Some of these acquired products aren't dead or even in maintenance mode though, they're still running. So it doesn't really make sense to include them in a graveyard, among the other very much alive projects like Streamlit and LangFuse, or missing dead projects like Sora.
This is just slop. I wouldn't give this too much attention.
When a company is acquired, sometimes the company's products get a new lease on life, and sometimes the company's products are killed, or allowed to die.
it's because this is just unverified slop that i doubt was thrown together by a human. Langfuse has ongoing conferences and is still used by many frameworks.
Oh man, lots of dead ideas. Atm attention is more important than ever, cos delivering on ideas got easier. Getting the attention your product needs got harder
Did delivering quality really get easier? I'm certainly not seeing it in the software I use. Delivering scale doesn't mean the mission was executed well.
Judging from everyone I know, it will take people a lot of time to learn and accept a lesson from decades ago(one from before some of us were even born and I'm in my mid 30's): lines of code is a shit metric. Sloppers tend to believe that something seemingly working = production ready = good execution. And the metric, of course, is lines of code or "tokens". Until then, the list on this website will keep growing exponentially.
Seniors are no different and that infuriates me even more. The few times I felt lazy and let an AI do a simple function for me, all hell broke loose. I'm starting to think that many people were never that senior to begin with: Writing the code accounts for very little of what development requires and is often the easy part. Understanding the problem and finding the sweet spot/optimal compromise, edge cases and how you can break it is what has always been difficult. Seeing github explode with slop and github(microsoft/openai) themselves push even harder should be a wake up call for anyone that understands what development is: not writing the code but having someone else go through it, analyze it, understand the problem you are trying to solve and why you made the decisions that you made - that pretty much always takes a lot more time than writing the actual code. And then I see someone push 20 commits in a day, each being 5000 lines, jam packed with emojis and other slop and tell me that they carefully reviewed all of them? Yeah, that's bullshit, mate.
Just like how more RAM and compute in the cloud made us worse engineers (no need to turn your brain on to tune performance).
When the brain is off for one thing, it's off for the rest as well. There is a lot of talk about "we don't have to think about code so we can think of ideas", but that's not how it works. We just don't think.
They should put microphones in the cloud servers so you can hear the fans spin up when you run a program. It's a bit more impactful than a silent CPU usage graph.
We will be seeing more on this list and others very soon.
Most of these AI wrappers shouldn't be businesses and most of them are scams.
When OpenAI and Anthropic's TAM is any software business or anything that runs on a digital screen, the margins for every software business trends to 0.
> Microsoft's Bing search engine with AI-enhanced features The product has since been folded into Microsoft; visitors to the original URL are now redirected to copilot.microsoft.com.
What? Besides the fact that Bing was always a MSFT product, the LLM assisted search feature on Bing is still separate [0] from copilot.microsoft.com. At most it was a rename, though Copilot on the MSFT side is different from the one on Bing, is different from the one relying on your local TPU, is different from the one on Github... Great branding.
Even if the content was unreviewed LLM slop, I'd be hard pressed to find a model that outputs that Bing was bought by MSFT when at no point were the two separate.
Also, missing some of the greatest failures like Bard, Dia Browser, Sora, etc.
Just came here to say that https://meat-gpt.sonnet.io/ is still up and running, largely thanks to the hundreds of LLM based bots hallucinating product reviews for it.
I also, thanks to meat gpt, met a guy who sold his startup and pivoted to making beef jerky which sometimes he sells from under his coat pretending it’s drugs.
MeatGPT might’ve lost a competition to a site with perfectly rendered 3d sandwiches, but I’m not bitter, I’m umami.
Died is such a charged word for acquired which is usually celebrated for the company
Acquired is such a euphemism for died which is usually mourned by users.
Some of these acquired products aren't dead or even in maintenance mode though, they're still running. So it doesn't really make sense to include them in a graveyard, among the other very much alive projects like Streamlit and LangFuse, or missing dead projects like Sora.
This is just slop. I wouldn't give this too much attention.
When a company is acquired, sometimes the company's products get a new lease on life, and sometimes the company's products are killed, or allowed to die.
Streamlit seems very much alive. I used it on and off in the past. Went to their website and it looks very much alive.
Ditto for Weights and Biases.
They are in the "Year unknown (12)" category but that's a weird thing to include.
Plus they aren't even AI products, but either have vigorous pre-AI use (W&B) or are completely non-AI but just used by lots of prototypes (streamlit)
Yes, it's active and even had a new release last week
it's because this is just unverified slop that i doubt was thrown together by a human. Langfuse has ongoing conferences and is still used by many frameworks.
Langfuse, W&B, streamlit and reclaim are far from dead. This list doesn't make much sense
It's missing some of the most famous AI products that have been turned off too. Horrible list.
