On this past Saturday, volunteers for West Tuality Habitat for Humanity spent the beautiful day - the first one we've had in many weeks - cleaning up a lot in rural Washington County, clearing a great deal of brush and vines, putting in fence posts, building fence panels and otherwise prepping the site for eventual building. Thank you to these volunteers from Pacific University (in environmental studies) and from the St. Francis Catholic Church in Roy and Visitation of the Blessed Virgin Mary Catholic Church in Verboort, as well as our core group of Habitat house-building volunteers who joined them. Here's more info on how to volunteer (not all volunteer with West Tuality Habitat takes place outdoors and construction experience is NOT required).
Volunteers from Pacific University after a day of helping West Tuality Habitat for Humanity.
Volunteers from two area of Catholic Churches and core volunteers after a day of helping West Tuality Habitat for Humanity.
West Tuality Habitat for Humanity is a local affiliate of Habitat for Humanity International and was formed in 1991. It is a 501-c-3 charitable organization which develops and builds homes with local community members in Western Washington County who are considered low-income.
Habitat houses are built primarily by volunteers. For West Tuality Habitat, there is a core group of volunteers with advanced construction skills who work at least three days a week on Habitat projects in Western Washington County. These core volunteers are regularly joined in the work by families that have qualified for home ownership through Habitat, as well as volunteers from the community.
In addition to the affordable housing program, West Tuality Habitat also has a critical home repair program for low-income seniors, military veterans, and people with disabilities, allowing them to remain in their homes and age in place. West Tuality Habitat also operates a ReStore in Forest Grove, selling gently-used, donated furniture, appliances, home furnishings and leftover building supplies. These sales help fund its Habitat activities in the area.
For more information about donating financially, volunteering or applying to be a program participant, visit the West Tuality Habitat for Humanity web site at www.westtualityhabitat.org or call (503) 359-8459. There is also information available at the Forest Grove ReStore at 3731 Pacific Avenue.

Ok, so for some background information, I’m a teenager, so is my ex, I know it’s stupid to assume I’ll never get over someone I dated a while ago, but I’ve never felt this serious about anyone. I met my ex in school during the ZOOM era, when the pandemic hit, before they had mentioned they had a crush on me, I had been on and off with people ages ranging from 1 to 5 years older than me. I had just broken up with a boy I was with when my ex told me they had a crush on me, I shoved it off since I’m very self aware and I knew it would be stupid to engage in another relationship after I just finished breaking up with someone else, and in my head, I told myself that if we dated or if I even responded, it would most likely ruin the friendship. I was never one to easily make friends, I don’t normally get along with people my age, I get along more with older people, and sometimes younger people, anyways, I decided not to say anything, but after a few days, I began to realize that I had feelings for them. I decided to see if they would pass since that’s usually what happens, instead, after a few weeks, the feeling seemed to become stronger, so we ended up dating, I remember messaging them and having no idea how to properly communicate it to them, they seemed to find it cute. Anyways, we were on and off for 3 years, mostly because I would break up with them and they would just keep acting like we were together and eventually we would just kind of drift back together. This was mostly due to the fact that I was very messed up at the time and craved any kind of affection from others, not to mention I was cutting myself at the time and I was suicidal and depressed. My family never did anything about it and if anything, hastily encouraged it, my ex was very sympathetic and would talk to me and actually took me to the nurse the first time they saw the cuts on my arms. That was the first time I had actually been approached in a way where it didn’t feel like I was in trouble and more like it was just someone who wanted to help. In the end, I ended up ghosting them, badly, I was confused at the time but now I can positively say that we were both toxic in the relationship. I would make up stupid scenarios or meaningless experiences just to seem like I wasn’t just some nobody, out of fear they would leave me, it ended up doing more harm than good (obviously). I would constantly question the relationship and if they actually loved me or not, it was actually the last time we broke up on the 3rd year that I was actually the one to ask if we could get back together. They ended up moving away and once they did, I immediately kept spouting a lot of stupid things trying to justify why I was breaking up with them before ghosting them entirely. I did realize later on this was the total wrong way to go, but I really wish I had figured that out sooner, the things is, I was actually pressured to get away from them, every person I speak to keeps saying that there are better people for me out there and I shouldn’t just settle or that they were taking advantage of me. I don’t agree with them though, in reality I think I’m the jerk that really messed up when I had something good, some of the things I will say, would be a few of the times that my ex made me feel just a bit odd about the relationship, they would make physical contact with me even when I said no. I think they were probably just not getting the message due to bad communication on my part, I would also get them a lot of gifts, no matter what, and the most I’ve ever gotten from them was a default gift for Valentine’s Day. The best thing about it was the personalized card deck, and by that, I mean a random puppy themed card deck from the dollar store, it felt good at the time but now I look back and wonder if they just picked it randomly or genuine got it out of good judgement. They also liked to write, and I would do the same for fun, only, whenever I would talk about my works, they would ask to see it and immediately comment on what I could fix, I just said people wrote in their own ways and they continued to criticize my work, it wasn’t things like how it was worded, or grammar errors. It was more on the storyline or certain things that happened in the stories, that offended me because I’ve never been criticized on my stories, and as a child that would get criticized for just being me and liking the things I did, I have to say, it hurt to hear that from someone who I felt I could actually trust. Not to mention, that whenever we would talk, it was always them, they would often say things more than once, but I didn’t mind it, until I began realizing how little they were listening to me, often forgetting things I’ve mentioned. I would just dismiss it since not everyone has a good memory but, even while I talk to them, they don’t make eye contact with me, they just stayer phone while saying they’re listening to me every now and then. The main thing that gets people telling me that they’re toxic is the fact that they would hit me randomly, I guess it was their version of fun. They began drifting away the last year we were together, I noticed and I thought to myself that it would be a good plan just to treat them nicely until they left, I did so, then lost it and broke up with them and ghosted them after they mentioned keeping a long distance relationship. It did feel a bit bad since they are polyamorous and they’ve had multiple long distance relationships that they prioritize. After realizing my mistake, I recontacted my ex and simply asked if I could clear up some things since I repetitively apologized, not that really does anything. so they let me exp,Ian myself and every now and then I send them a message hoping they’re well and wishing them well off. However, I did simply think I’d get over it right away just like every other relationship, only to quickly realize, this wasn’t just any relationship and I really messed up. It’s been like 4 months and I still can’t seem to get over it, I think a few more months might do it, but if it doesn’t, I’m not quite sure what to do then. I’ve just been sitting around and feeling terrible, I do want to try and go back with them but, I know that i’m a terrible person and shouldn’t, so I’m just stuck on what to do. I’love appreciate any advice I can get since there’s no one in my life I can really sit down and say this to without them saying,”Why do you even still talk to them, they were terrible to you” or,”Fine just crawl back to them, it won’t be any different.” So I’d really appreciate something true.

