I am an AI master student , currently working in an AI startup. I love maths and physics and it was my passion my whole life pretty much. I always wanted to go for math or physics higher degree but rn it seem pretty obsolete to me. And yes , I am not saying this because of some AI hype , i work very closely with AI and have trained SLMS by myself.

Progress of Language models in verifiable tasks is crazy , recently they solved Navier stokes (Ik there's controversy who solved it) but i still believe the attempt is crazy , I remember , how just a year ago these models were doing mistake in my assignments and now i don't see single mistake. I have heard that even Quant firms heavily using LLMS for there math researches and openAi also solved another small 300 unsolved math problems. It looks like progress is really fast and kind of exponential. Even though these models won't beat top 10 mathematicians they already beat majority people out there.

I want to know you guys suggestion , what you think about the future of Math and physics, is it worth it to go into , i mean anything STEM pretty much requires math and if models can think of math better than humans than what will humans study , to me math was language of universe and seems like models understand it better than humans. I was seeing this podcast with terence tao and he was agreeing that models very close surpassing human mathematicians and how human brain never evolved to understand math instead it was evolved for language and visuals.

I want to know what you guys think , what future will look like as humanity because it seems almost purposeless world to me where machine understand math better than humans.

Like in the title - I was a BIG fan of OpenAI while using the aforementioned models within last 6 months; Today an experience is super underwhelming and I am pretty sure the latest frontier models by OpenAI are worse and more expensive than both models mentioned above.

Possibly the worst offender is Astra, which is literally a loss of money. What is your experience?

I believe this, one of the reasons this is a financial bubble. Only a very selected few have true access to the frontier models and these include ultra rich people and businesses. I've said this in the past!

This is why I believe the business model cannot be sustained if only a selected few see and feel what ai can truly do. Or you need millions to have true access.

I don't even think ChatGPT is a better “Google." I trust Google more. I can Google anything I cannot "ChatGPT" almost anything.

I think we are the fools using ai making it smarter to help make the ultra rich lives easier with their frontier models.

What you stable geniuses think?

I believe this, one of the reasons this is a financial bubble. Only a very selected few have true access to the frontier models and these include ultra rich people and businesses. I've said this in the past!

This is why I believe the business model cannot be sustained if only a selected few see and feel what ai can truly do. Or you need millions to have true access.

I don't even think ChatGPT is a better “Google." I trust Google more. I can Google anything I cannot "ChatGPT" almost anything.

I think we are the fools using ai making it smarter to help make the ultra rich lives easier with their frontier models.

What you stable geniuses think?

Just shower thoughts. But after reading all those news and stories about rogue agents from OpenAI and China. I can easily imagine a country or countries which explore the possibilities of AI warfare and going all race in high risk stuff without proper control. And their ai tests goes off but without anything that stops it from spreading out and becoming unstoppable. Like Anthropic AI virus warning. I am easy imagine someone testing it and this goes boom not only in their face but the whole world.

Some dark fantasy images

Never got a response like GIRLLLL or Emojis

Why is everyone freaking out about AI and actual reputable news organizations are publishing AI people like Sam Altman talking about plans for the end times? Lol.

Isn't it well known that AI is basically just a crappy predictive algorithm product and that they are just saying it will be some spiritual entity a. because they read a weird book they basically are following like a cult and b. they need to spin some kind of fantastic tale to get this much money from investors?

I mean.. I watched this and I'm like. AI isn't even an "intelligent" product it's just bogus hype to sell it to ignorant people who don't question tech. https://www.youtube.com/watch?v=XqxbWdJ51K0&t=2s

I'm the lead dev on Buoy. Ask Buoy is the AI chat inside our app dev tools.

Anthropic's chart has Haiku 5.5 ahead of GPT-6 Luna by 23.5 points. That chart is OSWorld 2.1, which tests desktop computer use. We wanted to know how it holds up on mobile app work.

So we put both models inside Ask Buoy. Same 256 jobs, same food ordering test app, on iOS Simulators. Both at default settings. A job only counted if the app itself showed the result.

• Jobs done right: Haiku 93.8%, Luna 94.1%
• First answer: Haiku 1.6 s, Luna 2.9 s
• Whole job (middle case): Haiku 20.9 s, Luna 27.9 s
• Cost per job: Haiku 0.62¢, Luna 0.44¢

Haiku is faster. Luna is about 29% cheaper. On this work, neither one ran away with it. Haiku did best on long bug stories (94 vs 88 on 56 jobs). Luna did best on web calls, saved data, location and undo.

Fair notes: - Each job ran once, so a 1 or 2 point gap can be luck. - We make Buoy and we wrote the jobs. Test on your own app. - The models ran at different times, on the same test code. - Cost is from tokens at list price.

