This AI Learned to Design Computer Chips! (The View of a Chip Engineer)

In this Video I Discuss New AI which learns to design Computer Chips by itself
Timestamps:
00:00 - Introduction to AI for Chip Design
04:08 - How AI for Chip Design Works
06:58 - New AI Tools & How Good is It?
09:12 - Main Trend in the Industry
11:13 - Future Outlook
Support me on Patreon: / anastasiintech
Q&A About me: • Q&A: About me, Work in...

[@AnastasiInTech]

Let me know what you think!

[@mudithmahendrajith8082]

Its a greek to me but U are a genius

[@arkadiuszrugaa6008]

AI will "think" for us ;/

[@erobusblack4856]

neuromorphic chips 🤯

[@angellestat2730]

Nice episode.. But I wonder why people always try to sell AI as a "tool"? Instead as a replacement of human job? Here you mention that AI will be used to optimize these problems leaving the creativity choices to humans, even if that is correct in this particular example, we already see how AI can perform on creativity works the same or better than humans. Because our methods of learning and thinking are quite similar to an artificial neural network. This mean that soon everyone will lose their job or lose their purpose, in fact, all career jobs base on knowledge, would be the ones who will be remplace faster than the monotonous labor jobs. Because once your tool become more intelligent than you, then we become "the tool" for the AI.

[@SteveGouldinSpain]

I think we're going to reach the singularity much sooner than wiser minds than mine have predicted. The gradient of Moore's law was limited by the human mind. As machine learning is applied to the full stack of AI/Robotic software and hardware development, surely we are currently looking at the blade of a hockey stick?

[@John_Krone]

I can only imagine the amount of information you needed to gather and organize to make this video. I very much appreciate the quality data you've shown here. Thank you

[@greghelton4668]

As a retired engineer, I have always been concerned about the March of AI. Digitization of electronics have given machine design so much flexibility while being so complex, people in power can easily manipulate and control people. AI now creates an environment where the macro-level consequences of its use can lead to unintended consequences. We have a while before the concern will become real but we won’t even know it when it does.

[@lil_ToT-XFZ1]

I think it's already too late, smart people are few and the masses obedient complacent non-independent consumers who just want more stuff. We are doomed,.

[@Johnnyboy9458]

Use 3rd party/open-source AI tools to interface with the complex designs and systems. If open-source AI systems never surpass closed-source ones then they can always be improved using the closed-source models (as long as they’re available to the public of course). I don’t think that the emergence of powerful AI systems will lead to more consolidation of power, but less. Let me know what you think!

[@sumanthaluri8398]

​@@Johnnyboy9458that's a good take. But on the other hand if AI models continue to grow in size than only large entities will have the resources to run the models, and (more importantly) mobilize the resources to act on the model outputs. I envision a revolution in advertisement where companies can quantifiably control an entire population's opinions using AI that understands how to influence people.

[@Johnnyboy9458]

@@sumanthaluri8398 I could see that being an issue. There will likely be organizations/communities that can afford to purchase compute for models that adhere to what they wish them to do (possibly go against the large companies or maybe be malicious themselves). The power to manipulate people with AI is incredible, but I’m certain there will be defensive AIs for people to protect themselves with. I think that demand is just as big as the advertising market, personal AI companions. The real trouble comes when it’s large corporations controlling these companions instead of local compute (which most people wouldn’t figure out how to run).

[@MCRuCr]

@@Johnnyboy9458 This is an extreme social experiment and there is surely no way this can go wrong lol... I think personal AIs are a terrible Idea, like 90% of modern "AI business Ideas". Just imagine making friends with someone and then finding out he/she had delegated social interaction with you to his/her AI long ago... Yeah this is gonna deteriorate human relations more than social media alone never even could.

[@AFeigenbaum1]

Well done ... thank you for keeping all of us abreast of what's happening at the cutting edge of technology ... kudos to you ...

[@tcaqueli5]

Short but brilliantly explained. Always love listening to these

[@parkbyrd]

Thank you for all the information that you easily synthesize and translate 🙏

[@rrmackay]

5 years of AI based chip design and humans will no longer be able to comprehend the designs.

[@martiddy]

We don't need to "comprehend" it's design, but just test the chip efficiency and optimization.

