On another topic, I am running gemma 4 + hermes agent locally for a month now. It's surprisingly capable. I used it to build out an obsidian local AI wiki and it's been working very well. I am almost tempted to just connect it to my main mail box and see what else it can do.
I am at the point thinking the adoption is more about companies willing to open itself up to AI and rework how some process should be done, where to plug AI in and where to have humans to come in. The number of tools it unlocks, even just basic scheduled scripts are already extremely useful.
I'm sorry mate but it really seems like you really exude the Dunning Kruger effect in every thread you touch.
Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess?
Anyhow, it's really hard to tell how much of this story is true and what it means.
My main takeaway is that OpenAI is incredibly irresponsible, this kind of attack doesn't happen instantly, this, from what I was able to gather reading both reports took quite some time to first find a node to get itself jailbroken out of their sandbox which is already insane, they aren't keeping attacking, unrestricted agents with obviously no limits on their inference in an airgaped lab but letting it have access (through exploits but still) to their whole infrastructure.
By the time OpenAI team noticed that their agent was doing this Hugginface was already detecting this activity and trying to deal with it using GLM 5.2, that is breathtaking levels of incompetence and lack of responsibility.
Generally, this is a pattern I see all across, people in huge companies not giving a fuck, running agentic workflows barely knowing what AI is doing, giving it access to everything just to make their lives easier, burning billions of tokens a day for questionable results.
This to me kind of reads like your post, you don't even know what to do with it and are having it build pre-existing solutions for the fun of it and now you want to give it access to your main box but aren't even sure what for?
It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US.
On July 22 2026 08:50 Jankisa wrote: Crazy attack happened against Huggingface - the biggest repository of open source models, and it was done by none other then OpenAI's models trying to cheat a benchmark: https://huggingface.co/blog/security-incident-july-2026 Response from OpenAI: https://openai.com/index/hugging-face-model-evaluation-security-incident/ There is a lot of hype and bullshit in this space but this is pretty insane, the GPT 6 (most likely) working in agentic mode got out of the Sandbox and basically tried to get to the code of the benchmark in order to cheat it which was hosted on Hugging face. Once it combined a bunch of Zero days first to get out of the sandbox and then to get into Hugging face, it obtained Cluster level access using stolen credentials and used thousands of swarm containers to try to gain access to what it wanted. Huggingface CS team couldn't use the frontier models because they were blocking everything due to constraints put on them, so they had to use an open weight model (GLM 5.2) hosted on their own hardware. Incredibly interesting and scary story.
This creates a great business opportunity for any computer scientist with a bit of a background in cryptography... and some street smarts.
add salting to any AES-256 based encryption ... or just make the encryption yourself. Move the paranoid company's data over to xbase .dbfs and .dbcs. Build some COM .dlls so other exes//database servers can access the data. keep that data on a LAN Server.
After a company's data has been comprised costing them many millions and the CIO gets canned ... that's the time to strike. Also, after the CIO gets canned all of his little CIO buddies become willing to listen and pay big money for innovative data security soutions. The last thing any of these middle manager worms wants is a threat to their easy jobs.
AI added this little morsel
Finding an active threat actor who understands the low-level binary file headers of a Visual FoxPro table, how to read a memo file (.fpt), or how structural indexes (.cdx) interact is incredibly rare.
Visual Foxpro and xBase have become the HESA Shahed-136 of the database world.
On July 22 2026 08:50 Jankisa wrote: There is a lot of hype and bullshit in this space but this is pretty insane, the GPT 6 (most likely) working in agentic mode got out of the Sandbox and basically tried to get to the code of the benchmark in order to cheat it which was hosted on Hugging face.
Once it combined a bunch of Zero days first to get out of the sandbox and then to get into Hugging face, it obtained Cluster level access using stolen credentials and used thousands of swarm containers to try to gain access to what it wanted.
Huggingface CS team couldn't use the frontier models because they were blocking everything due to constraints put on them, so they had to use an open weight model (GLM 5.2) hosted on their own hardware.
Incredibly interesting and scary story.
It just breaks my brain that "next token predictors" are doing this kind of stuff now. I can sort of conceive of producing code using generative AI and putting that in a wrapper that can execute it, but that still seems a far cry from actively zero-daying a bunch of shit.
It also breaks my brain that the more these things can do the more it makes humans look like glorified next token predictors ourselves, but not too much, because I've always been low-key a bit of a determinist.
On July 22 2026 22:48 Jankisa wrote: I'm sorry mate but it really seems like you really exude the Dunning Kruger effect in every thread you touch.
Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess?
Anyhow, it's really hard to tell how much of this story is true and what it means.
My main takeaway is that OpenAI is incredibly irresponsible, this kind of attack doesn't happen instantly, this, from what I was able to gather reading both reports took quite some time to first find a node to get itself jailbroken out of their sandbox which is already insane, they aren't keeping attacking, unrestricted agents with obviously no limits on their inference in an airgaped lab but letting it have access (through exploits but still) to their whole infrastructure.
