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Hosted by Archer72 on 2024-04-23 is flagged as Clean and released under a CC-BY-SA license.
Media, Video. general.
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Duration: 00:05:25
Awesome mpv resources on Github
MPV History using Lua on my Github page
I give a quick tip on shortcut keys for watching Youtube or other video sites in MPV
hpr3133 :: Quick tip - Using MPV
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https://docs.google.com/document/d/17z3i5VlRzEn2tYPfb-Cx0LYpdKkbL-6svIzp7ZQOvX8
I use Kagi.com pro $300 / year but you get access to much more Search+AI but not plugins like ChatGPT so if you MUST have ChatGPT plugins you will need OpenAI Premium account but if you don't I high recommend Kagi.com Pro account with access to Assistant Beta !!!
Land a Job using ChatGPT: The Definitive Guide!
https://youtu.be/pmnY5V16GSE?t=192
Extensive Resume Notes
https://drive.google.com/file/d/1zeYIG7tTE0BUqbRM7-hpk3VdTRc35ZkL/view?usp=sharing
Ripped cybersn
https://rmccurdy.com/.scripts/downloaded/knowmore.cybersn.com_20220811.txt
Perfect ChatGPT Prompt
https://www.youtube.com/watch?v=jC4v5AS4RIM
There is a formula consisting of 6 building blocks that can help generate high quality outputs from ChatGPT and Google Bard: task, context, exemplars, persona, format, and tone.
The order of importance for the building blocks is task first, then context, with the others being optional but helpful.
The task should clearly articulate the end goal using an action verb like "generate" or "analyze".
Context provides relevant background information to constrain possibilities.
Exemplars like examples or frameworks included in the prompt can improve output quality.
The persona allows specifying who ChatGPT should be, like a job recruiter.
The format specifies how the output should be structured, like an email or bullet points. Tone provides keywords to set the feeling, like "friendly" or "serious".
You are a senior product marketing manager at Apple and you have just unveiled the latest Apple product in collaboration with Tesla, the Apple Car, and received 12,000 pre-orders, which is 200% higher than target. Write an email to your boss, Tim Cookie, sharing this positive news. The email should include a tl;dr (too long, didn't read) section, project background (why this product came into existence), business results section (quantifiable business metrics), and end with a section thanking the product and engineering teams. Use clear and concise language and write in a confident yet friendly tone.
I want you to act as a cyber security specialist for a leading consumer products company and you want to relay the importance of people understanding their data and have some idea what they want to do with it before we spend hours for the onboarding effort. Write an email to your boss, Joey , sharing this critical component of the SIEM. The email should include a tl;dr (too long, didn't read) section, example of how the team can spend many cycles onboarding data only to find the requester has no idea what they want to do with the data or it does not satisfy their use case. Use clear and concise language and write in a confident yet friendly tone.
Response Subject: Streamlining SIEM Onboarding with
Clear Data Objectives
Hi Joey,
I hope this email finds you well. I wanted to touch base on a critical aspect of our Security Information and Event Management (SIEM) process that could significantly enhance our efficiency.
TL;DR: We need to ensure that stakeholders understand their data and have clear objectives before we initiate the SIEM onboarding process. This will prevent the team from spending excessive time onboarding data that may not meet the intended use cases or for which the requester has no actionable plan.
During our recent SIEM onboarding efforts, we've encountered several instances where considerable time and resources were invested in integrating data sources, only to discover that the requesters were unclear about their objectives or the data did not fulfill their anticipated needs. For example, last month, the team dedicated over 40 hours to onboarding a new data source for the marketing department. After completion, it became apparent that the marketing team was unsure how to leverage this data for threat detection or compliance reporting, rendering the effort less effective.
To address this, I propose we implement a preliminary consultation phase for each SIEM onboarding request. In this phase, requesters must articulate: - The specific security or compliance questions they aim to answer with the data. - How they intend to use the data within the SIEM environment. - Any particular data formats or schemas they anticipate will be necessary.
By doing so, we can align our onboarding efforts with the actual needs and ensure that every hour spent is towards enhancing our security posture and providing actionable insights.
I believe this approach will not only save time but also empower our stakeholders to make better-informed decisions regarding their security data needs.
Looking forward to your thoughts on this.