List is missing OpenAI’s Sora.
Counting 38 acquired companies as dead is misleading the reader.
Oh man, lots of dead ideas. Atm attention is more important than ever, cos delivering on ideas got easier. Getting the attention your product needs got harder
A lot of these are just sticking a ui in front of someone else's AI and silently feeding it extra prompts.
This adds a tiny amount of value, sure, but enough to gamble millions on? Obviously not.
No wonder they failed
Did delivering quality really get easier? I'm certainly not seeing it in the software I use. Delivering scale doesn't mean the mission was executed well.
Judging from everyone I know, it will take people a lot of time to learn and accept a lesson from decades ago(one from before some of us were even born and I'm in my mid 30's): lines of code is a shit metric. Sloppers tend to believe that something seemingly working = production ready = good execution. And the metric, of course, is lines of code or "tokens". Until then, the list on this website will keep growing exponentially.
Does it seem like even senior developers are forgetting this axiom? Or do we feel as though it's been obviated by LLM grokking swaths of text for us?
TBH I'm so arrogant, I always suspect there's redundant nonsense in any code module I haven't myself inspected. LLM code is no different.
Seniors are no different and that infuriates me even more. The few times I felt lazy and let an AI do a simple function for me, all hell broke loose. I'm starting to think that many people were never that senior to begin with: Writing the code accounts for very little of what development requires and is often the easy part. Understanding the problem and finding the sweet spot/optimal compromise, edge cases and how you can break it is what has always been difficult. Seeing github explode with slop and github(microsoft/openai) themselves push even harder should be a wake up call for anyone that understands what development is: not writing the code but having someone else go through it, analyze it, understand the problem you are trying to solve and why you made the decisions that you made - that pretty much always takes a lot more time than writing the actual code. And then I see someone push 20 commits in a day, each being 5000 lines, jam packed with emojis and other slop and tell me that they carefully reviewed all of them? Yeah, that's bullshit, mate.
Just like how more RAM and compute in the cloud made us worse engineers (no need to turn your brain on to tune performance).
When the brain is off for one thing, it's off for the rest as well. There is a lot of talk about "we don't have to think about code so we can think of ideas", but that's not how it works. We just don't think.
They should put microphones in the cloud servers so you can hear the fans spin up when you run a program. It's a bit more impactful than a silent CPU usage graph.
Just use RPM sensors and room temperature?
> Bit.ai
> https://bit.ai/updates
seems up? then again, i do not know anything about the tool. maybe the marketing site is up, but the tool isn't?
We will be seeing more on this list and others very soon.
Most of these AI wrappers shouldn't be businesses and most of them are scams.
When OpenAI and Anthropic's TAM is any software business or anything that runs on a digital screen, the margins for every software business trends to 0.
> Bing AI - Acquired by Microsoft.
> Microsoft's Bing search engine with AI-enhanced features The product has since been folded into Microsoft; visitors to the original URL are now redirected to copilot.microsoft.com.
What? Besides the fact that Bing was always a MSFT product, the LLM assisted search feature on Bing is still separate [0] from copilot.microsoft.com. At most it was a rename, though Copilot on the MSFT side is different from the one on Bing, is different from the one relying on your local TPU, is different from the one on Github... Great branding.
Even if the content was unreviewed LLM slop, I'd be hard pressed to find a model that outputs that Bing was bought by MSFT when at no point were the two separate.
Also, missing some of the greatest failures like Bard, Dia Browser, Sora, etc.
[0] https://www.bing.com/copilotsearch
Just came here to say that https://meat-gpt.sonnet.io/ is still up and running, largely thanks to the hundreds of LLM based bots hallucinating product reviews for it.
I also, thanks to meat gpt, met a guy who sold his startup and pivoted to making beef jerky which sometimes he sells from under his coat pretending it’s drugs.
MeatGPT might’ve lost a competition to a site with perfectly rendered 3d sandwiches, but I’m not bitter, I’m umami.
Well this certainly made my morning more entertaining. Thank you!
Hehe, that was quick, thanks!
„Bing AI: acquired“ I don’t trust that dataset…
Diagram was acquired by Figma
Same as crypto/blockchain five years ago. Exactly the same.
Reminds me of fuckedcompany.com during the internet / web bubble in 2000 and the early 2000s.
Seems like every bubble has the same thing going on. I guess during tulip mania everyone was a florist.
the whole database is an AI slop tbh
An (almost) alphabetical list that ends at M? Hmm...
It's metaslop.
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1/3 of these were acquired so far. I think what would be interesting is a label that showed whether anyone made money before it shutdown.
Some of the acquired didn't even shut down. https://wandb.ai/site seems to be up and running.
Yeah weight and biases is definitely still active
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