if one is able to look into building smaller and much more customised local models; that could be a really really cool business. AI in the future, won't live on clouds. they will live on local servers.
@@virtualinfluencer I would rather think of security measures to keep up with prompt hacking techniques. The more you use LLMs in comercial services the more important it will be to prevent abuse and data breaches. Also with increasing capabilities of autonomous agents you probably have to improve or rethink measures suc as captchas.
TREND #10 - A renewed focus on data quality and Integrity with controls in place to manage. So I am a data guy so I would say this. For me trend 10 is the realisation to business that in order to create and utilise AI as required, their data quality needs to be MAX level. IT world seems to have moved away from ISO etc in recent years (namely due to IaaS, PaaS, Serverless etc.) . Frankley many org's data quality is poor. Good AI requires high quality 'meaningful information'. If you cannot trust your AI 100% of the time, then it is a guide
Great video. Trends are spot on. I would add "Better Memory Algorithms" as the 10th. Current algorithms have serious limitations as we journey towards AGI.
10th trends. (Actually, there are several.). 10.1 - Larger context windows. 10.2 - Faster ASIC hardware, esp. on the inference side, like Groq. (See investments in these area.)
Local add-in cards, PCI LPU's or the like (think local Groq)... and/or GPU VRAM will trend upwards in the short term or specialty graphics cards meant for handling small to mid sized LLM's will be released . I think the value of having local models being more accessible with some hardware development is inevitable. I know the cloud argument; but having the speed, affordability and security of local models is still a compelling consideration. Another great video Martin!
It doesn’t seem that feasible since 99% of companies outsource AI operation to the rest 1% (cloud tech providers), simply because it’s much easier than maintaining your own infrastructure (high availability and hardware upgrades included). To be adopted those chips must be produced at scale while not obsoleting too fast. Regular users also won’t be interested in messing with another piece of hardware having GPT-4 at their fingertips 🤷🏻♂️
My suggestion for the tenth AI trend that SHOULD be happening in 2024 is AIs seeking the objective truth. That is, rational conclusions drawn from verified facts and sound logic. Currently AIs are sweeping up human information that is steeped in lies and distortions. They're responding to our queries with the falsehoods - about climate, political power, economic rationality, etc. - that we ourselves have placed there. What do you think, Dr. Keen?
Bias will be inherent in any data. There will never be a pure logical, unbiased data. So, models will always have some bias. Our goal is to reduce bias to an acceptable extent.
01:12 2024: The year of more realistic AI expectations 02:24 Generative AI extends its capabilities in multi-modal AI 03:36 Smaller AI models are gaining traction due to their lower resource consumption. 04:48 Shift towards smaller models for cost-efficiency and local runability. 06:00 Model optimization is a key trend in 2024. 07:12 Model optimization techniques will emerge in 2024 08:24 Regulation and shadow AI will impact AI trends in 2024 09:35 The dangers of generative AI are increasing along with its capabilities.
I love his videos! He is entertaining and the information is to the point. I think an important trend will be in saving electrical energy by a smarter network and consumer management.
Trends #10 - #20 - back to the roots. AI is so much more than the generative variant. Models like regression, logreg, svm, random forests/boosted trees, and also time series etc have a proven value proposition, we know how they work and they are easy to understand. In fact the EU AI Act implicitely mandates these simpler models for many applications due to requirements of transparency and the right to a human judgement.
Trend #10 - Data-centric AI. Focusing on high-quality, diverse and well-managed data for more effective AI outcomes. Instead of focusing only on fine-tuning the algorithms and models themselves.
As someone fascinated by AI movements, I'm delighted by the possibility of multi-agent systems revolutionizing business operations. The idea of AI agents teaming autonomously to translate complex concerns is mind-blowing. I'm excited to think about how these systems could optimize everything from supply chains to client service.
Hi there. I'm here from 2025 and wanted to let you know that this was way off. 2024 was a much more impressive year for tech than any of us could have imagined!
I think trend number 10 is actually a very great extension of trend 7. It's not just about virtual assistants. It is also about efficient integration with OS and applications (including those without API). Something like boosted Robotic Process Automation driven by GenAI without prior coding of the software robot.
