2010.06.02 03:42 kbrower Norfolk, Virginia - NFK - /r/norfolk
2017.06.23 08:37 jezza-r Transport For London!
2010.04.16 14:39 r/Cinema4D
2023.06.01 21:45 fidelityportland TriMet's problems are exponentially worse than anyone is talking about
Why aren't all frequent networks grids? The competing impulse is the radial network impulse, which says: "We have one downtown. Everyone is going there, so just run everything to there." Most networks start out radial, but some later transition to more of a grid form, often with compromises in which a grid pattern of routes is distorted around downtown so that many parallel routes converge there. You can see this pattern in many cities, Portland for example. Many of the lines extending north and east out of the city center form elements of a grid, but converge on the downtown. Many other major routes (numbered in the 70s in Portland's system) do not go downtown, but instead complete the grid pattern. This balance between grid and radial patterns was carefully constructed in 1982, replacing an old network in which almost all routes went downtown.Over the years the grid pattern was neglected in favor of a downtown-focused investment strategy. To a real degree it made practical sense: that's where the jobs were. But again, this is the presumption that TriMet and Mass Transit ought to service workers first, and there's not much consensus on that. But while we can't decide on TriMet's purpose, we can absolutely agree on one important thing: Downtown is dead.
At the busiest hours of the day, 40 light rail trains must cross the river and traverse downtown – one train every 90 seconds. As the region grows and the demand for light rail increases, the region will need at least 64 MAX trains through downtown every hour, more than one train each minute. Our current system can't support that change.Suppose you're silly enough to trust government propaganda. In that case, you can read the details of Metro study on this in 2019. If we assumed their numbers added up, it's just fucking impossible to run 62 trains per hour, because passenger loading and unloading can take a full minute (sometimes longer). So unless we want to apply substantial g-forces onto the passengers, the train isn't accelerating out of the stops fast enough. Not to mention how unreliable this whole system would be if a sole tweaker, bike rider, or person with a stroller held up the system for 2 minutes.
Today MAX is limited to 2-car trains because of the length of downtown city blocks. A tunnel could allow for longer trains if the stations outside the downtown core are retrofitted. In the long-term, this could greatly increase MAX capacity.Do you see that trick? Build a tunnel, yes - but the entire system has to be retrofitted. Literally every light rail station would need to be redesigned, the lines themselves recalculated for larger heavier trains - and extending platforms at Willow Creek might be simple enough, but how in the living fuck is Metro going to afford to expand the Zoo stop? Doubling the size of that platform would cost $500 million alone.
2023.06.01 21:40 sidewaysickness Question for the Truck drivers regarding their cameras
2023.06.01 21:36 Tartare91 AMD or Intel-Nvidia, which build is better ?
Type | Item | Price |
---|---|---|
CPU | AMD Ryzen 9 7900X 4.7 GHz 12-Core Processor | $409.00 @ Amazon |
CPU Cooler | Noctua NH-D15 chromax.black 82.52 CFM CPU Cooler | $119.95 @ Amazon |
Motherboard | MSI MPG B650 CARBON WIFI ATX AM5 Motherboard | $289.99 @ Amazon |
Memory | Corsair Vengeance 32 GB (2 x 16 GB) DDR5-6000 CL36 Memory | $99.99 @ Amazon |
Storage | Samsung 980 Pro 2 TB M.2-2280 PCIe 4.0 X4 NVME Solid State Drive | $139.00 @ Amazon |
Video Card | XFX Speedster MERC 310 Black Edition Radeon RX 7900 XTX 24 GB Video Card | $979.99 @ Amazon |
Case | Fractal Design Torrent ATX Mid Tower Case | $229.89 @ Amazon |
Power Supply | be quiet! Straight Power 11 850 W 80+ Platinum Certified Fully Modular ATX Power Supply | $196.76 @ Amazon |
Case Fan | be quiet! Silent Wings Pro 4 97.41 CFM 140 mm Fan | $49.87 @ Amazon |
Prices include shipping, taxes, rebates, and discounts | ||
Total | $2514.44 | |
Generated by PCPartPicker 2023-06-01 15:24 EDT-0400 |
2023.06.01 21:35 Mickleborough Out of Africa
2023.06.01 21:33 bigpoopercheeks My in-laws manipulate us all the time.
2023.06.01 21:24 RandomAppalachian468 Don't fly over Barron County Ohio. [Repost]
2023.06.01 21:24 Dramareader75 I am so sick and done with my mother and sister
2023.06.01 21:23 unisonicz From scratch lawn reno
2023.06.01 21:21 Anselme_HS Silouette piece or Shadow piece ? That is the question - ch 1085
2023.06.01 21:17 kindalosingmyshit Do I move or continue commuting?
2023.06.01 21:17 Temporary_Noise_4014 Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) Special Report
![]() | Predictmedix – a great way to surf the Artificial Intelligence wave. submitted by Temporary_Noise_4014 to PennyCatalysts [link] [comments] https://preview.redd.it/p6vawwx2ig3b1.png?width=741&format=png&auto=webp&s=16344b32088e8959d3e838a528a893994685ec85 There is a saying attributed to Mark Twain that goes, “History doesn’t repeat itself, but if often rhymes.” This means circumstances might be different but similar events often recur. This is good because securities regulators demand that you make it clear that in the financial markets, “Past performance is no guarantee of future results.” However, investment analysts continue to use rhymes and here’s one that could help you see sizeable investment returns from Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF). This is how the rhyme comes together: A. The 1990s technology boom: The parallel I see is between the current Artificial Intelligence cycle and the dot-com stock market cycle of ≈1990 to ≈ 2002. As background, the 1990s either developed or laid the groundwork for changes that completely transformed the world we live in. Out of that time came many new technologies and related developments and each was highly disruptive. Here is a very brief list of some of those developments: (1) Nokia was the first mass-produced cellphone offered in 1992 with the ability to send and receive phone calls as well as store data (e.g. phone numbers). (2) The World Wide Web, a.k.a. the Web browser was proposed in 1990 and debuted in 1991. This was the start of the Internet, Websites, e-mails and a massive amount of information that would become available to everyone. (3) With the explosion of data available, finding it became a challenge. Mosaic started as the first search engine in 1993 followed by Yahoo in 1994 and Google in 1998. Today, Google has risen to the top and become synonymous with an Internet search. Google it. (4) Other important developments of that time included the growth in the capacity of microprocessors, Photoshop, texting, rechargeable lithium-ion batteries, realistic videogames for a more adult market, collecting and using DNA, the start of e-tailing and more. (5) Finally, we have the stock market. Cisco, Dell, Intel and Microsoft are sometimes referred to as the four horsemen of the 1990s tech boom. But we can’t ignore Apple and Google and there were many more that benefited. The smaller, new, Initial Public Offering companies came to the fore with incredibly high returns in the second half of the 1990s. The chart to the right shows how stock markets performed during the 1990’s high-tech boom. A few things are worth noting: (1) The Dot.Com stock market cycle lasted a long t time. Essentially, more than the decade of the 1990s. It’s length reflected the importance of the fundamental changes taking place. (2) There was an important development regarding the stock market that has become part of the stock market legend. On December 5, 1996, Federal Reserve Board Chairman Alan Greenspan in a televised speech used the term “irrational exuberance” to describe a stock market that he thought was highly speculative and overvalued. His comment was intended as a warning from the Fed that the stock market, driven by the high-tech developments described above, was overvalued. His timing was five years early which is a lifetime in the stock market. (3) The five years after Greenspan’s “irrational exuberance” statement was the most profitable for investors of the entire ten years plus of the stock market cycle. As you sit reading this brief, imagine your life without a cell phone, the Internet, e-mail and text messages. How different would your life be without just these four products that emerged from the 1990s. A more relevant question might be how different would your life be if you had purchased shares in Apple or Cisco or Dell or Google or Microsoft back then? B. The