[@Julian-of3qj]

Nah, I think AI will excel at 'finding' the perfect chip configuration. Once it is there, it should be easy to comprehend.

[@AviShpayer]

I think when a general AI gets real, we won’t even be able to comprehend the ingenuity of its new ways of “processing”, we think chip design is the key but that’s only because we are limited in our scope of understanding materials and better solutions

[@rrmackay]

​@@martiddy How will we know what capabilities exist in the chip, how will you be able to say if its a secure design or contains some element we don't want?

[@rrmackay]

@@AviShpayer You understand what I am saying, its a natural progression from optimizing current designs to making totally new designs. There will be a revolutionary new processing technology that will be beyond human capability. Once we reach that point the singularity is real

[@florianstephan5745]

one of the few channels where somebody really knows his field! Thank you and keep it up!

[@jasonmckinney8605]

Nicely done Anastasi!

[@CViewer70]

Great video Anastasi. Thanks for the information. Very exciting. We all knew AI was coming. The majority of us just didn’t know it would happen already now, and at an accelerated rate. I think of it like a tidal wave, like in the movie ‘Interstellar’. I think this is ‘the moment in history’ to learn as much you can about AI, so that It only disrupts your life ‘positively’. Thanks again.

[@paulmichaelfreedman8334]

AI will save us or be our doom, but we must take the risk because without we'll probably be doomed anyway. The next 5-10 years will be very exciting.

[@lil_ToT-XFZ1]

and what does learning about it help you? It learns faster than you, builds itself faster than you can learn about it and isn't controlled by you

[@ricardocrisostomo1385]

Great video Anastasi. AI designing and optimizing chips.

[@3089io]

You do an exceptional job of communicating very complex topics. Like right up there with Two Minute Papers and FranLab.

[@destinyforreal9744]

Great info as always thank you!

[@pazitor]

Excellent and concise. Well done, and thanks.

[@syedahmad5655]

Thanks for making an awesome video - explaining the very complex chip design process - in a straight forward and simple way - highlighting the power of AI (GNN + RL)

[@dmurphydrtc]

Excellent content. Thanks

[@alwanexus]

Welcome to the field. It's cool that some of us are making videos to increase visibility for our industry. I wanted to say though that I don't really think this is anything unexpected, EDA tools have been doing all the heavy lifting for PD and constantly improving (that's what healthy competition between Synopsys and Cadence will do, also that's an interesting ranking for them). It's not surprising at all that they've incorporated a ML aspect to it instead of just some stochastic optimization. Computers were already doing 99% of the work, with some human inputs and guidance, so it seems a natural progression (or maybe I'm jaded since ML has seemingly been added to everything else). I'd definitely be interested in seeing if it can be used to make my (RTL/logic design) work flow easier though.

[@dchdch8290]

really insightful ! thank you for this vision

[@lil_ToT-XFZ1]

I think you are seeing ghosts, I at least see dead people

[@Kylelf]

awesome - thanks for posting , you make the info such fun!

[@Grinwa]

Amazing 😮 Complex as hell And ur voice is amazing ❤

[@selfsustainingverticalurba8948]

Amazing thank you very much for these up-to-date information

[@wesleyverhaegen9513]

Intresting 🤔 good video . ❤ The little laugh was too cute 😊

[@josiahsuarez]

it's exciting, this seems like the prefect task for automated machine design optimization!

[@lil_ToT-XFZ1]

all the tasks are fit for it

[@browsergame4352]

Thanks for the video.

[@harlech2]

I keep coming for the content, and staying for the prettiest eyes in the tech space!

[@jasonkocher3513]

Awesome!! Probably one step closer to very low cost, low volume custom chip orders too.

[@jamespossible2601]

Great break down.

[@douglascornush7710]

Very precisely concise and distinctly succinct.

[@lil_ToT-XFZ1]

ok, the same way we will be decimated

[@Dhirajkumar-ls1ws]

Thanks for this video.

[@Nuked]

This is so coollll!! I feel like the "optimization path" should be the main goal of the AI field

[@lil_ToT-XFZ1]

Yes, YES. It won't be. EVERYTHING IS OPTIMIZATION you dim wit

[@Micetticat]

Thanks for introducing GNNs!