Here are a couple more candidates for Trend #10… 1. Vector libraries (like Pinecone) for model memory 2. AI Ops positions at regular companies for integration of practical AI solutions in everyday workflows
This video was super interesting! I learned that 2024 is all about having realistic expectations with AI, which makes sense after the hype of last year. It’s cool how AI is now becoming part of our everyday tools, like in Microsoft Office and Adobe Photoshop, instead of just being standalone chatbots. The idea of smaller AI models is mind-blowing too, especially since they can be just as good but save a ton on energy. Also, the fact that people are using AI at work without telling their company raises major privacy issues. I really liked this, and I can’t wait to see what else happens this year!
trend 10: emphasis on security and privacy - businesses will want warranties of data confidentiality, deciding between on-device processing, self-hosting servers, vs. cloud and on the opposite side, AI companies will have to proceed very cautiously with open-sourcing things, because (intentional) mismatch of models and datasets may result in huge harm, with legal disputes on responsibility
The tenth requirement for AI is conflict resolution. One huge human short coming is opinion conflict. We battle over religion, government policy, economic policy and truthfulness of information. All information needs to be judged on the relative harm imposed by the use of information to inform decisions by individuals and organized groups.
"Exciting to see how AI is evolving in 2024! Key trends like improved natural language processing, more accessible AI tools, and advancements in autonomous systems are definitely ones to watch."
10) Models learning to consume APIs and interact with software like us (Performing CRUDs on systems) -> this will also assist in voice based UI which is key for XR(VR/AR) systems success, replacing dependency from keyboards, mouse and touch screens for input. Models are not very good at GUI, as us, but they don't need GUI as us, to perform all these actions, A CLI base system will do the work as well.
Awesome videos! The 10.th trend for me is Science. This is where I see huge value and many attempts, but current solition fail to deliver reliability or specifity in this field, even though many organizations try. I am working on it an hope to get a good product by the end of 2024
Good video. One point to add to the smaller model category would be the prospective use of bit-sized LLMs like the bitnet along with MoE. Would be interesting to see how well they can perform compared to MoE and if it's effective, could be a game changer. Earnestly hope work in that field will be fruitful.
#10 - AI in schools, 1) I'm thinking it's potentially the most significant way of teaching language skills by having a voice chat partner fluent in all languages. I think that's why we're seeing Rosetta & Babbel being pushed in marketing blitz atm, they know the clock is ticking before they are irrelevant. 2) Coding assistants in schools 3) teaching kids to be early adopters is an inevitability and OpenAI is testing giving students access to 4-turbo for free for this very reason.
For this reason, it is important that we first have well-trained teachers using AI tools. This is until the traditional school is replaced by AI which will allow adaptation of the educational process to the peculiarities and rhythm of each student.
Preparing Data which LLMs can understand. Either for RAG or for fine tuning. Ex: If your product documentation is badly written and unstructured, and have complex charts, tables etc📊, then LLM will give poor results.
Great insights ! Will we see the compute "traffic congestion" before the companies are nudged towards optimizing the models and parameters and also GPU. Moreover, how do we look at reducing carbon footprint ? Can understanding / interpretation of language be compressed into lower sized models to ensure that additional domain knowledge can piggyback on that capability?, The move towards the ethical AI would come in at 10
Quick Summary 🙂 1. Reality check - on how overall AI is being used for innovation as the hype settles. 2. Multimodal AI - models that can treat diverse tasks - e.g. ask about image and get answers in language. 3. Smaller Models - are starting to perform better on many benchmarks compared to their “big” brother - billions of parameters performing better than trillions of parameters. 4. GPU & Cloud Costs - the less consuming resources and more problem specific reduce costs for customers. 5. Model Optimization - techniques such as quantization helping speed-up training; more should be coming. 6. Custom Local Model - finetuning on an organization’s specific needs using its data. 7. Virtual agents - task automation - more applications to come/to be identified for innovation. 8. Regulations - EU acted AI act in in recent time, more to come. 9. Shadow AI - used by internal resources for informal uses in an organization. 10. **** decide on one using your observation ****
First, how does one do this- writing in front of character/ anchor with no presence of glass/ board seen? His writing too is front facing, meaning he is writing in reverse direction with mirror image of letters! Somebody please explain me. Second, I did not go beyond three-year it seemed too broad and yes somewhat technical.
standardization of data representation for interoperability, different a.i. check the answers to verify allucinations, ai driven robot to introduce reality/ timeline/tasks/physic word, better multimodal transformers, and not this year but fotonics could be game changer for power consumption.
