Can  AI   be used in  electronic  design  Is  it possible ?  Check it out  - Page 1
Forum section: electronics / general

author: Psycho_Mantis
author_rank: Newbie
timestamp: November 12, 2024, 12:18:22 am
content: Design a transformer for a fly back SMPS (Switched Mode Power Supply) with the given specifications requires detailed calculations. Below is an outline of the design process:Specifications:Input Voltage Range: 90V to 260V ACOutput Voltage: 5V DCOutput Current: 15AOutput Power: 75W (5V × 15A)Efficiency: 90%Topology: FlybackSwitching Device: GaN transistors (for higher efficiency and faster switching)Operating Frequency: Typical range is 100 kHz to 300 kHz (selecting 150 kHz for this design)---------1. Determine the Input Power: 83.33W2 Peak Primary Current Calculation:1.31A3. Determine Turns Ratio:11.554 Design Core Selection: Choose a core material with low core losses at 150 kHz (e.g., ferrite core, type N87 or equivalent). Calculate the core size based on the power level and the switching frequency.5 GaN Transistor Selection:Choose GaN transistors capable of handling the voltage and current with low RDS(on)DS(on) and high-speed switching to minimize switching losses. Examples include:Transistor: GaN Systems GS66504B or similar.Gate Driver: Use a high-speed gate driver compatible with GaN FETs (e.g., Texas Instruments LMG1210).6. Output Rectification:Choose a Schottky diode or synchronous rectification for improved efficiency. Ensure the diode can handle the output current with minimal losses.7. Snubber and Filtering:Design a snubber circuit for primary switch voltage spike suppression and EMI filtering for both input and output.---------Primary Wire Gauge: Referencing the American Wire Gauge (AWG) chart, you need a wire gauge that can handle at least 0.76A with a reasonable margin for temperature rise.AWG 26 has a current-carrying capacity of about 0.36A (safe for moderate temperature rise).AWG 24 can carry approximately 0.577A.AWG 22 is rated for about 0.92A.Since we need 0.76A RMS, AWG 22 would be suitable for the primary winding to ensure minimal heating and losses.2. Secondary Winding Wire Gauge:Secondary RMS Current: The output current is 15A, so the secondary RMS currentsec is approximately 15A.Secondary Wire Gauge: For high-current applications, litz wire or multiple parallel strands of wire are often used to minimize skin effect at high frequencies.AWG 14 has a current-carrying capacity of approximately 15A, which is suitable for the secondary winding.To reduce losses and handle high-frequency effects, consider using multiple strands of thinner wire, such as using 4 strands of AWG 18 (each carrying approximately 4.7A) or 2 strands of AWG 16 (each carrying about 7.4A).---------Recommended PWM Controllers:Here are some PWM controllers that are suitable for a flyback SMPS:Texas Instruments UCC28780:Specifically designed for high-frequency and high-efficiency flyback converters.Supports ultra-high switching frequencies to leverage the fast-switching capabilities of GaN transistors.Implements adaptive burst mode for high efficiency at light loads.Offers zero-voltage switching (ZVS) and valley switching to minimize switching losses.Power Integrations InnoSwitch3-GaN:Integrates both the primary-side controller and GaN switches for compact designs.High efficiency due to optimized switching and integrated functionality.Built-in protection features like overvoltage, overcurrent, and thermal shutdown.NCP1250 (ON Semiconductor):A basic PWM controller for flyback topologies with peak current mode control.Operates at a fixed switching frequency.Simple and cost-effective, but may require an external driver for GaN transistors.3. Gate Driver for GaN Transistors:GaN transistors often require specialized gate drivers due to their fast-switching nature. Choose a high-speed gate driver that complements the PWM controller:Texas Instruments LMG1210:A high-speed half-bridge gate driver for GaN FETs.Provides low propagation delay and fast switching, essential for maintaining efficiency in high-frequency designs.GaN Systems GS61004B Evaluation Kit:Includes both a gate driver and GaN transistors to facilitate design prototyping.Suggested PWM Controller Setup:Controller Selection: Use the UCC28780 for a flexible, high-efficiency design.Gate Driver: Pair with the LMG1210 for optimized GaN transistor performance.Frequency Setting: Set the controller to operate at 150 kHz, balancing efficiency and transformer size.Feedback and Compensation: Design an isolated feedback loop using an optocoupler and TL431 for accurate voltage regulation.---------BobbinRecommendations:Manufacturers: Consider bobbins from reputable manufacturers such as Würth Elektronik, TDK, or EPCOS.---------Primary Capacitor Recommended voltage rating: 450V DC or higher. Recommended Capacitance: Choose at least 100 μF to 220 μF---------Secondary Capacitor Recommended Voltage Rating: At least 6.3V or 10V for additional safety. Use at least 2200 μF to 4400 μF

