produce lots of waste. So I could talk
Or I could talk about building things for the web. Usually I blog
about that because I feel like text feels more natural to it. But then I
saw that some episodes contained code snippets in the show notes.
I could talk about mathematics. We don't have enough podcasts about
math! My focus was on statistics and numerics so that might be
What I would love to hear more about is music theory. You see I
haven't learned to play an instrument in my life. Mainly because those
are expensive. My personal taste goes more into heavy metal but I'm not
sure whether you would call me a fan. What does make a metalhead anyway?
But in order to improve my game development having some sort of music
and sound effects is important. So I was really enjoying the episode
3792 on reading music sheets. I lend some books on the library to learn
more. These subjects weren't covered in depth in my school days!
Another subject I would like to learn more about is electronics.
Especially repairing one's computers. Look, I'm using ThinkPads since
years now. I have a X250 (from FOSDEM) in current use. But I also have a
X200 and a T520 gathering dust here. Mainly because something „broke”
with the hardware and I'm too afraid to crack them open.
Then there's a HP Pavilion standing under my desk to wait for repair.
And even one of the old machines from the DOS era with an original
Lemmings installed! But I have no idea how to refurbish them into a
bootable state. Do you have ideas?
I feel like I already touched on different ideas today, but looking
at the time the recording is rather short. Personally I can tune into
episodes up to 30 minutes best, so I will try to respect this threshold
This is part 2 of my Chat GPT episode. (For part 1 refer to
Incidentally I was quite surprised how long it took me to pull
together part 1. This was primarily because I had to do all the work
creating the show notes. Part 2 should be a lot quicker since most of
the work including formatting the article in markdown was done by
The only change I made to the episode created by ChatGPT was to
correct a minor markdown formatting error in the OpenAI link at the
bottom of the article.
article was produced by ChatGPT
It was produced from the following prompt. The prompt itself was
mostly written by ChatGPT with minimal input from myself. The prompt
took me 10 minutes to produce. Refer to my previous episode HPR3853.
Prompt used to create HPR
Create a Hacker Public Radio podcast episode exploring the
history and applications of Chat GPT, an artificial intelligence
language model developed by OpenAI. Chat GPT has become increasingly
popular due to its ability to understand and generate human-like text,
and its applications span a wide range of industries and
In this episode, we will dive into the development of Chat GPT,
including who created it and when. We will explore the technology behind
it and how it has evolved over time.
We will also provide clear and concise examples of how Chat GPT
can be used in various industries and fields, such as customer service,
content creation, and chatbots. For example, Chat GPT can be used to
generate personalized responses to customer inquiries in real-time,
create high-quality content for websites and social media platforms, and
power chatbots that can assist with a range of tasks.
Additionally, we will highlight the benefits and limitations of
using Chat GPT, including its ability to learn and adapt to user inputs
and the potential ethical concerns surrounding its use. As Chat GPT
continues to grow in popularity, it is important to consider the
implications of using AI technology that can generate human-like text,
such as the potential for bias and misinformation.
To provide listeners with more information, we will include
relevant web links, such as the official OpenAI website and articles
about the latest developments in Chat GPT technology.
Provide real-world examples of how Chat GPT has been used in
various industries and fields.
Discuss the potential future applications of Chat GPT and where
the technology may be headed.
Address any common misconceptions or concerns about the use of AI
language models like Chat GPT.
This episode will cater to a general audience while also diving
into more technical details for listeners with Linux, IT, or programming
The episode should be approximately 1000 words long.
Format the article using markdown as required.
episode created by ChatGPT all nicely formated in Markdown:
HPR Episode: Exploring Chat
In recent years, artificial intelligence (AI) has become an
increasingly popular topic in various industries and fields. One such
example is Chat GPT, an AI language model developed by OpenAI. Chat GPT
has the ability to understand and generate human-like text, making it a
powerful tool for customer service, content creation, and chatbots. In
this episode, we will dive into the history and applications of Chat
History of Chat GPT
Chat GPT was first introduced in 2018 by OpenAI. It is part of a
series of AI language models known as the GPT series, with "GPT"
standing for "Generative Pre-trained Transformer." Chat GPT was
developed using a deep learning technique called a transformer neural
network, which allows it to process large amounts of text and generate
Applications of Chat GPT
Chat GPT can be used to generate personalized responses to customer
inquiries in real-time. This can save companies time and money by
automating the customer service process. Chat GPT can also learn from
previous interactions to improve its responses over time.
Chat GPT can create high-quality content for websites and social
media platforms. For example, it can be used to write product
descriptions, social media posts, and even entire articles.
Chat GPT can power chatbots that can assist with a range of tasks.
For example, it can be used to schedule appointments, answer common
questions, and even provide emotional support.
Benefits and Limitations
of Chat GPT
One of the main benefits of Chat GPT is its ability to learn and
adapt to user inputs. This allows it to generate personalized responses
that are tailored to each individual user. Chat GPT can also process
large amounts of text quickly, making it a useful tool for companies
that need to generate a lot of content.
However, there are also some limitations to using Chat GPT. One
potential concern is the potential for bias and misinformation. Since
Chat GPT learns from existing text, it may pick up biases or
inaccuracies that exist in the data it is trained on. Additionally,
there is a risk that Chat GPT may generate inappropriate or offensive
responses if it is not properly monitored.
Future Applications of Chat
Chat GPT has already been used in a variety of industries and fields,
but there is still a lot of potential for future applications. For
example, it could be used to power virtual assistants that are even more
intelligent and personalized than current offerings. It could also be
used to generate more sophisticated chatbots that can assist with
Common Misconceptions and
One common misconception about Chat GPT is that it is a threat to
human jobs. While it is true that Chat GPT can automate certain tasks,
it is unlikely to replace humans entirely. Instead, it is more likely to
augment human abilities and make certain tasks more efficient.
Another concern is the ethical implications of using AI language
models like Chat GPT. It is important to ensure that the data used to
train Chat GPT is diverse and free of biases. Additionally, it is
important to ensure that Chat GPT is used responsibly and not used to
spread misinformation or harm individuals.
Chat GPT is a powerful tool that has the potential to revolutionize
customer service, content creation, and chatbots. While there are some
limitations and concerns associated with its use, the benefits of using
Chat GPT are clear. As the technology continues to evolve, it is
important to consider the ethical implications and ensure that it is