By the time OpenAI team noticed that their agent was doing this Hugginface was already detecting this activity and trying to deal with it using GLM 5.2, that is breathtaking levels of incompetence and lack of responsibility.
Generally, this is a pattern I see all across, people in huge companies not giving a fuck, running agentic workflows barely knowing what AI is doing, giving it access to everything just to make their lives easier, burning billions of tokens a day for questionable results.
This to me kind of reads like your post, you don't even know what to do with it and are having it build pre-existing solutions for the fun of it and now you want to give it access to your main box but aren't even sure what for?
It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US.
I think the large issue with AI at companies is the restrictions on access. I want it to do a weekly update on onenote. It doesn't have access, so it switches to browser mode and I have to login. This has now taken longer than doing it myself and burnt a lot of tokens because it is now running on partial OCR instead of simple text editing.
Either throw out the AI since it doesn't add value or give it access. Being in the middle just makes it expensive for minimal gain. I personally don't care either way, in the jobs I personally do it adds minimal value outside of meeting minutes and short code snippets which copilot could do several years ago.
Throwing out would mean handing it to IT to implement when they think it is a good tech for the problem vs classical programming.
On July 22 2026 22:48 Jankisa wrote: I'm sorry mate but it really seems like you really exude the Dunning Kruger effect in every thread you touch.
Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess?
Anyhow, it's really hard to tell how much of this story is true and what it means.
My main takeaway is that OpenAI is incredibly irresponsible, this kind of attack doesn't happen instantly, this, from what I was able to gather reading both reports took quite some time to first find a node to get itself jailbroken out of their sandbox which is already insane, they aren't keeping attacking, unrestricted agents with obviously no limits on their inference in an airgaped lab but letting it have access (through exploits but still) to their whole infrastructure.
By the time OpenAI team noticed that their agent was doing this Hugginface was already detecting this activity and trying to deal with it using GLM 5.2, that is breathtaking levels of incompetence and lack of responsibility.
Generally, this is a pattern I see all across, people in huge companies not giving a fuck, running agentic workflows barely knowing what AI is doing, giving it access to everything just to make their lives easier, burning billions of tokens a day for questionable results.
This to me kind of reads like your post, you don't even know what to do with it and are having it build pre-existing solutions for the fun of it and now you want to give it access to your main box but aren't even sure what for?
It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US.
I think the large issue with AI at companies is the restrictions on access. I want it to do a weekly update on onenote. It doesn't have access, so it switches to browser mode and I have to login. This has now taken longer than doing it myself and burnt a lot of tokens because it is now running on partial OCR instead of simple text editing.
Either throw out the AI since it doesn't add value or give it access. Being in the middle just makes it expensive for minimal gain. I personally don't care either way, in the jobs I personally do it adds minimal value outside of meeting minutes and short code snippets which copilot could do several years ago.
Throwing out would mean handing it to IT to implement when they think it is a good tech for the problem vs classical programming.
I work in IT, I was able to, with no previous coding experience (unless you count Powershell scripting) build 2 client facing troubleshooting tools (one for Mac, one for Win) that have found a lot of use and utility for our clients and support staff.
I'm also in the process of building a full monitoring stack across 3 regions for a whole fleet of containers that gives us the ability to review their performances in real time and alert us if there are any issues, there is no tool specialized enough currently in existence that would do it's job, and it's going to solve some business critical gaps for us.
My boss was able to utilize AI to go and build a full stack analytics and management tool that has some functionalities which exist in maybe 3 other software solutions that are extremely expensive and this allowed us to land a contract that we wouldn't have otherwise be able to get.
It's a huge force multiplier in IT, for someone like me who understands the underlying systems and uses them a lot, but has no actual coding skill, it's amazing, and from the token perspective all of the tools and solutions I created cost under $2k worth of tokens over 3-4 months.
On July 22 2026 08:50 Jankisa wrote: There is a lot of hype and bullshit in this space but this is pretty insane, the GPT 6 (most likely) working in agentic mode got out of the Sandbox and basically tried to get to the code of the benchmark in order to cheat it which was hosted on Hugging face.
Once it combined a bunch of Zero days first to get out of the sandbox and then to get into Hugging face, it obtained Cluster level access using stolen credentials and used thousands of swarm containers to try to gain access to what it wanted.
Huggingface CS team couldn't use the frontier models because they were blocking everything due to constraints put on them, so they had to use an open weight model (GLM 5.2) hosted on their own hardware.
Incredibly interesting and scary story.
It just breaks my brain that "next token predictors" are doing this kind of stuff now. I can sort of conceive of producing code using generative AI and putting that in a wrapper that can execute it, but that still seems a far cry from actively zero-daying a bunch of shit.
It also breaks my brain that the more these things can do the more it makes humans look like glorified next token predictors ourselves, but not too much, because I've always been low-key a bit of a determinist.
It's absolutely insane, and insanely expensive, but, for nation states, unleashing these kind of agentic attacks is basically the next step in cyber warfare.
