Andrew Jimenez

141 Followers
156 Following
468 Posts

Engineer @PatchMyPC, Specializing in #ConfigMgr, #Intune, application deployment, device management, #PowerShell and more.

Interested in automation technologies including Home Assistant. General nerd.

Twitterhttps://twitter.com/AndrewJimenez_
GitHubhttps://github.com/asjimene
About MeEngineer at Patch My PC Specializing in: ConfigMgr, PowerShell, OSD, WSUS, application packaging and automation.

i like weird bulbs and i cannot lie

new video time

https://www.youtube.com/watch?v=SaKKzZRrPIg

Induction lamps: fluorescent lighting's final form

YouTube
I'll be presenting "Crash Course: App Management for ARM" where I'll reveal everything I've learned about installing, detecting and managing apps for Windows on ARM at #AZSMUG on Monday May 19th! Join us for that and more!
Sign up here: https://azsmug.org
#ConfigMgr #Intune #WindowsOnARM #UserGroup
AZSMUG | Arizona Systems Management User Group

AZSMUG stands for Arizona Systems Management User Group. AZSMUG is a special interest group serving Southern Arizona.

Please help. @catbailey is facing immediate loss of her kid’s inheritance due to auction of a storage unit. $730/670 raised for this specific, immediate need. Please donate via CashApp $BlackCatOps, Venmo @BlackCatHackers, or PayPal @catalystediting, the timeline for payments from the GoFundMe is too long to make a difference.

Edit: Please, if you can’t give money, at least a boost? Maybe someone in your network can.

Edit2: Please share on Bluesky as well. I’m not there, but there may be folks willing to help who are. Her handle there is @blackcatswhitehats.com over there.

Edit3: I’ll update the number as we make progress! If you’ve boosted, please consider un/reboosting, chronological timelines are the best but not for this particular task 😅

Final edit: And a big jump overnight! Thank you all! Last thing I’ll leave with is a link to the GFM, because while we’ve stopped bad things from happening here, now, Cat still needs ongoing support until she lands on her feet. https://www.gofundme.com/f/aid-for-cat-and-her-kids-in-crisis
Final Edit 2: Cat has decided to move elsewhere in the Jerryverse, so updating reference to her profile.

#MutualAid #InfoSec #HelpCatAndCo

Donate to Aid for Cat and Her Kids in Crisis, organized by Andrew Nelson

Bottom Line Up Front: Cat needs our help and won’t ask for herself. Cat is a sing… Andrew Nelson needs your support for Aid for Cat and Her Kids in Crisis

gofundme.com
What I do when I feel like my life is out of control:
1.) Clear %TEMP%
2.) Clear C:\Windows\Temp
3.) Run cleanmgr.exe
4.) Run patchmypc.exe
5.) Delete stuff in %APPDATA% I don't have anymore
Honestly I can get behind this. #nbpy

Good executives describe their expectations in terms of outcomes. They let their staff—who inherently ought to have a better understanding of the mechanics of the processes they are responsible for—determine the appropriate methods to get things done. Leaders getting too involved in details are (correctly) derided as "micromanagers".

When you see an executive mandating a tool or process *over the objections* of their staff, that's a sign of managerial incompetence.

https://infosec.exchange/@barubary/114298367285112648

Oriel Jutty :hhHHHAAAH: (@[email protected])