author: krish2487
author_rank: Frequent Contributor
timestamp: November 12, 2024, 07:50:04 am
content: Great... you got a LLM to regurgitate a excel spreadsheet into a word salad...Now please... try getting anything sensible out of "AI" to do something like schematic design... or god forbid... PCB layout... especially when one has to consider EMI/EMC considerations.. switching noise considerations.. ground loops... choice of components... thermal considerations.. esd / surge aspects.. form factor.. and much much more nuance than in that impressive looking wall of text...

author: Andy Chee
author_rank: Super Contributor
timestamp: November 12, 2024, 08:11:55 am
content: Yes, AI can be used in electronic design. However your example of AI is a failure.Do you actually want (human) assistance in designing a power supply? Or were you just demonstrating AI?

author: tszaboo
author_rank: Super Contributor
timestamp: November 12, 2024, 09:14:12 am
content: I asked ChatGPT to give me a list of ICs with a certain communication protocol (UAC2). Every single answer was incorrect. I asked it to do better, it gave me another 5 result, all bad.

author: screwbreaker
author_rank: Regular Contributor
timestamp: November 12, 2024, 09:39:45 am
content: WEBENCH from Texas Instruments is fantastic:https://www.ti.com/tool/WEBENCH-CIRCUIT-DESIGNERIt make everything for you. You can even replace components from a list, and it will rearrange the final design based on your choice.

author: flipper
author_rank: Regular Contributor
timestamp: November 12, 2024, 09:57:05 am
content: ChatGPT is built to “impress” the media and corporate goons, so they shell out for premium tier AI subs. lol.

author: Psycho_Mantis
author_rank: Newbie
timestamp: November 12, 2024, 12:41:34 pm
content: No I don't want help , I am showing that the "concept of switch mode power supply design can be done with AI i didn't show All the math involved because the whole original post would have been way to long.I am just showing the complexity of doing all the math can be done with AI It's possible that AI can do a lot of circuit design this is proof

author: krish2487
author_rank: Frequent Contributor
timestamp: November 12, 2024, 01:09:28 pm
content: Quote from: Psycho_Mantis on November 12, 2024, 12:41:34 pmA product design in general starts off with specifications.. then a proof of concept / feasibility iteration / engineering validation.. then actual design and development work... then certifications... then a pilot lot manufacturing... then design of test / burn in jigs / supporting documentation ... supply chain setup... and a whole lot of other ancilliary steps that have to be done to get from an idea to a saleable product.. Forget the cost.. this effort takes thousands of man hours to get there... the smallest of that is the circuit design...why would anyone.. who is willing to spend that much time, money and effort to make a product.. skimp on the design aspect and use AI?? IF anything.. that step is the most critical since the rest of the steps depend on the correctness of this step.. If humans make mistakes with the best intentions and loads of experience... why would I trust a LLM ( dont you confuse it with AI... its not the same..) to do a good job when the LLM does not even understand what it is working with...