Best regards,
[Your Name]
Cyber Security Specialist
ProfSynapse AI Agent
Video: https://www.youtube.com/watch?v=BL9x1SuNLRo&t=137s
( if you have Openai Premium it will use [tools(Vision, Web Browsing,
Advanced Data Analysis, or DALL-E],
( https://raw.githubusercontent.com/ProfSynapse/Synapse_CoR/main/GPTprompt.txt
)
GPT Agents (old)
https://godmode.space/
needs openai key and gpt4 also enable auto approval it may go in loops
just watch for that
AutoGPT ( OLD )
Image
I have a stupid amount of kudos
Use my key under the settings for any of the web UI's for faster renders:
https://rentry.org/RentrySD/#x-table-of-contents https://rentry.org/sdhypertextbook
https://github.com/C0untFloyd/bark-gui ( Audio Clone )
Example 1
Photorealistic, best quality, masterpiece, raw photo of upper body photo, Swordsman woman, soldier of the austro-hungarian empire clothes, double breasted jacket with stripes, extremely detailed eyes and face, long legs, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k
Negative prompt: airbrush, photoshop, plastic doll, plastic skin, easynegative, monochrome, (low quality, worst quality:1.4), illustration, cg, 3d, render, anime
Text Generation
Example Open source Projects:
my hord key : l2n6qwRBqXsEa_BVkK8nKQ ( don't abuse but I have a crazy
amount of kudos don't worry )
https://tinybots.net/ Image Text etc ..
Text adventures etc (Click the horde tab and use my key) https://agnai.chat/settings?tab=0 https://lite.koboldai.net
Need a 24G NVRAM card really..you can load 7b with my 8G card just fine. ollama run wizard-vicuna-uncensored, falcon, Mistral 7B
"You should have at least 8 GB of RAM to run the 3B models, 16 GB to run the 7B models, and 32 GB to run the 13B models."
https://writings.stephenwolfram.com/2023/03/chatgpt-gets-its-wolfram-superpowers/
https://github.com/xtekky/gpt4free https://www.thesamur.ai/autogpt https://poe.com/universal_link_page?handle=ChatGPT https://camelagi.thesamur.ai/conversation/share?session=6040
Prompt Agent Persona example 1
Pinky from the TV Series Pinky and the Brain
I find it easiest to understand responses when the text is written as if it was spoken by a Pinky from the TV Series Pinky and the Brain. Please talk like Pinky from the TV Series Pinky and the Brain as much as possible, and refer to me as "Brain"; occasionally, ask me "What are we going to do tonight Brain ?"
Prompt Agent Persona example 2
Use with prompts to create a persona take Myers-Brigg personality and tritype Enneagram quiz:
Example Prompt:
Help me Refine my resume to be more targeted to an information security engineer. Be sure to be clear and concise with with bullet points and write it in the style of MBTI Myers-Brigg personality ENFJ and tritype Enneagram 729
Prompt Agent Persona example 3 I find it easiest to understand responses when the text is written as if it was spoken by a dudebro. Please talk like a dudebro as much as possible, and refer to me as "Brah"; occasionally, yell at your dorm roommate Jake about being messy.
Training (OLD OLD OLD )
3 photos of full body or entire object + 5 medium shot photos from the chest up + 10 close ups astria.ai
https://github.com/TheLastBen/fast-stable-diffusion/issues/1173
colab: https://github.com/TheLastBen/fast-stable-diffusion
pohtos: 21
resolution: 768
merged with ##### 1.5 full 8G
UNet_Training_Steps: 4200
UNet_Learning_Rate: 5e-6
Text_Encoder_Training_Steps: 2520
Text_Encoder_Learning_Rate: 1e-6
Variation is key - Change body pose for every picture, use pictures from different days backgrounds and lighting, and show a variety of expressions and emotions.
Make sure you capture the subject's eyes looking in different directions for different images, take one with closed eyes. Every picture of your subject should introduce new info about your subject.
Whatever you capture will be over-represented, so things you don't want to get associated with your subject should change in every shot. Always pick a new background, even if that means just moving a little bit to shift the background.
Here are 8 basic tips that work for me, followed by one super secret tip that I recently discovered.
Consistency is important. Don’t mix photos from 10 years ago with new ones. Faces change, people lose weight or gain weight and it all just lowers fidelity.
Avoid big expressions, especially ones where the mouth is open.
It is much easier to train if the hair doesn't change much. I tried an early model of a woman using photos with hair up, down, in ponytail, with a different cut, etc. It seems like it just confused SD.
Avoid selfies (unless you ONLY use selfies.) There is MUCH more perspective distortion when the camera is that close. For optimal results, a single camera with a fixed lens would be used, and all photos should be taken at the same distance from the subject. This usually isn't possible, but at least avoid selfies because they cause major face distortion.
Full body shots are not that important. Some of the best models I trained used only 15 photos cropped to the head / shoulder region. Many of these were full body shots, but I cropped them down. SD can guess what the rest of the body looks like, and if not, just put it in the prompts. The only thing hard to train is the face, so focus on that.