Sold my 2019 Elantra value edition 45,200 miles for $17,600 to Carmax who paid off my remaining $3422 I owed over 13 more months @ 4.29 % (payment for $251)
Took the $14,158 and put it in my bank for the down payment on a 2023 sonata.
Had pre negotiated with two local dealers and got an out the door price of $28,798
MSRP $29,070 Savings $2,627.78
Price $26,442.22 Tax $1,569.79 Processing $699 Lic & Rec $87
Total $28,798
Down payment of $14,200
Financed $14,598 @ 0% for 48 months
Payment is like $304.12
I hated to get rid of the Elantra but as it was our pre child car and CarMax was offering almost MSRP I paid for it back in 19 I kind of felt crazy not to.
We needed a bigger vehicle and probably could have made things work but ultimately decided the timing was as good as it was going to get for maximizing my current vehicles value and getting the best deal on the Sonata now that things have cooled a little bit.
Quick question, how do dealers figure sales tax? In KY I thought we had a 6% rate but I couldn’t make sense of the tax number for either dealers written offer.

Theres a sale plus $4 off $30 so i got 8 additional off the sale price for all in cost of right at 60

Hello,
Timestamp
Today I have some Crown Zenith duplicates for trade/sale. Here are better photos of some of the more valuable cards, but all cards pictured in the Timestamp above are available. If additional close ups are needed, feel free to ask.
Would love to trade for Suicune V as thats the last legendary dog I need. I'll trade in your favor, can do a card + PayPal, or would be open to buying outright if needed.
I am also open to other trades if you want to link a binder or recent post.
I also have this Shiny Yanma from Surpreme Victors. This bad boy is burning a hole in my pocket since I dont really collect cards from this era. TCG price is $35, I will do $26 PWE or $32 BMWT. TV will be $30.
Pricing is 10% off TCGplayer for sellers with over 1000 trades.
Shipping is $1 PWE, $5 BMWT
Thanks for stopping by!

My parents separated about 4 years ago and subsequently sold the house in 2021. Since the sale I’ve been living with her and her new boyfriend (we’ve been renting, haemorrhaging money in some respects), but she is frustrated with cohabiting with him and wants more space - with our lease up in a few months, it’s time to think about it.
She suggested that “we work hard and buy a house together”, on paper it makes sense as she won’t be able to get a mortgage at her age (54) and I (25) don’t have the capital required for a deposit. However I’m having major reservations about going down this path. First and foremost, we don’t share the same goals - she’s planning towards retirement whereas I’m looking at establishing my career, having dealt with a lot of mental health issues and bouncing around a couple dead-end jobs after graduating from university. Secondly I’m concerned by her approach with money, spending somewhat frivolously on luxuries we don’t really need, because she is convinced her MLM-type crypto investments (look up Cashfx and Hyperfund) will come good, based off her trust in a friend who quit his job off the back of his success with it. Last but not least, I would like to have more independence and feel more control over my life, having felt very isolated living at home for what feels like an eternity.
I know I am in no position to buy a house, not even close, without significant help. What I’m wondering is, if it would be a mistake to not take the opportunity to get on the housing ladder as soon as possible rather than maybe 5-10 years from now, IF I meet a partner. What’s for sure is that it’s important to have this conversation with my mum sooner rather than later. Has anyone bought a house with a parent before? Is it likely to turn out well?

Hello, im wondering, if there is a way to create "database" in power BI and then use it as source for Excel data model. Example: every month, i receive excel file with roughly 200.000 rows. I want to connect it to older file and create sales history. This wil continue untill eternity, and excel capaciry is for 5 months (1 mil rows). However, i like excel as analyzing tool and therefore would like to combine power bi's ability to store data and excel ability for user friendly interface. I was able to import all data to power BI and refresh it with new data set (creating one big combined table as future data source). And save the file. . But im not able to figure out, how to use it as a source for excel data model (power pivot->manage->from other sources... gives no options for power bi).
thx

West Tuality Habitat for Humanity Presents Lifetime Achievement Award to Architect Kerry VanderZanden in appreciation of 30 years’ service with the Forest Grove-based nonprofit.
Representatives from West Tuality Habitat for Humanity presented a Lifetime Achievement Award to architect Kerry VanderZanden in appreciation of 30 years’ service with the Forest Grove-based nonprofit. VanderZanden has designed every development project and home built by West Tuality in the last 30 years – 27 homes in total.
https://www.westtualityhabitat.org/press-room/west-tuality-habitat-presents-lifetime-achievement-award-to-architect-kerry-vanderzanden
West Tuality Habitat for Humanity is a local affiliate of Habitat for Humanity International and was formed in 1991. It is a 501-c-3 charitable organization which develops and builds homes with local community members in Western Washington County who are considered low-income.
Habitat houses are built primarily by volunteers. For West Tuality Habitat, there is a core group of volunteers with advanced construction skills who work at least three days a week on Habitat projects in Western Washington County. These core volunteers are regularly joined in the work by families that have qualified for home ownership through Habitat, as well as volunteers from the community.
In addition to the affordable housing program, West Tuality Habitat also has a critical home repair program for low-income seniors, military veterans, and people with disabilities, allowing them to remain in their homes and age in place. West Tuality Habitat also operates a ReStore in Forest Grove, selling gently-used, donated furniture, appliances, home furnishings and leftover building supplies. These sales help fund its Habitat activities in the area.
For more information about donating financially, volunteering or applying to be a program participant, visit the West Tuality Habitat for Humanity web site at www.westtualityhabitat.org or call (503) 359-8459. There is also information available at the Forest Grove ReStore at 3731 Pacific Avenue.