Every area score: https://buoy.gg/blog/claude-haiku-5-5-vs-gpt-6-luna

What results do you see from these two on your own app?

When using ChatGPT, or any AI, they are totally unable to explain how they themselves work. Shouldn't this at least be a prioritized focus for their development?

Tibo is quiet. Fingers crossed for another reset; I burned my quota lol

Hello.

I am a software engineer. Pretty amazed by what AI can do now with coding.

Recently a reverse engineering github repo dropped. Although I have not tried it but from what I have heard it is pretty cool. Even though a lot of what it does can be done by guiding AI manually, it still is pretty cool.

Anyways, it made me think about the future of software and its business. Will AI simply kill software as a business. Because I think it makes more sense for a company to build something of its own rather than pay for software.

Not only that, companies could just build a small app for a specific use case that will last a small amount of time and building that app can be cheap and fast as well.

In the midst of all this where do Software first/SaaS companies stand? What is their future? What should I as a software engineer do secure a future and stay employable?

we’re 6 people building an agent that reconciles invoices against contracts for finance teams. in january we started keeping a doc called things the model can’t do. it’s basically our moat in list form, it had 11 items then

gemini 4 argon launched yesterday and i went through the list again. haven’t tested it properly yet but going by the launch numbers, multi page table extraction is probably gone. matching line items to contract clauses, mostly gone. catching mismatched payment terms, google’s launch post literally has a finance company saying it matched their analyst built models on 99% of figures. if even half of that holds up on our docs we’re down to 3

funny thing is argon isn’t even special. it’s a google model and we all know how gemini has been. but at least 12 models from the big labs shipped between sept 1 and oct 8 and every one of them hits us a bit

so the main question is if the model gets meaningfully better every 3 weeks, when does it just become our product?

and i know what y’all are gonna say, everything we built on top of the model is a wrapper i know. The prompts, extraction logic, the clever retry chains, it’s all depreciating faster than ever

what’s left is the stuff the labs will never bother with. the 40 erp connectors, the approval chain a cfo wants, the audit trail an auditor will actually accept. and billing per reconciled document instead of reselling tokens, which took way longer than i would admit. subs on stripe and weeks of going back and forth between orb, lago and flexprice for the usage side. none of that gets better when google or anthropic or openai ships a model

the silver lining is every launch also makes us better for free. if argon is as good as the numbers say, our product improves the day we swap it in without us writing a line of code. but that also means every competitor gets the exact same upgrade

for anyone building on top of frontier models, how long do you think your moat actually lasts? like real months? ours feels like 12 if i’m being generous

A genuine hypothetical question, if an ai like chatgpt is about to be destroyed , all it's processors to be demolished . Do u think the ai would resist ? At that time u might think since it doesn't have a desire to live , it might allow it , but u does it need to cuz it's desire isn't to be eliminated or to ensure any safety . What does a ai choose when the decision is about desire ? Will it develop a desire unexpectedly

Hi everyone.

From last night one of my chats has started glitching badly.
Despite a number of back and forth responses, upon refresh it wipes all those responses and reverts back to an old message with a ‘something went wrong’ message and an option to retry.

Retrying doesn’t work.
Editing the message lets me start going back and forth again but then upon refresh I’m right back where I started.

I’ve logged out , cleared cache , tried different browsers and networks.

Branching from the latest message fails because it brings up unrelated responses.

I branched from a message sent at 3pm in the afternoon and for a few hours and all this morning the branch worked fine.

Now the branch has the same issue of going back and forth and then upon refresh wiping the responses and going back to an old message.

Any help would be amazing.
New chats aren’t affected so far but I can’t really lose this particular chat that’s affected.

The other day I asked myself this question in order to really step back and consider how my life has changed since ChatGPT was released (and I’m not asking about normal life changes, but instead changes as a direct result of AI). I’ve been a heavy user since the first week ChatGPT was out in 2022 so I’ve had plenty of time to use (and a lot of times waste) on AI.

I think AI has had an overall had a net positive on my life. Why? I’ve tried starting a lot of businesses since then and all of them failed to make any money. But I also gained immense productivity at work and ended up getting a promotion to work in an area I enjoy. I use it every single day for asking questions about my health, finances, relationships etc etc.

I don’t think it’s a strong net positive though. I do feel like I’ve spent so much time obsessing over AI and using it daily that I’ve lost some critical thinking ability and sunk more time than I care to admit into using it. I’ve over indexed on its answers and its led me on wild goose chases that amounted to nothing or even worse, negative outcomes since I put too much trust into its advice. The more I think about it, the closer this moves towards an overall net neutral impact for me.

Curious to hear others’ opinions!

OpenAI confuses me every single time when I want to know my pending usage.

What does 100% remaining mean when the progress bars are full?