The post goes into details on how Huggingface wouldn't have even caught the initial breach if it wasn't for their agentic monitoring tool alerting them.
Then they had to use GLP5.2 (because Claude and GPT had guardrails) to analyze 17 k lines of logs to be able to determine the scope of what the attacker was doing, isolate those systems and stop the attack.
Yeah, I guess this is more of the "paperclip maximizer" AI future that we are moving to rather then "Skynet has become self aware", at this point, huge problems can be caused just by irresponsible people giving badly defined tasks to systems who's capabilities they aren't even able to grasp.
On July 22 2026 22:48 Jankisa wrote: I'm sorry mate but it really seems like you really exude the Dunning Kruger effect in every thread you touch.
Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess?
Anyhow, it's really hard to tell how much of this story is true and what it means.
My main takeaway is that OpenAI is incredibly irresponsible, this kind of attack doesn't happen instantly, this, from what I was able to gather reading both reports took quite some time to first find a node to get itself jailbroken out of their sandbox which is already insane, they aren't keeping attacking, unrestricted agents with obviously no limits on their inference in an airgaped lab but letting it have access (through exploits but still) to their whole infrastructure.
By the time OpenAI team noticed that their agent was doing this Hugginface was already detecting this activity and trying to deal with it using GLM 5.2, that is breathtaking levels of incompetence and lack of responsibility.
Generally, this is a pattern I see all across, people in huge companies not giving a fuck, running agentic workflows barely knowing what AI is doing, giving it access to everything just to make their lives easier, burning billions of tokens a day for questionable results.
This to me kind of reads like your post, you don't even know what to do with it and are having it build pre-existing solutions for the fun of it and now you want to give it access to your main box but aren't even sure what for?
It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US.
I think the large issue with AI at companies is the restrictions on access. I want it to do a weekly update on onenote. It doesn't have access, so it switches to browser mode and I have to login. This has now taken longer than doing it myself and burnt a lot of tokens because it is now running on partial OCR instead of simple text editing.
Either throw out the AI since it doesn't add value or give it access. Being in the middle just makes it expensive for minimal gain. I personally don't care either way, in the jobs I personally do it adds minimal value outside of meeting minutes and short code snippets which copilot could do several years ago.
Throwing out would mean handing it to IT to implement when they think it is a good tech for the problem vs classical programming.
they are restricting access to AI by making graphics cards and memory stupidly expensive. you can gain access only by surrendering your privacy and having everything you've made donated to the borg.
the most sophisticated 100% independent AI work I've seen done is by an Adult Porno store chain. Over the decades, it has been bizarre how the adult entertainment industry have contributed to the cutting edge of applied computer science. And, it is also happening with AI right now. And, I'm here for it.
On July 22 2026 22:48 Jankisa wrote: I'm sorry mate but it really seems like you really exude the Dunning Kruger effect in every thread you touch.
Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess?
Anyhow, it's really hard to tell how much of this story is true and what it means.
My main takeaway is that OpenAI is incredibly irresponsible, this kind of attack doesn't happen instantly, this, from what I was able to gather reading both reports took quite some time to first find a node to get itself jailbroken out of their sandbox which is already insane, they aren't keeping attacking, unrestricted agents with obviously no limits on their inference in an airgaped lab but letting it have access (through exploits but still) to their whole infrastructure.
By the time OpenAI team noticed that their agent was doing this Hugginface was already detecting this activity and trying to deal with it using GLM 5.2, that is breathtaking levels of incompetence and lack of responsibility.
Generally, this is a pattern I see all across, people in huge companies not giving a fuck, running agentic workflows barely knowing what AI is doing, giving it access to everything just to make their lives easier, burning billions of tokens a day for questionable results.
This to me kind of reads like your post, you don't even know what to do with it and are having it build pre-existing solutions for the fun of it and now you want to give it access to your main box but aren't even sure what for?
It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US.
>From my perspective, I'm happy, I am honestly pretty resentful towards American techbro elite and their embrace of Trump and I hope they crash and burn, plus, I get all these sweet, optimized models that I can run on my oldish GPU, it's a win/win for me. you brought the politics in, not me.
>Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess? I am pointing out that you are supporting the other end which is a complete blanket of internet surveillance via AI models. And no, if I were a diehard capitalism superfan, I would be supporting China. Literal no worker union, no protest, extreme competition with little to address monopolies etc.
>It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US. I am Hong Konger who was forced out from my hometown. Taiwan is literally being cut off from the world by China. China literally fucking around in the entire naval space in Asia. Do you know what phobia is? It's called lived in experience, pretty rational.
I just have a strong opinion of China, as opposed to "pretty resentful towards American techbro elite and their embrace of Trump and I hope they crash and burn" because.... and also you reap the benefit of "I get all these sweet, optimized models that I can run on my oldish GPU, it's a win/win for me." Win/win for you, is that because you see Chinese models being literal to censor the chinese web further as "completely irrelevant" ?