Did you have AI edit the earlier mosst important blockchain trends video using different nouns? I think you did! Very clever. Maybe prep one for fusion powerplants, or room temperature superconductors. Just to be ready.
Airbnb for GPUs is trend #10. Basically folks will join a decentralized protocol to rent their spare GPU capacity over the network to run low bandwidth training workloads.
Wait wait wait...Homebrewing isn't your full job! Who knew that my love of beer and tech would collide like this! (Presenter has an excellent channel called 'The Homebrew Challenge')
In my view, efforts to decrease the BIAS in trained models and datasets is one and a crucial trend. if not , the deviation caused by these biased models is going to destroy many benefits imagined. MODELS that can detect biased results are needed.
For the 10th trend I would expect either of these three to play a vital role - Multi-agent generative systems, training a "workforce of highly specialized AI agents" - AI for (cyber) security - RAGs (Retrieval-augmented generation)
Well when I was thinking this out 20 years ago the next big trend is light memory --- so that instead of magnetic arrays you have light imprints a bit like CD but on light processors so instead of having two states you have frequency states. memory itself can also self recycle in loopback arrays to make lightspeed processing with little or n heat gain due to generation. It really helps the ai in processing complex memory tasks when memory is condensed algoryhtmically. "Also time based ai" so that data processes and training get marked in time code as well as physical relative spatial connections to enable it to physical rules processing that is adaptive based on functioning correctness and goal obtainment. So information isn't based simply on last information but rather temporal forecasting of states of correctness. This then is also affective on the light arrays for optimized processing states.
The idea of time-based AI makes a lot of sense. It is a little like looking at StackOverflow for programming answers without noticing that some answers are from this year and others from 12 years ago. Time has a degrading impact on the relevance that doesn't seem to be accounted for. It may not matter much in generative images or prose, but it is very important with changing technologies and with real-life political arenas, for example.
10: A reversion to staff hiring after all the AI related layoffs when it is finally realised that AI is not ready for prime time either via unsustainable compute costs, cyber hacks or legal woes.
Have to say, as an IT person of some 35 years, I am over the hype each time we develop a new tech, and this is no different to AI. The hype generator ultimately is fuelled by people looking to make a buck or two - an example is the UA-camr Wes Rotham (?) ... to many titles driven by the desire to standout without "SHOCKING" with its headline. Its a shame really, as some of the content from Wes is really good - but I can't be bothered to sift through the BS. This series by big blue, and this speaker, on the other hand are more levelled and trustworthy imo. And the content is equally as good imo. As a result, I definitely recommend, and will continue to recommend to those seeking enlightenment without the hype BS. Thank-you for the content.
I think the 10th trend will be the rise of a highly competitive market for AI tools - well-packaged service offerings and alternatives - remember iPhone dominance initially and then the explosive smart phone market? Expect the start of targeted marketing, custom offerings, and aggressive GPT4 alternatives in price and packaging.
Missing 10th trend? In my field, postsecondary education, I'd say it's the ongoing arms race between AI designed to help students cheat, and AI designed to catch cheats.
#10. Enterprise use We'll be hearing more and more companies tout their use of AI in a more real sense. And it's like the crypto trend of the last few years. Companies that can prove they are benefiting from AI will immediately see their stock prices appreciate
1.Reality check
2.Multimodal AI
3.Smaller model
4.GPU + cloud costs
5.Model optimisation
6.Custom local models
7.Virtual agents
8.Regulation
9.Shadow AI
10.!? guess
Thank you, his writing was drunk chicken scratch...
if one is able to look into building smaller and much more customised local models; that could be a really really cool business.
AI in the future, won't live on clouds. they will live on local servers.
Airbnb for gpus
AGI?
AI and “social existence, social experience, social consciousness”.
X Mohammad Rahim Jamshidi
Trend #10 - AI Red Team + Cybersecurity AI.
