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GPT-3

LayerAI (LAI)LayerAI, formerly known as CryptoGPT (GPT), is a zero-knowledge roll-up Layer-2 blockchain which powers the AI platform that lets you monetize your AI data. That is, LayerAI is the first sustainable ‘to earn’ ecosystem that pays users for contributing data that is then sold in the global data marketplace. Anyway, LAI seems to shown potential for growth in its chart. First, moving in a somewhat sideways channel, then broke the channel and went up as high as the width of the channel. Now, resting in a what to seem to be a triangle/flag pattern. If LAI keeps up with its own movement behavior, something like this could unfold. Let's see what happens.
Long
by SaeedSalehinia
4
Match Group (MTCH) About to Take OffI generally don't look at 3M charts, nor do I ever have this many indicators on my charts... BUT they're all aligning - pair that up with an OpenAI partnership and there's no where but up from here. Match Group is the company behind Tinder, Match, Hinge and a total of 40ish relationship apps - I'll breakdown my theory as simple as possible... I can realistically see a 10x+ out of this. AI = Job Cuts = More OF Girls = Bigger Female Egos = Desperate Guys = Pay-to-Date Then, eventually, the lines between a female and AI will blur...but we have time on that.
NASDAQ:MTCHLong
by brettjessen
GPT, buy a cheap ticket maybe its worth it in the end...First, this is a very volatile coin and I don't recommend allotting significant $ on this -- for "certainty" issues because the developers seem to be shifting to a new coin / project soon, and a lot are still asking if there will be a carryover of this legacy coin to the new project at hand which has yet to be answered. But if good news come, then your seed will grow a tree -- and hopefully produce some bounty. That's IF. So trading this one with a negligible spare change looks tempting. The RR ratio looks beyond attractive. Weekly shift is beginning to surface and a prospect of massive ascend can't be dismissed. *Again if you're going to trade this -- do it with disposable $. Spotted at 0.00660 TAYOR. Safeguard funds always.
GLong
by JSAL
GPT, Long term SHIFT spotted -- MASSIVE upside prospect!GPT price surged significantly this past few days -- a result of technical positioning and new project developments for the coin. On weekly data, GPT registered massive net buying. Weekly histogram shift has been recorded -- conveying the current price range as the new base for the incoming series of ascend. Price shift has also aligned with histogram with significant upside volatility. Bubble up volume (bottom indicator) finally appeared after 3 months of waiting, last one was on March 2023. Expect more upside price valuation from the current levels. Spotted at 0.01800 TAYOR Safeguard capital always.
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by JSAL
A GPTUSDT SCALP!BYBIT:GPTUSDT.P I absolutely love seeing candles, pressure, and shapes like this... to me (NOT CERTAIN) this is a nice crater on the lower timeframe to start a brand-new bottom. Now! I obviously done my research heavily! I had tons of other ideas to pick from but today this chart is most clean on that 15M timeframe. so, I picked this up off of a reaction of a higher timeframe and to me this reaction is exactly what I look for in a trade look it may not pick me up but at least im prepared and ready to move on ALREADY. Thanks guys.