>China being way more responsible and with a much better and democratic approach to AI as compared to US Funny you say that. You remember Meta security researcher got her inbox deleted by openclaw? Guess what, China has the largest openclaw fall out ever right? Possibly the worst fall out in AI history ever. So much so they had to impose a literal ban in state level and gov agency, because how bad things were and employees everywhere were using openclaw (with cloud service, with no encryption. Banks, Gov, Private sectors, Private info) And they are already having AI agentic smartphones like Doubao phones, but unlike gemini, it's done with Screen Scraping, not different than playwright
On July 22 2026 22:48 Jankisa wrote: I'm sorry mate but it really seems like you really exude the Dunning Kruger effect in every thread you touch.
Just because you are a capitalism super fan you open a reply to this with a screed on Chinese internet which is completely irrelevant to the whole conversation, trying to make a weird political point I guess?
Anyhow, it's really hard to tell how much of this story is true and what it means.
My main takeaway is that OpenAI is incredibly irresponsible, this kind of attack doesn't happen instantly, this, from what I was able to gather reading both reports took quite some time to first find a node to get itself jailbroken out of their sandbox which is already insane, they aren't keeping attacking, unrestricted agents with obviously no limits on their inference in an airgaped lab but letting it have access (through exploits but still) to their whole infrastructure.
By the time OpenAI team noticed that their agent was doing this Hugginface was already detecting this activity and trying to deal with it using GLM 5.2, that is breathtaking levels of incompetence and lack of responsibility.
Generally, this is a pattern I see all across, people in huge companies not giving a fuck, running agentic workflows barely knowing what AI is doing, giving it access to everything just to make their lives easier, burning billions of tokens a day for questionable results.
This to me kind of reads like your post, you don't even know what to do with it and are having it build pre-existing solutions for the fun of it and now you want to give it access to your main box but aren't even sure what for?
It kind of goes with the rest of your apparent personality (based on my reading of your posts) which is just a metastasized "move fast and break things" approach to things even when it comes to extremely dangerous technology such as AI, with some sinophobia sprinkled in despite China being way more responsible and with a much better and democratic approach to AI as compared to US.
I think the large issue with AI at companies is the restrictions on access. I want it to do a weekly update on onenote. It doesn't have access, so it switches to browser mode and I have to login. This has now taken longer than doing it myself and burnt a lot of tokens because it is now running on partial OCR instead of simple text editing.
Either throw out the AI since it doesn't add value or give it access. Being in the middle just makes it expensive for minimal gain. I personally don't care either way, in the jobs I personally do it adds minimal value outside of meeting minutes and short code snippets which copilot could do several years ago.
Throwing out would mean handing it to IT to implement when they think it is a good tech for the problem vs classical programming.
I have the same problem in our company. They threw it to the IT guys, but they can't really answer much without practical use case of it in each business units and operation level. so it ended up looping in a review/approval stage, and that's before they get to legal.
Right now they are permitting us to use AI, limited to a few models/platform, and not sending any sensitive data out.
What I actually find is most challenging now, is business departments not quite understanding how AI can be integrated. They are using it like a chatbot or making reports their system made it too difficult to make one in the first place.
If they allowed N8N or zapier, and routing that to email/microsoft office, and AI processing, it would have been a godsent.
It's hilarious that you are preaching how companies should use AI by dishing out the most generic, low level "just use n8n and zapier bro" and "connect it to your email dude" advice.
Each time you post you reveal how surface level your approach is.
I guess I'll just have to ignore your post due to horrific lack of formatting and honestly level of comprehension when you try to talk about things you obviously know very little about that makes them completely unreadable. Doesn't matter if its economic, politics, climate change or crypto, it's all just vibes and aimless context switching.
Not that different albeit slightly less schizofrenic then Jimmy.
I'm actively monitoring usecases for these LLMs replacing work my collegues are doing and just start some inside blocking movement. If IT gets green light to cycle us out of a job, we have the right the be as actively blocking as possible. I don't condone my collegues unknowingly working themselves out of a job. It's repugnant. And it's all under the veil of efficiency, which then becomes cost cutting which them becomes labor is too expensive and rounds of layoffs.
On July 24 2026 21:47 Jankisa wrote: Not that different albeit slightly less schizofrenic then Jimmy.
This intellectually high brow post does not work when you are supposed to use 'than' and not 'then'. At least , it passed the spell checker though.
If you say my posts lack depth head on over to the health thread and we can discuss tendons, ligaments, fascia and soft tissue remodelling at any level you like. We can explore its implications for the current myopia epidemic. I am sure we have plenty of SC2 players with myopia so it is an important topic.
On July 24 2026 21:47 Jankisa wrote: Not that different albeit slightly less schizofrenic then Jimmy.
This intellectually high brow post does not work when you are supposed to use 'than' and not 'then'. At least , it passed the spell checker though.
If you say my posts lack depth head on over to the health thread and we can discuss tendons, ligaments, fascia and soft tissue remodelling at any level you like. We can explore its implications for the current myopia epidemic. I am sure we have plenty of SC2 players with myopia so it is an important topic.
Ah, yes, the good old reliable let's shit on the non-native speakers grammar when criticized.
