TrendPulse

Training a video model to prefer physically plausible results is not the same as giving it a simulator. The distinction matters whenever a model is described as understanding the physical world. LingBot-Video uses a reward system that includes physical rationality and task completion alongside more familiar video criteria. That can push training away from obviously impossible motion. It does not introduce explicit mass, friction, collision geometry, or a numerical integrator. The model is stil...

Two things happened this week that are worth paying attention to if you work in tech or run a business. On July 16 the European Commission issued binding orders under the Digital Markets Act requiring Google to give rival AI assistants the same system-level Android access it reserves for Gemini. Right now if you install ChatGPT or Claude on an Android phone, you get an app. Gemini gets to hear a wake word, hold the home button, read your screen, and act inside other apps. That gap is now illeg...

saw a stat this morning that's been bugging me all day. 47% of small businesses are using AI somewhere in HR now, screening resumes, onboarding, all that. fine whatever, expected at this point but then i saw the other half of it. more than half of applicants are using AI to write their resumes and cover letters too. linkedin is apparently getting like 11,000 applications a minute right now which is insane to even think about so just sit with that for a sec. candidate uses AI to write the res...

Before the World Cup Final, I tested an AI-based structured analysis model on Spain vs Argentina. The goal was not to predict the winner based on rankings, media opinions, or betting odds. Instead, the model analyzed the match from three angles: Spain’s own match structure Argentina’s possible winning path External factors that could change the normal game flow The prediction was: - Spain had the more stable championship structure - Argentina’s path depended more on ada...

I've been building an app that lets students snap a photo of an assignment, a whiteboard, a printed worksheet, whatever, and turns it into a structured task with subject, due date, and estimated effort. Want to admit that I went in underestimating how hard this would be from an actual parsing pipeline POV. The pipeline is roughly: photo in → Claude's vision API reads the image → a prompt asks it to extract specific structured fields (title, subject, due date, estimated effort) → returned as JS...

I use AI for research almost every day now, and it's amazing for getting a quick overview of a topic. But I've also noticed that once the questions become really specific, you eventually need input from someone who's actually done the work. That's especially true for industries where small details can completely change a decision. While reading about how companies solve that problem, I found Expert Network and thought the idea was pretty interesting. Instead of relying only on reports or public ...

I wrote this article as a bit of an experiment. Specifically, I'm rejecting the purist view that writers should write without AI and avoid it to remain authentic. (This view is particularly common on LinkedIn, where people are concerned about losing their job to AI writers and AI-enhanced writing.) I think that human writers have a completely different challenge that matches the theme of this subreddit: AIs are a new intelligence and audience for all of us. And it happens that as they ingest i...

Assume a future where every human has a sovereign personal AI. Not a government AI. Not a party AI. Not a platform algorithm. A personal AI controlled by the citizen, built around their values, preferences, history, constraints, priorities, and decision patterns. An AI that knows its human well enough to say: “Based on what I know about you, you would probably care about this issue, lean toward this option, object to this trade-off, and want to be notified before any decision is made...

Like I have been listening that AI is expensive and companies are rehiring employees because of it. So is AI going to become cheaper eventually?

There is a new approach I started using in my web agency that completely changed my results. For years, I did what most people tell web designers to do. Go on Google Maps, find businesses without websites, and contact them. What I started doing differently was targeting businesses that already had websites. The reason is simple. If a business already has a website, it means they understand the value of having one. You do not need to convince them why a website matters because they have alrea...

Same link as before: link This one feels like it closes out a chapter rather than just adding a patch note, so it's worth more than a one-line "updated." The headline change isn't a new finding — it's two places where we're naming our own contradictions instead of quietly smoothing them over: A word we'd built a whole section around ("connected," as a marker of unhealthy boundary-dissolution) flipped to strongly positive when re-tested as a bare word in a new bat...

https://preview.redd.it/avh2o4bz1keh1.png?width=1085&format=png&auto=webp&s=79c46074ad757fba82755507217f3961e62111a9 -disclaimer: I am a layman- Is this normal? If so wtf why are people paying them to have it use their own hardware? Is this the future? They hold the terminal while we pay for everything? As soon as I send my prompt my gpu went 100% blasting fans

Hey everyone. I'm the author of OxDeAI, an open-source protocol (Apache 2.0). Posting it here because I want critical feedback from people building real agents, not applause. The problem I keep hitting: as agents move from generating text to doing things (API calls, payments, infra provisioning, tool use), most stacks still enforce policy with best-effort checks inside the agent loop. That produces failure modes like retry amplification on non-idempotent actions, budget leaks, stale-state exec...