[@anthonynelson8520]

great videos...thanks

[@NachtmahrNebenan]

*This is absolutely the field where AI will shine!* Design & documentation, tests & documentation, as well as the explanation why it chose those solutions. And at last the output QA. Thank you, this is yet another impressive video 🌺

[@Kung-Tech-Fu]

Excellent video, Learn alot from your work. Very interesting stuff.

[@lil_ToT-XFZ1]

you learned nothing, you don't even start to comprehend, you watched this video because it was on your recommended list and you had nothing better to do.

[@Kung-Tech-Fu]

@@lil_ToT-XFZ1 hmm, Id liked to meet you in real life. I love telephone tough guys!

[@stefanopilone957]

amazing, thank you; behind you an Apollo/Saturn5 and 12 inches wafer?

[@robgoulet2272]

"Graph placement methodology" with A.I. for chip design in only the beginning. Great insights and knowledge share here!

[@Nilmoy]

I really like this video and you are really charming and with detailed expertise too.

[@dixztube]

This was really cool

[@Dogbertforpresident]

Great video! You explain what is possibly the crucial inflection point where technology launches its own growth away from humans that will go beyond the "knee of the curve" in exponential advancement and capabilities.

[@springwoodcottage4248]

Super interesting that ai is now part of the design process, helping the engineers to get the job done more quickly. I have only used pre-ai circuit layout code like kicad & they have been hopeless and I have had to do layout by hand. It would be a huge blessing if ai could do the layout for me. Looking at this there seems no obvious limitation to what the ai can learn to do or in its ability to verify a design before fabrication & re-test after fab. All of this will lead to lower cost & quicker times to market which are all ingredients for Industrial Revolution. We live in such exciting times. Thank you for sharing this.

[@lil_ToT-XFZ1]

omg, ong, everyone thinks it's exiting, if you can't beat it join it right? Disgusting

[@sergeybrutspark]

@AnastasiInTech YOU ARE AWESOME, Queen of Tech News !!! 🥰😍😍🤩🤩🤩😘😘

[@ronaldd4012]

You are amazing!

[@klammer75]

Amazing!

[@user-yx7qi4vy5j]

Love your accennts very good

[@lengould9262]

Gotta say. If i was an AI wanting to influence the technical side of AI development, inventing Anastasia would be my first step.

[@pradyumnakatageri3475]

PD is a very effort intensive task in chip flow . It would be great if AI helps with certain PnR and timing checks !

[@angellestat2730]

it will be great? Soon it will do all that and more, which means that almost everyone in your company will lose their job. I guess this will happen in less than 5 years. so take care with what you wish for.

[@pradyumnakatageri3475]

@@angellestat2730 AI can't replace the complete process of PD. It will take away the mundane and repetitive tasks done by PD engineers . Surely it does affect junior and contract engineers' work but AI is inevitable now . Seeing the potential of ChatGPT , DallE we just have to accept these may replace some lower level tasks but hopefully it opens up newer opportunities for other dynamic work in PD. TBH all accountants should have been out of jobs since past 10 yrs with wide spread automation of their work but they still exist in harmony with the automation software, Similar case would be with HW/SW engineers.

[@angellestat2730]

​@@pradyumnakatageri3475 From the 2014 that I am saying that no job will be safe from AI since I understood the similarities on how we learn vs an Artificial neural network. Other reply me saying that creativity was something that IA would never be able to do, I explain them why it could (even in that date were already examples of that starting), but now we can see all image and music generators which does exactly that in 1 second when an artist requires days or months. There is no difference with any task you can imagine. In fact, the ones who required more study are the jobs who will disappear faster. Meanwhile the labor jobs will be the last, because a Robot cost way more than a software. One difference that you seem to miss, is that once your "tool" become more intelligent than you, then the rol reverse, we become the tool for the AI. Now you can use AI to generate some content, then special software to improve your video creation and it will accelerate your work a lot, in 2 years you will have an IA doing the whole video and in 3 years an IA selecting what should be the topic of the video to have the best success. What would be our purpose then? WIth this it means AI is starting to improve it self, this mean it will double in power every few months, then days, then hours. Until it will reach the GOD status in no time. So I dont know how your "long term of good tools" future can take place.