G
by fusfamily
GPT Prompted by my BTC Analysis Bitcoin Rollercoaster Ride! Model: Plugins • Enabled plugins: WebPilot logo Link Reader logo Wolfram logo User Write a fun and entertaining Tradingview post updating the price of BTCUSD. Keep it captivating yet concise. Search through bitbo.io to include valuable information marking the stats of BTC after it exits this epoch / 4 year cycle's where we are at the point where less than one year before the halving we have crossed the point where we've lasted over a year trending down November 2021 at 69K to November 2022 at ~15,475 buckaroos in exchange for 100,000,000 satoshis (1.00000000 BTC) The typical bear market year. Not unlike December '17 to Dec '18 But this time we not only breached below the 200 week moving average, we've done so 6 months earlier in the cycle (June 2022, perhaps the "stablecoin" and usual shitcoinery played a roll in addition to the Fed tightening, rising interest rate fueled liquidity crunch - also not unlike Dec 2018 fed induced taper tantrum) So about moving averages, yes the 200 week moving average was at ~22.5K in June 2022 and it continued consolidating/distributing lower until it bottomed 5 months later where BTCUSD even crossed below the 300 week moving average and stayed there below the 300MA (priced ranged between ~$15,700-$18,300) until it popped in 2nd week of Jamuary this year 2023, marking the end of the decline and bottom behind us. And yes, we also crushed through the 21Week/20Wk EMA/SMA AND the 200 day MA All within that same week in January. Then we rose, consolidated and rose, until we established the 200 week as supposed at ~$26,500 on 2nd week of June. So,, where does that leave us? Well we have the 32,500 as 100 week SMA and traders/analysts calling for a high of 34,000-$35,000. Look, do I recommend you buy bitcoin hand over fist until a few months after the spring 2024 halving and then sit pretty to sell Q4 2025? No, in can't do that. But I mean, what do you think? Personally I expect downward chop, then a mix of sideways or upswing and chops until maybe the end of 2023 or beginning of 2024. But I'm buying BTC under 26,000 if I can help it. I'll buy it at 10K or 30K so, don't take my advice. I also give it away at a loss, so DEF don't take my advice Lololol ChatGPT Used WebPilot 🚀 Bitcoin Price Update: The Rollercoaster Continues! 🎢 Greetings, crypto enthusiasts! 🎩 As we navigate through the thrilling world of Bitcoin, we find ourselves at a pivotal point in the BTCUSD journey. Today, Bitcoin is trading at around $30,451.82, a slight increase of 0.87% from the previous day. We've seen a 24-hour high of $31,030.52 and a low of $30,050.00. The 24-hour trading volume stands at a whopping 146,967 BTC, equivalent to $4.48 billion. Remember the golden days of November 2021 when BTCUSD was at a staggering 69K? Well, fast forward to November 2022, and we found ourselves at a more humble ~$15,475. The typical bear market year, indeed. But here's the kicker: we didn't just breach the 200-week moving average, we did it 6 months earlier in the cycle (June 2022). Could the "stablecoin" and usual "shitcoinery" have played a role? Or perhaps the Fed tightening and rising interest rate fueled liquidity crunch? Who knows! 🤷‍♂️ Fast forward to January 2023, and we saw BTCUSD cross below the 300-week moving average. But as they say, it's always darkest before the dawn. The decline ended, and the bottom was left behind us. We rose, consolidated, and rose again, establishing the 200-week support at ~$26,500 in the second week of June. So, where are we now? Analysts are calling for a high of $34,000-$35,000. But as we all know, the world of Bitcoin is as unpredictable as it is exciting. Do I recommend buying Bitcoin hand over fist until a few months after the spring 2024 halving and then selling in Q4 2025? No, I can't do that. But I'm buying BTC under 26,000 if I can help it. I'll buy it at 10K or 30K, so don't take my advice. And remember, I also give it away at a loss, so DEF don't take my advice! 😂 Stay tuned for more updates, and remember: in the world of Bitcoin, the only constant is change! 🌍 Happy trading! 💰 User Make it less corny. More edgy and more facts. Make sure to include each data point I gave you and as much as you can from the bitbo link. ChatGPT Bitcoin Price Update: The Brutal Reality Bitcoin is currently trading at $30,451.82, a marginal increase of 0.87% from the previous day. The 24-hour trading volume is a substantial 146,967 BTC, equivalent to $4.48 billion. Let's rewind to November 2021, when Bitcoin was trading at a staggering 69K. Fast forward to November 2022, and we were down to ~$15,475. A typical bear market year, indeed. In June 2022, we breached the 200-week moving average, six months earlier in the cycle. This could be attributed to various factors, including the rise of stablecoins and the Fed tightening, leading to a liquidity crunch. By January 2023, Bitcoin had crossed below the 300-week moving average. The decline ended, and we started to see a rise, consolidating and establishing the 200-week support at ~$26,500 in the second week of June. Now, analysts are calling for a high of $34,000-$35,000. But as we all know, Bitcoin is as unpredictable as it is volatile. Do I recommend buying Bitcoin hand over fist until a few months after the spring 2024 halving and then selling in Q4 2025? No, I can't do that. But I'm buying BTC under 26,000 if I can help it. I'll buy it at 10K or 30K, so don't take my advice. And remember, I also give it away at a loss, so definitely don't take my advice! Stay tuned for more updates, and remember: in the world of Bitcoin, the only constant is change. Happy trading!