Artificial Intelligence Boom (AI): The term Artificial Intelligence was created in 1955. The idea was to have a machine that could take data, and find patterns that would enable it to make predictions and reach conclusions (make decisions). The Oxford Dictionary defines AI as “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” It was Moore’s Law in 1975 that stated the capacity of semiconductors would continue to double every two years which enabled computers to be able to put into practice the AI Boom that is taking place today. Current forecasts say the AI industry will grow to $900 billion by 2026 and $15.7 trillion by 2030. AI growth in the 1920s could dwarf anything high-tech was able to accomplish in the 1990s. (1) There is an Artificial Intelligence (AI) boom going on and many people don’t yet realize it is even happening. AI is used in: i. Self-driving and parking cars. AI is used by Audi, Mercedes-Benz, Tesla, Toyota and Volvo. ii. Maps and navigation. Enter where you are and where you want to go by car and Google Maps, for example, will give you a choice of routes, the time optimal route taking into account construction and traffic. iii. Facial detection or recognition. Facial detection identifies a human face or facial recognition that identifies a specific face that can be used for surveillance and security. iv. Digital assistants such as Amazon’s Alexa, Apple’s Siri, Google’s Now and Microsoft’s Cortana. When combined with search and recommendation AI, Alexa or Siri is able to learn your preferences and recommend things you are interested in. v. Customer service chatbots that answer frequently asked questions, track orders or direct calls. Often people will be unaware they are dealing with a machine. vi. Vehicle recognition use computer vision and deep learning to find a specific car on a surveillance video. vii. Robot vacuums can scan a living area, look for and remember objects in the way, remember the best route for cleaning the area and decide how many times it should repeat cleaning a specific area. It is estimated that by 2030, between 400 and 800 million jobs will be displaced by Artificial Intelligence and 375 million people will have to change to a totally different type of work. It is also forecast that it is not just lower-paying, blue-collar jobs that will be replaced by AI. Jobs such as accountants, lawyers, doctors, investment advisors and portfolio managers might all be substantially eliminated. AI will impact all industries and the rate of change will be exponential, that is, the rate of change will accelerate. For example, what does a doctor do? In general, a doctor gathers new information, refers to a patient’s medical history, refers to a medical book or today’s Internet, makes a diagnosis and provides s treatment. This is also what a lawyer does. AI might reach the point where it can do it faster and better than a human.. AI does present threats to human existence. As AI is changing exponentially, it will happen faster than the technology boom of the 1990s. It took technology 20 years to produce the changes we discussed above. AI could produce equivalent changes in 10 or 15 years. For example, ChatGPT, an AI product went from zero to 100 million users within months making it the fastest-growing consumer software product in history. There will be others. (2) The AI shift could drive economic change and a stock market cycle at least as significant as the last “dot.com” cycle. The “go-to” companies today for participation in AI are the likes of Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA) and Oracle (NYSE: ORCL). These are very large companies. GOOGL has a market cap of $1.6 trillion, AMZN has a market cap of $1.2 trillion, META has a market cap of $$648 billion, MSFT has a market cap of $2.4 trillion, NCDA has a market cap of $963 billion and ORCL has a market cap of $282 billion. (3) While these are excellent businesses, they are also amongst the world’s largest companies. In 2022, GOOGL, META and MSFT purchased 2 out of every 3 AI chips. In my opinion, it is almost unthinkable that GOOGL can be a ten-bagger from a base market cap of $1.6 trillion or AMZN from $1.2 trillion. But it is clear these stocks now have a major component of their value derived from involvement in Artificial Intelligence and it is not surprising that early adopters would choose a lower risk/lower return approach to gain exposure to an emerging Artificial Intelligence industry. (4) The changes created by AI also carry some risks. The speed of change will be challenging to human beings. There are forecasts that say one in four workers globally will see their jobs disappear and one in eight workers will have to be retrained in a totally unrelated field. During the industrial revolution and the tech boom, there was always the promise of more and better jobs. With AI we may have reached the point where machines actually do replace workers. (5) Cathie Wood is a well-known and widely followed money manager with a reputation for expertise in the Artificial Intelligence sector. Wood manages a range of portfolios including the ARK Innovation Exchange Traded Fund (ARKK) and since its founding in 2014, Bloomberg estimates NDVA has contributed 13% of the fund’s 112% total return only behind Grayscale Bitcoin Trust, Invitae Corp and Tesla. That is all positive but Wood sold the ARKK holding in NVDA in January 2023 just before it rallied strongly adding some $560 billion to its market cap with $200 billion coming on one day after reporting earnings. Wood’s investors have basically missed the huge rally in the stock and the sector in 2023. (6) But there is another phase I would look for and that is the participation of smaller, retail investors. Whether it was in the tech cycle I discussed above, the “meme” stocks or commodity exploration and development cycles in the past, the retail investor buys in before the bull market ends. Market pundits such as Citi global asset allocation and Vanda Research make the same observation: where is the retail investor? We know the institutional investors have been getting in. So far in 2023 according to Bloomberg, the top 4% of stocks in the S&P 500 have contributed 94% of the index return and 8 of the top 20 include Apple, Microsoft, Amazon, Alphabet Class A, NVIDIA, Alphabet Class C, Tesla and Meta. In other words, the top 2% of the stocks in the S&P 500 contributed 94% of the return. Through mid-May, if the AI stocks are omitted, the S&P Index would be down -1.4% instead of up +8.3%. All of these stocks are AI leaders and each of them is an institutional stock. Yet, I believe the retail investor will come into the market and when they do, it is stocks like PMED for which they have always had an appetite. C. I think investors will get more bang for their buck by investing in a small company like Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) with a total commitment to AI. From a base market cap of $16.6 million and, as I have pointed out in recent reports, many different business verticals to get them higher, I see PMED as a unique opportunity for aggressive growth investors. It is hard to imagine any decade having more of an impact on the ensuring socio-economic decades than the 1990s. Imagine your activities today without your cellphone, Internet, email and texting. I expect the cycle driven by AI to be a long one, similar to the dot-com cycle that lasted longer than the decade of the 1990s. To the right is a chart published by Luke Lango’s Hypergrowth Investing. It shows the stock market in the 1990s and overlays current results. The parallels Lango sees include: • Federal Reserve’s tight money policy slowed economic growth in 1990 as it is doing currently. • In 1990, the markets were down around 20% and in 2022 stocks dropped around 25%. • In late 1990, the Fed started reducing interest rates and the markets rebounded. • In late 2022, the Fed has turned less hawkish and into 2023 has slowed the pace of interest rate increases. The markets have been recovering. • In the early 1990’s, the dot-com stock market rally began and the market would advance generally higher for the rest of the decade and into the new millennium. • Today, it is Artificial Intelligence that is pushing stocks higher and given my expectations for AI, it could stock prices higher until at least 2030. Conclusion: I believe Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is exceptionally well positioned to participate in the upcoming boom in Artificial Intelligence. There are many different ways to describe market cycles that evolve around such drivers. Here is mine:
|
2023.06.01 21:17 Jordansalterego New Puppy cannot do confinement.