Hello, I haven't played retail wow since WoD, and am thinking about getting back into it. I played classic and BC classic but got burnt out in WotlK. My questions are

1. I want to try a new class as I've never played monk, demon hunter, or evoker. Which are the most fun for leveling, bg's, and dungeons? (Don't care about min/maxing for arena or raids.)
   
2. I'll get the base 50 dollar game cus I don't care for paid cosmetics or lvl boost. Is now the time to buy or will a sale be coming soon?
   
3. How is leveling in the old expansions? I want to play through legion, BFA and Shadowlands as I level up to quest and explore the zones. Is it good exp? I plan on doing some dungeons too to add variety.
   

Thanks in advance for the help!

Hi, I have a nice mousepad for sale.
LGG Saturn Pro XL Red - Very good condition, used for 2-3 days. I will ship it in the original box.
Timestamp
Price: €55 + ship
EU shipping preferable, buyer covers shipping.
Comment before PM.

I wanted to know if there are any lawyers who would help me legally obtain ownership of a dog:
My boyfriend had bought our dog, Rocky a year ago when he was a puppy, and I have become very attached to him and Rocky has became attached to me as well. I have everything under my name: pet insurance, registered in my hometown, he's registered as my emotional support dog. I still have not got around to micro chipping him or making him a full service dog just yet. My boyfriend, who will be my soon to be EX, has made it known numerous times that I am responsible for the dog but the jerk he is he does make comments to me and other people by saying that he bought our dog for $5,000 but he does not give a crap about him. He does not want to walk him, feed him, bathe him or even buy supplies for him. He cancelled the pet insurance that he had for him and told me to get the insurance under my name and take care of him. He refuses to be responsible for Rocky but is quick to me comments that he paid for him.
If I have a lot of documentation showing my name and showing that I basically raise and take of Rocky will that give me custody of him?
I want to end things with my boyfriend but I want to take Rocky with me.

Proof : https://imgur.com/a/JbP99YR
Hello everyone ! Today i have a very big lot of banknotes for sale , 1092 old banknotes , and 95 uncirculated 100 ryels from cambodia 2014 .
In the old banknotes i saw a lot of german hyperinflation banknotes from 1923 , a lot of different denominations, also a lot of old french ,italian , yugoslav , Austria, spain , quite a lot from South america , africa and asia too . A lot of banknotes are from 1910-1950.
99 % of the old banknotes are circulated and a lot of them are very damaged , holed and torn .
I'm selling the entire lot for 500 USD shipping and insurance included. ( 42 cents per banknote)
If you want more photos of the lot , please contact me .
I'm shipping from France and i can ship saturday morning. I accept PayPal (FF and GS) and wise transfer for the payment .

