The environmental impact of AI: a case studyIn our previous blog, Will AI workloads consume all the world’s energy?, we looked at the relationship between increasing processing power and an increase in energy demand, and what this means for artificial intelligence (AI) from an environmental standpoint. In this latest blog, we aim to further illuminate this discussion with a case study of the world’s biggest large language model (LLM), BLOOM.
Case study on environmental impact: BLOOM
An accurate estimate of the environmental impact of an LLM being run is far from a simple exercise. One must understand, first, that there is a general ‘model life cycle.’ Broadly, the model life cycle could be thought of as three phases1:
Inference: This is the phase when a given model is said to be ‘up-and-running.’ If one is thinking of Google’s machine translation system, for example, inference is happening when the system is providing translations for users. The energy usage for any single request is small, but if the overall system is processing 100 billion words per day, the overall energy usage could still be quite large.
Training: This is the phase when the parameters of a model have been set and the system is exposed to data from which it is able to learn such that outputs in the inference phase are judged to be ‘accurate’. There are cases where the greenhouse gas emissions impact for training large, cutting-edge models can be comparable to the lifetime emissions of a car.
Model development: This is the phase when developers and researchers are seeking to build the model and will tend to experiment with all sorts of different options. It is easier to measure the impact of training a finished model that becomes public, as opposed to seeking to measure the impact of the research and development process, which might have included many different paths prior to getting to the finished model that the public actually sees.
Therefore, the BLOOM case study focuses on the impact from training the model.
BLOOM is trained on 1.6 terabytes of data in 46 natural languages and 13 programming languages.
Note, at the time of the study, Nvidia did not disclose the carbon intensity of this specific chip, so the researchers needed to compile data from a close approximate equivalent setup. It’s an important detail to keep in mind, in that an accurate depiction of the carbon impact of training a single model requires a lot of information and, if certain data along the way is not disclosed, there must be more and more estimates and approximations (which will impact the final data).
If AI workloads are always increasing, does that mean carbon emissions are also always increasing2?
Considering all data centres, data transmission networks, and connected devices, it is estimated that there were about 700 million tonnes of carbon dioxide equivalent in 2020, roughly 1.4% of global emissions. About two-thirds of the emissions came from operational energy use. Even if 1.4% is not yet a significant number relative to the world’s total, growth in this area can be fast.
Currently, it is not possible to know exactly how much of this 700 million tonne total comes directly from AI and machine learning. One possible assumption to make, to come to a figure, is that AI and machine learning workloads were occurring almost entirely in hyperscale data centres. These specific data centres contributed roughly 0.1% to 0.2% of greenhouse gas emissions.
Some of the world’s largest firms directly disclose certain statistics to show that they are environmentally conscious. Meta Platforms represents a case in point. If we consider its specific activities:
Overall data centre energy use was increasing 40% per year from 2016.
Overall training activity in machine learning was growing roughly 150% per year.
Overall inference activity was growing 105% per year.
But Meta Platforms’ overall greenhouse gas emissions footprint was down 90% from 2016 due to its renewable energy purchases.
The bottom line is, if companies just increased their compute usage to develop, train and run models—increasing these activities all the time—then it would make sense to surmise that their greenhouse gas emissions would always be rising. However, the world’s biggest companies want to be seen as ‘environmentally conscious’, and they frequently buy renewable energy and even carbon credits. This makes the total picture less clear; whilst there is more AI and it may be more energy intensive in certain respects, if more and more of the energy is coming from renewable sources, then the environmental impact may not increase at anywhere near the same rate.
Conclusion—a fruitful area for ongoing analysis
One of the interesting areas for future analysis will be to gauge the impact of internet search with generative AI versus the current, more standard search process. There are estimates that the carbon footprint of generative AI search could be four or five times higher, but looking solely at this one datapoint could be misleading. For instance, if generative AI search actually saves time or reduces the overall number of searches, in the long run, more efficient generative AI search may help the picture more than it hurts3.
Just as we are currently learning how and where generative AI will help businesses, we are constantly learning more about the environmental impacts.
Sources
1 Source: Kaack et al. “Aligning artificial intelligence with climate change mitigation.” Nature Climate Change. Volume 12, June 2022.
2 Source: Kaack et al., June 2022.
3 Source: Saenko, Kate. “Is generative AI bad for the environment? A computer scientist explains the carbon footprint of ChatGPT and its cousins.” The Conversation. 23 May 2023.
BLOOM
PLUG at critical level - time to break through
PLUG has been in an aggressive downward move this year.
The chart shows two failed attempts to get through the $29.60 resistance level. It is now attempting a 3rd and I'm bullish. Why?
The price action shows the aggressive downward move, a breakout from this move around $26.30 and a slight rotation of the angles indicating we may have found a bottom and more buyers are coming in.
But the ascending triangle is why I'm hopeful for a rotation up, this is a bullish pattern and it follows the evening out of the slope down.
The 29.60 level is critical because it is not only a stubborn resistance, but it now has the 200 EMA sitting on top of it which can also act as resistance. Double Whamy.
Because this level is so stubborn I'll be placing a stop buy order on the other side of this, with a tight stop in case of a false break and a rejection back lower.
You'll see similar patterns in Bloom Energy, Canadian Solar and some of the other green energy stocks, which suggests a category rotation giving me more faith in the move.
Suggest picking which one to trade carefully and not picking all of them without looking at correlation since they're all behaving in very similar ways.
Bloom Energy Update - Important Levels and TrendsHonestly, I don't know exactly what will happen with Bloom in the short term.