Totally agree with you with one condition which is Cybersecurity AI is all time trend, not only for 2024
Generative cybersecurity?
@@virtualinfluencer I would rather think of security measures to keep up with prompt hacking techniques. The more you use LLMs in comercial services the more important it will be to prevent abuse and data breaches. Also with increasing capabilities of autonomous agents you probably have to improve or rethink measures suc as captchas.
Exactly, and this should actually be on top of the list. Weird that sth as vague as "shadow ai" was put on the list but ai cybersec wasn't.
I like listening to this guy. Soothing, and subtly humorous
My view too !
He's my favorite presenter.
Yea he's pretty good
This man is the best, I mean all of them on IBM are good but he is like that teacher we loved to go to the class of
TREND #10 - A renewed focus on data quality and Integrity with controls in place to manage. So I am a data guy so I would say this. For me trend 10 is the realisation to business that in order to create and utilise AI as required, their data quality needs to be MAX level. IT world seems to have moved away from ISO etc in recent years (namely due to IaaS, PaaS, Serverless etc.) . Frankley many org's data quality is poor. Good AI requires high quality 'meaningful information'. If you cannot trust your AI 100% of the time, then it is a guide
Great video. Trends are spot on. I would add "Better Memory Algorithms" as the 10th. Current algorithms have serious limitations as we journey towards AGI.
Francisco
Here are a couple of Trends#10:
1. Commercial competition on AI alternatives
2. Lies and fake detection, good and bad data discrimination
I'm worry about the second option mostly
Trend #10: training in AI as a popular topic. Everyone will try to adquiere skills in the area.
10th trends. (Actually, there are several.). 10.1 - Larger context windows. 10.2 - Faster ASIC hardware, esp. on the inference side, like Groq. (See investments in these area.)
Permission to use AI at work, permission to breath, permission to exist, perfect
Local add-in cards, PCI LPU's or the like (think local Groq)... and/or GPU VRAM will trend upwards in the short term or specialty graphics cards meant for handling small to mid sized LLM's will be released . I think the value of having local models being more accessible with some hardware development is inevitable. I know the cloud argument; but having the speed, affordability and security of local models is still a compelling consideration. Another great video Martin!
It doesn’t seem that feasible since 99% of companies outsource AI operation to the rest 1% (cloud tech providers), simply because it’s much easier than maintaining your own infrastructure (high availability and hardware upgrades included). To be adopted those chips must be produced at scale while not obsoleting too fast. Regular users also won’t be interested in messing with another piece of hardware having GPT-4 at their fingertips 🤷🏻♂️
I have been working on lots of the items you listed for a awhile. From my perspective, your video was spot on. Love your videos!
10th trend: integration with robotics
This
Definitely
My suggestion for the tenth AI trend that SHOULD be happening in 2024 is AIs seeking the objective truth. That is, rational conclusions drawn from verified facts and sound logic. Currently AIs are sweeping up human information that is steeped in lies and distortions. They're responding to our queries with the falsehoods - about climate, political power, economic rationality, etc. - that we ourselves have placed there. What do you think, Dr. Keen?
Bias will be inherent in any data. There will never be a pure logical, unbiased data. So, models will always have some bias. Our goal is to reduce bias to an acceptable extent.
01:12 2024: The year of more realistic AI expectations
02:24 Generative AI extends its capabilities in multi-modal AI
03:36 Smaller AI models are gaining traction due to their lower resource consumption.
04:48 Shift towards smaller models for cost-efficiency and local runability.
06:00 Model optimization is a key trend in 2024.
07:12 Model optimization techniques will emerge in 2024
08:24 Regulation and shadow AI will impact AI trends in 2024
09:35 The dangers of generative AI are increasing along with its capabilities.
This guy is a real genius! I have rarely met smart people like that, hats off!
I love your entire series on these topics. So informative, nicely presented.
#10 Open Source AI
The focus on multimodal AI is fascinating and truly a game-changer!
Great insights on AI trends for 2024! Exciting to see the rapid evolution in the field. #AI #Innovation #TechTrends
10: Sustainable AI
11. Federated and Edge AI Expansion
12. Human-Centered AI and Explainable AI (XAI)
13. AI-Augmented Creativity and Design Tools
I love his videos! He is entertaining and the information is to the point. I think an important trend will be in saving electrical energy by a smarter network and consumer management.