author: tom66
author_rank: Super Contributor
timestamp: November 12, 2024, 01:15:42 pm
content: LLM's are good at solving "well defined" problems like "write a prime sieve in Python for numbers 1 to 100" and not so good at solving less-well defined problems like how to implement a power supply (since there are too many variables to consider and there is very little information in the training data about this.)

author: ebastler
author_rank: Super Contributor
timestamp: November 12, 2024, 01:35:02 pm
content: Quote from: tszaboo on November 12, 2024, 09:14:12 amYes, I have tried that a few times and have consistently been disappointed by the results. "Can you give me a few [type of integrated circuit] which have [property, e.g. type of interface]?" ChatGPT stubbornly suggests ICs which don't have that property, or even have the exact opposite property -- parallel instead of serial interface, opposite polarity etc.You point out the discrepancies, it apologizes profusely and proposes some further unsuitable choices. You correct it again, it apologizes profusely and re-suggests some of the bad choices from round one.I am rather surprised by this since it seems like a thing LLMs should be good at: Parse datasheet text. I was not asking for properties which have to be derived e.g. from charts in the datasheet in some complex way, but for qualitative features which are clearly stated in the text. Can't understand why it struggles so much with that. And I certainly can't understand why it repeats suggestions which I have explained to be incorrect, just one or two inputs earlier -- it's supposed to have "memory" for the duration of a session, and has certainly demonstrated that in other contexts.(For context, I am not a fundamentalist "LLMs suck!" critic. I have used ChatGPT quite a bit, e.g. for help with small coding fragments which require familiarity with extensive libraries. I found it really useful for HTML/CSS, Python data processing with SciKit libraries, STM32 HAL programming in C for example. Which makes me even more surprised that it sucks when it comes to electronics datasheets.)

author: Andy Chee
author_rank: Super Contributor
timestamp: November 12, 2024, 07:44:14 pm
content: Quote from: Psycho_Mantis on November 12, 2024, 12:41:34 pmNo, it failed.The proof is when the design is constructed, and fails/explodes/catches fire.

author: Psycho_Mantis
author_rank: Newbie
timestamp: November 12, 2024, 08:17:18 pm
content: chat.com (chatGTP) won't show you schematics yet, but it will help a person with Gerber files with software programsMy though was electronic design when a lot of complex math is involved like the magnetics in a switch mode power supply. Their is a lot of math involved with doing the primary and secondary windings Another example of electronic circuits with a lot complex math is A/C circuits when it comes to inductors and capacitors. you start getting involved with that phasor algebra.

author: Andy Chee
author_rank: Super Contributor
timestamp: November 12, 2024, 08:27:09 pm
content: Quote from: Psycho_Mantis on November 12, 2024, 08:17:18 pmAny programmable calculator can simplify the math, you don't need AI for that, for example you can enter in your hypothetical flyback parameters into this non-AI calculator:http://schmidt-walter-schaltnetzteile.de/smps_e/spw_smps_e.htmlWhat you fail to understand is that performing calculations is NOT the only aspect of design.

author: krish2487
author_rank: Frequent Contributor
timestamp: November 12, 2024, 08:53:02 pm
content: Quote from: Psycho_Mantis on November 12, 2024, 08:17:18 pmand what the other seasoned engineers here are trying to educate you is that even if "chatGTP" gives you a schematic, pcb layout it is very very different to making a product out of it...maths or no maths... the maths you are referring to is a solved problem.. It is literally boiled down into a sequence of steps in a textbook or more likely condensed into a spreadsheet or fancy websites or apps or whatever... nothing new under the sun..Thought experiment - imagine the toughest smps design problem for you.. what you imagine would take you several months of work to refine and arrive at the precise calculations.. for power devices, magnetics and so on...If i give you the schematic AND pcb layout, it does not mean one can make it "just work" ...In essence, what problem has any LLM solved in this specific field of engineering / product design??

