Have we passed the peak of inflated expectations?
Posted by fairydreaming@reddit | LocalLLaMA | View on Reddit | 136 comments
I noticed the number of people in this sub going down a bit and checked out some google trends. Any idea what's causing this sharp decline?
Irisi11111@reddit
The high cost of hardware, particularly for building a GPU rig, makes it difficult for newcomers to set up local AI systems now.
ambient_temp_xeno@reddit
I'm still waiting for someone to show us something their agentic coding did for them that just vibecoding couldn't.
Ill_Barber8709@reddit
That's the same thing. Agents and Skills are mere .md files that gives better instructions to the model for specific tasks. And it changes the code quality a lot when they are well written (I use Paul Hudson's one for Swift/SwiftUI)
I used Claude Code + Qwen3.6 27B to develop 3 macOS apps: - markdown journaling app with features from iA Writer and Day One I liked - Recipe app - RSS app with built-in yt-dlp
2 daemons: - one to scrap YouTube videos from RSS feed and send it to my Plex server - the other to auto download torrents that replaced the whole prowlarr/radaar/stuffaar stack that feels completely bloated nowadays
I won't share any of those, because first, people hate vibedoded apps in general, and second I don't want to deal with user's feedback and feature requests. I built those things for my needs alone.
I'm a professional developer, so I know how it works. But my job changed a whole lot since I use my company's Claude Code (Anthropic one) and I can handle my own agent on my own setup to work on my own projects during my WFH day. Vibecoding on an M2 Max is very slow, and my model usually works for hours on the tasks I gave it. And since I always work with unit test, build and fix before committing, I can mostly let it work without supervision.
I'll buy the M5 Ultra 256GB once available, because I want to test bigger models with bigger context, and work faster.
ambient_temp_xeno@reddit
What I mean is, could I just ask the plus version of chatgpt to make any of those or things at a similar level of complexity (assuming I knew what I wanted)?
Ill_Barber8709@reddit
It wouldn't work. Without any access to development tools and console, Even the best paid ChatGPT would fail. When developing stuff, context is everything. I guess you could ask ChatGPT to develop a single rather complex HTML file with CSS and JavaScript with very good results. But outside of that, it can't do shit.
ambient_temp_xeno@reddit
It does seem to work best for me with the single html file thing.
Ill_Barber8709@reddit
Good for you. I don't do "single file" code. That's why you don't need agents. Try anything more complex and you'll hit the wall real quick.
I can tell you're not a developer. So what's the point of giving your opinion on the matter? You don't even know what vibecoding actually is. That's weird.
ambient_temp_xeno@reddit
Why don't they just make an agentic coding subreddit? I was here first.
Ill_Barber8709@reddit
Yeah, you were here to tell users to use ChatGPT instead of going local...
So again, what's the point of giving your opinion on the matter?
ambient_temp_xeno@reddit
You're putting words in my mouth now.
The point is I'll do whatever I feel I wanna do. Gosh!
Ill_Barber8709@reddit
You can do whatever you like, as long as you mind your own business. And stop giving your "enlighten opinion" about things you visibly don't know shit about. Thanks.
ambient_temp_xeno@reddit
I just think it's funny when people turn up and then go away again because they watched something on youtube. Don't take everything so personally and get mad about things.
Ill_Barber8709@reddit
I'm answering to that thread. I DGAF about your opinion on anything else.
Oh I'm not mad at all. You're just another ignorant internet moron I like to lecture. The World is so full of people with "strong feelings about stuff" like you. If I had to get mad every time I meet one of those, I wouldn't spend time on reddit.
ambient_temp_xeno@reddit
4543543543543 words
Ill_Barber8709@reddit
I told you, I like to lecture people like you. It's funny.
ambient_temp_xeno@reddit
I like to bait people like you.
Ill_Barber8709@reddit
Because only mad people talk?
How old are you? 12?
michaelsoft__binbows@reddit
you can sure make things by chatting with the chatbot in the plain chatbot interface and copypasting a lot, but that's kinda like coding in notepad.exe vs a proper setup with a decent editor or IDE and using git properly while you have CI/CD running like a well oiled machine up in github. I'm trying to set up a dashboard system so i can have a monitor that always shows current status of all projects that i can watch as agents move them forward.
software development these days is like 80% picking apart minute implementation strategy and architecture shapes inside markdown planning docs. What is nice is you don't even need fancy tools to work on reviewing and iterating docs like that from your phone.
ambient_temp_xeno@reddit
I see. As a non-coder I'm just glad I can get them to make anything at all instead of hoping there's some abandoned github project. Needless to say this is only for non-internet facing stuff.
michaelsoft__binbows@reddit
it's all fine and good. ive been coding for 20 years or so and i went thru the copypaste with chatbot phase in 2023 and 2024. It does feel like a necessary stage somehow. to get a feel for the LLMs and their nature. It goes on from there.