10th Specialized autonomous agents.
11th desktop models, or even models that run on iPhones.
Thank you for this, keep them coming ♥
Trends #10 - #20 - back to the roots. AI is so much more than the generative variant. Models like regression, logreg, svm, random forests/boosted trees, and also time series etc have a proven value proposition, we know how they work and they are easy to understand. In fact the EU AI Act implicitely mandates these simpler models for many applications due to requirements of transparency and the right to a human judgement.
Agents working with agents, all org chart with agents, starting from CEO, i think thats most promising direction to AGI 🚀
Trend #10 - Data-centric AI. Focusing on high-quality, diverse and well-managed data for more effective AI outcomes. Instead of focusing only on fine-tuning the algorithms and models themselves.
As someone fascinated by AI movements, I'm delighted by the possibility of multi-agent systems revolutionizing business operations. The idea of AI agents teaming autonomously to translate complex concerns is mind-blowing. I'm excited to think about how these systems could optimize everything from supply chains to client service.
Very Nicely done - keep going IBM!
Great presentation. Super clear. The speaker's enthusiasm was infectious!
Hi there. I'm here from 2025 and wanted to let you know that this was way off. 2024 was a much more impressive year for tech than any of us could have imagined!
We can see when you posted this 😂
They traveled back in time. Just like I did from 2030. Just to let you know, time travel too got invented and implemented in 2030.
More genius comments from the Ether.
What’s the name of this movie???😅
FAKE
I think trend number 10 is actually a very great extension of trend 7. It's not just about virtual assistants. It is also about efficient integration with OS and applications (including those without API). Something like boosted Robotic Process Automation driven by GenAI without prior coding of the software robot.
❤
👍
Here are a couple more candidates for Trend #10…
1. Vector libraries (like Pinecone) for model memory
2. AI Ops positions at regular companies for integration of practical AI solutions in everyday workflows
Candidate for #10: Lawsuits and policy arguments over copyright infringements stemming from training data collection.
I would appreciate blues, greens, yellows, over the violet colors, also.. great work all of IBM
This video was super interesting! I learned that 2024 is all about having realistic expectations with AI, which makes sense after the hype of last year. It’s cool how AI is now becoming part of our everyday tools, like in Microsoft Office and Adobe Photoshop, instead of just being standalone chatbots. The idea of smaller AI models is mind-blowing too, especially since they can be just as good but save a ton on energy. Also, the fact that people are using AI at work without telling their company raises major privacy issues. I really liked this, and I can’t wait to see what else happens this year!
10) AI Gaming (Gaming is a general term for Games, stock market, Betting industry etc.) this is not just for prediction but to orchestrate.
trend 10:
emphasis on security and privacy - businesses will want warranties of data confidentiality, deciding between on-device processing, self-hosting servers, vs. cloud
and on the opposite side, AI companies will have to proceed very cautiously with open-sourcing things, because (intentional) mismatch of models and datasets may result in huge harm, with legal disputes on responsibility
Love the video and the insights!
The tenth requirement for AI is conflict resolution. One huge human short coming is opinion conflict. We battle over religion, government policy, economic policy and truthfulness of information. All information needs to be judged on the relative harm imposed by the use of information to inform decisions by individuals and organized groups.
Another significant AI trend is understanding what data we need to start collecting today to train future AI models.
"Exciting to see how AI is evolving in 2024! Key trends like improved natural language processing, more accessible AI tools, and advancements in autonomous systems are definitely ones to watch."
The 10th trend: the militarization of AI in analyzing battle field data, strategy, and weaponry.
Number 10 - Cybersecurity and Blockchain A.I
Can't wait to see the new Virtual Agents, and further work on Foundation Models
10) Models learning to consume APIs and interact with software like us (Performing CRUDs on systems) -> this will also assist in voice based UI which is key for XR(VR/AR) systems success, replacing dependency from keyboards, mouse and touch screens for input.
Models are not very good at GUI, as us, but they don't need GUI as us, to perform all these actions, A CLI base system will do the work as well.
I always find unique information with crisp analysis here. The concluding part of the video is very interesting. 👏
Awesome videos!