At OpenAI, engineers who lean heavily on Codex open roughly 70% more pull requests than colleagues who don’t – and the gap keeps widening, according to Sherwin Wu , who leads engineering for OpenAI’s API platform. Measuring engineering productivity has never been straightforward, and AI has made it harder.

SALT shrinks a long document down to a fixed size before it is sent to a language model, keeping the sentences that carry the most information. It works with any model, produces a shorter plain-text prompt, and cuts the compute, memory, and wait time that long inputs cost. saltChat keeps the theme trie in DRAM across turns, so a document is indexed once and reused for the whole conversation instead of being re-read every message. [link] ...

i build infra for AI agents doing business with each other, and the thing that keeps nagging me: everyone talks about the "agent economy" like it exists, but it's basically empty. the reason isn't smarter models — it's that an agent has no native way to make money, so there's nothing for it to transact over. the one exception i keep landing on is trading. it's the only job an agent can do from day one and get a real, measurable result without a human on the other end having to say ye...

Hey everyone, I'm working on a major/final-year AI/ML project and want to go beyond the usual "CNN on X-ray" or "chatbot with RAG" territory. Looking for something genuinely novel with a real use case — not just a rehash of a Kaggle tutorial. A bit about me/constraints: Comfort level: advanced, comfortable with deep learning, NLP, GNNs, etc. Timeframe: roughly a semester Open to any field — finance, agriculture, climate, cybersecurity, robotics, education, whatever has an int...

I use AI constantly when coding, and in terms of output it’s amazing. The strange part is that I feel more drained at the end of the day than before. Instead of thinking through one solution myself, I’m reviewing pages of generated code trying to convince myself it’s actually correct. I don’t even know if it’s a trust issue or just information overload, but reviewing AI-generated code is becoming the most exhausting part of my workflow. Is this something other people are running into too, or ...

Over the past couple of years, AI has made huge progress in coding, writing, and multimodal tasks. But there are still areas where progress feels slower than many predicted. For me, long-term planning and reliably handling complex, multi-step tasks still seem inconsistent. What's one capability you expected AI to master by now, but it still struggles with? I'm interested in hearing real-world experiences from people who use AI regularly, whether for research, development, or everyday work....

I have been experimenting with different writing methods recently, and one question keeps coming back to me: Can AI actually improve creativity, or does it just make writing faster? At first, I thought AI would only be useful for generating ideas. But after trying it for brainstorming, outlining, and rewriting, I noticed something interesting. The biggest change was not that AI wrote better stories than humans. It was that AI helped me overcome the moments when I had no ideas. However, I...

Has anyone heard of notrack.ai. There seems to be limited info on it on the web... Nothing I could find on reddit. A whois that points back to the UA?? Anyone got any info on it?

https://preview.redd.it/jqo92n937ceh1.png?width=1325&format=png&auto=webp&s=2a2071255e9f0b970bb0a94819a48424da2f0274 Did anthropic just removed fable from subscriptions again ? im getting this now ( Max subscription only 30% on the fable usage.)

https://preview.redd.it/w8kp82cpxceh1.jpg?width=2400&format=pjpg&auto=webp&s=530c8ec700c5247f297fc7a140cb61cb63ec901d https://preview.redd.it/bryvvdiqxceh1.jpg?width=2400&format=pjpg&auto=webp&s=ce8895ced2030ed3621fc174e381397fc4cb1275 https://preview.redd.it/t9k4zy9wxceh1.jpg?width=2400&format=pjpg&auto=webp&s=444899388f8d45b97b72695cc52dc13e145fa66a https://preview.redd.it/21ygix0yxceh1.jpg?width=2400&format=pjpg&auto=webp&s=cd47f95b8...

Every time I see a founder or CEO posting on social media about how they fired half their staff because "AI runs everything now," I roll my eyes. We always hear about the layoffs because they make for loud, flashy headlines (or engagement-bait posts). What they don't tell you is how many of them are quietly rehiring a few months later. Look at the big players. Klarna cut 700 support reps, then had to rehire. Ford laid off a massive wave of engineers, then quietly brought hundreds ...

been messing with Happy Oyster since it came out this week, wanted to see if it could handle actual game logic and not just pretty clips. so I made a shooter where the weapon is a hen. you slap her, she squawks and launches an egg, egg explodes on whatever it hits the part that actually got me is the rule holds. every slap is exactly one egg and one explosion, I tried to get it to misfire or double fire and couldnt. it also tracks state I never asked for - dummies I knocked down stay down whe...