FullOf_Bad_Ideas@reddit
isn't this the same thing?
Ill_Barber8709@reddit
OC thinks vibecoding is talking to ChatGPT in the chat box.
Tai9ch@reddit
The people who can afford to do it seriously are doing their work rather than posting about it.
Neither serious hardware or the high end token plans are cheap.
ambient_temp_xeno@reddit
It does feel like most of them on here are LARPing youtube watchers.
Jeidoz@reddit
BTW, keep in mind google's popularity backfire after announce of AI Search. I suppose a good amount of people went to DuckDuckGo, Reddit, AI Web Search, local search engines (i.e. Yandex, Seznam) and etc. Less google queries, less stats.
LevianMcBirdo@reddit
I really doubt that this had a giant impact in general since most people are just too lazy (they probably tested it heavily in their ai summaries), but maybe for these particular searches
HelloSummer99@reddit
I wouldn't really call people "lazy", chrome is a separate install for most OS's - so just as they installed it they can install something else too.
LevianMcBirdo@reddit
Lazy isn't the right or even nice word. My bad. It's more like most aren't that knowledgeable and use what they are fed. (I often included)
PrintEngineering@reddit
I've got all kinds of hardware I just don't have the skills to prompt correctly. The entire scene is a learning curve and I made it this far and ran into a wall because I don't want to spend ALL my time working on getting models running, I want to actually do the stuff I want to use them for. And truthfully just asking Google is getting pretty good for most things. It's still an interest but it's a bit more backburner than it was before. I'm waiting for one more piece of hardware to be able to run my 3x 3090s and 2 3080s on a dedicated gpu server, maybe once it arrives this weekend I'll dig back in.
UncleRedz@reddit
(USA, past 3 months.)
If you put it in perspective, the inflated expectations around OpenClaw have definitely peaked. Hermes have instead gained some momentum, maybe those who were sticking with these kind of agents are jumping ship to Hermes, heard there is a lot less maintenance with Hermes compared to OpenClaw, have not tested either.
There is some kind of dip in May, but overall both OpenClaw, Hermes and Llama.cpp seems to be around a much more 'normal' baseline. If anything, OpenClaw brought some mainstream attention and coverage, but now we are back in 'enthusiast' territory.
michaelsoft__binbows@reddit
never had interest in openclaw but hermes seems interesting however i would rather tinker on my own memory system than get invested in a premade one. I also came across omp (oh my pi) and it looks impressive. Oh and i had a short dalliance with opencode a while back.
not sure what the best path forward is. largely driving (and switching between accounts) codex now.
a_beautiful_rhind@reddit
I installed an MCP extension to sillytavern with websearch, fetch, time and if I want to delete my system, bash. Boom there's my "openclaw". Already had rag for office documents and PDF.
1ncehost@reddit
As someone who was vibe coding and automomous coding a year ahead of their associated popular projects, I now use hermes after testing other options. It still has some issues, but they've managed to have good reliability, minimal maintenance, and it has been bug free. Its reflection step is minimal but effective at refining skills and making memories automatically without over-correcting. Highly recomend hermes for a "just works" option.
No_Swimming6548@reddit
I am proud of myself not hyping for openclaw, even though I am not a technical person. However, I am loving hermes agent.
HazKaz@reddit
do you mind explaining why ? is it not just like openclaw ? another slop factory. I really dislike openclaw arguably the main reason we got restrictions on coding plan .
No_Swimming6548@reddit
I use hermes with local server. I like it because of built in personalization feature. Since I am not a coder, i just use it as a personal assistant stuff like research, document comparison, sales report generation etc.
NandaVegg@reddit
OpenClaw clearly peaked as per the official github. JMHO general public popularity on internet/headlines and actual number of customers who is willing to actually buy anything hugely diverges, so this may not mean everyone stopped using it.
However, it looks like we are past the hypergrowth period for the agentic story.