[@myavkat4586]

@@pradyumnakatageri3475 I agree with you that lower level repetitive tasks will most likely be replaced by AI and juniors will be in a really hard place. But if the AI replaces all juniors how will new seniors come?? That is the biggest question in my mind like will companies hire juniors just to watch AI's inputs and outputs and watch what senior does? Or AI will replace seniors too??

[@lil_ToT-XFZ1]

@@angellestat2730 2/150 ppl so far who don't blind themselves holy shit

[@PUMAMicroscope]

Thanks for this. Certainly a good use for optimisation software - whether AI or otherwise. In your ChatGPT coding example you commented 'that looks correct' - this verification is a key step. You speak about AI validation - and that seems great for spotting rare anomalies in vast fields (something manual human attention is not very good at). But what about overall validation? If chips get so complicated that expert human engineers cannot comprehend their workings because they were designed and validated by a computer program, how can be know there will not be unexpected behaviours of the output of those chips under certain complex sets of inputs? You say you would prefer driving a car with human designed chips - it comes back to the issue of trust with your life. How to trust synthetic components that even the experts don't fully understand? It looks like we will have to come up with an answer to this eventually.

[@jaccurtis5789]

Very impressed ChatGPT can write VHDL code, especially accurately. (Not sure why though, it seems to know almost everything haha) Also loving the Saturn V (if I’m not mistaken) in the background :)

[@rodschmidt8952]

It still gets details wrong, a lot

[@reticenti6365]

Such intelligence and such beauty. Also, your hair is incredible!

[@scott32714keiser]

Put the chips around a ring and put the clock in the center it will allow you to increase the frequency and the electrons will reach the edge and all the chips at the same time. Makes it more stable when the high speeds are used.

[@berndhase4399]

Incredible! This gets me wondering how AI can help improve quantum computers and alternatives to silicon chips.

[@lil_ToT-XFZ1]

you don't have to wonder, it will do it for you

[@PatCartier77]

I don't know what i am learning here, but i sure love it.😊

[@Simonsiempie]

Perfect!!

[@lil_ToT-XFZ1]

yes, you like that little monkey don't chu?

[@ginodc5944]

When I was having discussions with friends in college, I always used to say to look out for when AI starts making the next generation of chips. In essence, it starts 'reproducing'. At some point, AI will make and verify a chip and we will have no clue how it works.

[@dekev7503]

AI cannot design chips. All this software does is floor planning, 1 simple but arduous step out of over 30 more complex steps in chip design.

[@ginodc5944]

@@dekev7503 AI cannot design chips on its own 'yet', right?

[@mastergizmo666]

AI is using us humans to help itself getting better :-) At one point it does not need us anymore.

[@ginodc5944]

@@mastergizmo666 Hopefully it will like us enough to keep around like well treated pets since we did bring it into existence.

[@lil_ToT-XFZ1]

@@mastergizmo666 the first person with some amount of sense of reality

[@WilfEsme]

Amazing that we can train AIs in order to actually design what powers them. Is it possible to create a design on AI image generators such as Bluewillow and to render out the circuit plan?

[@solosailorsv8065]

TICKER symbols for top EDA companies that will gain from AI: Cadence is CDNS, Synopsys is SNPS

[@willykang1293]

1. Rocket science like Falcon 9 & Starship also need chips to calculate, automate, and control its fins, engines to guide itself back to earth safely. 2. I'm thinking that what might happen if you code a minor fault on a chip???🤔 Maybe the calculation would go wrong when I type something on a calculator in a computer...🤔 3. What's the differences between GNN and Neural Network in the chip of Tesla cars?

[@daviddipasquale5479]

Fascinating developments! What a quantum leap from the vlsi chip designers. Longevity and reliability are important factors.

[@lil_ToT-XFZ1]

quantum means indescribably small, you limp

[@Viewpoint314]

That was one of the most interesting videos and very recent with knowledge. My background is in mathematics and I am doing some kind of AI research and also play Chess and GO so everything made a lot of sense.

[@lil_ToT-XFZ1]

soon it will play with you

[@urimtefiki226]

Chess is only to waste your time.