2023.06.01 21:16 Temporary_Noise_4014 Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) Special Report
![]() | Predictmedix – a great way to surf the Artificial Intelligence wave. submitted by Temporary_Noise_4014 to Canadapennystocks [link] [comments] https://preview.redd.it/gj9fc2nzhg3b1.png?width=741&format=png&auto=webp&s=f87c4488fd2fac4388b4b65e352e8b286af88c9c There is a saying attributed to Mark Twain that goes, “History doesn’t repeat itself, but if often rhymes.” This means circumstances might be different but similar events often recur. This is good because securities regulators demand that you make it clear that in the financial markets, “Past performance is no guarantee of future results.” However, investment analysts continue to use rhymes and here’s one that could help you see sizeable investment returns from Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF). This is how the rhyme comes together: A. The 1990s technology boom: The parallel I see is between the current Artificial Intelligence cycle and the dot-com stock market cycle of ≈1990 to ≈ 2002. As background, the 1990s either developed or laid the groundwork for changes that completely transformed the world we live in. Out of that time came many new technologies and related developments and each was highly disruptive. Here is a very brief list of some of those developments: (1) Nokia was the first mass-produced cellphone offered in 1992 with the ability to send and receive phone calls as well as store data (e.g. phone numbers). (2) The World Wide Web, a.k.a. the Web browser was proposed in 1990 and debuted in 1991. This was the start of the Internet, Websites, e-mails and a massive amount of information that would become available to everyone. (3) With the explosion of data available, finding it became a challenge. Mosaic started as the first search engine in 1993 followed by Yahoo in 1994 and Google in 1998. Today, Google has risen to the top and become synonymous with an Internet search. Google it. (4) Other important developments of that time included the growth in the capacity of microprocessors, Photoshop, texting, rechargeable lithium-ion batteries, realistic videogames for a more adult market, collecting and using DNA, the start of e-tailing and more. (5) Finally, we have the stock market. Cisco, Dell, Intel and Microsoft are sometimes referred to as the four horsemen of the 1990s tech boom. But we can’t ignore Apple and Google and there were many more that benefited. The smaller, new, Initial Public Offering companies came to the fore with incredibly high returns in the second half of the 1990s. The chart to the right shows how stock markets performed during the 1990’s high-tech boom. A few things are worth noting: (1) The Dot.Com stock market cycle lasted a long t time. Essentially, more than the decade of the 1990s. It’s length reflected the importance of the fundamental changes taking place. (2) There was an important development regarding the stock market that has become part of the stock market legend. On December 5, 1996, Federal Reserve Board Chairman Alan Greenspan in a televised speech used the term “irrational exuberance” to describe a stock market that he thought was highly speculative and overvalued. His comment was intended as a warning from the Fed that the stock market, driven by the high-tech developments described above, was overvalued. His timing was five years early which is a lifetime in the stock market. (3) The five years after Greenspan’s “irrational exuberance” statement was the most profitable for investors of the entire ten years plus of the stock market cycle. As you sit reading this brief, imagine your life without a cell phone, the Internet, e-mail and text messages. How different would your life be without just these four products that emerged from the 1990s. A more relevant question might be how different would your life be if you had purchased shares in Apple or Cisco or Dell or Google or Microsoft back then? B. The Artificial Intelligence Boom (AI): The term Artificial Intelligence was created in 1955. The idea was to have a machine that could take data, and find patterns that would enable it to make predictions and reach conclusions (make decisions). The Oxford Dictionary defines AI as “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” It was Moore’s Law in 1975 that stated the capacity of semiconductors would continue to double every two years which enabled computers to be able to put into practice the AI Boom that is taking place today. Current forecasts say the AI industry will grow to $900 billion by 2026 and $15.7 trillion by 2030. AI growth in the 1920s could dwarf anything high-tech was able to accomplish in the 1990s. (1) There is an Artificial Intelligence (AI) boom going on and many people don’t yet realize it is even happening. AI is used in: i. Self-driving and parking cars. AI is used by Audi, Mercedes-Benz, Tesla, Toyota and Volvo. ii. Maps and navigation. Enter where you are and where you want to go by car and Google Maps, for example, will give you a choice of routes, the time optimal route taking into account construction and traffic. iii. Facial detection or recognition. Facial detection identifies a human face or facial recognition that identifies a specific face that can be used for surveillance and security. iv. Digital assistants such as Amazon’s Alexa, Apple’s Siri, Google’s Now and Microsoft’s Cortana. When combined with search and recommendation AI, Alexa or Siri is able to learn your preferences and recommend things you are interested in. v. Customer service chatbots that answer frequently asked questions, track orders or direct calls. Often people will be unaware they are dealing with a machine. vi. Vehicle recognition use computer vision and deep learning to find a specific car on a surveillance video. vii. Robot vacuums can scan a living area, look for and remember objects in the way, remember the best route for cleaning the area and decide how many times it should repeat cleaning a specific area. It is estimated that by 2030, between 400 and 800 million jobs will be displaced by Artificial Intelligence and 375 million people will have to change to a totally different type of work. It is also forecast that it is not just lower-paying, blue-collar jobs that will be replaced by AI. Jobs such as accountants, lawyers, doctors, investment advisors and portfolio managers might all be substantially eliminated. AI will impact all industries and the rate of change will be exponential, that is, the rate of change will accelerate. For example, what does a doctor do? In general, a doctor gathers new information, refers to a patient’s medical history, refers to a medical book or today’s Internet, makes a diagnosis and provides s treatment. This is also what a lawyer does. AI might reach the point where it can do it faster and better than a human.. AI does present threats to human existence. As AI is changing exponentially, it will happen faster than the technology boom of the 1990s. It took technology 20 years to produce the changes we discussed above. AI could produce equivalent changes in 10 or 15 years. For example, ChatGPT, an AI product went from zero to 100 million users within months making it the fastest-growing consumer software product in history. There will be others. (2) The AI shift could drive economic change and a stock market cycle at least as significant as the last “dot.com” cycle. The “go-to” companies today for participation in AI are the likes of Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA) and Oracle (NYSE: ORCL). These are very large companies. GOOGL has a market cap of $1.6 trillion, AMZN has a market cap of $1.2 trillion, META has a market cap of $$648 billion, MSFT has a market cap of $2.4 trillion, NCDA has a market cap of $963 billion and ORCL has a market cap of $282 billion. (3) While these are excellent businesses, they are also amongst the world’s largest companies. In 2022, GOOGL, META and MSFT purchased 2 out of every 3 AI chips. In my opinion, it is almost unthinkable that GOOGL can be a ten-bagger from a base market cap of $1.6 trillion or AMZN from $1.2 trillion. But it is clear these stocks now have a major component of their value derived from involvement in Artificial Intelligence and it is not surprising that early adopters would choose a lower risk/lower return approach to gain exposure to an emerging Artificial