No_Swimming6548@reddit
Bot stars, meaningless chart
jacek2023@reddit
youtube -> slop -> idiots -> claw -> "how can I run model without paying" -> "ok these local models don't work" -> focus on something else
IrisColt@reddit
but... they really do work, right?
Sofakingwetoddead@reddit
Qwen 27b fp8 16bit kv is absolutely killing it for us. Massive, complex codebase and not only are we completing 95% or more of Opus' former task allotment, we're doing it much much faster. In fact, in comparisons we're completing tasks with similar but both acceptable results at 300% or better the speed of Opus. They definitely work.
IrisColt@reddit
Thanks for the information! That's truly a game-changer... it's 2026, and the writing is clearly on the wall.
FlyingDogCatcher@reddit
You can buy that big expensive pizza oven that cooks at like 800 degrees with a big flat surface and get amazing results.
You can also make do with a home oven that can only barely tap 500 degrees.
Both work. One works "amazing", while the other "gets the job done".
Nothing is as important as the ingredients on your pie
CulturalKing5623@reddit
Im pretty sure I agree with you, but I'm also confused. Am I the ingredients on the pie in this analogy?
HopefulConfidence0@reddit
You knowledge, harness, RAG, MCPs etc are the ingredients.
Sofakingwetoddead@reddit
I don't think you're the ingredients, but you're the chef. You choose the ingredients.
Maddolyn@reddit
please stop talking im getting hbungry
theUmo@reddit
With sufficient tinkering, yes.
llama-impersonator@reddit
rates it 1 star after expecting qwen 35b to be claude opus
smithy_dll@reddit
they can't even run 35b on the base model mac minis they were all buying
Tartooth@reddit
My favorite was people buying maxxed out mac minis to run codex and claud hookups too.
ManySugar5156@reddit
base mac mini was doing PR for 35b, not really a serious setup lol
ab2377@reddit
đ claw
MrPecunius@reddit
đŻ rawr
a_beautiful_rhind@reddit
Probably burnout combined with real economic problems.
waiting_for_zban@reddit
I think there are more and more derivative high level frameworks (apps/tools) where users need not to interact with vllm, sglang or llama.cpp. The average user would download LMstudio or some other UI on top of other frameworks with 1 click on their device. Or just run with co-pilot.
Sofakingwetoddead@reddit
burnout is real
nakitastic@reddit
The world has run out of hardware.
mrothro@reddit
Yes, and I have a feeling people don't understand how this is literally true.
I sometimes run serverless jobs on runpod or GPU-enabled google cloud instances. Fire it off, wait for it to be allocated, collect results. I don't care where it runs, I will take whatever GPU gets allocated.
There are times when there is literally nothing available on either runpod or google, anywhere in the world. For hours. My job takes thirty minutes, but it waits three hours for a GPU. These are not fancy Blackwells, either.
It is mind-blowing to realize that yes, for hours, the world has actually, literally, run out of hardware.
do-un-to@reddit
đ§
CulturalKing5623@reddit
It's crazy to think about this. It's something you read about with old school mainframes or in sci-fi books about rationed time on the quantum computer.
I never imagined we'd be dealing with this type of scarcity, but today I was stripping SODIMM out of old thinkcentres and considering a cluster of Tesla P100s.
fairydreaming@reddit (OP)
That's true, from what I see 8xH200 prices on vast.ai are only going up and up.
fairydreaming@reddit (OP)
You may be up to something, all the people already bought the hardware and did all the google searches they needed. No new hardware, no need to search.
AlistairMarr@reddit
You could always use the subreddits as a gauge of interest, but note that the agentic subs have a fuckton of bots that will inflate the numbers.
maiznieks@reddit
Idk, maybe they got a running stack and it's good enough
fairydreaming@reddit (OP)
Too bad, I was hoping for a wave of cheap second-hand hardware.
maiznieks@reddit
Will get harder to get it as claude and copilot tokens keep getting more expensive.
user92554125@reddit
When people find something, they usually stop searching.
sammcj@reddit
We introduced new anti-spam / slop measures which have been quite effective (not perfect) in combatting some of the slop bots and corporate hype so I'm certain that'd show on some metrics somewhere. Regardless quantity doesn't mean quality.
ridablellama@reddit
This is more likely a google trends quick with partial data. May is not over yet. all the declines are the latest time period. Pick a fixed time range not YTD and it might stabilize.