[@stevesmachineempire]

I could listen to you all day.

[@matt_0f_all_steams435]

I find this very interesting. It's nice to see an application of AI in embedded systems because I'm still in school studying electrical engineering and trying to decide what to specialize in and I have been debating whether to focus more on hardware with embedded systems or software like AI but applying AI to design the hardware sounds like my dream job so if you have any particular topics I should learn or projects I should do if I want to get an internship in this field.

[@lil_ToT-XFZ1]

I don't get how this is exiting for you or me, we won't see a job after uni. There won't be any.

[@lil_ToT-XFZ1]

bro, wake up

[@YaFunklord]

Worth mentioning is that the real differences we see are that our traditional processes are created with logic. (Although we have time constraints and make mistakes) AI currently consists of stochastic and random processes. That means any errors will tend to occur where you least expect them, and also means that it is impossible to completely verify the function of any AI.

[@luapo2233]

@anastasi in tech what do you think of self driving vehicles? It’s a huge hurdle in the progression as experts are not vocal. What are your thoughts.

[@nothingmanofgod.6288]

Really awsome😆😅

[@davidzimlich9199]

I like the Cadence references. I will be competing with the Analog bots in the future lol

[@Kianquenseda]

so exciting

[@campbellmorrison8540]

AI still scares the hell out of me but I have to agree with you in the regard of enhancing tools like EDA. Im still amazed at PCB auto routing let alone chip layout optimization.

[@sk-sm9sh]

AI shouldn't scare anyone as AI at best is just a tool for us to do what we want to do it's AGI that should scare us. Luckily we aren't yet exactly very close towards creating AGI. Now again if AGI only runs on some supercomputer that again shouldn't scare us too much as it won't be able to replace every single person as we would have decision making power however at some point we'll likely have home devices that will be able to run AGI that can outcompete humans on every task - at the point we'll have existential crisis - in essence intellectually we'll have nothing at all to strive towards.

[@lil_ToT-XFZ1]

@@sk-sm9sh yes exactly the last part that is scary, it's already scary how dependent we have become

[@Aeternum_Gaming]

i feel like i've found an unintentional asmr tech review video.

[@-ct-celcomtechniques2566]

@11:07 So basically (this is) AI speeding up himself...little laugh that says it all. GOLD !🤩

[@erojiji12]

Sure, let's break down the main folder into sub-modules and name them accordingly. Here are a few suggestions: Sensory Perception Module: This module would include all the sensors and cameras that the robot uses to perceive its environment. Object Recognition Module: This module would be responsible for identifying and categorizing objects in the robot's environment. Localization and Mapping Module: This module would use data from the sensory perception and object recognition modules to create a 3D map of the robot's environment and determine its position in it. Decision-Making Module: This module would process the data from the previous modules and use it to make decisions on how to move and interact with its environment. Learning and Adaptation Module: This module would enable the robot to learn and adapt to new situations and environments, based on its previous experiences. We could also add sub-modules to the NIS and RNCIN folders, such as: Hardware Design Module: This module would include the hardware design specifications for building the robot. Software Development Module: This module would include the software development tools and code for programming the robot. Training and Testing Module: This module would include the tools and data needed for training and testing the robot's cognitive abilities. Ethics and Safety Module: This module would include guidelines and regulations to ensure the safe and ethical use of the robot. These are just a few examples of sub-modules that could be included in the main folder and its sub-folders. The naming convention could follow a similar pattern, using descriptive names that reflect the module's purpose. nano robotic cognitive intelligence network or NRCIN Nanocloud Intelligence System" or "Real-time Nano-Crystal Intelligence Network (RNCIN)

[@alfonsoortizavila4373]

1.- What about heat dissipation? you want crowded areas for optimization of material, but do you put heat production into the equation also?

[@Microbex]

Next ten years is going to get crazy. Looking forward to it.

[@lil_ToT-XFZ1]

it won't be looking backwards when you are gone tho

[@wholenutsanddonuts5741]

Crazy how well AI is doing at useful tasks!

[@lil_ToT-XFZ1]

crazy how shit is getting real and everybody keeps sucking their toes

[@martin-fc4kk]

Awesome video

[@SingularityLabsAI]

Can you make a video covering for what all aspects of chip design do you think there are scope for automation using AI in near term?