Intelligence industry. (4) The changes created by AI also carry some risks. The speed of change will be challenging to human beings. There are forecasts that say one in four workers globally will see their jobs disappear and one in eight workers will have to be retrained in a totally unrelated field. During the industrial revolution and the tech boom, there was always the promise of more and better jobs. With AI we may have reached the point where machines actually do replace workers. (5) Cathie Wood is a well-known and widely followed money manager with a reputation for expertise in the Artificial Intelligence sector. Wood manages a range of portfolios including the ARK Innovation Exchange Traded Fund (ARKK) and since its founding in 2014, Bloomberg estimates NDVA has contributed 13% of the fund’s 112% total return only behind Grayscale Bitcoin Trust, Invitae Corp and Tesla. That is all positive but Wood sold the ARKK holding in NVDA in January 2023 just before it rallied strongly adding some $560 billion to its market cap with $200 billion coming on one day after reporting earnings. Wood’s investors have basically missed the huge rally in the stock and the sector in 2023. (6) But there is another phase I would look for and that is the participation of smaller, retail investors. Whether it was in the tech cycle I discussed above, the “meme” stocks or commodity exploration and development cycles in the past, the retail investor buys in before the bull market ends. Market pundits such as Citi global asset allocation and Vanda Research make the same observation: where is the retail investor? We know the institutional investors have been getting in. So far in 2023 according to Bloomberg, the top 4% of stocks in the S&P 500 have contributed 94% of the index return and 8 of the top 20 include Apple, Microsoft, Amazon, Alphabet Class A, NVIDIA, Alphabet Class C, Tesla and Meta. In other words, the top 2% of the stocks in the S&P 500 contributed 94% of the return. Through mid-May, if the AI stocks are omitted, the S&P Index would be down -1.4% instead of up +8.3%. All of these stocks are AI leaders and each of them is an institutional stock. Yet, I believe the retail investor will come into the market and when they do, it is stocks like PMED for which they have always had an appetite. C. I think investors will get more bang for their buck by investing in a small company like Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) with a total commitment to AI. From a base market cap of $16.6 million and, as I have pointed out in recent reports, many different business verticals to get them higher, I see PMED as a unique opportunity for aggressive growth investors. It is hard to imagine any decade having more of an impact on the ensuring socio-economic decades than the 1990s. Imagine your activities today without your cellphone, Internet, email and texting. I expect the cycle driven by AI to be a long one, similar to the dot-com cycle that lasted longer than the decade of the 1990s. To the right is a chart published by Luke Lango’s Hypergrowth Investing. It shows the stock market in the 1990s and overlays current results. The parallels Lango sees include: • Federal Reserve’s tight money policy slowed economic growth in 1990 as it is doing currently. • In 1990, the markets were down around 20% and in 2022 stocks dropped around 25%. • In late 1990, the Fed started reducing interest rates and the markets rebounded. • In late 2022, the Fed has turned less hawkish and into 2023 has slowed the pace of interest rate increases. The markets have been recovering. • In the early 1990’s, the dot-com stock market rally began and the market would advance generally higher for the rest of the decade and into the new millennium. • Today, it is Artificial Intelligence that is pushing stocks higher and given my expectations for AI, it could stock prices higher until at least 2030. Conclusion: I believe Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is exceptionally well positioned to participate in the upcoming boom in Artificial Intelligence. There are many different ways to describe market cycles that evolve around such drivers. Here is mine:
|
2023.06.01 21:16 Temporary_Noise_4014 Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) Special Report
![]() | Predictmedix – a great way to surf the Artificial Intelligence wave. submitted by Temporary_Noise_4014 to CanadianStockExchange [link] [comments] https://preview.redd.it/madn1nknhg3b1.png?width=741&format=png&auto=webp&s=afdc89b341aef03eb0099910359090687d69568d There is a saying attributed to Mark Twain that goes, “History doesn’t repeat itself, but if often rhymes.” This means circumstances might be different but similar events often recur. This is good because securities regulators demand that you make it clear that in the financial markets, “Past performance is no guarantee of future results.” However, investment analysts continue to use rhymes and here’s one that could help you see sizeable investment returns from Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF). This is how the rhyme comes together: A. The 1990s technology boom: The parallel I see is between the current Artificial Intelligence cycle and the dot-com stock market cycle of ≈1990 to ≈ 2002. As background, the 1990s either developed or laid the groundwork for changes that completely transformed the world we live in. Out of that time came many new technologies and related developments and each was highly disruptive. Here is a very brief list of some of those developments: (1) Nokia was the first mass-produced cellphone offered in 1992 with the ability to send and receive phone calls as well as store data (e.g. phone numbers). (2) The World Wide Web, a.k.a. the Web browser was proposed in 1990 and debuted in 1991. This was the start of the Internet, Websites, e-mails and a massive amount of information that would become available to everyone. (3) With the explosion of data available, finding it became a challenge. Mosaic started as the first search engine in 1993 followed by Yahoo in 1994 and Google in 1998. Today, Google has risen to the top and become synonymous with an Internet search. Google it. (4) Other important developments of that time included the growth in the capacity of microprocessors, Photoshop, texting, rechargeable lithium-ion batteries, realistic videogames for a more adult market, collecting and using DNA, the start of e-tailing and more. (5) Finally, we have the stock market. Cisco, Dell, Intel and Microsoft are sometimes referred to as the four horsemen of the 1990s tech boom. But we can’t ignore Apple and Google and there were many more that benefited. The smaller, new, Initial Public Offering companies came to the fore with incredibly high returns in the second half of the 1990s. The chart to the right shows how stock markets performed during the 1990’s high-tech boom. A few things are worth noting: (1) The Dot.Com stock market cycle lasted a long t time. Essentially, more than the decade of the 1990s. It’s length reflected the importance of the fundamental changes taking place. (2) There was an important development regarding the stock market that has become part of the stock market legend. On December 5, 1996, Federal Reserve Board Chairman Alan Greenspan in a televised speech used the term “irrational exuberance” to describe a stock market that he thought was highly speculative and overvalued. His comment was intended as a warning from the Fed that the stock market, driven by the high-tech developments described above, was overvalued. His timing was five years early which is a lifetime in the stock market. (3) The five years after Greenspan’s “irrational exuberance” statement was the most profitable for investors of the entire ten years plus of the stock market cycle. As you sit reading this brief, imagine your life without a cell phone, the Internet, e-mail and text messages. How different would your life be without just these four products that emerged from the 1990s. A more relevant question might be how different would your life be if you had purchased shares in Apple or Cisco or Dell or Google or Microsoft back then? B. The Artificial Intelligence Boom (AI): The term Artificial Intelligence was created in 1955. The idea was to have a machine that could take data, and find patterns that would enable it to make predictions and reach conclusions (make decisions). The Oxford