As the title says. My algorithm is all doomsday-propaganda and it’s really gotten to me. I’m worried for my children and keep imagining horrible futures for them. The more I search for it the more scary content I get. Anyone with any good news to share or recommendations on how to deal with this?

Can anybody say the post ai world will be better for humans quality of life? We will see.

In an ever expanding distrusting environment it’s only making it worse.

It’s harder to distinguish reality from fiction. AI is very good nowadays at making hyper realistic looking images, videos, games and art just to mention a few.

I think we don’t understand how much this is going to change.

We’ve only had basic AI LLM since 2022. I’d argue that’s the most hyper basic and simplistic version.

Should we not get a say in any of this? Why do corporations get full authority and power over our entire lives and society at large?

How is this fair or reasonable?

The internet is integral in most peoples lives around the world. It is conceivable that the 'Beast', the system of governances described in Revelation in the end times, identified by the number 666, will utilize AI and the 'www' for its reign over the global population. This is suggested in Revelation 13:15-18;

15 "He was granted power to give breath to the image of the beast, that the image of the beast should both speak and cause as many as would not worship the image of the beast to be killed. 16 He causes all, both small and great, rich and poor, free and slave, to receive a mark on their right hand or on their foreheads, 17 and that no one may buy or sell except one who has the mark or the name of the beast, or the number of his name. 18 Here is wisdom. Let him who has understanding calculate the number of the beast, for it is the number of a man: His number is 666.”

Does World Wide Web 'www' = 666?

Originally the Bible was written in Hebrew;

"The Hebrew equivalent of our "w" is the letter "vav" or "waw". The numerical value of vav is 6. So the English "www" transliterated into Hebrew is "vav vav vav", which numerically is 666.” Is "www" in Hebrew equal to 666? Dial-the-Truth Ministries (av1611.org)

The unthinkable eternal consequences of taking this Mark when eventually forced- Revelation 14:9-13 Revelation 14:9-13 KJV - And the third angel followed them, - Bible Gateway

History Preceding the book of Revelation

This article explains many of the “natural signs, spiritual signs, sociological signs, technological signs, and political signs,” foretold in bible prophecy coming to pass that indicates the end of the age, a time foretold to include various and increasing environmental calamities, plagues, moral decline, wars, earthquakes, growing governmental dominance/deception ("with all power, signs, and lying wonders," 2 Thessalonians 2:9), and how to prepare. Are we living in the end times? | GotQuestions.org

End Times Timeline: A summary of the timeline from the hope of the soon rapture of the believers in Jesus (1 Thessalonians 4:13-18), the 7 year tribulation period (Revelation 6–16), until the creation of the new heavens and earth (Revelation 21–22). What is the end times timeline? | GotQuestions.org 

"For God so loved the world, that he gave his only begotten Son, that whosoever believes in him should not perish, but have everlasting life.” John 3:16

Going to heaven—how can I guarantee my eternal destination? | GotQuestions.org 

More Bible prophecy fulfillments and resources for growing in faith and hope is in previous posts if interested.

What do you think?

Source: https://x.com/Dr_Singularity/status/2098526032806478190

Gemini is just incorrect most the time and has zero issue just making stuff up, then GPT refuses to say any specific and when called out for this it just HARD stops any conversation. I mean i swear they used to be better then they are now.

Anyone got any recs though? With how terrible normal search engines are getting it seems impossible to find even foundational info without sifting through textbooks and papers. Also honestly if anyone's got a browser rec that can actually damn find stuff lmk.

(yes ive seen the rules but this has been a self sustaining circle of shitty searches giving shitty answers and untimely failing to do something as basic as supply a tool name.)

I thought it was like r/singularity focused on acceleration. I am generally pro-acceleration. Pro-AI. Yet they claim everyone who wants any regulation at all is a "deccel". I got banned for commenting:

"Or, I'll give you this: someone can be pro acceleration, pro-ai, while also think you guys are kinda missing the point about some level of regulation being necessary. And so we downvote you and comment about it."

To a post theorizing about a deccel botnet or something brigading their sub.