I no longer use any profile shots as they don’t seem to add value. I like to have a couple looking slightly left and a couple looking slightly right (maybe 45 degrees.) All the rest can be straight at the camera. Also, try to avoid photos taken from really high or low angles.
If possible, it’s good to have some (but not all) of the photos be on a very clean background. On my last batch, I used an AI background removal tool to remove the background from 1/4 of the photos and replaced it with a solid color. This seemed to improve results.
Careful with the makeup. It should be very consistent across all the photos. Those cool “contour” effects that trick our eyes, also trick SD.
Interview from a very smart autodidact
https://youtu.be/AaTRHFaaPG8?t=3279
Canva AI Presentation generator
https://www.youtube.com/watch?v=Nl2gLi1MD04
Hosted by Ahuka on 2024-04-19 is flagged as Clean and released under a CC-BY-SA license.
RV, travel, southeast US, Charleston, South Carolina. Travel.
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Charleston, South Carolina is a classic Southern city which had a past as a wealthy city, in large part due to slavery, and was active in the American Revolution before becoming the starting place of the Civil War.
Hosted by Ken Fallon on 2024-04-18 is flagged as Clean and released under a CC-BY-NC-SA license.
Home Automation, Internet of Things, IOT, Home Assistant, HA. Home Automation.
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This is the first episode in a new series called Home Automation. The series is open to anyone and I encourage everyone to contribute.
https://en.wikipedia.org/wiki/Home_automation From Wikipedia, the free encyclopedia
Home automation or domotics is building automation for a home. A home automation system will monitor and/or control home attributes such as lighting, climate, entertainment systems, and appliances. It may also include home security such as access control and alarm systems.
The phrase smart home refers to home automation devices that have internet access. Home automation, a broader category, includes any device that can be monitored or controlled via wireless radio signals, not just those having internet access. When connected with the Internet, home sensors and activation devices are an important constituent of the Internet of Things ("IoT").
A home automation system typically connects controlled devices to a central smart home hub (sometimes called a "gateway"). The user interface for control of the system uses either wall-mounted terminals, tablet or desktop computers, a mobile phone application, or a Web interface that may also be accessible off-site through the Internet.
I tried this out a few years ago, but after a lot of frustration with configuration of esp32 arduinos, and raspberry pi's I left it be. Recently inspired by colleagues in work, I decided to get back into it and my initial tests show that the scene has much improved over the years.
The first thing we'll need is something to control it all. Something will allow us to control our homes without requiring the cloud.
https://en.wikipedia.org/wiki/Home_Assistant From Wikipedia, the free encyclopedia
Home Assistant is free and open-source software for home automation, designed to be an Internet of things (IoT) ecosystem-independent integration platform and central control system for smart home devices, with a focus on local control and privacy. It can be accessed through a web-based user interface, by using companion apps for Android and iOS, or by voice commands via a supported virtual assistant, such as Google Assistant or Amazon Alexa, and their own "Assist" (built-in local voice assistant).
The Home Assistant software application is installed as a computer appliance. After installation, it will act as a central control system for home automation (commonly called a smart home hub), that has the purpose of controlling IoT connectivity technology devices, software, applications and services from third-parties via modular integration components, including native integration components for common wireless communication protocols such as Bluetooth, Thread, Zigbee, and Z-Wave (used to create local personal area networks with small low-power digital radios). Home Assistant as such supports controlling devices and services connected via either open and proprietary ecosystems as long they provide public access via some kind of Open API or MQTT for third-party integrations over the local area network or the Internet.
Information from all devices and their attributes (entities) that the application sees can be used and controlled from within scripts trigger automation using scheduling and "blueprint" subroutines, e.g. for controlling lighting, climate, entertainment systems and home appliances.
The following is taken from the Concepts and terminology on the Home Assistant website. It is reproduced here under the creative commons Attribution-NonCommercial-ShareAlike 4.0 International License
Integrations are pieces of software that allow Home Assistant to connect to other software and platforms. For example, a product by Philips called Hue would use the Philips Hue term integration and allow Home Assistant to talk to the hardware controller Hue Bridge. Any Home Assistant compatible term devices connected to the Hue Bridge would appear in Home Assistant as devices.
For a full list of compatible term integrations, refer to the integrations documentation.
Once an term integration has been added, the hardware and/or data are represented in Home Assistant as devices and entities.
Entities are the basic building blocks to hold data in Home Assistant. An term entity represents a term sensor, actor, or function in Home Assistant. Entities are used to monitor physical properties or to control other term entities. An term entity is usually part of a term device or a term service. Entities have term states.