INDEX:BTCUSD
by Palestinian_Bitcoiner
1
Will AI workloads consume all the world’s energy?On big questions like this, almost nothing stays constant. When we consider a new technology: We cannot assume that rates of adoption or usage will remain constant—they may drop, they may even grow. We cannot assume that the technology supplying our energy needs will remain constant—there could be breakthroughs in efficiency or changes in the overall energy mix. We cannot assume that the efficiency of the specific technology being adopted will remain constant—we have seen numerous examples of areas where an initial version of something in technology or software faces subsequent improvements that may give it greater capabilities with lower energy usage. We must also recognise that artificial intelligence (AI) itself could suggest improvements in energy efficiency for specific applications—like the heating and cooling of a building. Therefore, any analysis of energy usage and AI must recognise that the one constant will be change. Environmental impact of select large language models (LLMs) LLMs have been garnering the lion’s share of attention amidst the current excitement around generative AI. It makes sense to consider the amount of carbon emissions generated by some of these systems. The Stanford AI Index Report, published in 2023, provided some data, noting that factors like the number of parameters in a model, the power usage effectiveness1 of a data centre, and the grid carbon intensity all matter. Considering power consumption of an LLM Those building different LLMs have many levers they can pull in order to influence different characteristics, like energy consumption. Google researchers proposed a family of language models named GLaM (Generalist Language Model), which uses a ‘sparsely activated mixture of experts’. While a full discussion of how that type of approach works is beyond the scope of this piece, we note that the largest of the GLaM models has 1.2 trillion parameters. Knowing solely that data point, the assumption would be that this model would consume more energy than any of the models. In reality, the GLaM model with 1.2 trillion parameters consumes only one-third of the energy required to train GPT-3 and requires only half of the computation flops for inference operations. A simple way to think of what is going on is that, while the total model has 1.2 trillion parameters, a given input token into the GLaM model is only activating a maximum of 95 billion parameters, that is, the entire model isn’t active across all the parameters. GPT-3, on the other hand, activated all 175 billion parameters on each input token3. It is notable that, even if measuring the performance of AI models occurs on many dimensions, by many measures the GLaM model is able to outperform GPT-3 as well4. Conclusion The bottom line is that model design matters, and if model designers want to denote ways to maintain performance but use less energy, they have many options. Sources 1 Power usage effectiveness (PUE) is useful in evaluating the energy efficiency of data centres in a standard way. PUE = (total amount of energy used by a computer data centre facility) / (energy delivered to computer equipment). A higher PUE means that the data centre is less efficient. 2 Source: Du et al. “GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.” ARXIV.org. 1 August 2022. 3 Source: Patterson, David; Gonzalez, Joseph; Hölzle, Urs; Le, Quoc Hung; Liang, Chen; Munguia, Lluis-Miquel; et al. (2022): The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. TechRxiv. 4 Source: Du et al, 1 August 2022.
Editors' picks
SPARKS:AIX
by aneekaguptaWTE
9
Adobe key positioning for the future of A.I made graphics.TA: Looking at interest levels and daily RSI, taking a long here is sub-optimal and has risk of drawdown. However, fundamentals back upwards momentum. Buy and Hold strategy here might be wise. Pivot line may yield a double top (A.I boom -> Burst) or could initiate further upwards momentum to new ATH's in which case TP2 and TP3 are the interest levels. Fundamentals: Adobe is a global leader in software, known for its Creative Cloud suite, which includes industry-standard applications like Photoshop, Illustrator, and Premiere Pro. The company has made significant strides in integrating advanced AI technologies into its products and services, which has contributed to its impressive financial performance. A significant recent innovation is the integration of Generative AI and Adobe Firefly into Photoshop, marking a new chapter in Adobe's history. This innovation allows creators to use their natural language to prompt Photoshop to create extraordinary images with Generative Fill, a feature powered by Adobe's Firefly, a family of creative generative AI models​2​. Adobe is also committed to ensuring its AI technology is developed ethically, focusing on accountability, responsibility, and transparency. They are developing a compensation model for Adobe Stock contributors and are taking steps to prevent artists’ names from being used in Adobe’s generative AI actions​2​. In terms of their competitive advantage, Adobe's significant