In order to gear up for the Sweet 16, I have put together some profiles and matchup previews of Thursday's action. I will hopefully have the same for Friday's games at some point tomorrow! In the meantime, lets enjoy another day of women's hoops and NIT games tomorrow.
Game 1: (3)Kansas State vs (7)Michigan State
Team Profile: (3)Kansas State
KenPom: 21
T-Rank: 23
Major Contributors (usage on at least 24% of possessions): Markquis Nowell, Keyonte Johnson
Kansas State is one of the biggest surprises of the 22-23 CBB season. Their two-headed monster of Nowell and Johnson led Kansas State to 9 quad 1 regular season victories. K-State, despite being one of the shortest high major teams, brings the 17th ranked defense in the nation into this game. The Wildcats like to play an up-tempo style of offense and get their playmakers to the rim. They are a team that relies heavily on points in the paint and point at the line rather than a 3pt centric offense. Kansas State is also 7th in the country in assists per made field goal, making them one of the better passing teams in the country.
Team Profile: (7)Michigan State
KenPom: 25
T-Rank: 24
Major Contributors: AJ Hoggard
Michigan State is a team that has been on deep runs before, including a trip to the Final Four as a 7 seed once. AJ Hoggard has once again been one of the best guards in the Big 10 and the nation. Michigan State is a team that is lethal from three, though they attempt about 5% fewer threes per game than the national average. They play stout defense, but are really bad at forcing turnovers. Michigan State has the single hardest SOS of any team left in the field, this includes three non-conference games against tournament teams. MSU likes to slow the game down and run this offense through Hoggard in the halfcourt.
Game Profile:
Spread: MSU -2
These two teams are very different in their style of play. MSU likes to slow it down, play in the halfcourt, and create open jump shots. Kansas State likes to run and get quick buckets or free throws by driving towards the basket. Look for K-State to make constant runs at the hoop and try to force MSU into turnovers. The key to the game for Michigan State is to keep the ball safe and make their open three point shots. For K-State, they need to force turnovers and get some of these MSU bigs into foul trouble.
Game 2: (4)UConn vs (8)Arkansas
Team Profile: (4)UConn
KenPom: 4
T-Rank: 4
Major Contributors: Adam Sanogo, Donovan Clingan
The UConn Huskies are a lethal 4 seed to say the least. They possess the 3rd best offense in the country led by two behemoths in Sanogo and Clingan. Part of their success is the 2nd best offensive rebounding rate in the country. It provides them with a lot of opportunities for 2nd chance points. Look for UConn to try and play bully ball over their opponents, especially teams that lack size
Team Profile: (8)Arkansas
KenPom: 18
T-Rank: 18
Major Contributors: Nick Smith
While Smith has a lot of draw when healthy, he has been anything but in his freshman season for the Razorbacks. Arkansas’ bread and butter is their defense. They defend the arc incredibly well and utilize their athleticism to create turnovers. They shoot terribly from three, but have so many ways to attack the rim and create layup opportunities for their playmakers
Game Profile:
Spread: UConn -3.5
Arkansas is a tough matchup for anybody with their athleticism. I am looking for them to be aggressive in taking it hard to the rim. Mission number 1 should be to get Sanogo and Clingan in foul trouble. Arkansas also needs to be efficient making their shots and fight hard for defensive boards so rebounds don’t become a huge advantage for UConn. The Huskies meanwhile can spread the floor with two big athletes in the middle. Open threes are going to be hard to come by, so UConn is going to need to use their size to their advantage. Something they have been very good at when it counts. If this game features whistle happy refs, this will really give Arkansas the help they need.
Game 3: (4) Tennessee vs. (9) Florida Atlantic
Team Profile: (4)Tennessee
KenPom: 6
T-Rank: 5
Major Contributors: Olivier Nkamhuoa, Josiah-Jordan Jones
Tennessee has overcome a crushing injury to Zakai Zeigler to find themselves in the 2nd weekend. The Vols bring with them a ferocious defense that is currently ranked #1 in the country. Tennessee refuses to give up easy threes or really any easy buckets for that matter. Offensively, this team has been very up and down as they often rely on 2nd chance points. If Tennessee wants to continue this run, they are going to need Finnish stud, Nkamhuoa, to lead this offense.
Team Profile: (9) Florida Atlantic
KenPom: 22
T-Rank: 31
Major Contributors: Johnell Davis, Alijah Martin
FAU is a very well balanced team. It’s hard to find anything they don’t do well besides consistency in hitting their free throws. With so many ways to win, they have amassed 33 total wins compared to just 3 losses. That being said, they aren’t elite at any one thing either. FAU runs this offense through two outstanding guards in Davis and Martin, both of them are still just sophomores. FAU likes to score from beyond the arc, they have 4 guards that shoot between 37-40% from three. FAU is also one of the shortest teams in D1.
Game Profile:
Spread: Tenn -5
FAU is going to want to score the three ball, but that is extremely hard against a Tennessee team that can flat out dominate the three point line defensively. Tennessee is going to have to get creative to hang with FAU’s ability to score. FAU’s keys to winning this game are going to be maximizing scoring opportunities against a great defense. Meanwhile, Tennessee has to find a way to score enough to beat such a talented and well rounded team
Game 4: (2)UCLA vs (3)Gonzaga
Team Profile: (2) UCLA
KenPom: 3
T-Rank: 3
Major Contributors: Jaime Jaquez, Tyger Campbell
UCLA is an experienced and unbelievably talented team. Led by two seniors, the Bruins are one of the best teams in the nation on both sides of the ball. UCLA excels in turnover differential. They take good care of the ball while forcing the 11th most turnovers in the country. They shoot well from three, but prefer to generate offense inside the arc when possible.
Team Profile (3) Gonzaga
KenPom: 7
T-Rank: 8
Major Contributors: Drew Timme
Gonzaga brings the number 1 offense in the country to this game. They can score inside and out with veteran big man Drew Timme leading the team. Gonzaga plays quickly and has an uncanny ability to generate open looks and opportunities down low for Timme. The Zags have a lot of question marks on defense which despite a historically good offense has held them back from the elite status we’ve grown accustomed to seeing from them.
Game Preview:
Spread: UCLA -2
This very well could be the best game of the Sweet 16. Gonzaga is going to have a hard time defensively, but I’m very excited to see how this offense performs against a very good UCLA team. On the other hand, UCLA absolutely has to get the scoring going in this game or they are at serious risk of ending up down a lot of points. The Bruins do boast a terrific defense though which will need to step up to keep the Zags from lighting up the scoreboard.

So I got the game not too long ago cause it was on sale…and I made a player in FOTF (face of the franchise), I chose running back as my position and then I became a halfback for the cowboys…I was locked to only playing my character…and as much as it was cool for abit the cpu fuckin sucks…I come back the next day and my file is saved as QB for some reason and it was only leveling up points as a QB so I can to delete it and make a new career…after I made the new career I chose the chiefs cause I was level 78 at this point and got a better deal…the first game I got the option to play a full 60 min game and I was in control of the entire team including defence!
So I deleted that profile cause I wanted to see if it would work while I was on the cowboys and it was just make me super sim all over again…
Is their no way to just play as the full team in this mode ? It would be so much better if I can control the defence and the entire offence…
If someone can help with this, that would be great

GPT-4 reply:

1. 1959 - Machine learning: Arthur Samuel developed a self-learning checkers program, demonstrating that AI could learn and improve its performance over time.
   
2. 1961 - Assembly line work: The first industrial robot, Unimate, was used in a General Motors factory to perform repetitive tasks, increasing productivity and safety.
   
3. 1964 - Optical character recognition (OCR): AI software for converting printed text into digital text was developed, making data entry more efficient.
   
4. 1970 - Medical diagnosis assistance: AI programs like MYCIN began aiding doctors in diagnosing bacterial infections, improving accuracy and reducing human errors.
   
5. 1976 - Speech recognition: AI systems like Carnegie Mellon's HARPY system understood spoken language, transcribing speech into text more efficiently.
   
6. 1981 - Robotic vacuum cleaners: The first robotic vacuum cleaner, the "Fugure 2000," demonstrated that AI could perform household cleaning tasks.
   
