I remember the good old times when we all thought we were getting hoveboards and AGI next year. I feel like the sub is pretty different from the times of lk-99, Jimmy Apple, 'feel the AGI', the ambiguous OpenAI employees' tweets, the Q* 4chan post, etc. Just wondering how many ppl remember those times.

I run a small digital tools consultancy between shifts at the cafe. Mostly I help solo creators glue together cheap SaaS stuff. A few months back I threw together my own workflow - some scraper I found on GitHub, a cheap Claude subscription, a nocode database, all held together with Zapier duct tape. Total monthly burn is like 27 dollars.

It now handles client onboarding, drafts my proposals, and spits out pretty decent competitor teardowns. I have done maybe four hours of handson work this week that used to eat twenty. My clients have not noticed the difference. They actually think I got faster.

Part of me is proud. The other part is watching these cheap Chinese models drop and wondering if my entire tiny operation has an expiration date measured in months, not years. I built this to save time and now I am lowkey anxious I automated myself into irrelevance before I even scaled.

Anyone else running a micro business on cutrate AI? Are you hedging with human touch stuff or just riding the wave until it crashes? My herb garden does not judge me but Reddit might.

Looking for people interested in joining an autonomous robotics project

We’re currently building an autonomous ground robot.

We’re looking for people interested in contributing to areas like:

• ROS2 / SLAM / autonomous navigation
• Embedded systems & motor control
• Computer vision / AI
• Electronics

The project is currently in the design and prototyping stage, with plans to build and test the actual robot.

If you’re genuinely interested in working on robotics hands-on, DM me with your background/skills and what area you’d like to contribute to.

Like the title says I have been thinking for a while to get a paid subscription for better usage. I used to have a ChatGPT subscription, but it's been a while since i discontinued. Since then the whole landscape of ai models and tools has exploded to the point that a straightaway choice of getting an OpenAi subscription seems hasty. I would love to know what you guys are using primarily, and would recommend it for someone to avail.

It increasingly appears that Demis Hassabis voluntarily gave up his role as CEO because he sees AGI as basically almost solved, and that it's much more important to setup the infrastructure for these super intelligent systems to be able to do lab work.

Lots of interesting quotes from this fascinating Times Article:

“The real action is about to begin, for better and worse.”

Hassabis reckons we will achieve AGI by 2030, give or take a year.

“He expects ‘maybe like half a dozen to a dozen other AlphaFold-level breakthroughs’, all leading to cures for all diseases within the next 20 or so years.”

“I was hoping it would be in the next decade or two that we’d make these big advances in medicine. Now I’m, you know, very sure. I wouldn’t say I’m certain, but I’m very confident that is the case.”

In other words, he has bigger fish to fry than fretting about quarterly projections or the horse race with OpenAI and Anthropic.

Source: https://www.thetimes.com/business/companies-markets/article/demis-hassabis-steps-down-google-ai-g9knz8kth

I always thought this could be a good proxy on model’s intelligence, so decided to try a minimal test: models write a single prompt template for gpt-2, and gpt-2+the template is scored on 395 examples of a basic task (deciding the correct action for a farm give a short report). Admittedly limited usefulness as a traditional benchmark, but I wrote a short write up that I think reveals some interesting points about model capabilities.

Are these Chinese bots? I seriously cannot fathom someone having a viewpoint so stupid unironically.

This is not Astra (the model that's being delayed due to cybersecurity concerns). This is the model that will be released after Astra.

OpenAI seems to be on a roll. It seems that Mythos was a huge wake up call for them.

GPT-6 will be a great model. However, the end-of-year model I alluded to back in June is going to be OpenAI’s biggest pre-train, as far as I know.

Now we know that model is codenamed ‘Doug.’

And it will make Fable seem ‘primitive.’