The 10.th trend for me is Science.
This is where I see huge value and many attempts, but current solition fail to deliver reliability or specifity in this field, even though many organizations try.
I am working on it an hope to get a good product by the end of 2024
#10 evolving the cycle relationship between humans and machines
Security alignment - for specific industry?
Another great video, thanks for these insights!
Good video. One point to add to the smaller model category would be the prospective use of bit-sized LLMs like the bitnet along with MoE. Would be interesting to see how well they can perform compared to MoE and if it's effective, could be a game changer. Earnestly hope work in that field will be fruitful.
#10 - AI in schools, 1) I'm thinking it's potentially the most significant way of teaching language skills by having a voice chat partner fluent in all languages. I think that's why we're seeing Rosetta & Babbel being pushed in marketing blitz atm, they know the clock is ticking before they are irrelevant. 2) Coding assistants in schools 3) teaching kids to be early adopters is an inevitability and OpenAI is testing giving students access to 4-turbo for free for this very reason.
For this reason, it is important that we first have well-trained teachers using AI tools. This is until the traditional school is replaced by AI which will allow adaptation of the educational process to the peculiarities and rhythm of each student.
🙏🏻! Great forcasts!
AI is a good tool. Recommend everyone to use it in education finances languages jobs everywhere
Thanks a lot for making this video which is not full of overhyped crap. Had to sift through a ton of bs Bot run channels to get here. Thanks❤
Preparing Data which LLMs can understand. Either for RAG or for fine tuning. Ex: If your product documentation is badly written and unstructured, and have complex charts, tables etc📊, then LLM will give poor results.
My vote for trend number 10: AI source classification : Is an object (tile sound movie) partly or complete AI generated?
#10 creation of a reference scientific knowledge base for AI to use
#11 robots
#12 analog processors and quantum computers
Great insights ! Will we see the compute "traffic congestion" before the companies are nudged towards optimizing the models and parameters and also GPU. Moreover, how do we look at reducing carbon footprint ? Can understanding / interpretation of language be compressed into lower sized models to ensure that additional domain knowledge can piggyback on that capability?,
The move towards the ethical AI would come in at 10
New services / agencies coming up, for setting up the AI models for businesses
Benchmarks -- Alignment
Quick Summary 🙂
1. Reality check - on how overall AI is being used for innovation as the hype settles.
2. Multimodal AI - models that can treat diverse tasks - e.g. ask about image and get answers in language.
3. Smaller Models - are starting to perform better on many benchmarks compared to their “big” brother - billions of parameters performing better than trillions of parameters.
4. GPU & Cloud Costs - the less consuming resources and more problem specific reduce costs for customers.
5. Model Optimization - techniques such as quantization helping speed-up training; more should be coming.
6. Custom Local Model - finetuning on an organization’s specific needs using its data.
7. Virtual agents - task automation - more applications to come/to be identified for innovation.
8. Regulations - EU acted AI act in in recent time, more to come.
9. Shadow AI - used by internal resources for informal uses in an organization.
10. **** decide on one using your observation ****
10. Federated Learning - Training AI models while preserving data privacy. The answer to the EU‘s AI act.
Multimodal AI seems an interesting dimension. Definitely something as an area of interest for innovative ideas.
First, how does one do this- writing in front of character/ anchor with no presence of glass/ board seen? His writing too is front facing, meaning he is writing in reverse direction with mirror image of letters! Somebody please explain me. Second, I did not go beyond three-year it seemed too broad and yes somewhat technical.
He practiced writing backwards dilligently.
The study by Ernest and Young regarding Shadow AI - is that published yet? I'd like to review it.
standardization of data representation for interoperability, different a.i. check the answers to verify allucinations, ai driven robot to introduce reality/ timeline/tasks/physic word, better multimodal transformers, and not this year but fotonics could be game changer for power consumption.
I just took an interview with IBM, amazing company, hit me up any buddy like IBM
Great summary!
10. More realistic deep fake of Will Smith with spaghetti 🍝
#10 - Competition between the tech giants to build the smartest LLMs, on a race towards AGI
Maybe #10 - embodied AI.
Not on a consumer level but still.
Wow, More intresting things developing around.