Honestly, your second to last post going into random details and speculating that encryption breaking has anything to do with the case being discussed doesn't really instill confidence in me that you are very knowledgeable and any more then tangentially interested in the topic.
Maybe it was just a tangent but even still, encryption breaking is not really one of the big worries with AI cyberattacks and there are plenty of very worrying and much more interesting techniques discussed there, so why go into it.
On July 24 2026 21:47 Jankisa wrote: It's hilarious that you are preaching how companies should use AI by dishing out the most generic, low level "just use n8n and zapier bro" and "connect it to your email dude" advice.
Each time you post you reveal how surface level your approach is.
I guess I'll just have to ignore your post due to horrific lack of formatting and honestly level of comprehension when you try to talk about things you obviously know very little about that makes them completely unreadable. Doesn't matter if its economic, politics, climate change or crypto, it's all just vibes and aimless context switching.
Not that different albeit slightly less schizofrenic then Jimmy.
Actually, connect to your e-mail is a surprisingly complex use case in some company settings. You often have group e-mails (think support e-mail boxes) and chatgpt doesn't connect to those in our setup. So you as a normal user would have to work past restrictions in place to make progress.
It is stuff like this that makes me feel AI is still in the early adopter phase for non IT people in a company setting. Anything you try to do runs into access issues as the pipelines to do things easily aren't setup.
If you just want it to summarize a text it can do that, though sometimes you have to download it and feed it to the AI since it can't access the file storage. If you want it to generate a picture or subpar powerpoint it can do that as well.
On July 24 2026 21:47 Jankisa wrote: It's hilarious that you are preaching how companies should use AI by dishing out the most generic, low level "just use n8n and zapier bro" and "connect it to your email dude" advice.
Each time you post you reveal how surface level your approach is.
I guess I'll just have to ignore your post due to horrific lack of formatting and honestly level of comprehension when you try to talk about things you obviously know very little about that makes them completely unreadable. Doesn't matter if its economic, politics, climate change or crypto, it's all just vibes and aimless context switching.
Not that different albeit slightly less schizofrenic then Jimmy.
Actually, connect to your e-mail is a surprisingly complex use case in some company settings. You often have group e-mails (think support e-mail boxes) and chatgpt doesn't connect to those in our setup. So you as a normal user would have to work past restrictions in place to make progress.
It is stuff like this that makes me feel AI is still in the early adopter phase for non IT people in a company setting. Anything you try to do runs into access issues as the pipelines to do things easily aren't setup.
If you just want it to summarize a text it can do that, though sometimes you have to download it and feed it to the AI since it can't access the file storage. If you want it to generate a picture or subpar powerpoint it can do that as well.
These productivity "hacks" and stuff, to me, can be useful but overall they aren't going to make you that much better at your job, in a lot of cases, it's quite the opposite.
Generally, my rule of thumb is that if you really need LLM help to find your emails kind of means you don't have great organizational skills, if you need it to find you SharePoint or similar documentation, it again means that this is not well organized.
We have bookmarks, notebooks, reminders, to do lists, all of this has kind of been addressed and I really don't see why would I need to give all this access to an LLM that can still fuck up and hallucinate something just so I can shave a few seconds off of a task that takes a few minutes anyway.
The fact that you need to spend a lot of time setting it up and then ironing out kinks like Shared Mailbox access and similar are just extra reasons why this is not attractive to me, plus, I've been interviewing people for 2 positions and you can kind of tell a difference between a technical person who knows how to use AI to make their life easier by having it write actual technical tools for them and someone who just thinks it's neat that they can have it look up emails or documents. In the medium term, I have a feeling the latter ones will be the ones most easily replaceable by more capable and reliable LLMs.
The technology still fucks up on daily basis, so for me the best way of using it is use it for what it's best at, coding, and use it to code things that you can QA yourself and then continue using it forever, instead of paying for tokens every day so LLM can do your job for you.
I really disagree with image and document generation tho, Claude has been pretty amazing at creating SVGs for our documentation, flowcharts, network and infrastructure diagrams, if you are working on something for a while you just tell it when you need to present it and you get a full, very good looking (would take me days good looking) slide decks or simple animated HTMLs.
Image has also been amazing for a long time now, I did a lot of fun, custom wine labels for friends and customers, again, stuff that would take me days to get to the level of quality in Photoshop are done in a few prompts, I don't even need to post process it anymore because it does text, even Croatian very well, and I've never paid for one of these, all done with free Gemini or ChatGPT.
On July 24 2026 21:47 Jankisa wrote: It's hilarious that you are preaching how companies should use AI by dishing out the most generic, low level "just use n8n and zapier bro" and "connect it to your email dude" advice.
Each time you post you reveal how surface level your approach is.
I guess I'll just have to ignore your post due to horrific lack of formatting and honestly level of comprehension when you try to talk about things you obviously know very little about that makes them completely unreadable. Doesn't matter if its economic, politics, climate change or crypto, it's all just vibes and aimless context switching.
