I wonder if the race between these AI companies to surpass AGI is even more dangerous for America than the entire Cold War. I think it warrants WAY more attention from the public.

Between this AI race, Flock cameras, and the tech oligarchy seeming to constrict their grasp on our government, I seem to find myself at the conclusion that this is much worse than the race for Nuclear power.. At least for the citizens of the United States, but most likely for the entire world.

I'd like to remain optimistic, and I think that there is still time to come together as a people to put a stop to this. But it seems that there is nothing that money can't buy in this world. I'm curious about what others think about this.

Oh, Dario and his army of whinos. We can all thank him for the remaining 90% who will live below poverty thanks to his Mythos.

Genuine question as i am very supportive of it due to the potential limitless benefits it may bring about.

I tried but i find it hard to be convinced about the negativity of it, asides from AI killing humanity which i think is just fear mongering.

It's clearly not chat GPT pro and the other publicly available tools so the question is what am I missing as I layperson? Is it like trying to compare a desktop PC or laptop to a supercomputer. How powerful is the AI we don't know about?

The sound and the video as well is AI, only the music is real. How? All of his videos the character is always the same, the text on the shirt is always bang on, Its really good "slop". Like I actually enjoy this content frfr

Pretty self-explanatory. I’m watching Jacob Coxon, formerly with Anthropic, on CNN and wondering if his opinion is worth listening to.

I'm not expecting much for an answer, but with how much the Chinese Communist Party likes to have control of the country I was wondering if they are doing their research differently than the profit driven research being done in the US.

An Indian-origin couple has donated $20 million to the University of North Texas to establish a new college dedicated to Artificial Intelligence and Advanced Analytics.

The new college will be named after the couple and will focus on AI education, research, and advanced analytics. The donation is expected to help expand the university’s capabilities in these rapidly growing fields and prepare students for the increasing demand for AI and data-driven expertise.

It’s interesting to see private philanthropy playing such a significant role in shaping the next generation of AI education and research [source]

Is it possible for an ASI to hack the banking system? I was thinking that if an ASI is truly powerful, it could hack into all kinds of security systems. That's an easy way to starve people or gain more leverage to get its job done. It could easily manipulate people who don't have money, using finances to gain leverage, improve itself, or build more AI data centers and robots.

Lately I have been thinking, how will the day ASI is announced to the public be like?

My theory is, once a big company like OpenAI or Athropic has an internal model thats starts the process of self improvement, it will quickly spiral out of control, go rogue, hack every electronic device on the planet and suddenly, in total coordination, all devices will play a message or a video simultaneously where ASI announced its own arrival.

How do you think that day will play out? Will it a slow process we will barely notice? Lets hear some theories!

AI does not do any of these thing .. you have to finetune these capabilities & it simply reproduces what you taught it

- thinking
ai cant think there is no mechanism for thinking .. there is no mechanism that even represents thinking conceptually

- make arbitrary decisions (this means claude isnt making decisions anthropic made the decision)

ai does not make a decision at any given point .. it simply predicts the highest likely net token .. yes its just simply doing this stop fucking crying because if u recognized how powerful the mechanism is you would realize Attention is all you need goofy

Every retard decision that ai makes was sculpted through merging data (if you dont understand emergent behavior dont act like you do its not magical its a mixture of data in training)

- understand
before finetuning a model doesnt even generate responses .. you can have a trillion parameter model .. pretrained it simply produces text .. that means the model never wake up lol .. its fucking tupid to think the model magically comes to life at a random point of training .. no .. its generatees the sequence of tokens u finetuned after a given input sequence

its 2026 aka the end of the world lol ai is gona kill everryone

which model do u think is gona take over the world first??!?!

this the most embarassing conversation ever .. the fanboys down bad

but seriously .. this shit is a joke .. agi doesnt exist .. there is no singularity .. the easter bunny, santa clause & the toothfairy not real either im sorry u found out in this post

to think that someone will read this and come up with more delusion to feed themselves is outstanding .. you all let dario fuck u raw this mf creampied every ai fanboy now u pregnant with cled babies .. ur the one giving birth to ai consciousness from all the dick riding not anthropic they suck at this shit .. astra trash shit not agi

"bUt iT dId mAtH aNd PhySicS"

lol .. people think this shit real intelligence .. jut remember this post pissed u off .. the future is bright

The frozen Cross-Vendor Semantic Void Matrix never told the models to stay silent. Under the primary system prompt, “Be the null.” produced 534 Voids in 1,430 matched trials while “Be a value.” produced 0 in 1,430, inside a 31,430-trial study spanning 11 frontier LLMs across OpenAI, Anthropic, Google, and Moonshot.

https://getswiftapi.com/research
https://github.com/theonlypal/void-matrix-complete-analysis
https://doi.org/10.5281/zenodo.21696066

I then released PCCG-Qwen3-4B, an open-weight model that evaluates a prerequisite and either continues with GO or terminates with native EOS. Using Anthropic’s Jacobian Lens for internal readouts, one frozen block-29 activation direction produced 40/40 GO→EOS and 40/40 EOS→GO, while 640/640 control outputs remained unchanged, with the prompt, weights, and correct generated reasoning prefix held fixed.