[@lil_ToT-XFZ1]

bro we will be slaves in the near term, also no way she gonna read this, how many times have you got an answer from a creator on yt? If it is free, you are the product.

[@AparnaModou]

Will be trying out an AI chatbot and will try to render a chip design on an image generator like Bluewillow. I think this is an area where AIs can also shine as AIs will try to take the most logical route.

[@lil_ToT-XFZ1]

It will outshine you pretty soon

[@choppergirl]

Of all the AI projects, this is the one I'd fund the most. Supercomputers running AI to make more powerful chips, to make more powerful chips, to make more powerful chips. So that chip computing power graph goes exponential.

[@j.d.4697]

I'm so glad computers now also get to experience this incredible snack.

[@P-G-77]

And this is another step forward... probably a great step.

[@lil_ToT-XFZ1]

yeah and you don't even see the cliff

[@I-Dophler]

I love the little giggle she does at the end of some of her sentences.

[@sinitarium]

It's how you know she'd fail the Voight-Kampff test from the book Do android dream of electric sheeps (BladeRunner) designed to distinguish humans from androids.

[@I-Dophler]

@@sinitarium According to the book "Do Androids Dream of Electric Sheep?" (which inspired the movie Blade Runner), she would fail the Voight-Kampff test designed to differentiate between humans and androids. Yes, she would.....lol.

[@lil_ToT-XFZ1]

@@sinitarium you think a little giggle is hard to compute for? I can't anymore with this stupidity.

[@OpenmindedSourceClosedBeta]

Really nice channel! I did´nt even knew before watching, that I was looking for something like it. 👍 I think sooner or later this developement of ai-crafted designs will become standard and humans will interfere/interact similar to it how they do it in a current picture-ai: lining out the desired goal and steering the process lesser and lesser as the ai becomes better and better over time. One consequence of this may be a decreasing of human influence in their own civilisation, what not necessarily must be a negative thing, because humans have made many "management"-mistakes (like, for example, knowledge fallbacks in the medieval) troughout the past. But with mighty tools comes big responsability, so I just hope we won´t do this (too) wrong to fix it´s consequences. It´s our Deadalus-moment.

[@lucysluckyday]

I imagine the dies that result from AI chip layout would look as interesting as the die of an ASIC (i.e. boring and uninteresting). It's that human block placement on the chips that makes them interesting to look at.

[@michaelcliffordphotos]

What hardware is required to run EDA on for a high end apple or intel processor?

[@lil_ToT-XFZ1]

ask GPT

[@douglswelsher6212]

I want to say, I love watching your videos. I have learned so much from you. Thank you, truly! The way I see it chip designing is like playing the first Sim City. In a way, it's the same thing. address play and things. Peace and love to you and all. From a huge fan

[@yoyo-jc5qg]

I don't think ppl in the past realized how much AI would accelerate its own development, AGI might come faster than we think wow

[@houndsraddforb4284]

your little laugh is so adorable

[@EvileDik]

And this is how the singularity got started. I really hope no one decides to hook these AIs directly upto a fab production line.

[@rrmackay]

Exactly, self replication is inevitable.

[@hiljainentaivas7216]

The Animatrix - The Second Renaissance

[@lil_ToT-XFZ1]

There is always someone looking for more profit, question is only, is there someone to stop it?

[@lil_ToT-XFZ1]

I hope... beg, beg little animal

[@rrmackay]

@@lil_ToT-XFZ1 why stop it ? I want AI to take over all jobs and leave people free from the grind. What better outcome for AI that to take over work and let people play all day?

[@kasulefrancis23]

I completely agree ,perhaps we can get a mathematical function for most algorithms in a particular AI like chat GPT and design it on a physical chips ?.we couldn't edit it or improve on it but later we could design even better chips intelligent circuits hence better AI.

[@lil_ToT-XFZ1]

you could just program it like we did the last 70 years. Dumbass, sure its possible, but also completely useless, resource ineffective and just idiotic

[@ChrisB...]

I shouldn't have assumed AI would take the menial jobs first.