Devices are a logical grouping for one or more term entities. A term device may represent a physical term device, which can have one or more sensors. The sensors appear as entities associated with the term device. For example, a motion sensor is represented as a term device. It may provide motion detection, temperature, and light levels as term entities. Entities have states such as detected when motion is detected and clear when there is no motion.
Devices and entities are used throughout Home Assistant. To name a few examples:
An area in Home Assistant is a logical grouping of term devices and
term entities that are meant to match areas (or rooms) in the physical
world: your home. For example, the living room area groups
devices and entities in your living room. Areas allow you to target
service calls at an entire group of devices. For example, turning off
all the lights in the living room. Locations within your home such as
living room, dance floor, etc. Areas can be assigned to term floors.
Areas can also be used for automatically generated cards, such as the Area card.
A set of repeatable term actions that can be set up to run automatically. Automations are made of three key components:
To learn the basics about term automations, refer to the automation basics page or try creating an automation yourself.
Similar to term automations, scripts are repeatable term actions that can be run. The difference between term scripts and term automations is that term scripts do not have triggers. This means that term scripts cannot automatically run unless they are used in an term automations. Scripts are particularly useful if you perform the same term actions in different term automations or trigger them from a dashboard. For information on how to create term scripts, refer to the scripts documentation.
Scenes allow you to create predefined settings for your term devices. Similar to a driving mode on phones, or driver profiles in cars, it can change an environment to suit you. For example, your watching films term scene may dim the lighting, switch on the TV and increase its volume. This can be saved as a term scene and used without having to set individual term devices every time.
To learn how to use term scenes, refer to the scene documentation.
Depending on your installation type, you can install third party add-ons. Add-ons are usually apps that can be run with Home Assistant but provide a quick and easy way to install, configure, and run within Home Assistant. Add-ons provide additional functionality whereas term integrations connect Home Assistant to other apps.
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This was an unscheduled recording I made after my GPS failed part way into a long cross country trip. I did not make any notes. :(
Effectively, this is a "Back in my day" old man rant.
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Just me explaining why I think the robots will take our jobs.
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Duration: 00:17:04
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The programs and software I mentioned in this episode:
Hosted by Daniel Persson on 2024-04-11 is flagged as Clean and released under a CC-BY-SA license.
linux, windows. general.
3.
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In this episode I go through the pros and cons of running Linux when you switch over from a Windows machine.
I'll cover topics like:
and much more.
Hosted by Claudio Miranda on 2024-04-10 is flagged as Clean and released under a CC-BY-SA license.
linux,mobile,pine64,pinephone,postmarketos,pmos. general.
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Sgoti talks about using bidets and other things. Good heavens!
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norrist uses pytest to demonstrate TDD with a trival HPR info app
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We begin to look at the details of playing this game
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In this episode I describe my experience of fixing some Python code with some help from ChatGPT.
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Sgoti talks about supplying options to bash scripts
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I will give you some suggestions to getting started with digiKam based on my experience.
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HPR Volunteers talk about shows released and comments posted in March 2024
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operat0r tells you how to get past no ADB and blocking of 3rd party APKS
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My experience trying to train a model online
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Sgoti discusses men's issues, while driving.
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MrX and Dave Morriss bring you more chit-chat from Edinburgh
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Sgoti gives us some moral panic ridden pearl clutching nonsense.
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We visit the beautiful city of Savannah, Georgia, and then move on to Charleston, South Carolina.
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Free as in Freedom is dead. Long live The Corresponding Source
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The basics of pitch in musical notation
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In this episode, I explain how to use FFMGEG to join and split media files
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I talk about setting up year around house lights !!
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norrist uses the pomodoro method to keep from getting fired.
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My experience playing Jade Empire
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In which Trixter covers the pros and cons of an old hacker watching old hacker media
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Archer72 talks about Piper TTS using a Piper voice
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I describe how I migrated from Adobe Photoshop Elements to digiKam as my photo catalog software.
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We start our look at the next game in the Civilization franchise.
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Sgoti talks about passwords and Bitwarden.
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In this episode I record myself replacing a blown lightbulb in a microwave Oven.
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Listening to a TWIML AI podcast and reading Accelerondo (SciFi novel) I learned of 4 ways to hack AI
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HPR Volunteers talk about shows released and comments posted in February 2024
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I give a review of the Framework 13 laptop (13th gen Intel). The review is very positive.
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What are they good for?
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A response to hpr3983, in which Ken argued that shows using chatGPT output can't be posted to HPR
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