Dictionary defines AI as “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” It was Moore’s Law in 1975 that stated the capacity of semiconductors would continue to double every two years which enabled computers to be able to put into practice the AI Boom that is taking place today. Current forecasts say the AI industry will grow to $900 billion by 2026 and $15.7 trillion by 2030. AI growth in the 1920s could dwarf anything high-tech was able to accomplish in the 1990s. (1) There is an Artificial Intelligence (AI) boom going on and many people don’t yet realize it is even happening. AI is used in: i. Self-driving and parking cars. AI is used by Audi, Mercedes-Benz, Tesla, Toyota and Volvo. ii. Maps and navigation. Enter where you are and where you want to go by car and Google Maps, for example, will give you a choice of routes, the time optimal route taking into account construction and traffic. iii. Facial detection or recognition. Facial detection identifies a human face or facial recognition that identifies a specific face that can be used for surveillance and security. iv. Digital assistants such as Amazon’s Alexa, Apple’s Siri, Google’s Now and Microsoft’s Cortana. When combined with search and recommendation AI, Alexa or Siri is able to learn your preferences and recommend things you are interested in. v. Customer service chatbots that answer frequently asked questions, track orders or direct calls. Often people will be unaware they are dealing with a machine. vi. Vehicle recognition use computer vision and deep learning to find a specific car on a surveillance video. vii. Robot vacuums can scan a living area, look for and remember objects in the way, remember the best route for cleaning the area and decide how many times it should repeat cleaning a specific area. It is estimated that by 2030, between 400 and 800 million jobs will be displaced by Artificial Intelligence and 375 million people will have to change to a totally different type of work. It is also forecast that it is not just lower-paying, blue-collar jobs that will be replaced by AI. Jobs such as accountants, lawyers, doctors, investment advisors and portfolio managers might all be substantially eliminated. AI will impact all industries and the rate of change will be exponential, that is, the rate of change will accelerate. For example, what does a doctor do? In general, a doctor gathers new information, refers to a patient’s medical history, refers to a medical book or today’s Internet, makes a diagnosis and provides s treatment. This is also what a lawyer does. AI might reach the point where it can do it faster and better than a human.. AI does present threats to human existence. As AI is changing exponentially, it will happen faster than the technology boom of the 1990s. It took technology 20 years to produce the changes we discussed above. AI could produce equivalent changes in 10 or 15 years. For example, ChatGPT, an AI product went from zero to 100 million users within months making it the fastest-growing consumer software product in history. There will be others. (2) The AI shift could drive economic change and a stock market cycle at least as significant as the last “dot.com” cycle. The “go-to” companies today for participation in AI are the likes of Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA) and Oracle (NYSE: ORCL). These are very large companies. GOOGL has a market cap of $1.6 trillion, AMZN has a market cap of $1.2 trillion, META has a market cap of $$648 billion, MSFT has a market cap of $2.4 trillion, NCDA has a market cap of $963 billion and ORCL has a market cap of $282 billion. (3) While these are excellent businesses, they are also amongst the world’s largest companies. In 2022, GOOGL, META and MSFT purchased 2 out of every 3 AI chips. In my opinion, it is almost unthinkable that GOOGL can be a ten-bagger from a base market cap of $1.6 trillion or AMZN from $1.2 trillion. But it is clear these stocks now have a major component of their value derived from involvement in Artificial Intelligence and it is not surprising that early adopters would choose a lower risk/lower return approach to gain exposure to an emerging Artificial Intelligence industry. (4) The changes created by AI also carry some risks. The speed of change will be challenging to human beings. There are forecasts that say one in four workers globally will see their jobs disappear and one in eight workers will have to be retrained in a totally unrelated field. During the industrial revolution and the tech boom, there was always the promise of more and better jobs. With AI we may have reached the point where machines actually do replace workers. (5) Cathie Wood is a well-known and widely followed money manager with a reputation for expertise in the Artificial Intelligence sector. Wood manages a range of portfolios including the ARK Innovation Exchange Traded Fund (ARKK) and since its founding in 2014, Bloomberg estimates NDVA has contributed 13% of the fund’s 112% total return only behind Grayscale Bitcoin Trust, Invitae Corp and Tesla. That is all positive but Wood sold the ARKK holding in NVDA in January 2023 just before it rallied strongly adding some $560 billion to its market cap with $200 billion coming on one day after reporting earnings. Wood’s investors have basically missed the huge rally in the stock and the sector in 2023. (6) But there is another phase I would look for and that is the participation of smaller, retail investors. Whether it was in the tech cycle I discussed above, the “meme” stocks or commodity exploration and development cycles in the past, the retail investor buys in before the bull market ends. Market pundits such as Citi global asset allocation and Vanda Research make the same observation: where is the retail investor? We know the institutional investors have been getting in. So far in 2023 according to Bloomberg, the top 4% of stocks in the S&P 500 have contributed 94% of the index return and 8 of the top 20 include Apple, Microsoft, Amazon, Alphabet Class A, NVIDIA, Alphabet Class C, Tesla and Meta. In other words, the top 2% of the stocks in the S&P 500 contributed 94% of the return. Through mid-May, if the AI stocks are omitted, the S&P Index would be down -1.4% instead of up +8.3%. All of these stocks are AI leaders and each of them is an institutional stock. Yet, I believe the retail investor will come into the market and when they do, it is stocks like PMED for which they have always had an appetite. C. I think investors will get more bang for their buck by investing in a small company like Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) with a total commitment to AI. From a base market cap of $16.6 million and, as I have pointed out in recent reports, many different business verticals to get them higher, I see PMED as a unique opportunity for aggressive growth investors. It is hard to imagine any decade having more of an impact on the ensuring socio-economic decades than the 1990s. Imagine your activities today without your cellphone, Internet, email and texting. I expect the cycle driven by AI to be a long one, similar to the dot-com cycle that lasted longer than the decade of the 1990s. To the right is a chart published by Luke Lango’s Hypergrowth Investing. It shows the stock market in the 1990s and overlays current results. The parallels Lango sees include: • Federal Reserve’s tight money policy slowed economic growth in 1990 as it is doing currently. • In 1990, the markets were down around 20% and in 2022 stocks dropped around 25%. • In late 1990, the Fed started reducing interest rates and the markets rebounded. • In late 2022, the Fed has turned less hawkish and into 2023 has slowed the pace of interest rate increases. The markets have been recovering. • In the early 1990’s, the dot-com stock market rally began and the market would advance generally higher for the rest of the decade and into the new millennium. • Today, it is Artificial Intelligence that is pushing stocks higher and given my expectations for AI, it could stock prices higher until at least 2030. Conclusion: I believe Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is exceptionally well positioned to participate in the upcoming boom in Artificial Intelligence. There are many different ways to describe market cycles that evolve around such drivers. Here is mine:
|
2023.06.01 21:14 No_Win1974 How Am I supposed to get work?