author: SiliconWizard
author_rank: Super Contributor
timestamp: November 12, 2024, 09:11:20 pm
content: It looks like many non-scientific people have a hard time distinguishing meaningful text from word salads these days, so that helps "AI" companies give the illusion than LLMs are any kind of "intelligence".It's not particularly a sign that "AI" has progressed (other than processing increasing amounts of existing data), but a sign that human intelligence may be regressing, which some international studies unfortunately seem to confirm.Now for engineers / scientists, not being able to detect word salads is a fundamental problem. The good thing is that reality will always catch up. The bad thing is that it may cost society a lot of extra resources just for the sake of celebrating our own regression.

author: Psycho_Mantis
author_rank: Newbie
timestamp: November 12, 2024, 09:40:18 pm
content: AI will give you the math along with the results, what I am saying that it's only a tool to make the design easier to understand during the learning process I purposely choose a basic design like "fly back circuit" so that my main post wouldn't be so long Furthermore, it's just a learning tool along with with any design book you have on hand.I looked at many switch mode power supply book, not one shows the process of a real life scenario with all the math clearly explained and components selected . I've yet to see a book like that. So by using AI it makes the design math easier to understand that's all I'm saying here.

author: Andy Chee
author_rank: Super Contributor
timestamp: November 12, 2024, 09:46:00 pm
content: Quote from: Psycho_Mantis on November 12, 2024, 09:40:18 pmThe problem is, how does a beginner learner know whether the AI is correct?As for books, try this one:https://caxapa.ru/thumbs/348441/Switchmode_Power_Supply_Handbook_3rd_edi.pdf

author: ebastler
author_rank: Super Contributor
timestamp: November 12, 2024, 09:48:35 pm
content: Yes, I was wondering about that. @Psycho_Mantis, are you happy with the "clear explanation" for how it determined the peak primary current and the turns ratio?

author: thm_w
author_rank: Super Contributor
timestamp: November 12, 2024, 10:55:53 pm
content: Your space bar is broken, please come back once you've fixed it.

author: Psycho_Mantis
author_rank: Newbie
timestamp: November 13, 2024, 03:18:35 pm
content: I only posted this because when I learned complex A/C circuits, I had to program a TI calculator in the nineties to do all the actually phasor algebra math which was a huge pain in the a$$ It's easier to write computer programs then sit there and follow formula's without any clear and concise explanations Input the data and then get the answer , move on to the next partThat how got the idea on trying the above instead of reading along in a book with all those complex calculationsUse Artificial Intelligence you your advantage or you stay in the eighties and nineties and read your books

author: Andy Chee
author_rank: Super Contributor
timestamp: November 13, 2024, 08:56:41 pm
content: Quote from: Psycho_Mantis on November 13, 2024, 03:18:35 pmYou still haven't answered the question:As a learner/beginner, how do you know the AI response is correct?

author: watchmaker
author_rank: Unknown
timestamp: November 14, 2024, 01:28:13 pm
content: My physician (Dept Chair at Dartmouth) played around with AI last year for writing patient summaries. He said it was worse than a 3rd year medical student doing his/her rotation.You are right, unless you know what the output should be, you have no idea how correct the output was. At least for EE, it is only a device that explodes and not a patient.

author: SiliconWizard
author_rank: Super Contributor
timestamp: November 17, 2024, 10:16:00 pm
content: We finally found a decent use for AI:https://www.thepigsite.com/news/2024/10/ai-decodes-oinks-and-grunts-to-keep-pigs-happy

author: tszaboo
author_rank: Super Contributor
timestamp: November 22, 2024, 09:34:08 pm
content: QuoteQuoteQuoteQuoteThis is the equivalent to the electronics result. I asked it, apparently it gave me a deadly dose of sweetener.

author: amyk
author_rank: Super Contributor
timestamp: November 23, 2024, 09:49:00 am
content: That's a good way to show that AI doesn't actually "know" anything. It's just a fancy search engine.