7. 1997 - Chess playing: IBM's Deep Blue defeated world chess champion Garry Kasparov, showcasing AI's ability to outperform humans in strategy games.
   
8. 2002 - Robotic lawn mowing: Robomow introduced automated lawn mowers, enabling efficient and precise lawn maintenance without human intervention.
   
9. 2005 - Autonomous driving: DARPA's Grand Challenge showcased self-driving cars, paving the way for AI to revolutionize transportation.
   
10. 2010 - Image recognition: AI algorithms like AlexNet excelled at classifying images, surpassing human performance in object recognition tasks.
    
11. 2011 - Natural language processing: IBM's Watson defeated Jeopardy! champions, demonstrating AI's capacity for understanding and processing human language.
    
12. 2012 - Automatic translation: Google Translate's AI-driven algorithms significantly improved, providing more accurate translations between languages.
    
13. 2014 - Facial recognition: DeepFace, developed by Facebook, achieved human-level performance in identifying faces, enabling advanced security and identification applications.
    
14. 2015 - Video game playing: AI agents began surpassing human performance in complex games like Dota 2, showcasing their ability to learn and adapt.
    
15. 2016 - Voice assistants: AI-powered voice assistants like Amazon Alexa and Google Assistant became widely adopted, offering hands-free assistance in daily tasks.
    
16. 2017 - Medical image analysis: AI systems surpassed human performance in diagnosing diseases from medical images, improving accuracy and speed in healthcare.
    
17. 2018 - Protein folding prediction: DeepMind's AlphaFold demonstrated significant advancements in predicting protein structures, revolutionizing drug discovery and biology.
    
18. 2019 - Text generation: OpenAI's GPT-2 showcased human-like text generation capabilities, automating content creation and summarization tasks.
    
19. 2020 - Autonomous drones: AI-powered drones were developed for precise agricultural monitoring, reducing human labor and increasing efficiency in farming.
    
20. 2021 - Artificial creativity: AI-generated art and music began achieving human-level quality, pushing the boundaries of creative expression.
    
21. 2021 - Robotic surgery: AI-assisted surgical robots like the da Vinci Surgical System achieved human-level precision, enabling minimally invasive procedures with reduced complications.
    
22. 2021 - Drug discovery: AI-driven platforms accelerated drug development, predicting molecule behavior and optimizing drug candidates with greater speed and accuracy.
    
23. 2021 - Fraud detection: AI algorithms outperformed humans in detecting fraudulent transactions, increasing security and reducing financial losses for businesses.
    
24. 2021 - Customer service: AI-powered chatbots provided efficient, 24/7 customer support, resolving inquiries with human-like responsiveness.
    
25. 2021 - News summarization: AI systems excelled at summarizing news articles, providing concise, accurate summaries at a fraction of the time required by humans.
    
26. 2022 - Stock trading: Algorithmic trading systems outperformed human traders, utilizing vast amounts of data to make more informed decisions and execute trades faster.
    
27. 2022 - Robotic exoskeletons: AI-powered exoskeletons enabled disabled individuals to regain mobility, performing movements with human-like precision and responsiveness.
    
28. 2022 - Autonomous shipping: AI-controlled cargo ships demonstrated safe, efficient navigation, reducing the need for human crew and the risk of accidents.
    
29. 2022 - Content moderation: AI algorithms became more effective at identifying and removing harmful content online, reducing the burden on human moderators.
    
30. 2022 - Movie script analysis: AI systems assessed movie scripts for potential success, predicting box office performance with greater accuracy than human experts.
    
31. 2022 - Document review: AI tools outperformed humans in reviewing and categorizing legal documents, increasing efficiency and reducing the risk of human error.
    
32. 2022 - Retail inventory management: AI-powered inventory systems optimized stock levels and predicted demand, enabling more efficient supply chain management.
    
33. 2022 - Waste sorting: AI-assisted robots accurately sorted waste materials, increasing recycling rates and reducing the need for manual labor.
    
34. 2022 - Weather forecasting: AI-driven models enhanced weather predictions, improving accuracy and providing more detailed forecasts than traditional methods.
    
35. 2022 - Human resources: AI-powered tools streamlined recruitment, assessing candidate qualifications and predicting job performance with greater accuracy than human evaluators.
    
36. 2023 - Financial planning: AI-driven financial advisors provided personalized, data-driven advice, outperforming human financial planners in generating optimal investment strategies.
    
37. 2023 - Elderly care: AI-powered robots assisted in elderly care, monitoring health, providing companionship, and performing basic tasks with human-like compassion and skill.
    
38. 2023 - Wildlife monitoring: AI-controlled drones and cameras identified and tracked wildlife populations, enabling more efficient conservation efforts.
    
39. 2023 - Predictive maintenance: AI systems accurately predicted equipment failure, optimizing maintenance schedules and reducing downtime in industrial settings.
    
40. 2023 - Urban planning: AI-driven simulations modeled complex urban systems, enabling more informed decision-making and better resource allocation than human experts alone.
    
41. 2023 - Astrophysics: AI algorithms identified exoplanets and analyzed astronomical data with greater speed and precision than human scientists, advancing our understanding of the universe.
    
42. 2023 - Video editing: AI-powered tools streamlined video editing tasks, automatically selecting and combining clips to create polished, professional videos.
    
43. 2023 - Agriculture: AI-driven farm management systems optimized crop growth, irrigation, and fertilization, increasing efficiency and reducing human labor requirements.
    
44. 2023 - Virtual reality: AI-generated realistic virtual environments provided immersive experiences for training, gaming, and social interaction, surpassing human-created environments in complexity and realism.
    
45. 2023 - Cooking: AI-powered robotic chefs demonstrated human-level culinary skills, preparing meals with precision and creativity.
    
46. 2023 - Scientific research: AI-driven literature analysis and hypothesis generation accelerated scientific discoveries, identifying patterns and connections beyond human cognitive capabilities.
    