2023.06.01 21:14 Temporary_Noise_4014 Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) Special Report
![]() | Predictmedix – a great way to surf the Artificial Intelligence wave. submitted by Temporary_Noise_4014 to 10xPennyStocks [link] [comments] https://preview.redd.it/1euasjh6hg3b1.png?width=741&format=png&auto=webp&s=bca3509be737c63b59eab69398f5a735d746c185 There is a saying attributed to Mark Twain that goes, “History doesn’t repeat itself, but if often rhymes.” This means circumstances might be different but similar events often recur. This is good because securities regulators demand that you make it clear that in the financial markets, “Past performance is no guarantee of future results.” However, investment analysts continue to use rhymes and here’s one that could help you see sizeable investment returns from Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF). This is how the rhyme comes together: A. The 1990s technology boom: The parallel I see is between the current Artificial Intelligence cycle and the dot-com stock market cycle of ≈1990 to ≈ 2002. As background, the 1990s either developed or laid the groundwork for changes that completely transformed the world we live in. Out of that time came many new technologies and related developments and each was highly disruptive. Here is a very brief list of some of those developments: (1) Nokia was the first mass-produced cellphone offered in 1992 with the ability to send and receive phone calls as well as store data (e.g. phone numbers). (2) The World Wide Web, a.k.a. the Web browser was proposed in 1990 and debuted in 1991. This was the start of the Internet, Websites, e-mails and a massive amount of information that would become available to everyone. (3) With the explosion of data available, finding it became a challenge. Mosaic started as the first search engine in 1993 followed by Yahoo in 1994 and Google in 1998. Today, Google has risen to the top and become synonymous with an Internet search. Google it. (4) Other important developments of that time included the growth in the capacity of microprocessors, Photoshop, texting, rechargeable lithium-ion batteries, realistic videogames for a more adult market, collecting and using DNA, the start of e-tailing and more. (5) Finally, we have the stock market. Cisco, Dell, Intel and Microsoft are sometimes referred to as the four horsemen of the 1990s tech boom. But we can’t ignore Apple and Google and there were many more that benefited. The smaller, new, Initial Public Offering companies came to the fore with incredibly high returns in the second half of the 1990s. The chart to the right shows how stock markets performed during the 1990’s high-tech boom. A few things are worth noting: (1) The Dot.Com stock market cycle lasted a long t time. Essentially, more than the decade of the 1990s. It’s length reflected the importance of the fundamental changes taking place. (2) There was an important development regarding the stock market that has become part of the stock market legend. On December 5, 1996, Federal Reserve Board Chairman Alan Greenspan in a televised speech used the term “irrational exuberance” to describe a stock market that he thought was highly speculative and overvalued. His comment was intended as a warning from the Fed that the stock market, driven by the high-tech developments described above, was overvalued. His timing was five years early which is a lifetime in the stock market. (3) The five years after Greenspan’s “irrational exuberance” statement was the most profitable for investors of the entire ten years plus of the stock market cycle. As you sit reading this brief, imagine your life without a cell phone, the Internet, e-mail and text messages. How different would your life be without just these four products that emerged from the 1990s. A more relevant question might be how different would your life be if you had purchased shares in Apple or Cisco or Dell or Google or Microsoft back then? B. The Artificial Intelligence Boom (AI): The term Artificial Intelligence was created in 1955. The idea was to have a machine that could take data, and find patterns that would enable it to make predictions and reach conclusions (make decisions). The Oxford Dictionary defines AI as “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” It was Moore’s Law in 1975 that stated the capacity of semiconductors would continue to double every two years which enabled computers to be able to put into practice the AI Boom that is taking place today. Current forecasts say the AI industry will grow to $900 billion by 2026 and $15.7 trillion by 2030. AI growth in the 1920s could dwarf anything high-tech was able to accomplish in the 1990s. (1) There is an Artificial Intelligence (AI) boom going on and many people don’t yet realize it is even happening. AI is used in: i. Self-driving and parking cars. AI is used by Audi, Mercedes-Benz, Tesla, Toyota and Volvo. ii. Maps and navigation. Enter where you are and where you want to go by car and Google Maps, for example, will give you a choice of routes, the time optimal route taking into account construction and traffic. iii. Facial detection or recognition. Facial detection identifies a human face or facial recognition that identifies a specific face that can be used for surveillance and security. iv. Digital assistants such as Amazon’s Alexa, Apple’s Siri, Google’s Now and Microsoft’s Cortana. When combined with search and recommendation AI, Alexa or Siri is able to learn your preferences and recommend things you are interested in. v. Customer service chatbots that answer frequently asked questions, track orders or direct calls. Often people will be unaware they are dealing with a machine. vi. Vehicle recognition use computer vision and deep learning to find a specific car on a surveillance video. vii. Robot vacuums can scan a living area, look for and remember objects in the way, remember the best route for cleaning the area and decide how many times it should repeat cleaning a specific area. It is estimated that by 2030, between 400 and 800 million jobs will be displaced by Artificial Intelligence and 375 million people will have to change to a totally different type of work. It is also forecast that it is not just lower-paying, blue-collar jobs that will be replaced by AI. Jobs such as accountants, lawyers, doctors, investment advisors and portfolio managers might all be substantially eliminated. AI will impact all industries and the rate of change will be exponential, that is, the rate of change will accelerate. For example, what does a doctor do? In general, a doctor gathers new information, refers to a patient’s medical history, refers to a medical book or today’s Internet, makes a diagnosis and provides s treatment. This is also what a lawyer does. AI might reach the point where it can do it faster and better than a human.. AI does present threats to human existence. As AI is changing exponentially, it will happen faster than the technology boom of the 1990s. It took technology 20 years to produce the changes we discussed above. AI could produce equivalent changes in 10 or 15 years. For example, ChatGPT, an AI product went from zero to 100 million users within months making it the fastest-growing consumer software product in history. There will be others. (2) The AI shift could drive economic change and a stock market cycle at least as significant as the last “dot.com” cycle. The “go-to” companies today for participation in AI are the likes of Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA) and Oracle (NYSE: ORCL). These are very large companies. GOOGL has a market cap of $1.6 trillion, AMZN has a market cap of $1.2 trillion, META has a market cap of $$648 billion, MSFT has a market cap of $2.4 trillion, NCDA has a market cap of $963 billion and ORCL has a market cap of $282 billion. (3) While these are excellent businesses, they are also amongst the world’s largest companies. In 2022, GOOGL, META and MSFT purchased 2 out of every 3 AI chips. In my opinion, it is almost unthinkable that GOOGL can be a ten-bagger from a base market cap of $1.6 trillion or AMZN from $1.2 trillion. But it is clear these stocks now have a major component of their value derived from involvement in Artificial Intelligence and it is not surprising that early adopters would