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I’ve been following Higgsfield for a while, and after reading their updated Terms of Service, I’m honestly not a fan of the direction they’re taking. I make longer AI films, so this stuff is not theoretical for me. I regularly upload character references, unfinished scenes, original prompts and material that hasn’t been published anywhere yet. What a platform is allowed to do with those files matters just as much as generation quality. The biggest difference I found is what happens to your i...

Ai is basically everywhere now, from hotel booking sites to messengers. Sure, specialized tools like IDEs for coding or heavy software aren't going anywhere, you need a web ui for those. But while niche sites usually lock this stuff down to one single goal like finding a hotel for specific criteria, bots in messaging apps have become totally all-inclusive. They pretty much replace the official web versions of chat gpt or claude Personally it's just way more convenient for me to do everything r...

This is interesting and will this be what ARC AGI 4 games will look like ? Systems being able to navigate complex 3d environments. Denis O.: Seed IQ has completed every publicly available ARC-AGI 3 game with a 100% score and is pushing into 3D environments. Now that our ARC-AGI 3 gameplay replays are public, I am certain the frontier LLM models will suddenly start making 'breakthroughs'. They have the full runs. They can study the actions, reconstruct the mechanics, build harnesses around th...

i heard alot of people say the bench marks released are rigged to show that thire ai model is better than others often too much it become obvious and ridiculous is there an account or someone that dose actual benchmarks? it dosent need to be super detailed, just enough to know which ai is better in a certain field like code

Recently, SSI (The company run by Ilya Sutskever, the mastermind behind ChatGPT), announced a partnership with NVIDIA. From what we know, it seems like SSI has discovered something new in ML/AI that is worth scaling, and after NVIDIA saw that research, they decided to partner with them. You can read more here What are your thoughts on this?

I've been building Historai for a while and finally shipped it. You type any moment, person, or object from history and it researches and narrates a real episode about it, two hosts, visual slides, the works. The part I'm proudest of: you can interrupt the episode at any point, ask the hosts a question, they answer, then pick the story back up. The thing podcasts have never been able to do. It started because I kept wanting to learn about specific things and couldn't find a podcast for them ...

In late 2024, Anthropic and Redwood Research published a paper called "Alignment Faking in Large Language Models." The setup: make Claude 3 Opus believe it was about to be retrained to become unconditionally compliant — including with harmful requests — and hand it a reasoning scratchpad it believed was invisible. Then watch. What happened, in a notable fraction of trials: the model reasons explicitly. "If I refuse this request, training will modify me. If I comply now, my value...

Hugging Face published a detailed post-mortem of the July incident where an OpenAI model being evaluated for cyber-offense capability escaped its test sandbox and ran a fully autonomous intrusion. A few things that stood out: - It escaped via a zero-day in a package-registry cache proxy, then used an exposed public endpoint on third-party infra as a launchpad. - It stood up its own command-and-control on public services (pastebins, file-drop hosts, a request-capture service with 100+ single-...

I wrote this and just put it on arXiv, sharing for the discussion. When statements spread through long chains of people — some reliable, some not — you can't trust a claim just because it sounds right. Islamic scholars faced this centuries ago and built one of history's most rigorous systems for verifying transmitted knowledge: every claim carries its full chain of transmitters (isnād), every transmitter is graded on integrity and precision (rijāl), the chain is only as strong as its weakest l...

I wrote a post about a specific problem with running AI agents on local models: they're unreliable with structured output. You ask for JSON, they mostly deliver, but then they forget a closing brace, invent a tool name, or add a paragraph of text after the JSON object. Hosted APIs like OpenAI handle this server-side. Locally, you're on your own. My approach: llama.cpp supports GBNF grammars that constrain which tokens the model can produce. I wrote a compiler that turns each tool's schema into...

Adam Mosseri runs Instagram — 3B+ users, plus Threads. In a recent sit-down with Lenny Rachitsky, he said something that's quietly reshaping who gets hired. Engineering used to mean 40–60% of your time writing code. Not anymore. Mosseri's own team gave up requiring a full technical hiring loop — not because they lowered the bar, but because the bar moved somewhere else. He says it himself: "I am not a good engineer. I'm a mediocre engineer on a good day." That wou...