47. 2023 - Fashion design: AI-generated fashion designs combined style, function, and trends, creating innovative clothing and accessories at a faster pace than human designers.
    
48. 2023 - Material science: AI algorithms accelerated material discovery and optimization, predicting properties and performance with greater accuracy than human scientists.
    
49. 2023 - Seismic data interpretation: AI systems outperformed humans in interpreting seismic data, enabling more accurate predictions of oil and gas deposits and reducing exploration risks.
    
50. 2023 - Education: AI-driven personalized learning systems adapted to individual students' needs, optimizing educational outcomes and surpassing traditional teaching methods.
    
51. 2024 - Mental health assessment: AI-powered tools accurately assessed mental health conditions, providing more timely and personalized support for individuals in need.
    
52. 2024 - Industrial design: AI systems generated innovative product designs, optimizing functionality and aesthetics while reducing development time.
    
53. 2024 - Cybersecurity: AI-driven threat detection and response systems outperformed human analysts, providing more comprehensive and effective protection against cyberattacks.
    
54. 2024 - Architecture: AI-generated architectural designs optimized space usage, sustainability, and aesthetics, outperforming traditional human-driven design processes.
    
55. 2024 - Sports coaching: AI-powered analysis of athlete performance provided personalized training programs, enhancing performance and injury prevention beyond human coaching capabilities.
    
56. 2024 - 3D modeling: AI-driven tools automated complex 3D modeling tasks, producing high-quality models at a faster pace than human artists.
    
57. 2024 - Marketing: AI-generated marketing campaigns analyzed consumer preferences and trends, creating targeted and effective advertisements that outperformed human-driven strategies.
    
58. 2024 - Music composition: AI-composed music achieved human-level creativity and complexity, expanding the realm of musical possibilities.
    
59. 2024 - Social media management: AI-powered tools optimized content creation, scheduling, and engagement, outperforming human social media managers in efficiency and reach.
    
60. 2024 - Technical support: AI-driven systems provided real-time, personalized technical support, resolving issues more quickly and accurately than human agents.
    
61. 2024 - Language learning: AI-driven language learning platforms provided personalized, immersive experiences, accelerating language acquisition beyond traditional teaching methods.
    
62. 2024 - Transportation management: AI-powered traffic control systems optimized traffic flow and reduced congestion, surpassing human-operated systems in efficiency and effectiveness.
    
63. 2024 - Pharmaceutical manufacturing: AI-driven process optimization in pharmaceutical production increased efficiency, quality, and safety, outperforming traditional human-controlled processes.
    
64. 2025 - Robotic journalism: AI-generated news articles achieved human-level quality, covering a wider range of topics and providing faster updates than human journalists.
    
65. 2025 - E-commerce: AI-powered recommendation engines surpassed human curators in providing personalized product suggestions, increasing customer satisfaction and sales.
    
66. 2025 - Hazardous materials handling: AI-controlled robots safely managed hazardous materials, reducing human exposure and risk in dangerous environments.
    
67. 2025 - Emergency response: AI-driven systems coordinated emergency response efforts, optimizing resource allocation and decision-making in critical situations.
    
68. 2025 - Environmental monitoring: AI-powered systems analyzed environmental data, predicting and mitigating the impact of natural disasters more effectively than human-led efforts.
    
69. 2025 - Robotic nursing: AI-assisted robots provided human-like care in hospitals and healthcare facilities, improving patient outcomes and reducing the burden on human nursing staff.
    
70. 2025 - Quality control: AI-driven inspection systems surpassed human performance in identifying manufacturing defects, increasing overall product quality and reducing waste.
    
71. 2025 - Art restoration: AI-powered tools accurately restored damaged artworks, preserving cultural heritage with greater precision than human restorers.
    
72. 2025 - Construction: AI-assisted robots performed construction tasks with human-like precision, improving efficiency and reducing the risk of accidents on job sites.
    
73. 2025 - Geospatial analysis: AI-driven tools outperformed humans in processing and interpreting geospatial data, supporting more informed decision-making in various fields.
    
74. 2025 - Event planning: AI-powered tools streamlined event management, optimizing logistics and resource allocation more effectively than human planners.
    
75. 2025 - Air traffic control: AI-driven systems managed air traffic with greater efficiency and safety, reducing delays and the risk of accidents.
    
76. 2026 - Medical research: AI algorithms accelerated the analysis of medical data, identifying correlations and patterns beyond human capabilities, and speeding up medical breakthroughs.
    
77. 2026 - Personal fitness coaching: AI-driven fitness apps provided personalized exercise programs and real-time feedback, outperforming human personal trainers in convenience and effectiveness.
    
78. 2026 - Robotic bartending: AI-powered robotic bartenders mixed and served drinks with human-level precision, increasing efficiency and consistency in the hospitality industry.
    
79. 2026 - Genetic analysis: AI systems outperformed humans in interpreting genetic data, enabling more accurate predictions of disease risk and personalized medicine.
    
80. 2026 - Urban farming: AI-driven vertical farming systems optimized crop growth and resource usage, surpassing traditional human-operated farming methods in efficiency and sustainability.
    
81. 2026 - Ocean exploration: AI-powered underwater drones mapped and analyzed ocean depths, providing insights into marine ecosystems and geological features beyond human capabilities.
    
82. 2026 - Biomedical engineering: AI-driven design and optimization of medical devices and prosthetics achieved superior performance and customization compared to traditional human-led approaches.
    
83. 2026 - Public safety: AI-powered surveillance and predictive analytics enhanced public safety efforts, preventing and responding to incidents more effectively than human-led initiatives.
    
84. 2026 - Veterinary diagnostics: AI systems accurately diagnosed animal diseases, improving veterinary care and reducing the need for invasive procedures.
    