author: flipper
author_rank: Regular Contributor
timestamp: November 24, 2024, 01:35:32 am
content: Quote from: amyk on November 23, 2024, 09:49:00 amExcept that it makes things up instead of saying “I don’t know”. That doesn’t happen by chance, if you put garbage into a “product” you’ll get the same out.Human ego made, and maintains all this overrated junk.

author: temperance
author_rank: Super Contributor
timestamp: November 24, 2024, 02:10:18 am
content: Quote from: SiliconWizard on November 17, 2024, 10:16:00 pmIf piggy screams or squeals, piggy is experiencing stress. A rather unexpected result. Being slightly autistic I thought they were having the best time of their life while being castrated with a large flat nose plier. This IA is wonderful for people like me to gain some insight into those matters.As if a pig farmers care about what screams or sounds the pigs make. I think we have all seen in the 8 'o' clock news how pig farmers treat their pigs.

author: SiliconWizard
author_rank: Super Contributor
timestamp: November 24, 2024, 02:10:58 am
content: Quote from: flipper on November 24, 2024, 01:35:32 amWell, but the interesting part is that the companies making such AI tools don't even claim otherwise. AFAIK, all of these tools come with disclaimers that more or less say they aren't to be considered fit for any kind of purpose apart from recreational.Yet, there's a relentless marketing pushing this "AI" left and right, as if it was going to replace all human work.This is kind of schizophrenic and rather typical of today's society, to be fair.

author: Andy Chee
author_rank: Super Contributor
timestamp: November 24, 2024, 03:10:52 am
content: Quote from: temperance on November 24, 2024, 02:10:18 amI think you might be missing the broader general application of AI, that is pattern recognition.For another animal language specific example, see:https://www.projectceti.org/My personal wishlist for AI is robotic waste material separation/sorting.

author: temperance
author_rank: Super Contributor
timestamp: November 24, 2024, 05:24:14 pm
content: Quote from: Andy Chee on November 24, 2024, 03:10:52 amNo, but the article linked to is specific about recognizing sounds produced by cattle and my point is that some are not interested in such things at all. As disgusting as it might be for them profit is what counts.QuoteThat's indeed an application area where a lot of money can be made.Thanks for the presentation about whales. Very interesting.

author: RJSV
author_rank: Super Contributor
timestamp: December 16, 2024, 06:30:20 am
content: Did notice, recently, seems like AI now being used in television / media that there have been notable popular 'voices' have been re-introduced (years later). (The particular example was a Kaiser medical system AD).I suppose in many cases the advertisement 'actors' are now deceased and so some sort of legal extensions have perhaps been negotiated, with surviving family members, or estate rep's.Must be busy times for those legal experts, these days.

author: Georgy.Moshkin
author_rank: Frequent Contributor
timestamp: February 14, 2025, 07:17:48 am
content: I've started to use LLMs recently for the code and other tasks and came to the conclusion that most of EE/software engineers are doomed in a sense that current "experts" will be replaced by a younger more energetic people. Tools will evolve, some mix of AI/FPGA/GreenPAK/ASIC/no-code stuff. In 2025, engineers still struggling to add models to LTSpice, or manually drawing land patterns using dimensions from some datasheets. And this is considered knowledge. How transistor works? How to install some buggy IDE in Linux, or how to collaborate using GitHub? How this will be useful? I mean, it's good to know how to feed a horse, how to clean up after it, and why it's important for transportation. But how to use this knowledge to fly an airplane? The same with VHDL "experts" and so on. The old approach slowly starts to resemble solving equations on a piece of paper - a mental exercise, a game of chess. At some point, there will be no documentation in a human-readable form available for newer electronic components. Some insane gray-hair engineers will be walking the streets mumbling: "bring Windows XP back, AI schematics is evil, manual routing is power...". All this transistor-diode knowledge will be separate, in the same way you don't learn much about properties of chip wire bonding in your Arduino, why it doesn't fall of, etc. Not your problem anymore.