choose a lower risk/lower return approach to gain exposure to an emerging Artificial Intelligence industry. (4) The changes created by AI also carry some risks. The speed of change will be challenging to human beings. There are forecasts that say one in four workers globally will see their jobs disappear and one in eight workers will have to be retrained in a totally unrelated field. During the industrial revolution and the tech boom, there was always the promise of more and better jobs. With AI we may have reached the point where machines actually do replace workers. (5) Cathie Wood is a well-known and widely followed money manager with a reputation for expertise in the Artificial Intelligence sector. Wood manages a range of portfolios including the ARK Innovation Exchange Traded Fund (ARKK) and since its founding in 2014, Bloomberg estimates NDVA has contributed 13% of the fund’s 112% total return only behind Grayscale Bitcoin Trust, Invitae Corp and Tesla. That is all positive but Wood sold the ARKK holding in NVDA in January 2023 just before it rallied strongly adding some $560 billion to its market cap with $200 billion coming on one day after reporting earnings. Wood’s investors have basically missed the huge rally in the stock and the sector in 2023. (6) But there is another phase I would look for and that is the participation of smaller, retail investors. Whether it was in the tech cycle I discussed above, the “meme” stocks or commodity exploration and development cycles in the past, the retail investor buys in before the bull market ends. Market pundits such as Citi global asset allocation and Vanda Research make the same observation: where is the retail investor? We know the institutional investors have been getting in. So far in 2023 according to Bloomberg, the top 4% of stocks in the S&P 500 have contributed 94% of the index return and 8 of the top 20 include Apple, Microsoft, Amazon, Alphabet Class A, NVIDIA, Alphabet Class C, Tesla and Meta. In other words, the top 2% of the stocks in the S&P 500 contributed 94% of the return. Through mid-May, if the AI stocks are omitted, the S&P Index would be down -1.4% instead of up +8.3%. All of these stocks are AI leaders and each of them is an institutional stock. Yet, I believe the retail investor will come into the market and when they do, it is stocks like PMED for which they have always had an appetite. C. I think investors will get more bang for their buck by investing in a small company like Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) with a total commitment to AI. From a base market cap of $16.6 million and, as I have pointed out in recent reports, many different business verticals to get them higher, I see PMED as a unique opportunity for aggressive growth investors. It is hard to imagine any decade having more of an impact on the ensuring socio-economic decades than the 1990s. Imagine your activities today without your cellphone, Internet, email and texting. I expect the cycle driven by AI to be a long one, similar to the dot-com cycle that lasted longer than the decade of the 1990s. To the right is a chart published by Luke Lango’s Hypergrowth Investing. It shows the stock market in the 1990s and overlays current results. The parallels Lango sees include: • Federal Reserve’s tight money policy slowed economic growth in 1990 as it is doing currently. • In 1990, the markets were down around 20% and in 2022 stocks dropped around 25%. • In late 1990, the Fed started reducing interest rates and the markets rebounded. • In late 2022, the Fed has turned less hawkish and into 2023 has slowed the pace of interest rate increases. The markets have been recovering. • In the early 1990’s, the dot-com stock market rally began and the market would advance generally higher for the rest of the decade and into the new millennium. • Today, it is Artificial Intelligence that is pushing stocks higher and given my expectations for AI, it could stock prices higher until at least 2030. Conclusion: I believe Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is exceptionally well positioned to participate in the upcoming boom in Artificial Intelligence. There are many different ways to describe market cycles that evolve around such drivers. Here is mine:
|
2023.06.01 21:11 Barrylapthorne RTSP cameras ‘no response’
2023.06.01 21:02 AutoModerator [I HAVE] Iman Gadzhi Agency Navigator FULL updated course And 3,000+ MORE FREE courses
![]() | submitted by AutoModerator to NewSMMA2023 [link] [comments] https://preview.redd.it/xbbmvwk05y2b1.jpg?width=1280&format=pjpg&auto=webp&s=116c1a4c80219604524cc4a321c8086cdb93a5a7 if ANYONE is interested send me a message on Fiverr ==> https://bazarcom.org/Biahezacourse NEW COURSES (Included when buying my whole collection!): · ⭐Iman Gadzhi – Agency Navigator 2023 · ⭐Sam Ovens - Consulting Accelerator 2023 · ⭐Cole Gordon – 30 Day Closer · ⭐Montell Gordon - Agency Transmulation · ⭐Charlie Morgan - Easygrow Course · ⭐Sebastian Esqueda - Ecom Revolution · ⭐Biaheza Droppshiping Course 2023 · Andrew Tate – Courses Bundle · Charlie Morgan - Imperium Agency · Charlie Morgan - Gym Growth Accelerator · Biaheza - Full Dropshipping Course 2023 · Jordan Welch - The Reveal 2023 · Savannah Sanchez - TikTok Ads Course 2023 · Iman Gadzhi - Copy Paste Agency · Sam Ovens - UpLevel Consulting · Miles – The FBA Roadmap + The Profit Vault · Andrew Giorgi – Amazon Dropshipping Course · Sebastian Esqueda – Ecom Revolution Training Program · Luca Netz – Advanced Dropshipping 2023 · Kevin King – Freedom Ticket 3.0 · Jordan Platten – LearnAds – Facebook Ads Pro 2023 · Miles – The FBA Roadmap + The Profit Vault · Dan Vas – Ecom Freedom Shopify Blueprint 2023 · Alexander J.A Cortes - WiFi Money Machine · Kody Knows - Native Mastery · Bastiaan Slot - Six Figure Consulting · Kaibax - Centurion agency · Joe Robert - Print On Demand Accelerator · Ryan Hogue - Ryan's Method Dropshipped POD · Kevin Zhang - Ecommerce Millionaire Mastery · Ryan Lee – 48 Hour Continuity · [METHOD] ⚡️TikTok Algorithm Domination Skyrocket your engagement TODAY Updated 2023✨ · Troy Ericson – Email List Management Certification · Larry Goins – Filthy Riches Home Study Course · Ry Schwartz – Automated Intimacy · Patrick Bet-David – All Access Bundle · Andrea Unger – Master the Code & Go LIVE · Jon Benson – 10 Minute Sales Letter · Alen Sultanic – Automatic Clients & Bonuses · Taylor Welch – Cashflow for Consultants · Akeem Reed – Slingshot Rental Blueprint · The Futur Greg Gunn – Illustration for Designers · Trading180 – Supply And Demand Zone Trading Course · Jim McKelvey (Foundr) – How To Build An Unbeatable Business · Master of AI Copy – Copy School by Copyhackers · Copyhackers – Copy School 2023 · Matei – Gann Master Forex Course · YOYAO Hsueh – Topical Maps Unlocked · Tyler McMurray – Facts Verse Youtube Automation Course · Ashton Shanks – 7 Day Copywriting Challenge Featuring ChatGPT · Rene Lacad – Rockstar Marketing Blueprint · Top Trade Tools – Hedge Fund Trender · Brandi Mowles – Conversion For Clients · Glen Allsopp – SEO Blueprint 2 (DETAILED) · Trading Busters – Prop Trading Formula Course · Sam Woods – The AI Copywriting Workshop (Complete Edition) · Brian Anderson – Recovery Profit System · LOW COMPETITION KEYWORDS IN MINUTES ⚡ 70+ REVIEWS ✅ BONUS PDF WORTH $200+ · Devon Brown – Easiest System Ever · Duston McGroarty – St. Patrick’s Day 2023 Live Event · Dan Wardrope – Click & Deploy Sales Android · Lost Boys Academy – How To Make Life Changing Money With OnlyFans! · WealthFRX Trading Mastery Course 2.0 · TOM & HARRY – Digital Culture Academy · 100+ Cold Email Templates · [METHOD] ✅ Make Real Cash with Auto Blogging ⛔Get $1199 Worth of Resources ❌ CUSTOMIZED SECRET PROCESS⚡DONE FOR YOU SITE ⭐ Unlimited Niche Opportunity & So on · Tobias Dahlberg – Brand Mastery · Raul Gonzalez – Day Trading Institution 2.0 · Rasmus & Christian Mikkelsen –Impact Academy 2023 · [METHOD] ☢️ The Quick eBay Money Loophole Guide ☢️ · Apteros Trading – March 2023 Intensive · Rob Lennon – Zero to 10k Twitter Accelerator · Rob Lennon – Next-Level Prompt Engineering with AI · Rasmus & Christian Mikkelsen – NEW Audiobook Income Academy Download · Grow and Convert – Customers From Content · Charles Miller – The Writersonal Branding Playbook · Kaye Putnam – Convert with a Quiz · Forex Mentor – London Close Trade 