85. 2026 - Water management: AI-driven water treatment and distribution systems optimized resource usage and minimized waste, outperforming traditional human-operated systems.
    
86. 2027 - Animation: AI-generated animations achieved human-level quality and expressiveness, reducing the time and labor required for complex animation projects.
    
87. 2027 - Space exploration: AI-powered systems and robots performed space exploration tasks with greater autonomy and efficiency, reducing the need for human intervention in harsh environments.
    
88. 2027 - Supply chain management: AI-driven tools optimized supply chain logistics, predicting demand fluctuations and reducing costs more effectively than human planners.
    
89. 2027 - Forest management: AI-assisted drones and robots monitored and maintained forest health, improving conservation efforts and reducing the need for human labor.
    
90. 2027 - Sentiment analysis: AI algorithms accurately assessed human emotions in text and speech, enabling more effective communication and customer service.
    
91. 2027 - Intellectual property management: AI-powered tools streamlined the patent application process, identifying prior art and generating patent claims more efficiently than human experts.
    
92. 2027 - Archaeological analysis: AI-driven tools deciphered ancient texts and analyzed artifacts with greater speed and accuracy than human archaeologists, uncovering new historical insights.
    
93. 2028 - Industrial inspection: AI-powered robotic systems performed comprehensive inspections of infrastructure and machinery, detecting flaws and predicting failures more accurately than humans.
    
94. 2028 - Interior design: AI-generated interior designs optimized space usage, aesthetics, and functionality, outperforming human designers in efficiency and personalization.
    
95. 2028 - Real estate appraisal: AI-driven tools assessed property values with greater accuracy and speed, reducing the need for manual appraisals.
    
96. 2028 - Human pose estimation: AI algorithms accurately analyzed human body movements in real-time, enabling advanced applications in sports, healthcare, and entertainment.
    
97. 2028 - Art curation: AI-generated art exhibitions combined aesthetics, historical context, and visitor preferences more effectively than human curators, enhancing the museum experience.
    
98. 2028 - Urban sanitation: AI-driven sanitation robots efficiently cleaned and maintained urban environments, reducing the need for human labor and improving public health.
    
99. 2028 - Sleep analysis: AI-powered sleep tracking devices provided personalized recommendations for sleep improvement, surpassing human-led sleep assessments in accuracy and convenience.
    
100. 2028 - Predictive policing: AI-driven tools analyzed crime data to predict and prevent criminal activity, enhancing public safety and resource allocation more effectively than traditional methods.
     
101. 2029 - Astrophotography: AI-driven image processing techniques enhanced astrophotography, achieving higher-quality images and revealing celestial details previously unattainable by human processing methods.
     
102. 2029 - Energy management: AI-powered systems optimized energy consumption and distribution in smart grids, improving efficiency and reducing environmental impact more effectively than human-led efforts.
     
103. 2029 - Telecommunications: AI-driven tools maintained and optimized telecommunications networks, enhancing reliability, and reducing downtime more efficiently than human technicians.
     
104. 2029 - Soil analysis: AI-powered soil sensors and analysis systems provided detailed, real-time information about soil health and composition, surpassing traditional human-operated testing methods.
     
105. 2029 - Sports analytics: AI-driven performance analysis tools provided real-time insights into team dynamics and player performance, improving coaching decisions and strategies more effectively than human analysis.
     
106. 2029 - Robotic caregiving: AI-assisted robots provided human-like care for children and individuals with special needs, offering personalized support, and reducing the burden on human caregivers.
     
107. 2029 - Art valuation: AI-driven systems accurately predicted the value of artworks, streamlining the appraisal process, and reducing subjectivity in the art market.
     
108. 2029 - Political analysis: AI-powered tools analyzed political data and public opinion more efficiently than human analysts, providing more accurate predictions of election outcomes and policy impacts.
     
109. 2029 - Film editing: AI-driven software streamlined film editing tasks, automatically selecting and combining clips to create engaging narratives more efficiently than human editors.
     
110. 2029 - Chemical engineering: AI algorithms accelerated chemical process design and optimization, predicting reaction outcomes and reducing trial-and-error experimentation in comparison to traditional human-led approaches.
     
111. 2030 - Gaming: AI-generated game content and characters provided unique, adaptive gaming experiences, surpassing the capabilities of traditional human-driven game development.
     
112. 2030 - Pest control: AI-powered pest detection and management systems improved agricultural productivity and reduced environmental impact more effectively than human-operated methods.
     
113. 2030 - Speech therapy: AI-driven speech therapy tools provided personalized, real-time feedback and progress tracking, enhancing outcomes more effectively than traditional human-led therapy.
     
114. 2030 - Natural language generation: AI systems composed human-like text across various domains, outperforming human writers in speed, accuracy, and adaptability.
     
115. 2030 - Job matching: AI-powered platforms accurately matched job seekers with relevant opportunities, optimizing the hiring process and reducing the need for human recruiters.
     
116. 2030 - Marine biology: AI-driven analysis of marine ecosystems provided deeper insights into species distribution and behavior, enabling more effective conservation efforts beyond human capabilities.
     
117. 2030 - Earthquake prediction: AI algorithms accurately predicted seismic events by analyzing vast amounts of geological data, outperforming traditional human-led methods.
     
118. 2030 - Online privacy: AI-driven privacy protection tools detected and mitigated online threats, ensuring user privacy and security more effectively than human-operated methods.
     
119. 2030 - DNA synthesis: AI-powered tools optimized DNA synthesis, improving the efficiency and accuracy of gene editing and synthetic biology applications beyond human-led approaches.
     
120. 2030 - Travel planning: AI-generated travel itineraries combined personal preferences, local insights, and real-time data to create customized experiences that surpassed traditional human-led planning.
     
121. 2031 - Space debris tracking: AI-driven systems accurately tracked and predicted the movement of space debris, improving satellite safety and collision avoidance beyond human capabilities.
     