author: SiliconWizard
author_rank: Super Contributor
timestamp: February 15, 2025, 03:22:46 am
content: Uhuh, cute story.

author: Analog Kid
author_rank: Super Contributor
timestamp: February 15, 2025, 03:40:26 am
content: Quote from: Georgy.Moshkin on February 14, 2025, 07:17:48 amSo just as "they" say "You'll own nothing and be happy", so too "you'll only know what you need to know, and nothing more".Totally compartmentalized knowledge.Call me a Luddite or a technophobe, I don't care: I hate the fucking future.

author: NE666
author_rank: Frequent Contributor
timestamp: February 15, 2025, 04:33:22 pm
content: Quote from: Analog Kid on February 15, 2025, 03:40:26 amNot to be celebrated but simply unavoidable, given the extent of man's amassed knowledge and endeavours. One human lifetime just isn't close to enough to be any kind of expert or specialist, in all but a handful of areas (if you're lucky, and talented)And I suspect the consequences of that (having so many, very valuable knowledge eggs, held in so few baskets) will come home to roost one day, if there's a major global disaster.

author: coppice
author_rank: Super Contributor
timestamp: February 15, 2025, 04:53:52 pm
content: Specialisation had been ongoing since the time of Thomas Younghttps://en.wikipedia.org/wiki/The_Last_Man_Who_Knew_Everything

author: Messtechniker
author_rank: Frequent Contributor
timestamp: February 15, 2025, 05:10:38 pm
content: For me AI is not what it says on the box. As far as I am concerned it searches through knowledge bases - often of dubious quality - available in the internet and spews out the most probable "answer". This has nothing to do with intelligence. Even worse, it cannot say "I simply don't know". Surely this is only the beginning and things will improve over the years.

author: coppice
author_rank: Super Contributor
timestamp: February 15, 2025, 05:14:37 pm
content: Quote from: Messtechniker on February 15, 2025, 05:10:38 pmThe biggest problem with current AI results is you frequently get some kind of weird mashup of several workable answers from different sources, which have been merged into something entirely useless.

author: SiliconWizard
author_rank: Super Contributor
timestamp: February 16, 2025, 12:01:54 am
content: Quote from: Messtechniker on February 15, 2025, 05:10:38 pmProblem is that AI companies have convinced a majority of people that "intelligence" is nothing else than this, and I'm sure that if you ask just in this forum, you'll get that confirmed.

author: NE666
author_rank: Frequent Contributor
timestamp: February 16, 2025, 10:55:44 am
content: Quote from: SiliconWizard on February 16, 2025, 12:01:54 amTell a lie big enough, and keep repeating it..Now, with governments the world over rushing to throw billions after millions at the 'intelligence' arms race, which tech corporation is going to admit that the emperor isn't wearing his clothes today?Remember when Machine Learning just solved useful, real world problems, without 'human thinking' and without being portrayed by the media as an existential threat to humanity every 30 seconds, and by the 'tech bro's' as the second coming?

author: benseno
author_rank: Regular Contributor
timestamp: February 16, 2025, 12:39:30 pm
content: Quote from: SiliconWizard on February 16, 2025, 12:01:54 amThey need to sell theır product and are heavily depended on investment they need to compete with rivals.Another side of the coin is that it really speeds up things in the fields where it is trained (at least according to my limited observations). The AI business model is shows signs of profitability for its potential users. Yet, users (companies and freelancers) feel the need to adopt it because of if such harmonization is not done in time, then their competitors will eventually do and take advantage of AI from cost and product quality perspective.afaik, AI companies also offer full in-house model hosting to clear doubts on trade secret leakage to outside.

author: coppice
author_rank: Super Contributor
timestamp: February 16, 2025, 03:21:18 pm
content: Quote from: SiliconWizard on February 16, 2025, 12:01:54 am30 years ago, if you talked to the better graduates in East Asia, they would decry their education systems as pushing students hard, but focussing on mimicking a parrot, rather than thinking. It now feels like most western education is following the East Asian pattern, while much of East Asia is trying to move towards developing people's creative potential. The current AI work is far far better at automated precis generation than anything that even approaches thinking.