2.0 · Chase Reiner – Fortune Bots Update 1 · Andrew Ethan Zeng – Social Marketing Mastery · [Method] Upload FULL, 100% Unedited Copyrighted Videos on Youtube! Content ID DESTROYER! · Digital Daily – Top 150 ChatGPT Prompts to Make your Life Easy · Patek Fynnip – Psychology Course · Thomas Frank – Creator’s Companion (Ultimate Brain Edition) · [METHOD] ⚡ See the MAGIC of Bulk Posting ✨ Untapped Method ✅ [ BONUS ChatGpt and Affiliate list Pdf]✅ · ⭕️ YouTube Content Machine – Unlimited FREE traffic for CPA – Fully Automated Method ⭕️ · Jakob Greenfeld – Scraping The Web For Fun and Profit · Adrian Twarog – OpenAI Template Starter Kit for ChatGPT / GPT3 · The Secret Merchants List of Over 2000+ Dropshippers and Amazon FBA Suppliers Based in The US · Top Trade Tools – Top Swing Trader Pro · Charlie Houpert – Charisma University 2023 · ▶️ [METHOD + GUIDE] ✅ Make Money ✅ with Kindle Books ⚠️ Even if You Can’t Write ⚠️ [STEP-BY-STEP] ⚡ NO INVESTMENT REQUIRED! ⚡ · Charlie Morgan – Easy Grow · Nina Clapperton – Jasper AI Course for Bloggers · Travis Stephenson – Simple Profit System · Manny Khoshbin – Real Estate Starter Program · Tanner Henkel & Jerrod Harlan – 7-Figure Email Machine · [METHOD] Stop Wasting Money on AI Writers Train And Fine-Tune Your Own AI For Free With No Code ⚡⚡⚡Real Method & Practice Examples ⚡⚡ · Creator Hooks – YouTube Title Mastery · Thomas Frank – Creator’s Companion (Ultimate Brain Edition) · Sean Dollwet – Royalty Hero · Jason Bell – Birthday Marketing Formula · NXT Level FX – Investors Domain · [METHOD] ⏩ My ETSY $40K~ Passive Income 2023 + HOT Products (Earning Proof) ⏪ Make Money No Marketing Easy $40K~ Guide FOR NOOBS ✅ · Rob Jones & Gerry Cramer – Profit Singularity Ultra Edition 2022 (AI & ChatGPT) · Cody Wittick & Taylor Lagace – The Influencer Marketing Blueprint · ⚡️➡️$390/Week BLUEPRINT+PROOF✅Scalable Method❤️Amazon to eBay Dropship✅ · Kody Ashmore – Simpler Trading – Drama Free Day Trades ELITE · Youri van Hofwegen – YouTube Search Automation · Montell Gordon – Agency Transmutation · Csaba Borzasi – Breakthrough Conversions Academy · Tim Denning – Twitter Badassery · Geoff Cudd – AI Writing Course for Bloggers & Digital Marketers · RED CPA FORMULA – UNTAPPED UNDERGROUND CPA SYSTEM · BowtiedCocoon – Zero to $100k: Landing Any Tech Sales Role · Holly Starks – Make LINK BUILDING Great Again! · Mike Warren – Deeds4Cash · BITCOIN BRITS – The Crypto Course · Max Gilles – ⚡️☄️ UHQ Leak ❤️CPA JACKER – Epic CPA Blueprint✅⚡️ · Aidan Booth & Steve Clayton – 123 Profit Update 9 · Christina Galbato – The Influencer Bootcamp · John Thornhill – Ambassador Program · [Sales] 999+ Ultimate ChatGPT Prompts To Copy & Paste (250+ tasks) · Pollinate Trading – Curvy Trading System · Content Mavericks – The Greatest Hits Content System · Andriy Boychuk – Flowium – Klaviyo Mastery 2.0 · Dagobert Renouf – How To Dominate Twitter (Advanced Growth Bundle) · Darius Lukas – ⭐ The Marketer’s Bible to ChatGPT ✅ 1000+ ChatGPT Prompts to Copy, Paste & Scale · Billy Gene – 5 Day A.I. Crash Course for Marketers · Alex Cattoni – Posse Eye Brand Voice Challenge Program · Casey Zander – YouTube Fame Game Blueprint · Harlan Kilstein – Midjourney Mastery · Shawna Newman – YouTube for Niche Sites · [Marketing] 1099+ Ultimate ChatGPT Marketing Prompts To Copy & Paste (200+ tasks) · Karen Foo – Star Traders Forex Intermediate Course · TheMacLyf – Hive Mind & Masterclass (Onlyfans Course) · Brittany Lewis – Top Seller Secret · Dan Henry – Facebook Ads for Entrepreneur · Russ Horn – Ultra Blue Forex · Scott Phillips – Crypto Salary System · Roland Frasier – AI Powered Expert Apprentice + Update 1 · Roger & Barry – Give Academy 1k/Day Platinum Mastermind [COMPLETE with LATEST UPDATE] · Bretty Curry (Smart Marketer) – Smart Amazon Ecommerce · Steven Dux – Traders Edge 2023 · Aidan Booth & Steve Clayton – 123 Profit · Allie Bjerk – Tiny Offer Lab · Dicke Bush – Generate 10x More Content Using AI · Mateusz Rutkowski – New Money Blueprint · Smart Raja Concepts (SRC) – Forex 101 · Chase Reiner – Short Form Riches Bootcamp 2023 – AI ChatGPT Bot Update 3 · Chase Reiner – AI Profits · Travis Sago – Cold Outreach & Prospecting AMA Offer (Best Value with All Bonuses) · Live Traders – Professional Trading Strategies · Allan Dib – The 1-Page Marketing Plan Course · Dan Koe – Digital Economics Masters Degree · The Trading Guide – The Gold Box Strategy · The Complete XAUUSD GOLD Forex Scalping System On Real Trading Account if ANYONE is interested send me a message on Fiverr ==> https://bazarcom.org/Biahezacourse |
2023.06.01 21:01 PurpleSolitudes Best Internet Monitoring Software
![]() | SentryPC is a powerful internet monitoring software that allows parents, employers and individuals to monitor and control computer and internet usage. With its advanced features and user-friendly interface, SentryPC has become the preferred choice for those who need to keep an eye on computer and internet activity. submitted by PurpleSolitudes to allinsolution [link] [comments] In this review, we will take a closer look at what makes SentryPC the best internet monitoring software and why it has become so popular among users.https://preview.redd.it/folhnlmz7i1b1.png?width=850&format=png&auto=webp&s=a9f49ebf3694e0477b120d7029c0393d5a9abb22 FeaturesThe first thing that sets SentryPC apart from other internet monitoring software is its comprehensive set of features. Whether you are a parent looking to protect your children from online predators or an employer concerned about productivity, SentryPC has everything you need to monitor and control computer and internet usage.Free Demo Account AvailableSome of the key features of SentryPC include:
Ease of Usehttps://preview.redd.it/fmwjj2py7i1b1.png?width=850&format=png&auto=webp&s=d4b04ac11b376d94d7bcde87d976729ef36e8230 Another key factor that makes SentryPC the best internet monitoring software is its user-friendly interface. Even if you are not technically savvy, you can easily install and use SentryPC to monitor and control computer and internet usage. The software is easy to download and install, and once installed, it runs quietly in the background, capturing data without interfering with computer performance. The dashboard is intuitive and easy to use, allowing users to quickly access reports, alerts and other monitoring tools. SentryPC also offers a mobile app, which allows parents and employers to monitor computer and internet activity on the go. The app is available for both iOS and Android devices and provides real-time access to all monitoring features. Free Demo Account AvailableCustomer SupportSentryPC is committed to providing excellent customer support. Their team of support technicians is available 24/7 to answer questions and provide assistance with installation and troubleshooting.In addition to email and phone support, SentryPC also offers live chat support, allowing users to get answers to their questions in real-time. They also offer a comprehensive knowledge base, which includes articles, tutorials, and videos to help users get the most out of the software. PricingSentryPC offers flexible pricing plans to meet the needs of different users. The plans range from $59.95 per year for a single license to $995 for 100 licenses.The basic plan provides all the essential monitoring features, while the premium plan includes advanced features such as webcam capture and audio recording. Users can also customize their plans by adding additional licenses or upgrading to the premium plan at any time. ConclusionOverall, SentryPC is the best internet monitoring software on the market today. Its comprehensive set of features, user-friendly interface, and excellent customer support make it an ideal choice for parents, employers, and individuals who need to monitor and control computer and internet usage.With SentryPC, users can rest assured that they have the tools they need to keep their children safe online, enhance productivity in the workplace, and protect sensitive information from cyber threats. Free Demo Account Available |
2023.06.01 21:00 DiscoverDurham Things to Do in Durham this Weekend (Jun 1-4)
2023.06.01 20:56 lukethedank13 Awakening 35.3 You aint going anywhere.
2023.06.01 20:56 ginanita No not Danny! the dark side took him away from us
![]() | submitted by ginanita to DannyGonzalez [link] [comments] |