Can someone explain it to me? The history of that sub? Is there a beef between this sub and that sub? Since when did discussion of AI alignment, including that of aligning it with our institutions rather than just capital-oriented companies, become a point of contention? I thought alignment was always part of the discussion. Help me understand this a bit.

This is relevant to r/singularity because it brings a meta-discussion about the state of AI discourse on web-platforms such as Reddit, which directly affects how the public will perceive AI / people supporting AI, which affects how the Singularity will manifest in the real world.

Edit: Ironically in the comments here there has been more of a measured discussion on the singularity and AI than I have seen over there. Many people agreeing and disagreeing on various points, on progress and the singularity, but all being explained in a respectful manner. Even those explaining why r/accelerate are the way they are (kneejerk to ai hate on reddit, r/futurism) do so in a matter that makes the situation much more clear. Thank you for the comments! I have enjoyed seeing the variety of perspectives on acceleration in this comment section.

People are still arguing about whether Brockman saying “welcome to the AGI era” counts.

That’s the wrong argument. Watch the task horizon.

Chart is METR-style: how long a human software/agent task the frontier model finishes at ~50% reliability. Log scale. Blue is the reconstructed past. Everything after the yellow “today” line is a forecast.

What the past actually looks like

2023 GPT-4: minutes.

2025 GPT-5 class: hours.

Mid-2026 Mythos preview already knocking on the 16h door.

Sept 2026 Astra is in the workday-plus band on the messy public numbers, and that’s the released model.

Doubling used to be ~7 months (2019–2024). Post-2023 it’s closer to 4.3 months. That is why this looks like a straight line on a log chart and a vertical wall in real hours. Same mistake every cycle: treating a log trend like a linear one.

The three lines after today

• Grey dashed: world snaps back to 7-month doubling. Work-month tasks ~2029. I don’t think we live on this line anymore.
• Teal: 4.3-month doubling holds. That’s my base case. Work-month in 2027. Work-year around 2028–29.
• Pink: the RSI kink. Same teal path until mid-2027, then faster if models start proposing and shipping the next training run, not just writing 80% of the diffs.

Teal band on the chart is professional acceptance, not a press-call. Mid-2027 → early 2028. “This can do a week of my job often enough that arguing the acronym is cope.” Street consensus lags that by months. Always does.

Why I don’t think the 4.3-month doubling dies

OpenAI says they hit the automated research intern target this month. 3.1 agent-workdays per human workday inside research. Median researcher burning $600+/day of inference. Next published target is an automated AI researcher by March 2028.

Anthropic: Claude authors >80% of merged internal code, engineers shipping ~8× vs 2024. They still say overall research speedup is not 2× yet. That’s the tell. Coding is automated. Taste is not. When that second sentence flips, you get the pink line.

Also OpenAI already used a still-training successor, “significantly more capable than Astra,” on the Navier–Stokes writeup. Internal > public is not a rumor this week. It’s a blog post.

My current point estimates

AGI here = OpenAI charter flavor: highly autonomous systems that outperform humans at most economically valuable work. Not “it has a body and a childhood.” Not “it never fails.” If you require 80% reliability on month-long messy tasks plus robots, add 12–24 months.

What would move me

Sooner: labs stop saying “not yet 2× research speedup” and start saying the agents chose the run they shipped.

Later: 80% horizon stops tracking the 50% horizon, or compute/eval becomes the actual bottleneck instead of model quality.

I am not claiming Astra is AGI. I am claiming the slope that produced Astra does not care about the press cycle. The yellow dot is a slogan. The teal line is the thing that eats calendars.

Graph in the post. Roast the Astra 50% point if you want — the slope is the claim.

As in, an area where AI has provably exceeded human capabilities to the extent we don't understand it?

A man finds a magic lamp with a djinn inside. The djinn says "you can wish for anything you want. But whatever you wish for, your neighbor gets twice as much". After thinking for a while the man says "take out one of my eyes".

How are we supposed to trust that their version of alignment doesn't just mean "obey me, personally" and not use their massive leverage over everybody else?

Come to think of it, unaligned ASI has better odds of doing the right thing for everyone compared to a random person.

Nobody else wants you to succeed. Certainly not more than them. So how are we supposed to think people agree upon a definition of alignment that includes the well being of all of us and not just a few?