fairydreaming@reddit (OP)
No, I switched to last 3 months and it's even more visible.
ridablellama@reddit
you can reproduce this chart countless times with countless words. I can assure you "agentic commerce" has not drop by 80% in less than 1 month. Apply some common sense. Please. this is the hottest industry on the planet. APRIL was the most amazing open source release month in human history, yes, but it won't literally collapse overnight.
also LOOK OPEN AI DOWN 90% TOO SAME TIME FRAME WOW. didnt they just have a huge NEWS CYCLE? make it make sense. Wait 1 week and you will not see this same cliff. I guarantee you.
swagonflyyyy@reddit
Seems to line up with Claude Mythos announcement.
ridablellama@reddit
my theory is 2 factor - April was the biggest AI release month in human history. Then May day, labor day related stuff worldwide in the first 10 days of may. People were just off work a lot in early may all around the world. I am also expecting query volume to be a lot more stable then the trends chart.
KallistiTMP@reddit
It's because the latest data point is partial, most likely.
squired@reddit
Maybe it is because AI forward users no longer google stuff and ask their agents instead? I know I don't google much anymore.
fairydreaming@reddit (OP)
Ok, will see.
ridablellama@reddit
sorry for being a dick
fairydreaming@reddit (OP)
No problem, I'm sometimes a dick too, I can relate.
shinkamui@reddit
That was cope you responded to đđ
mr_birkenblatt@reddit
Yes, the last month is partial data. That's why it looks like it's going down
-Nicolai@reddit
I should hope Google engineers are competent enough to not make a mistake that easy to both predict and solve.
mr_birkenblatt@reddit
Google engineers didn't make a mistake. OP just doesn't know how to read the chartÂ
Fedor_Doc@reddit
This 100%
swagonflyyyy@reddit
Can't say for local models but I'm going to assume the trajectory will be similar to cloud models minus the added cost:
AI is overhyped genie in a bottle.
Companies worldwide try to replace devs with AI.
AI generates slop recursively, gets company nowhere.
Cloud providers raise prices, making slop more expensive.
Companies realize variable token cost is much more risky and expensive than a stable salary for devs.
Companies re-hire devs to fix AI slop, minimize AI use.
Surviving companies that learn how to use agents properly pivot to local models for cost-effectiveness. All other companies are left holding the bag.
The winners here will be early adopters of local LLMs when they start performing well because they will have the hardware and will be battle-tested by then to understand what works and what doesn't with agents, guiding surviving companies towards true cost-effectiveness and self-sufficiency.
This is the main reason why I always try to go local-first no matter what. I see that house of cards crumbling by next year, with this year showing the cracks.
nanobot_1000@reddit
Whatever it is, I don't think it's reflective of local model capabilities - Qwen 3.5/3.6 27B are all I need. It's like local AGI for all intensive purposes.
silenceimpaired@reddit
What about local AGI for all intents and purposes?
Paganator@reddit
It was a typo, he meant AGI for all intensive porpoises.
silenceimpaired@reddit
Not Dolphins? I know they and mice are very smart. Thanks to them the first LLM was made which outputted 42. Such a shame the starting context with the question was lost due to context clipping.
MrPecunius@reddit
So long and thanks for all the fish!
silenceimpaired@reddit
Still, so sad that it should come to this!
grunt_monkey_@reddit
But are they intensive?
silenceimpaired@reddit
Are you asking about intensive intents? Because nanobot_1000 already covered intensive purposes.
nanobot_1000@reddit
Haha yes, got me - I'm a Qwen shill bot who makes grammatical mistakes on purpose, beep boop
But no, aaaacktually...I leverage it's multimodal hard for live vision applications, which are indeed intensive đ¤ˇââď¸
Purple-Programmer-7@reddit
Iâve been âfeelingâ lately like the height of this last hype train has dipped.
Maybe a few things at once:
- âAIâ has reached a max saturation rate â most of the people who would get excited about it have heard of it, used it, and itâs âold newsâ now.
- The impending IPOs are turning people on/off.
- The âMCU effectâ â People are just tired of it. Especially tired of hearing âagi is comingâ and then nothing. We have no patience. And dipshit CEOs donât help with their BS PR.
Personally, I donât think the hype around it is dead, I think itâs going through a dip⌠but it could definitely become âjust another technologyâ if there isnât another ChatGPT moment within the next year or so.
fallingdowndizzyvr@reddit
There's actually a bit of AI hate now. That might have something to do with it.