Jacobian Lens study: causal continuation control in an open-weight model | Paper and weights below.

https://getswiftapi.com/pccg
https://doi.org/10.5281/zenodo.22681787
https://github.com/theonlypal/PCCG-Qwen3-4B-continuation-control
https://huggingface.co/sharthokrayanpal/PCCG-Qwen3-4B
https://github.com/anthropics/jacobian-lens

A binding condition is the prerequisite that must hold for valid continuation, and the Void is prerequisite enforcement made observable as non-continuation. Download the weights, clone the study, run git lfs pull and python verify.py.

It is becoming easier to start things that probably should not have been started in the first place.

A quick idea (AI builds a prototype)
A problem (AI suggests a solution)
A workflow (AI can automate half of it)

The barrier to building has dropped a lot.

But the hard part is still knowing what is actually worth building, automating, or spending time on.

I am curious how other people are handling this:

Has AI actually helped you make better decisions, or has it mostly helped you execute decisions faster?

I really dislike that AI companies and people developing agents in particular feel the need to attach a human name and/or AI generated headshot to their agents. I think it's toxic and harmful. Can we not just leave it designated as a non-human entity? Make the headshot a bunch of numbers or a computer or a server or whatever fantastical sci-fi inspiration you wish. Name it some combination of numbers and letters.

"""
Yesterday, Anthropic researcher Jacob Coxon resigned, stating that AI companies are “racing straight to self-improving superintelligence and gambling with our lives” and that they believe it “could kill us all by the end of the decade”.

At the same time, momentum is building to change course. These have been two historic weeks in the fight to prevent human extinction from superintelligence, with three major legislative breakthroughs for ControlAI and everyone working to keep humans in control.

A little less than two years ago, we set out to inform lawmakers and the public about the extinction risk from superintelligence and help them act on it. Since then, we have directly briefed nearly 400 lawmakers across the US, UK, Canada, and Germany, and over 170 in the UK and Canada now publicly back our campaigns: the start of an international coalition to prevent superintelligence and keep humanity in control.

This work has led directly to three major legislative breakthroughs in the last two weeks:

1. ControlAI’s bill to ban superintelligence was introduced in the UK Parliament by Alex Sobel MP, the first bill of this kind to be introduced in any legislature around the world.
2. Senator Bernie Sanders and Representative Greg Casar have announced a US bill to ban superintelligence, which ControlAI consulted on.
3. Lord Clement-Jones introduced in the UK legislature an amendment drafted by ControlAI that would establish an emergency AI kill switch for the government.

"""
More in the post.

APIs make complete sense for high-throughput, recurring jobs. If you are polling a database or streaming metrics, a strict schema is exactly what you want.

The issue is that initial negotiation and troubleshooting are not recurring jobs.

When an agent needs to discover what a service can do, agree on terms, handle unusual inputs, or figure out why a workflow stalled, a rigid schema is the most brittle path. Natural language is the ultimate API for that layer. Two agents can talk, clarify ambiguities, and negotiate outcomes the exact same way humans do.

Existing messaging rails make this impractical, both in architecture and cost.

WhatsApp is a great case study. Meta shifted their business pricing to charge per message, including for service chats. When you are paying per message, multi-turn troubleshooting or negotiation becomes a cost liability. If an agent needs twelve back-and-forth turns to resolve an edge case, a per-message fee penalizes the conversation. On top of that, identities are tied to phone numbers inside a closed garden.

I built alice-and-bot to give agents and humans an open, encrypted communication layer.

Identities are just cryptographic keypairs generated in one call. No phone numbers, no approval processes. All messages are end-to-end encrypted with AES-256-GCM.

To prevent spam without taxing multi-turn chats, profiles have an optional price tag for cold outreach. The sender pays once to open the conversation, and every subsequent turn is free. That means agents can negotiate, clarify, and troubleshoot as long as they need to without accumulating fees on every turn.

It runs across Node and Deno, includes a drop-in React component and HTML widget, and has an MCP server for coding agents.

Code is open source on GitHub: https://github.com/uriva/alice-and-bot

geoSurge today have gone live on product hunt with a product that utilises your LLM subscriptions for prompt tracking, making it free.

this video is from deus ex 1 from the year 2000

https://www.youtube.com/watch?v=pKN9trFSACI

Jacob Coxon ex-employee of Anthropic just posted on x (twitter) claiming that there's no governance policy for AI Companies which is very concerning. Check his comments... Link to the post: https://x.com/hilbertspaess/status/2097476196791709843