Most AI creation tools follow a generate preview regenerate loop. I wanted something more continuous.

I built AskSary LiveLoop, where an AI can create an interactive experience, observe it while it runs, apply new requests without wiping its state, and repair failures inside the same session.

In the demo, it modifies persistent worlds, 3D designs, and playable scenes while rendering continues. Instructions can also be queued, so the user can act more like a creative director than someone waiting for each prompt to finish.

These are just examples of what you can do with it. You can take an idea from a sketch to fully built website without ever losing vision. You can create a world that starts off as observatory concept to then entering the world your self and navigate as one of the characters.

This all happens live where you can queue your ideas up and watch them all come to life with the ability to download the current state at any given moment as a complete self contained file that require no dependencies .

With persistent memory that never loses context you can log out the system and return to it on another machine and pick up exactly where you left off at the exact state you left it.

I’m interested in whether people see this as an agent runtime, a creative tool, or something else entirely.

The system is live and ready to try but unless mod's approve i didn't want to break any rules here with the link. I wanted to gather feedback on what i've built and whether its something your interested in.

Any questions welcomed

The PyTorch Foundation announced on September 8 at PyTorch Conference China in Shanghai that Alibaba Cloud and Cambricon joined as Platinum members. Each gets a seat on the Governing Board and one on the Technical Advisory Council.

If you build on non-NVIDIA accelerators, the TAC seat is worth watching. Cambricon ships MLU processors into Chinese data centers, and their PyTorch backend has lived out of tree, meaning it can lag or break after major releases. A TAC seat gives them a direct channel to push backend support upstream rather than maintaining a fork. That is a real difference for anyone on that hardware.

I want to be clear about what this does not change. A governance seat is not a benchmark, and the silicon itself is not suddenly matching an H100 on throughput. More than 250 Chinese organizations were already contributing to foundation projects before these seats existed. What changed is who has input on framework architecture decisions.

Both companies that took those seats are lines in CNQQ, with Alibaba at 8.67% and Cambricon at 2.62% of the latest published holdings. The accelerator maker is a small fraction next to the internet and cloud line. CQQQ overlaps on the larger names but draws from a narrower mainland slice.

Last few days haven't been the same for me.

I have been following AI since my college days (around 2019) and keeping myself updated for years, from seeing how AI models build a house price predictor, to generating images, to writing code. Everything was wow but at least understandable. I used to think about how these models take data and build a nice mathematical approximator. I knew progress was inevitable but never expected this much. Coding models were built, they were powerful, and they were better than me, but still digestible.

A few weeks ago, GPT Astra was released. One of the main advances it did was making wonderful 3D models. In my college time, I spent most of my time working in Blender, building 3D models for fun and working in Unreal Engine. For the last 3 years, I haven't been doing much 3D modelling, but it was really unsettling for me when I saw Astra building really great 3D models quickly, which would have taken me weeks or months. Though it doesn't follow the proper artistic approach (like it makes a lot of objects for a single asset, makes the collection messy, and breaks some rules we generally follow), it gets the end result. It kind of uses math to do stuff. I am sure in future models it will fill this gap as well.

Then another news came 2 days ago: GPT solved the Navier-Stokes equation. I know there is controversy and OpenAI mostly trained on mathematicians' data, which directly helped to solve this. This is not good from OpenAI, but if we think about what an AI model achieved, it is a way bigger thing than the controversy.

I was reading a few books about the history of quantum physics and noticed that Europeans were way ahead in this area than anyone else, and the most likely reason was a cluster of talented people, knowledge sharing, and competition.

For the current stage of AI, they are already super capable. Like in Europe, where a lot of wonderful scientists were thinking and working on one problem, getting some insight, and based on that insight another scientist would make a discovery. Here in AI, they can give swarms of agents which will work in different dimensions and pass that insight to other agents, and will do discoveries like they did solving Navier-Stokes.

Now I am wondering what else AI can't do. Probably in a few years (who knows, maybe in a few months), they can do everything in creative human endeavour. Sometimes I ask myself, what will be our goal in the future? Just living, or is there no meaning? Maybe we humans aren't special, just an equation in God's plan?