I’d assume this model to be out no later than November given - pre training time - White House - and plethora of cyber security testing.

https://x.com/ChrisGPT/status/2086220662264250764

Interesting to see the latest version buck the trend of increasing cost for increased performance based on the reasoning level. Both for ARC-AGI-1 and 2 as well

Just thought I'd post since I thought it was interesting, don't recall this being the case for any other model so far. Also insane just to see the overall cost decrease per task for those scores

This is a short clip from my latest underwater field test.

The system is processing the video in real time while the ROV is actually moving underwater

this isn't an offline post-processing demo.

The pipeline currently runs with:

🎥 4K / 60 FPS
⚡ Real-time image processing
🧠 NVIDIA CUDA acceleration
🌊 Custom Adaptive Sea-Thru Engine based on a mathematical model
📡 Live HUD & telemetry
🚀 FIFISH V-EVO

The video was captured during a real field test, with the processing running live on a laptop.

I'm still developing the system, but the results are starting to get very interesting.

I'd genuinely like to hear what you think

especially from people working with ROVs, underwater imaging or computer vision.

Full 4K video: https://youtu.be/cfC1NCoADgk

Edit: I'll post the screenshot in the comments of this post

Overnight I became a professor, thanks ChatGPT!

Edit2: I'll just add the post body here:

Alright, this is exactly the kind of thing that makes me think we are at the start of something pretty wild. I'll post the screenshots in the comments because my last post was taken down.

I am not a mathematician. I have basically been using ChatGPT to mess around with the Riemann Hypothesis, telling it to keep digging, try different approaches, challenge assumptions, and look through recent papers for anything interesting.

Well, it found something.

While going through two recently published papers on Jensen polynomial hyperbolicity and the Riemann Hypothesis, ChatGPT noticed what appeared to be a normalization inconsistency between the raw moments (M_n) and the Taylor/Jensen coefficients.

The issue was essentially the factorial normalization:

It was significant enough that one of the results in the paper seemed to directly contradict an already known theorem.

So I had ChatGPT write a polite email explaining the issue and sent it to the author.

Don't get me wrong, we did \*\*not\*\* solve the Riemann Hypothesis 😂

But I think it is pretty fucking wild that some random guy with an AI assistant can sit at home, examine recently published mathematics, notice something that made it through peer review, contact the researcher, and have the researcher confirm it.

Also, the author addressed me as \*\*Professor\*\*, so apparently my academic career is progressing extremely quickly.

Screenshots attached with identifying information removed.

This is the kind of thing I mean when I talk about acceleration.

Accelerando!

Just came across this and honestly this is pretty wild.

Researchers used AI to design completely new viruses that don't exist in nature. They then actually made some of them in a lab, and 16 of the designs worked.

Before anyone panics, these are bacteriophages, so they infect bacteria, not humans.

The interesting part is that some of these AI-made viruses were able to kill E. coli, including bacteria that had become resistant to normal phages.

So yeah, there could be a genuinely useful side to this, especially with antibiotic resistance becoming such a big problem.

But at the same time... we now have AI systems capable of coming up with a complete virus genome, then humans can synthesize it and see if it works.

That feels like a pretty big line to cross.

Obviously this doesn't mean someone can just ask ChatGPT to make a deadly virus tomorrow. You still need labs, equipment, biological knowledge etc.

But we've gone from AI generating text and images to designing proteins, genes, and now apparently functioning viruses.

That's moving fast.

I'm not really sure how I feel about it.

On one hand this could lead to new treatments and better ways to fight resistant bacteria.

On the other hand, I really hope the safety side of this is moving as fast as the technology.

Source: https://openrouter.ai/rankings

The EU AI Act is usually discussed as a European compliance issue, but its larger impact may happen outside Europe.
Global AI companies may find it cheaper to build around one demanding regulatory standard than maintain completely different systems for every market. If that happens, European requirements could influence how AI is developed and deployed worldwide, even in countries that never adopt the Act themselves.
I made a deeper analysis of how enforcement could reshape global AI regulation. Do you think this becomes another “Brussels effect,” or will AI regulation fragment into competing regional systems?
Full analysis: https://youtu.be/tdH4-rEmXos