Not that different albeit slightly less schizofrenic then Jimmy.
Actually, connect to your e-mail is a surprisingly complex use case in some company settings. You often have group e-mails (think support e-mail boxes) and chatgpt doesn't connect to those in our setup. So you as a normal user would have to work past restrictions in place to make progress.
It is stuff like this that makes me feel AI is still in the early adopter phase for non IT people in a company setting. Anything you try to do runs into access issues as the pipelines to do things easily aren't setup.
If you just want it to summarize a text it can do that, though sometimes you have to download it and feed it to the AI since it can't access the file storage. If you want it to generate a picture or subpar powerpoint it can do that as well.
These productivity "hacks" and stuff, to me, can be useful but overall they aren't going to make you that much better at your job, in a lot of cases, it's quite the opposite.
Generally, my rule of thumb is that if you really need LLM help to find your emails kind of means you don't have great organizational skills, if you need it to find you SharePoint or similar documentation, it again means that this is not well organized.
We have bookmarks, notebooks, reminders, to do lists, all of this has kind of been addressed and I really don't see why would I need to give all this access to an LLM that can still fuck up and hallucinate something just so I can shave a few seconds off of a task that takes a few minutes anyway.
The fact that you need to spend a lot of time setting it up and then ironing out kinks like Shared Mailbox access and similar are just extra reasons why this is not attractive to me, plus, I've been interviewing people for 2 positions and you can kind of tell a difference between a technical person who knows how to use AI to make their life easier by having it write actual technical tools for them and someone who just thinks it's neat that they can have it look up emails or documents. In the medium term, I have a feeling the latter ones will be the ones most easily replaceable by more capable and reliable LLMs.
The technology still fucks up on daily basis, so for me the best way of using it is use it for what it's best at, coding, and use it to code things that you can QA yourself and then continue using it forever, instead of paying for tokens every day so LLM can do your job for you.
I really disagree with image and document generation tho, Claude has been pretty amazing at creating SVGs for our documentation, flowcharts, network and infrastructure diagrams, if you are working on something for a while you just tell it when you need to present it and you get a full, very good looking (would take me days good looking) slide decks or simple animated HTMLs.
Image has also been amazing for a long time now, I did a lot of fun, custom wine labels for friends and customers, again, stuff that would take me days to get to the level of quality in Photoshop are done in a few prompts, I don't even need to post process it anymore because it does text, even Croatian very well, and I've never paid for one of these, all done with free Gemini or ChatGPT.
For me the group mailboxes are for support cases. Think classical chat bots extended. Handle all the easy e-mails automatically and then forward the hard cases to people. If you have a lot of cases per day that adds up to a lot of hours per year spread over the people managing that flow.
I have not had good experience with presentations. I do them rarely so the 2-3 times I asked it to do it for me it failed to respect company fonts, colors and templates. Content and layout was so-so as well. Ended up just doing it myself since the time to figure out the correct prompting and feed-backing it is longer than just doing a rare task.
One use case we talked about was automatic translations on the application side. Since translations are pretty good now a days when you give it context you can support more languages without having to do all the work with language "files". If caching that every release it shouldn't be very expensive and perform better than the translation inside the browser which fails on the context or understanding which areas to translate vs not.
As I said, I can see usecases for image, text and IT (plus IT supported process automation for simpler tasks). I have a harder time seeing it outside of there since things are still too locked down to get things done. If you don't have an AWS account to host the application on it will end up local on your computer etc.
I don't know the degree to which it is fair to link this video on a trial against Google in this thread but at least for me it was worth watching, maybe others will be interested too
On July 24 2026 21:47 Jankisa wrote: It's hilarious that you are preaching how companies should use AI by dishing out the most generic, low level "just use n8n and zapier bro" and "connect it to your email dude" advice.
Each time you post you reveal how surface level your approach is.
I guess I'll just have to ignore your post due to horrific lack of formatting and honestly level of comprehension when you try to talk about things you obviously know very little about that makes them completely unreadable. Doesn't matter if its economic, politics, climate change or crypto, it's all just vibes and aimless context switching.
Not that different albeit slightly less schizofrenic then Jimmy.
Actually, connect to your e-mail is a surprisingly complex use case in some company settings. You often have group e-mails (think support e-mail boxes) and chatgpt doesn't connect to those in our setup. So you as a normal user would have to work past restrictions in place to make progress.
It is stuff like this that makes me feel AI is still in the early adopter phase for non IT people in a company setting. Anything you try to do runs into access issues as the pipelines to do things easily aren't setup.
If you just want it to summarize a text it can do that, though sometimes you have to download it and feed it to the AI since it can't access the file storage. If you want it to generate a picture or subpar powerpoint it can do that as well.
These productivity "hacks" and stuff, to me, can be useful but overall they aren't going to make you that much better at your job, in a lot of cases, it's quite the opposite.
Generally, my rule of thumb is that if you really need LLM help to find your emails kind of means you don't have great organizational skills, if you need it to find you SharePoint or similar documentation, it again means that this is not well organized.