RoderickHossack@reddit
At first, I was thinking that because local LLMs are so effective these days, more and more people would switch to running them locally, since buying a 24GB nvidia GPU is significantly cheaper than a couple weeks of heavy cloud LLM usage once all the providers stop subsidizing API calls.
But in the wake of nvidia no longer counting gaming revenue seperately, I realized that it doesn't make sense for them to continue selling GPUs to consumers when the margin is much higher for GPUs intended for data center usage. Not to mention, whatever capacity isn't going to AI can be allocated for their cloud gaming service, which Jensen Huang has not been quiet on saying they see as the future of computing compared to the DIY, build your own personal rig at home model we've been used to for all these years.
The thing to keep in mind is that, especially with AMD deciding not to compete in the GPU market at the highest performance levels, nvidia has something like 95% of the PC gaming GPU market, so when they decide to completely pull out, it'll table flip the whole industry in terms of the rest of a PC's components.
What I'm getting at is, the number of people doing what we're doing here is probably only gonna decrease in the medium and long term due to high performance GPU demand increasing while supply from nvidia decreases as they chase more and more earnings, despite already being one of if not the top company by market cap.
DataPhreak@reddit
My guess? These searches are focused on local. Once local is set up, you don't have to search any more. Nobody is building new systems because everything is so expensive. So nobody is searching how to set it up.Â
horeaper@reddit
Llamas was reaching 1.1M some time before, now it's 957K
Specialist_Golf8133@reddit
the trough is real but it usually hits when people realize the gap between demo and production is masive. seen it with every ML wave.
DinoAmino@reddit
20 comments in 12 subreddits during the past hour. Quite the busy reply-bot.
DeathGuppie@reddit
I don't know about you, but expectations are inflating as we speak.
superchorro@reddit
I'm new here and I could guess that there's regular attrition plus a barrier to entry to newcomers (specifically that it's intimidating learning all the terminology and models).
ScoreUnique@reddit
I won't hesitate to say that the complexity of both vLLM and sglang demotivates you from using them (obviously unless you're dedicated or a pro or both- I find people lack reasoning behind why local llms are useful)
Basically ollama graph should have risen, and so must be lmstudio or llamamcpp.
PS: personally I serve 27B with mtp on vllm 2x3090s and since I've set this up I am not model hopping anymore because vllm is legit production grade.
Capital-Meringue-168@reddit
For me at least on the Mac side, the same settled-stack effect is hitting hard. Once you land on a 64GB M3 Max running Qwen 27B Q4 MLX at \~18-20 tok/s decode, the daily flow gets boring fast: same model, same context budget, no reason to google anything. The questions that used to send me to this sub or to llama.cpp issues mostly evaporated.
The MTP + 2x3090 angle is the inverse story too. Someone who sank that much into a rig probably won't be hopping models for the next 6 months either, so it doesn't push the search bar up the way new buyers would. The graphs may be reading 'people stopped caring' when a chunk of us just stopped having to look stuff up.
ScoreUnique@reddit
Man I can admit at this point I'm comfortably sharing model access to normies in my fam by hosting them their Hermes with my GPU access. A cousin even mentioned it's pretty fast for being locally hosted (and funnily it's just qwen 3.6 27b 4bit awq, same quant on 35a3 would whack ass).
Yeah I've heard mlx takes a hit in terms of speed, but if you let apple milk you well you might as well be able to run 5.1 glm comfortably, so I'm not sure what to conclude out of this haha.
fairydreaming@reddit (OP)
Ollama is down too.
ScoreUnique@reddit
I won't hesitate to give credit to closed ai / a(co)ntropic marketing
Jayfree138@reddit
Once you get it running you stop searching. If you looked at a graph of my search history it would drop off a cliff a few weeks after i got my agentic local model running.
ResidentPositive4122@reddit
Lots of bots getting banned recently could be a cause as well. I notice a lot more [deleted by reddit] or [deleted] posts than before. There's some egregious generated posts that are really trivial to detect, so probably they've enabled something like that site-wide? Especially those that post a lot of links would be my guess.
HelloSummer99@reddit
It's in LLM's general interest to stop bots on social media.