author: Analog Kid
author_rank: Super Contributor
timestamp: February 16, 2025, 07:38:39 pm
content: Quote from: SiliconWizard on February 16, 2025, 12:01:54 amOK, this gave me a small epiphany, and not a good one.This could be the ultimate nightmare scenario resulting from "AI". And no, not the "singularity", the robot rebellion that the sci-fi fanbois are all predicting. That's a lot of bullshit.No, the real nightmare scenario is this: that "AI" develops more and more fully, and it becomes more and more in common usuage, to the point where it now replaces actual human intelligence, at least in our consciousness: the humans in the future will not only rely on it but will treat it as actual intelligence.The result of this, over a long period, will be the actual atrophy of our own brains and intellects. In other words, the ultimate dumbing-down of our entire species. That's what we're buying a ticket to.To me, that's much scarier than any other outcome I can think of.

author: tggzzz
author_rank: Super Contributor
timestamp: February 16, 2025, 08:22:58 pm
content: https://www.science.org/content/blog-post/evaluation-deep-research-performanceThat is an evaluation of OpenAI on a topic that is unfamiliar to all here. Benefit: we won't get hung up on the specific topic: we will be forced to concentrate on the mechanisms andconclusions that are true in all fields.You will note that Derek Lowe acknowledges the good points in the output. That's unsurprising since he iscontinuallylooking for ways in which machines can aid his field.Some of Derek Lowe's other blog posts are highly entertaining; he has a delightfully droll sense of humour.https://www.science.org/topic/blog-category/things-i-wont-work-withExamples:QuoteQuote

author: coppice
author_rank: Super Contributor
timestamp: February 16, 2025, 09:52:58 pm
content: Quote from: tggzzz on February 16, 2025, 08:22:58 pmSounds like the output you'd get from someone who talks with some eloquence, reads a LOT of material, can produce a reasonable precis, but isn't bright enough to emphasise the interesting bits.The AI's lack of ability to spot historical relevance is interesting. I've seen that a lot. With a lot of questions, that are answered from general material on the internet, I understand this. The date is either missing or dodgy on a lot of material. However, for a report presumably based mostly on journal articles both the date, and the citation trail are trustworthy, and it might be expected to identify what knowledge has superceded other knowledge.

author: tggzzz
author_rank: Super Contributor
timestamp: February 16, 2025, 11:01:18 pm
content: Quote from: coppice on February 16, 2025, 09:52:58 pmLLMs are easy to understand. They assemble grammatically correct sentences and paragraphs based on words that are frequently (i.e. statistically) seen in that context. There is no understanding.Humans emit such word salad too. When they do they are termed bullshitters. Such word salad is typically emitted by middle managers, politicians, salesmen. Guess who think LLMs are good, and who aren't sufficiently intelligent to realise they will be the first with their backs to the wall when the revolution comes.

author: tggzzz
author_rank: Super Contributor
timestamp: February 17, 2025, 01:02:05 am
content: Quotehttps://www.bbc.com/news/articles/c0m17d8827koIf LLMs can't do the relatively simple task of summarising one document, what chance do they have of accurately deriving consequences from N technical documents?

author: coppice
author_rank: Super Contributor
timestamp: February 17, 2025, 01:10:17 am
content: Quote from: tggzzz on February 17, 2025, 01:02:05 amAny BBC news article that is accurate after being summarised by an AI would probably mean the AI ignored the article and sought out the truth.Google's Gemini can only be used for humour value. The stuff it inserts in Google searches is farcical.

author: SiliconWizard
author_rank: Super Contributor
timestamp: February 17, 2025, 03:50:57 am
content: We can note that they didn't test DeepSeek. I wonder why.