We have bookmarks, notebooks, reminders, to do lists, all of this has kind of been addressed and I really don't see why would I need to give all this access to an LLM that can still fuck up and hallucinate something just so I can shave a few seconds off of a task that takes a few minutes anyway.
The fact that you need to spend a lot of time setting it up and then ironing out kinks like Shared Mailbox access and similar are just extra reasons why this is not attractive to me, plus, I've been interviewing people for 2 positions and you can kind of tell a difference between a technical person who knows how to use AI to make their life easier by having it write actual technical tools for them and someone who just thinks it's neat that they can have it look up emails or documents. In the medium term, I have a feeling the latter ones will be the ones most easily replaceable by more capable and reliable LLMs.
The technology still fucks up on daily basis, so for me the best way of using it is use it for what it's best at, coding, and use it to code things that you can QA yourself and then continue using it forever, instead of paying for tokens every day so LLM can do your job for you.
I really disagree with image and document generation tho, Claude has been pretty amazing at creating SVGs for our documentation, flowcharts, network and infrastructure diagrams, if you are working on something for a while you just tell it when you need to present it and you get a full, very good looking (would take me days good looking) slide decks or simple animated HTMLs.
Image has also been amazing for a long time now, I did a lot of fun, custom wine labels for friends and customers, again, stuff that would take me days to get to the level of quality in Photoshop are done in a few prompts, I don't even need to post process it anymore because it does text, even Croatian very well, and I've never paid for one of these, all done with free Gemini or ChatGPT.
1. N8N and zapier are some of the most useful tools in the market out there, it's cross platform automation. with or without AI, it's one of the most important tools you can have. Especially for my company and department scale. offshore vendors, over 5 platforms, multiple languages etc.
2. Shared mailbox exists in majority of business, especially once they reach medium scale.
3. >We have bookmarks, notebooks, reminders, to do lists, all of this has kind of been addressed and I really don't see why would I need to give all this access to an LLM that can still fuck up and hallucinate something just so I can shave a few seconds off of a task that takes a few minutes anyway. -You need to rank the complexity of task and your model quality. Maybe last year hallucination risk would have been more concerning, even with cheapest free model this doesn't really happen anymore. Try running edge AI like gemma 4 E2B on your phone to do reminders and to do list.
The idea is you can do things better, unless you like to write about meeting agenda, transcripts and action plan.
4. >a technical person who knows how to use AI to make their life easier by having it write actual technical tools for them and someone who just thinks it's neat that they can have it look up emails or documents. In the medium term, I have a feeling the latter ones will be the ones most easily replaceable by more capable and reliable LLMs. -It's both the low-level operation to high level integration that works for everyone. And again, it doesn't even need AI integration itself. Efficiency gain is to put human expertise at the right place, not "I could have done it myself".
5. >Image has also been amazing for a long time now, I did a lot of fun, custom wine labels for friends and customers, again, stuff that would take me days to get to the level of quality in Photoshop are done in a few prompts, I don't even need to post process it anymore because it does text, even Croatian very well, and I've never paid for one of these, all done with free Gemini or ChatGPT. -How did you generate custom wine labels for production? Claude cannot produce cmyk/pantone colour ready files for printing? We get a lot of AI generated files and designers have to redraw it pretty much.
I played with n8n and in my opinion, AI makes it obsolete.
You can self host and schedule whatever you want, if you are serious business building a specific use case automation for yourself, if you know what you are doing should be trivial, all the big software platforms offer APIs, you can do all of this yourself instead of having to rely on N8N.
3 years ago, yeah, not so easy, now, with all the coding agents and levels of tasks they can achieve, there is no point in paying for a 3rd party tool.
Using shared mailbox for support or similar tasks is a very "I have a team and it's basically me and maybe one more guy" type of deal, for any real business, you can't have a reliable support, sales or any similar workflow using them, again, building a small, easy to use ticket system (or using one of the many open source ones) is a much better way to organize things, and with those you have way better ways to have an LLM respond and work within those constraints then to give it access to a shared mailbox
Hallucinations are a thing and a problem, of course, if you are using a small LLM with a very limited data set, there is no need for it to hallucinate, but even frontier models do it all the time:
Best knowledge reliability index: Claude Fable 5 - index 40 on AA-Omniscience (July 2026), the new leader by 7 points over Gemini 3.1 Pro (33). The lead is driven by record 61% accuracy, not low hallucination - Fable 5 still fabricates 54.9% of the time when it answers and doesn't know.
Again, saying that "hallucinations don't really happen anymore even with cheapest free models" really doesn't give me confidence that you understand this space at all.
I'm sorry but I don't understand what you are even trying to say with 4. so I'll skip that, also, maybe ask AI to help you with TL formatting.
For number 5, I'm not printing this for a supermarket, as I mentioned these are mostly "custom wine labels for friends and customers", no one cares or will take a magnifying glass to try and find pixelization or give me a lecture on DPI or color grading, these are for fun.
Claude also sucks with image, as I mentioned I use the free models, there are also very good upscalers that I run locally if I want higher DPI. Anyone telling you they can't print something because cmyk or whatever are just being pretentious.