ResidentPositive4122@reddit
sorry I don't follow
HelloSummer99@reddit
I might be wrong here, but utlimately LLMs use social media like Reddit as training data - so it's in their interest to be human generated and not some kind of bot-generated content
ResidentPositive4122@reddit
Oh, you mean the labs. Yeah, but they'd solve that problem with in house data curation / filtering, no need to have them banned. I think reddit itself has an incentive to stop the most obvious bots, especially those promoting stuff instead of paying for ads through the site itself :)
tenebreoscure@reddit
Repeating the same experiment for every term or buzzword related to AI coding, like 'context engineering', 'compound engineering', 'harness', claude code, openai codex, even vibe coding, shows the same trend, it's quite interesting. A very sharp decline between the end of April and May.
While decline in everything associated to local inference can be explained by hardware scarcity and Chinese companies' APIs being cheaper then self hosting's electricity bill, the loss of interest in AI coding is a different topic, or maybe one of the causes of the former trend. Since vibe coding took the scene in AI, there was this narrative that every founder/dreamer/enthusiast/builder could build the next multimillion business and get rich without any clue about building production ready software.
Maybe we are past that point now, disillusionment has kicked in, baseless expectations were met with failure, and AI coding is going back to be a topic of interest for professionals only.
Tai9ch@reddit
This is real. Kimi, GLM, MiniMax, and Qwen coding plans are all crazy effective for what they cost. Even running local MiniMax is a hard sell when you spend the model plan monthly cost in wasted time with just like an hour of debugging.
Public_Parfait_6412@reddit
The ai hate train is fr!
ai_without_borders@reddit
google trends measures curiosity not deployment the signal to watch for actual decline would be huggingface download counts or inference framework github activity both still growing search volume peaks when something is new and weird then flattens when it becomes infrastructure that is not disillusionment that is normalization
Napster3301@reddit
the interesting bit isnt the decline lol, its that claw stayed flat all year then ramped through 2026 while llama.cpp peaked in april. mindshare didnt vanish, it migrated. people who actually wanted *agents* found out local agentic stacks werent ready vs hosted and jumped to claw. local search just consolidated back to the people who run models daily, and they were never gonna inflate google trends to begin with.
tarekda@reddit
imo people just don't use google anymore
Kahvana@reddit
Likely openclaw, moltbook, and the model release cycle (qwen3.5/2.6, gemma4, deepseek v4) finally wearing off.
ab2377@reddit
that's actually a very good trend, sub's quality going đ
silenceimpaired@reddit
For this sub? Likely some efforts by Mods to eliminate bots and prevent them from joining. If not that, people leaving tired of all the posts by bots. Or even more likely people tired of âhere is my complex ecosystem I created to make LLMs AGIâ posts.
For the rest of the world on Google and the like⌠I think those concerned with privacy and freedom have found what they want. The majority of the world either doesnât know or doesnât care about the downsides of using online AI. They wonât go looking for a local solution until they are educated one on one by one of us⌠or get burned by online AI with price hikes, decreased or varied service, or hear the horror stories around lack of privacy.
Dany0@reddit
People are using google search less, and AI people/ai bros use AI mode/gemini much more
Excellent-Cup-1786@reddit
Lol well im one of the people trying to google it, im just starting my journey setting up a local llm.
Monkey_1505@reddit
Probably not, based on the sentiment I'm seeing about ai.
orbollyorb@reddit
You guys have to carry on - the goal is local models. I am ready to drop anthopic as soon as they get past the evil threshold.
Alex_1729@reddit
A very suspicious dip the on LLM and agentic.
iMakeSense@reddit
Could be for a bunch of reasons. For instance, maybe people are using LLMs more than google.
fairydreaming@reddit (OP)
But a plot for claude is nice and smooth.
Mkboii@reddit
One of the things that I saw among people is that local models take a hefty upfront cost to run and prices have shot up a lot, so people have been going back to APIs.
Equal_Giraffe8866@reddit
There are two kinds of people: people who do stuff and who like AI to help them do stuff, and people who like AI. Both of them kinda phase in and out of the hype cycles for their own reasons. I've been doing AI junk since building my first Tensorflow rig in 2019 and these cycles are just part of the fun.
xodac@reddit
Now this is not the end. It is not even the beginning of the end. But it is, perhaps, the end of the beginning...
fairydreaming@reddit (OP)
Well said!
Jeidoz@reddit
Nah, it just summer arriving and a lot of people going to rest from computers.
tecneeq@reddit
Google sells AI inference and services and doesn't want the public to know the full interest in open solutions. The graphs from the competition can't be trusted.