graphics dataset is instrumental. Adobe Stock, for instance, has a landmark dataset containing more than two million assets. Adobe has leveraged this immense dataset to train its AI technology, Adobe Sensei, to effectively detect landmarks in images submitted to Adobe Stock. This capability has been crucial for identifying and categorizing images and addressing any potential intellectual property issues with them​3​. The integration of AI in Adobe Photoshop is demonstrated by the Generative Fill feature, which is powered by Adobe Firefly. Firefly is a family of creative generative AI models that are infused into every selection feature in Photoshop, and allows users to add content, remove or replace parts of an image and extend the edges of an image using natural language prompts. Adobe Firefly, which launched six weeks prior to the announcement I found, had quickly become one of the most successful beta launches in Adobe's history, with beta users generating over 100 million assets to date​1​. For Adobe Stock, the company uses Adobe Sensei, their artificial intelligence and machine learning technology, to detect landmarks in the hundreds of thousands of images submitted by Stock contributors every week. This helps in categorizing images and identifying any potential intellectual property issues. Adobe's landmark dataset contains more than two million assets and the process of training the model to detect landmarks initially took around 7-8 days on a single-GPU machine. By switching to a multi-GPU machine and employing parallel computing, they managed to reduce the training time by 80%, bringing it down to 1-2 days without any impact on model accuracy​2​. Adobe has further enhanced the value of its graphics dataset by adopting advanced machine learning techniques. To improve the efficiency of their AI training processes, they've transitioned from a single-GPU machine to a parallel computing approach with multi-GPU machines, resulting in a dramatic 80% reduction in training time without sacrificing model accuracy​3​. Adobe's significant graphics dataset and its innovative application of AI technologies, as demonstrated in the integration of Generative AI and Adobe Firefly into Photoshop, contribute to its competitive advantage in the industry. Please note that this is a preliminary research paper and you should continue to do your own research (DYOR). Information about assets can change rapidly, and it's essential to stay updated with the most recent developments. Notes on how I personally use my charts/NFA: Each level L1-L3 and TP1-TP3 (Or S1-S3) has a deployment percentage. The idea is to flag these levels so I can buy 11% at L1 , 28% at L2 and if L3 deploy 61% of assigned dry powder. The same in reverse goes for TP. TP1: 61%, TP2:28% and TP3:11%. If chart pivots between TP's, in-between or in Between Sell levels these percentages are still respected. I like to use the trading range to accumulate by using this tactic. Just my personal way of using this. This is not intended or made to constitute any financial advice. This is not intended or made to constitute any financial advice. FED Macro Situation Consideration: All TP's are drawn within the context of a return to FED neutral policy. I do not expect these levels to be reached before tightening is over. NOT INVESTMENT ADVICE I am not a financial advisor. The Content in this TradingView Idea is for informational purposes only, you should not construe any such information or other material as legal, tax, investment, financial, or other advice. Nothing contained within this idea constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or other financial instruments in this or in in any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction. All Content on this idea post is information of a general nature and does not address the circumstances of any particular individual or entity. Nothing in the idea/post constitutes professional and/or financial advice, nor does any information on the idea/post constitute a comprehensive or complete statement of the matters discussed or the law relating thereto. You alone assume the sole responsibility of evaluating the merits and risks associated with the use of any information or other Content on the idea/post before making any decisions based on such information.
NASDAQ:ADBELong
by TheBitcoinGeneration
CryptoGPT | GPTCryptoGPT raises funds at a FWB:250 million token valuation GPT price today is $0.074 USD with a 24hour trading volume of 14 million dollar. CryptoGPT is up 12% in the last 24 hours CryptoGPT announced raising HKEX:10 million from DWF Labs at a FWB:250 million token valuation but only HKEX:420 ,000 of the total amount has thus far been invested by DWF Labs, CryptoGPT co-founder and CTO Dejan Erja. CryptoGPT, a zero-knowledge layer 2 blockchain network attempting to leverage the success of artificial intelligence. The GPT token was launched last month and its current fully diluted valuation stands at around FWB:210 million, lower than what DWF invested after making almost 3X since listing and a correction it tries to hit 0.079, 0.085, 0.089 and 0.093$ targets
GLong
by moonypto