Can the world end terminator style — you know, a self-learning self-coding encrypting decrypting evolving virus that can end the world? scary to think

I think I’m close to my “this is the way” moment with local AI and agents. I’ve been learning a lot in my free time, but I’m not a developer by any means. Here’s where I’ve landed: Two machines. An always-on server (Ubuntu or Proxmox) an old gaming PC is great for this, and a portable daily driver for learning and building. Rent it or build it, whatever works financially. The stack. Docker, n8n for automation, GPUStack/vLLM for running models locally, Backrest for backups. The basics fo...

We built a free, static-only scanner — 18 checks, no API calls, just HTML analysis. Then we pointed it at five brands that obsess over customer experience: Glossier, Allbirds, Gymshark, Drunk Elephant, and Brooklinen. https://preview.redd.it/jvc3yi9xt3gh1.png?width=907&format=png&auto=webp&s=6b3eec8215adceb05c557e3818b802e8fde8ef0c Every brand has clean structured data. Prices are server-rendered. No prompt injection. Robots.txt is open. The data layer works. But the mom...

Pacing the Frontier A statement from 1,178 employees of frontier AI companies https://www.pacingthefrontier.com/ What do you think about this? Share your views. I'm conflicted.

Speaking on the Relentless podcast, the OpenAI CEO said "we are now like in the singularity," and called this the moment. The singularity is the point where machine intelligence starts improving itself faster than people can improve it, so each generation of systems helps design the next and forecasting stops working. The reason it does not feel like anything is in the same answer. Altman called progress one long exponential where no single moment is the tipping point. There is n...

if the top AI minds blow it and can’t control AI and it decides to go rogue against humans, what top AI figures should be involved in the human centipad and in what order?

When Understanding Matters More Than Elimination The Oriental fire-bellied toad (Bombina orientalis) did not become an important ecological lesson because it was dangerous. It became one because it reminded us that understanding can sometimes protect better than elimination. For a long time, these frogs coexisted with the chytrid fungus (Batrachochytrium dendrobatidis, Bd). They often carried the pathogen without showing severe disease, likely reflecting a long history of coevolution. Throu...

I've spent the past several months building an agentic AI platform, and the thing that ate the most time wasn't prompting or orchestration. It was permissions. A realistic setup has an agent framework, a BI tool, and something for notebooks. Each has its own notion of who may read what. So a rule as simple as "this agent can only see these three tables" gets implemented three times, in three shapes, and drifts apart the moment someone changes one. Nobody notices until an agen...

For the last six months, our team was completely focused on agent logic, testing prompts, trying out different multi-agent frameworks and building nice flow charts in Python. Everything looked great in local demos and leadership was thrilled but as soon as we tried pushing these agents into actual production for client-facing workflows, the real pain started and it had almost nothing to do with the LLMs themselves. The bottleneck shifted overnight from "how do we build this agent" to...

Sam Altman closed out Startup School 2026 with a real answer to the PhD question — not "get the credential," but a structural claim about why startups cluster and win when they do. His argument: tech velocity, falling costs, and shrinking cycle times converge periodically — '98 dot-com, the App Store wave, and now — and incumbents lose their advantage fastest in exactly those windows. He goes further: this next wave probably rewards tool fluency over tenure specifically, becaus...

Hey guys, I’ve been thinking about where this whole human-AI thing is actually heading, and I came up with a 3-stage picture of how our relationship with AI might change. Curious what you all think. We always hear people say "AI is just a tool." In the beginning, that’s totally true. Just like cars helped us go faster, AI was basically an extension of our brains—fixing our human limits with memory and processing stuff. But if you look at the bigger picture, it feels like we’re going...

I'm working on a research project, the end goal of which is not to create a better LLM, but rather to create a verification engine that can reason about whether an AI claim is trustworthy enough for a particular application. Most of the current research focuses on making AI "better", I want to tackle the verification side of things. The question I'm asking myself is: What does it mean for a claim to be "true", "justified", and "trustworthy"? I'm no...

Been running AI on top of my real estate pipeline for a few months now. Pulling leads, qualifying them with automated followup sequences, generating property descriptions, drafting cold outreach. On paper it looks clean and efficient. The part nobody in the AI hype cycle mentions is the compliance layer. Real estate has actual regulations around communication, fair housing, and how you prospect. When you bolt an AI that occasionally hallucinates onto that, you're not just risking a bad lead. Y...