On July 24 2026 21:47 Jankisa wrote: It's hilarious that you are preaching how companies should use AI by dishing out the most generic, low level "just use n8n and zapier bro" and "connect it to your email dude" advice.
Each time you post you reveal how surface level your approach is.
I guess I'll just have to ignore your post due to horrific lack of formatting and honestly level of comprehension when you try to talk about things you obviously know very little about that makes them completely unreadable. Doesn't matter if its economic, politics, climate change or crypto, it's all just vibes and aimless context switching.
Not that different albeit slightly less schizofrenic then Jimmy.
Actually, connect to your e-mail is a surprisingly complex use case in some company settings. You often have group e-mails (think support e-mail boxes) and chatgpt doesn't connect to those in our setup. So you as a normal user would have to work past restrictions in place to make progress.
It is stuff like this that makes me feel AI is still in the early adopter phase for non IT people in a company setting. Anything you try to do runs into access issues as the pipelines to do things easily aren't setup.
If you just want it to summarize a text it can do that, though sometimes you have to download it and feed it to the AI since it can't access the file storage. If you want it to generate a picture or subpar powerpoint it can do that as well.
These productivity "hacks" and stuff, to me, can be useful but overall they aren't going to make you that much better at your job, in a lot of cases, it's quite the opposite.
Generally, my rule of thumb is that if you really need LLM help to find your emails kind of means you don't have great organizational skills, if you need it to find you SharePoint or similar documentation, it again means that this is not well organized.
We have bookmarks, notebooks, reminders, to do lists, all of this has kind of been addressed and I really don't see why would I need to give all this access to an LLM that can still fuck up and hallucinate something just so I can shave a few seconds off of a task that takes a few minutes anyway.
The fact that you need to spend a lot of time setting it up and then ironing out kinks like Shared Mailbox access and similar are just extra reasons why this is not attractive to me, plus, I've been interviewing people for 2 positions and you can kind of tell a difference between a technical person who knows how to use AI to make their life easier by having it write actual technical tools for them and someone who just thinks it's neat that they can have it look up emails or documents. In the medium term, I have a feeling the latter ones will be the ones most easily replaceable by more capable and reliable LLMs.
The technology still fucks up on daily basis, so for me the best way of using it is use it for what it's best at, coding, and use it to code things that you can QA yourself and then continue using it forever, instead of paying for tokens every day so LLM can do your job for you.
I really disagree with image and document generation tho, Claude has been pretty amazing at creating SVGs for our documentation, flowcharts, network and infrastructure diagrams, if you are working on something for a while you just tell it when you need to present it and you get a full, very good looking (would take me days good looking) slide decks or simple animated HTMLs.
Image has also been amazing for a long time now, I did a lot of fun, custom wine labels for friends and customers, again, stuff that would take me days to get to the level of quality in Photoshop are done in a few prompts, I don't even need to post process it anymore because it does text, even Croatian very well, and I've never paid for one of these, all done with free Gemini or ChatGPT.
1. N8N and zapier are some of the most useful tools in the market out there, it's cross platform automation. with or without AI, it's one of the most important tools you can have. Especially for my company and department scale. offshore vendors, over 5 platforms, multiple languages etc.
2. Shared mailbox exists in majority of business, especially once they reach medium scale.
3. >We have bookmarks, notebooks, reminders, to do lists, all of this has kind of been addressed and I really don't see why would I need to give all this access to an LLM that can still fuck up and hallucinate something just so I can shave a few seconds off of a task that takes a few minutes anyway. -You need to rank the complexity of task and your model quality. Maybe last year hallucination risk would have been more concerning, even with cheapest free model this doesn't really happen anymore. Try running edge AI like gemma 4 E2B on your phone to do reminders and to do list.
The idea is you can do things better, unless you like to write about meeting agenda, transcripts and action plan.
4. >a technical person who knows how to use AI to make their life easier by having it write actual technical tools for them and someone who just thinks it's neat that they can have it look up emails or documents. In the medium term, I have a feeling the latter ones will be the ones most easily replaceable by more capable and reliable LLMs. -It's both the low-level operation to high level integration that works for everyone. And again, it doesn't even need AI integration itself. Efficiency gain is to put human expertise at the right place, not "I could have done it myself".
5. >Image has also been amazing for a long time now, I did a lot of fun, custom wine labels for friends and customers, again, stuff that would take me days to get to the level of quality in Photoshop are done in a few prompts, I don't even need to post process it anymore because it does text, even Croatian very well, and I've never paid for one of these, all done with free Gemini or ChatGPT. -How did you generate custom wine labels for production? Claude cannot produce cmyk/pantone colour ready files for printing? We get a lot of AI generated files and designers have to redraw it pretty much.
I don't think he produced wine and bottled it himself with a custom label printer but send a png to some winery where you can order wine with custom labels...
I work for some architects and honestly the level and quality of architectural visualisations I get out of Gemini in 5mins is ridiculous