@[email protected] Transcript: AI usage is now a baseline expectation Inbox Tobias Lütke (Mar 20) to Shopify Team, We are entering a time where more merchants and entrepreneurs could be created than any other in history. We often talk about bringing down the complexity curve to allow more people to choose this as a career. Each step along the entrepreneurial path is rife with decisions requiring skill, judgement and knowledge. Having AI alongside the journey and increasingly doing not just the consultation, but also doing the work for our merchants is a mindblowing step function change here. Our task here at Shopify is to make our software unquestionably the best canvas on which to develop the best businesses of the future. We do this by keeping everyone cutting edge and bringing all the best tools to bear so our merchants can be more successful than they themselves used to imagine. For that we need to be absolutely ahead. Reflexive AI usage is now a baseline expectation at Shopify Maybe you are already there and find this memo puzzling. In that case you already use AI as a thought partner, deep researcher, critic, tutor, or pair programmer. I use it all the time, but even I feel I’m only scratching the surface. It’s the most rapid shift to how work is done that I’ve seen in my career and I’ve been pretty clear about my enthusiasm for it: you’ve heard me talk about AI in weekly videos, podcasts, town halls, and… Summit! Last summer I used agents to create my talk, and presented about that. I did this as a call to action and invitation for everyone to tinker with AI, to dispel any scepticism or confusion that this matters at all levels. Many of you took up the call, and all of us who did have been in absolute awe of the new capabilities and tools that AI can deliver to augment our skills, crafts, and fill in our gaps. What we have learned so far is that using AI well is a skill that needs to be carefully learned by… using it a lot. It’s just too unlike everything else. The call to tinker with it was the right one, but it was too much of a suggestion. This is what I want to change here today. We also learned that, as opposed to most tools, AI acts as a multiplier. We are all lucky to work with some amazing colleagues, the kind who contribute 10X of what was previously thought possible. It’s my favorite thing about this company. And what’s even more amazing is that, for the first time, we see the tools become 10X themselves. I’ve seen many of these people approach implausible tasks, ones we wouldn’t even have chosen to tackle before, with reflexive and brilliant usage of AI to get 100X the work done. In my On Leadership memo years ago, I described Shopify as a red queen race based on the Alice in Wonderland story—you have to keep running just to stay still. In a company growing 20-40% year over year, you must improve by at least that every year just to re-qualify. This goes for me as well as everyone else. This sounds daunting, but given the nature of the tools, this doesn’t even sound terribly ambitious to me anymore. It’s also exactly the kind of environment that our top performers tell us they want. Learning together, surrounded by people who also are on their own journey of personal growth and working on worthwhile, meaningful, and hard problems is precisely the environment Shopify was created to provide. This represents both an opportunity and a requirement, deeply connected to our core values of Be a Constant Learner and Thrive on Change. These aren’t just aspirational phrases—they’re fundamental expectations that come with being a part of this world-class team. This is what we founders wanted, and this is what we built. What This Means 1. Using AI effectively is now a fundamental expectation of everyone at Shopify. It’s a tool of all trades today, and will only grow in importance. Frankly, I don’t think it’s feasible to opt out of learning the skill of applying AI in your craft; you are welcome to try, but I want to be honest I cannot see this working out today, and definitely not tomorrow. Stagnation is almost certain, and stagnation is slow-motion failure. If you’re not climbing, you’re sliding. 2. AI must be part of your GSD Prototype phase. The prototype phase of any GSD project should be dominated by AI exploration. Prototypes are meant for learning and creating information. AI dramatically accelerates this process. You can learn to produce something that other team mates can look at, use, and reason about in a fraction of the time it used to take. 3. We will add AI usage questions to our performance and peer review questionnaire. Learning to use AI well is an unobvious skill. My sense is that a lot of people give up after writing a prompt and not getting the ideal thing back immediately. Learning to prompt and load context is important, and getting peers to provide feedback on how this is going will be valuable. 4. Learning is self directed, but share what you learned. You have access to as much of the cutting edge AI tools as possible.There is chat.shopify.io, which we had for years now. Developers have proxy, Copilot, Cursor, Claude code, all pre-tooled and ready to go. We’ll learn and adapt together as a team. We’ll be sharing Ws (and Ls!) with each other as we experiment with new AI capabilities, and we’ll dedicate time to AI integration in our monthly business reviews and product development cycles. Slack and Vault have lots of places where people share prompts that they developed, like #revenue-ai-use-cases and #ai-centaurs. 5. Before asking for more Headcount and resources, teams must demonstrate why they cannot get what they want done using AI. What would this area look like if autonomous AI agents were already part of the team? This question can lead to really fun discussions and projects. 6. Everyone means everyone. This applies to all of us—including me and the executive team. The Path Forward AI will totally change Shopify, our work, and the rest of our lives. We’re all in on this! I couldn’t think of a better place to be part of this truly unprecedented change than being here. You don’t just get a front-row seat, but are surrounded by a whole company learning and pushing things forward together. Our job is to figure out what entrepreneurship looks like in a world where AI is universally available. And I intend for us to do the best possible job of that, and to do that I need everyone’s help. I already laid out a lot of the AI projects in the themes this year- our roadmap is clear, and our product will better match our mission. What we need to succeed is our collective sum total skill and ambition at applying our craft, multiplied by AI, for the benefit of our merchants. -tobi CEO Shopify

Infosec Exchange

I’m honored to be the recipient of the Sean Kearney #PowerShell Spirit award at #pshsummit

Sean was a huge influence on the PowerShell community, and I’m truly humbled. His positivity, passion, and impact continue to live on through the people he inspired.

The thing to keep in mind about Large Language Models (LLMs, what people refer to as AI, currently) is even though human knowledge in the form of language is fed into them for their training, they are only storing statistical models of language, not the actual human knowledge. Their responses are constructed from statistical analysis of context of prior language used.

Any appearance of knowledge is pure coincidence. Even on the most “advanced” models.

Language is how we convey knowledge, not the knowledge itself. This is why a language model can never actually know anything.

And this is why they’re so easy to manipulate into conveying objectively false information, in some cases, maliciously so. ChatGPT and all the other big vendors do manipulate their models, and yes, in part, with malice.

#LargeLanguageModels #LLM #AI #NotAI #ChatGPT #ChatGPTIsNotAI #MaliciousAI #NotIntelligent #ArtificialIntelligence

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