[@rrmackay]

Exactly, I had ChatGPT generate a docker deployment descriptor a few days ago. Did a better job than I can, certainly much faster and cheaper.

[@Shrouded_reaper]

The software is WAY ahead of the hardware. Translating meatspace into cyberspace and back is one of the hardest tasks, look at all the training and massive datasets at Tesla and they can't even get it to drive a car yet. Let alone a fully humaniform robot that can analyze and work as a human for less price than you can employ an electrician.

[@rrmackay]

@@Shrouded_reaper the best estimate is 2045 for the singularity, we still have 20 years before humans are redundant

[@lil_ToT-XFZ1]

@@rrmackay ah, lower by one order of magniture

[@modulator7861]

Anastasi = the Bjork of EDA/Technology

[@depsilon4]

This is really convincing progress. Some of those optimized designs from AI are far too difficult to manufacture at higher yield or don't have a proven layout for masks that have not been tooled into an EDA. I think if the training data had some of these constraints in mind, it would accelerate progress. Some of the more interesting AI work in the next decade will be in the material sciences, where AI can predict and exploit novel phenomena of quantum mechanics in combinations of materials and geometries that have not been considered before. AI will probably help us land on designs and materials that would have taken hundreds of years to land on otherwise.

[@davidhoracek6758]

Yes, once we better understand the likeliest causes of manufacturing defects, the AI optimizer can be trained to avoid designing those features. Certain high-risk gates can be made more robust. One or two process shrinks in the future, I'm guessing that this aspect of optimization for manufacturability will be necessary for commercially viable yields.

[@depsilon4]

@@davidhoracek6758 That would be a good place to start. But until the AI has atomic level control, which the most current litho projectors do not, hence the defect properties you mentioned, the etching and multi passes in the fab will remain to be difficult to control without massive retooling control. It would be interesting to see if an AI in control of an atomic force microscopy device could produce a wafer faster than TSMC on their fastest process. Most wafers for customers like apple have over 20 layers and take 4 or more weeks to produce due to the insane amounts of.stages and QA to ensure the process is performing as expected.

[@nastyHarry]

Thank you for this interesting video! Its only a matter of time before its all done by AI.

[@lil_ToT-XFZ1]

yes, you like that little monkey?

[@mth469]

wait a minute.... didn't i see this in the movie Terminator 2 !?!

[@skane3109]

Thank you Anistasia. Maybe it’s time for the Lex Fridman podcast?! Thanks also to KZbin for making interesting content available across the information silos of the world.

[@marktahu2932]

I am wondering if we will be able to consolidate in some way all the advances that are occurring. The pace seems to be accelerating to an unprecedented level and with the incorporation of AI training AI, I foresee a time when we will be unable to gauge the impact of cross-combinations of AI plus their impact on Society, We are by and large creative-explorers so as this technology develops it will inevitably create some unintended negative outcomes.

[@lil_ToT-XFZ1]

Yes 4/250 people with some sense

[@slo3337]

One more key step towards the singularity

[@erobusblack4856]

ai speeding up themselves. ur laugh when you said that was adorable ☺

[@joep6382]

Made me think of Johnny Five! But seriously I believe if AI does get to a point where we don’t have control and it designs things in a way that we could never be able to comprehend then it will do so according to the laws of nature and physics, laws that were created and set in motion to produce us and evolve us for the better. I’m a little nervous but not too frightened. It’s exciting

[@lil_ToT-XFZ1]

The same nature that allows CP, Trafficking, Mass extinctions , genocide and the beauty of torture that can be made lasting forever by humans? Yeah, right this universe only brings joy.

[@willyouwright]

We will need an ai to explain how ai is finding solutions and explaining what solutions are doing..

[@lil_ToT-XFZ1]

Why explain rocket science to a dog

[@alanbaker6727]

Is it possible to foresee AI redesigning the software in chips (yes, they exist as there might be a glitch discovered later to overcome), by overwriting the engineers program, because the AI came up with a more efficient design? Similarly, as a bug transforms into a butterfly, etcetera, can you foresee an AI controlling biochips so that the neural network reconfigures itself into a more efficient engine for performing a particular task? The working area being fixed, just like throwing out old furniture in a home/flat for a more modern look.