122. 2031 - Wildlife conservation: AI-powered tools analyzed wildlife populations and habitats, enabling more effective conservation efforts and reducing the need for manual monitoring by humans.
     
123. 2031 - Molecular modeling: AI algorithms accurately predicted molecular structures and interactions, speeding up drug discovery and materials science research compared to human-led methods.
     
124. 2031 - Legal document analysis: AI-driven tools streamlined the review and analysis of legal documents, increasing efficiency and reducing errors compared to traditional human-led approaches.
     
125. 2031 - Smart homes: AI-powered systems managed energy consumption, security, and home maintenance more effectively than human-operated methods, improving comfort and sustainability.
     
126. 2031 - Disaster recovery: AI-driven robots and drones performed search and rescue operations in hazardous environments, reducing the risk to human responders and improving recovery outcomes.
     
127. 2031 - Bioinformatics: AI algorithms analyzed vast amounts of biological data, identifying patterns and correlations beyond human capabilities, leading to new discoveries in genetics and molecular biology.
     
128. 2031 - Waste management: AI-powered sorting and recycling systems improved waste management efficiency and reduced environmental impact more effectively than human-operated methods.
     
129. 2031 - Climate modeling: AI-driven climate models provided more accurate predictions of climate change impacts, informing policy decisions and mitigation strategies beyond human-led modeling capabilities.
     
130. 2031 - Talent scouting: AI-powered tools identified and evaluated prospective talent in sports, entertainment, and various industries, reducing human biases and improving selection processes.
     
131. 2032 - Robotic surgery: AI-assisted surgical robots performed complex procedures with greater precision and reduced complications compared to traditional human-led surgeries.
     
132. 2032 - Meteorology: AI-driven weather prediction models provided more accurate and localized forecasts, enhancing public safety and informing decision-making beyond human capabilities.
     
133. 2032 - Customer behavior analysis: AI-powered tools analyzed customer behavior and preferences more effectively than human analysts, enabling more targeted marketing and sales strategies.
     
134. 2032 - Pollution monitoring: AI-driven systems detected and analyzed air and water pollution levels, informing more effective environmental policies and cleanup efforts compared to traditional human-operated methods.
     
135. 2032 - Drone traffic management: AI-powered tools optimized drone flight paths and airspace usage, improving efficiency and reducing the risk of collisions beyond human-led management.
     
136. 2032 - Public health: AI algorithms analyzed vast amounts of health data, identifying disease outbreaks and predicting public health trends more accurately than human-led methods.
     
137. 2032 - Nanotechnology: AI-driven design and synthesis of nanomaterials accelerated advancements in electronics, medicine, and other fields beyond human capabilities.
     
138. 2032 - Personal finance management: AI-powered tools optimized budgeting, investment, and tax planning, providing personalized financial advice more effectively than traditional human advisors.
     
139. 2032 - Digital art: AI-generated visual art achieved human-level creativity and complexity, pushing the boundaries of artistic expression and reducing the time and effort required by human artists.
     
140. 2032 - Scientific peer review: AI-driven systems evaluated the quality and validity of scientific research, streamlining the peer review process and reducing human biases and errors.
     
141. 2033 - Electronic component design: AI-driven tools optimized the design and manufacturing of electronic components, improving performance and efficiency beyond human-led methods.
     
142. 2033 - Aquaculture: AI-powered systems managed fish farming operations, optimizing feeding, water quality, and growth rates more effectively than traditional human-operated methods.
     
143. 2033 - Fashion design: AI-generated fashion designs combined creativity, trend analysis, and customer preferences more effectively than human designers, streamlining the fashion industry.
     
144. 2033 - Music composition: AI-driven systems composed original music pieces in various genres, achieving human-level creativity and expression while reducing the time and effort required by human composers.
     
145. 2033 - Mental health assessment: AI-powered tools accurately assessed and diagnosed mental health conditions, improving access to mental health care and reducing the burden on human professionals.
     
146. 2033 - Materials discovery: AI algorithms accelerated the discovery and optimization of new materials for various applications, reducing the time and cost of experimentation compared to human-led approaches.
     
147. 2033 - Industrial design: AI-driven tools streamlined product design and prototyping, optimizing functionality, aesthetics, and manufacturability beyond human capabilities.
     
148. 2033 - Ecosystem restoration: AI-powered systems analyzed and managed ecosystem restoration projects, improving the efficiency and success rate of efforts to restore degraded environments.
     
149. 2033 - Seismology: AI algorithms analyzed seismic data more effectively than human seismologists, improving our understanding of Earth's geology and natural processes.
     
150. 2033 - Cognitive training: AI-driven cognitive training tools provided personalized and adaptive exercises, enhancing learning and memory more effectively than traditional human-led methods.
     

Hey all,
​
Would appreciate some feedback on selecting a job between two options as my first tech sales position.
​
First is in public affairs management. They've been around a decent amount of time and have a very structured 2 year training plan with lots of education and oversight. tons of different solutions- much more complex sales cycle im guessing.
​
Second is a insurance management tech company. Pretty new and just ramping first SDRs because they have so many leads they only needed AE's before now. I'm thinking if I'm halfway decent I could likely exceed quota here pretty quickly given its breaking into an industry and has shown exponential growth.
​
Base is similar startup is slightly higher. OTE steeply higher for the startup. Curious if most people would think it's insane to go with the startup instead of a more well established company with training culture.
​
Would love to discuss a bit more specifics if anyone is open to messaging.

For sale I have a used HP X32 gaming monitor. It is 32 inches, 1440p, 165hz, and IPS. For VRR it supports freesync premium.
1x HDMI 2.0, 1x DP 1.4, 1x Headphone jack
Bought last August from Bestbuy , less than 800 hours on the display.
Timestamps
Product Link
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$120 local cash only, PM and comment please
pickup or within 20 minutes in NJ of 08879