Did you have AI edit the earlier mosst important blockchain trends video using different nouns?
I think you did! Very clever.
Maybe prep one for fusion powerplants, or room temperature superconductors. Just to be ready.
#10 - Proliferation of end to end Apps will start challenging established business software players
10th increassing impact from good and bad data, which is feeding the diffrent LLM
10 - Personal assistants with vector databases.
What is missing: Automating hallucination detection and correction before output
10. Increased productivity
Airbnb for GPUs is trend #10. Basically folks will join a decentralized protocol to rent their spare GPU capacity over the network to run low bandwidth training workloads.
Wait wait wait...Homebrewing isn't your full job! Who knew that my love of beer and tech would collide like this!
(Presenter has an excellent channel called 'The Homebrew Challenge')
In my view, efforts to decrease the BIAS in trained models and datasets is one and a crucial trend. if not , the deviation caused by these biased models is going to destroy many benefits imagined. MODELS that can detect biased results are needed.
Gpt 5 soon 🔥🔥🔥
For the 10th trend I would expect either of these three to play a vital role
- Multi-agent generative systems, training a "workforce of highly specialized AI agents"
- AI for (cyber) security
- RAGs (Retrieval-augmented generation)
Well when I was thinking this out 20 years ago the next big trend is light memory --- so that instead of magnetic arrays you have light imprints a bit like CD but on light processors so instead of having two states you have frequency states. memory itself can also self recycle in loopback arrays to make lightspeed processing with little or n heat gain due to generation. It really helps the ai in processing complex memory tasks when memory is condensed algoryhtmically. "Also time based ai" so that data processes and training get marked in time code as well as physical relative spatial connections to enable it to physical rules processing that is adaptive based on functioning correctness and goal obtainment. So information isn't based simply on last information but rather temporal forecasting of states of correctness. This then is also affective on the light arrays for optimized processing states.
The idea of time-based AI makes a lot of sense. It is a little like looking at StackOverflow for programming answers without noticing that some answers are from this year and others from 12 years ago. Time has a degrading impact on the relevance that doesn't seem to be accounted for. It may not matter much in generative images or prose, but it is very important with changing technologies and with real-life political arenas, for example.
10: A reversion to staff hiring after all the AI related layoffs when it is finally realised that AI is not ready for prime time either via unsustainable compute costs, cyber hacks or legal woes.
What about multi agent frameworks? That stuff is absolutely amazing
Is no/low code AI a latest trend for 2024
Trend #10 me in the 2024 AI "System"
Have to say, as an IT person of some 35 years, I am over the hype each time we develop a new tech, and this is no different to AI. The hype generator ultimately is fuelled by people looking to make a buck or two - an example is the UA-camr Wes Rotham (?) ... to many titles driven by the desire to standout without "SHOCKING" with its headline. Its a shame really, as some of the content from Wes is really good - but I can't be bothered to sift through the BS.
This series by big blue, and this speaker, on the other hand are more levelled and trustworthy imo. And the content is equally as good imo. As a result, I definitely recommend, and will continue to recommend to those seeking enlightenment without the hype BS.
Thank-you for the content.
Trend 10 --- more and more integration of LLM to motorized Robot like Figure AI 01.
Trend 10: - Preparation against AI attacks.
I think the 10th trend will be the rise of a highly competitive market for AI tools - well-packaged service offerings and alternatives - remember iPhone dominance initially and then the explosive smart phone market? Expect the start of targeted marketing, custom offerings, and aggressive GPT4 alternatives in price and packaging.
Missing 10th trend? In my field, postsecondary education, I'd say it's the ongoing arms race between AI designed to help students cheat, and AI designed to catch cheats.
Adoption and Change Management in Enterprises and Organizations, from upskilling to creating champions
#10. Enterprise use
We'll be hearing more and more companies tout their use of AI in a more real sense. And it's like the crypto trend of the last few years. Companies that can prove they are benefiting from AI will immediately see their stock prices appreciate
Trend #10: Education (virtual Aristotle).
Guy stopped brewing beer for enough time to predict AI
The emergence of AI and its necessities
X Mohammad Rahim Jamshidi
The tenth trend is Sovereign AI - You're welcome.