Worst case scenario, it taps 18, then bounces hard, which will confirm a full retracement of the over-extension.
The simple trend line I have should bring us to 30 soon.
The 200 Daily EMA has been reclaimed, as of today. It must hold til the end of the week.
I predict Bloom will hit $75, minimum, by the end of 2021.
BLTBTC - BittrexIf there has ever been a more Bullish scenario on anything it is this. honest upside potentials in the 1000's of % I am in for the long haul on this one.
Fundamentals:
One of the best teams in the cryptospace
Unique product and usable for both commercial, industrial and retail cases.
An onslaught of recent Financial data breaches, leaks and hacks
A growing amount of KYC and AML compliance required in crypto space for Regulatory bodies approval of the sector and increasing frequency, risk and severity of KYC documents - Coinbase, Binance of the most recent occasions.
I see this heading passed ICO price in the year to come but short term I'm looking at swing highs of between 0.00003xxx and 0.00005000 BTC.
FYI I have the majority of my holdings in this project.
Jesse Leimgruber is, for lack of a better word, a business prodigy and a recipient of the Peter Thiel fellowship 20 under 20 grant (this is a $100,000 USD no strings attached grant to the greatest 20 people under the age of 20 each year)
Peter Thiel is known as the mafia don of Silicon valley was the major player in the creation and growth of Paypal and is one of the greatest minds and richest people on the planet. If Jesse is good enough for him, he is damn certain to be good enough for me and my measly holdings!!!
Best of luck
the alt season is upon us Ladies and gentlemen
DYOR
I am not a financial advisor.
[BLTBTC] Bloom Chart Analysis Bittrex (+153% Profits generated)Bloom (BLT) Overview
We are bringing credit to the modern age. Bloom is a blockchain solution for secure identity and credit scoring. Bloom gives consumers ownership over their identity and financial data. By decentralizing the way that information is shared between untrusted parties, the system reduces risk of identity theft and minimizes costs associated with customer onboarding, compliance and fraud prevention.
Bloom (BLTBTC) Chart Analysis
Daily chart:
Bloom (BLTBTC) is looking beautiful on the chart with a high volume breakout above EMA10 and EMA50.
The next resistance to break is EMA100 marked with a blue line.
We have a massive increase in volume as well as a super bullish RSI.
The MACD is on the bullish zone and shows plenty of room left available for growth.
With the bullishness we are seeing in the altcoins market, something we haven’t seen in over a year, this is an easy trade set up.
Bloom (BLTBTC) Targets
Buy-in calculated at 0.00001100
Targets:
(1) 0.00001590 -Reached 30-March (+44%)
(2) 0.00001720 -Reached 30-March (+56%)
(3) 0.00002010 -Reached 1-April (+83%)
(4) 0.00002380 -Reached 1-April (+116%)
(5) 0.00002790 -Reached 3-April (+153%)
Stop loss: Close weekly below 0.00000600.
Capital allocation: <5%.
SOMETIMES YOU HAVE TO FIGHT TO GET IT
When we are in the spiritual path and move with the flow, everything hard is left behind, we learn to be good at moving on.
But it is important to understand when it is right to persist, to fight to get what you want.
Somethings are necessary, the hardships represent the challenges and are there to test if this is something that you truly want.
Keep on going, keep trying, until your heart’s content.
In the end, the results will tell you, if you are being hard headed or if all the hardship was a test.
Namaste.
BLT is getting back into market structureWill monitor Bloom coming days, if it will consolidate in this red area, I will probably enter.
if it closes below market structure I would not be interested anymore.
Main target will be around 3100 SAT, but will take profits along the way
buying the absolute crap out of thisi mean the stars are aligned on whatever indicator you want to look at
Bloom $BLT is a Token That Helps You to Protect Your DataNowadays social media is collected by centralized institutions, where the data of the users, our data, are being sold to another 3rd parties for the companies benefits.
Well, this one might looks like a win-win solutions for all of us. The companies gives us the free service, provide features, updates and so on and they have something in return that makes them revenue without forcing us to really pay them something.
This stigma has been since the early of the development of social media and marketplace. Fast forward things are change. People realized that this kind of thing isn't a corrent movement and can be endanger the community even wider. Because what if a larger institutions that take benefit from this data that they bought from this platform wanting something that might harm for the community itself in longer term? Or what if all of these data being wronged by person, an important person that has bad intuitions?
That is one of the Bloom concern tho, to actually regain control towards your data towards the blockchain while you at the same time can still using the feature. You can choose what data you wanted to share and what data you wanted to keep for yourself.
This token is quite young actually. Listed on coinmarketcap.com on February 2018 and predictably yes, a rekt chart since it is non leverage trading instrument yet.
Bloom has 150,000,000 total supply while nearly 1/3 of it on the circulating at the moment.
Since bloom in it's infancy at the moment, it only traded for $8-10K a day. Even though it already listed on Upbit, Bittrex, Bibox and few other.
If you believe that this token has future then you might wanted to jump in. I suggest to wait around 2142-2473 range for first entry. For the next entry you might wanted to wait until it break 2000 sats and below to actually re-assess.
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TIPS: PATIENCE & PERSISTENCE ARE KEY TO SUCCESS
RISK WARNING: Cryptocurrency investment is subject to high market risk. Please make your investments cautiously. I will make best efforts to bring profitable signals, but will not be responsible for your investment losses or profit.
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BLT/BTC uptrend channel After being silent for a long time we see blt breaking through some fib levels and generating momentum towards an uptrend channel.