TrendPulse

I'm looking for an AI that can take a floor plan of an apartment building and return a floor plan that has absolutely everything removed except for exterior walls, corridor walls, unit demising walls, and the unit number. Kinda running into roadblocks with this one. Common issues are models saying yes I can do that and ending up with circular answers and no solution

LinkedIn removed the fixed connection request cap sometime in the last couple of years. Well, it was more in general cuts, the latest of which happened this year, and replaced it with a dynamic per-account scoring model that most people building automation on the platform haven't fully mapped yet. The system weighs several behavioral inputs. Namely these: acceptance rate, reply rate, SSI (Social Selling Index), organic posting activity, and the number of pending unaccepted invitations sitting...

I've been seeing AI companion apps everywhere lately, and I finally decided to give one a try. What surprised me is how different they all are. Some seem focused on realistic conversations, others lean heavily into roleplay, and some are all about character customization or generating images. As someone who's completely new to this, it's honestly a little overwhelming. I don't want to download five different apps just to figure out which one actually has good conversations. I've been trying ...

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https://preview.redd.it/lwx71pq4rubh1.png?width=2400&format=png&auto=webp&s=9840ff351bc5e4419d8d3b90939d8e294c08f7b5 Was this really that much of a surprise to people. For years, China has been sitting on massive amounts of data I don't think it was that hard to train them. Also i think the chip bans and hardware constraints backfired, because they trained their models to become light weight which i think is way more important for open source.

Building an agent has become much easier now. Half the frameworks out there get you a demo in a day, sometimes less. The hard part is everything that comes after. Versioning, deployment, environment management, monitoring, rollbacks, access control, all of it. We learned this the hard way after our first pilot actually worked and we had no plan for what came next. Anyone here actually made it past the pilot stage? What broke first for you and what do you wish you'd set up earlier instead of ...

I kept putting off the business setup side because every step felt like another tool, account or subscription This time I tried running it through Claude and kept the whole thing in one workflow: setup, verification, bank account and basic finance admin after. Still early but it’s been way easier than jumping between random sites and notes. The nice part is not needing a bunch of separate tools just to get the business side ready. Am I the only one doing it this way? I don’t think it’s tha...

https://arxiv.org/abs/2605.18311 There’s a massive trend right now where companies are trying to replace real human feedback with LLM-driven "synthetic users." The idea sounds great on paper - why would you spend money and time recruiting real people to test products, pick design choices, or evaluate options when you can just prompt? They tested LLMs across 28 real-world studies spanning 78 choice tasks to see if their selections matched thousands of actual human participants. ...

https://orbis.aurochthryx.com

Then when the ai agents don't perform as good as they think they just rehire human employees lmao

AI Pulse Dashboard With how fast new models are dropping, I found it hard to keep track of pricing and benchmark changes across providers. Built a single-file dashboard (no backend) that aggregates 600+ models from 170+ companies. There's a Python pipeline that updates everything with a single click, so new releases get picked up within a day. Project Page: https://github.com/T-a-c-h-y-o-n/aipulse/ [link] [comments...

I wanted to know if an LLM could generate a podcast I'd actually choose to listen to — turning Hacker News threads into audio, in my case. Turns out writing the script is the easy 20%. The rest is fighting everything the model wants to do by default. Two things made the biggest difference: 1. Constraints beat instructions. Telling a model "be conversational" does nothing. What worked was giving the two hosts different information — one only read the article, the other only re...

Made a cool project check it out used for learning especially for indian students

When I first started using AI, I was honestly blown away. It felt like it could answer almost anything, and I caught myself trusting it more than I probably should have. After using it pretty much every day for a while, my perspective has changed. I still think it's incredibly useful, but now I double-check important information a lot more often. I've seen enough confident-sounding mistakes that I don't automatically assume it's right anymore. What's interesting is that using AI more hasn't ...

When a multi-agent AI system answers you, that answer has passed through several “hands” - a scraper, an ingestion model, a synthesis model. Each can distort or invent. Current tools log what happened, but nothing grades who transformed a claim or how much to trust the result. Classical Islamic hadith scholarship spent ~1,200 years on a structurally identical problem: whether to trust knowledge passed through chains of human narrators. Their solution: grade every transmitter, judge a chain...

Hi everyone, I'm actively looking for an opportunity as an AI/ML Engineer, Machine Learning Engineer, Data Scientist, GenAI Engineer, Python Developer, or Data Analyst . I completed my M.Tech in Data Science and have 8 months of experience as an L2 Data Analyst , where I worked with data, analytics, and supported learners in Data Science and Machine Learning. One thing I've noticed during my job search is that I do receive calls from recruiters, but many opportunities require 2–3+...

Writing my own predictions in the AI space

I understand very generally that AI is good at "writing code" but I'm wondering what specifically normal people would need the capability to write code for in their daily lives? Unless they work in an industry that relies on coding in which case it's self explanatory. I personally just use chatgpt for general conversation and talking about life.

One thing that stands out about the current AI boom is that it hasn't had a slow phase. A lot of previous technology waves had a big moment, cooled off for a while and then found their next use case. Recent estimates suggest GenAI companies are generating around $110B in annual revenue and the growth rate is reportedly around 3x faster than previous IT waves like the internet and mobile. What's interesting is that the pace has held through every phase since 2022; first it was chatbots, then...

AI should be private and optional.

I know part of it was about persistent memory, using files stored on your local machine, and part of it was about how to make your agents better and more useful by something saved on your local machine, and there were other cool sounding features, something about ways to save tokens, but I don't remember the rest. I see there is "no tool request" rule, so can someone without saying a product name, just say what the category name for this type of tool is? or what search terms to use fin...

anthropic published the J-space paper today. tl;dr: models have a small emergent set of internal “silent words” (~a few dozen concepts at a time, <10% of activations) that they can report on, control, and use for reasoning. the measurement tool is the jacobian lens and they open sourced it, and neuronpedia posted pre-fitted lenses for qwen. so the obvious next step was to wire it into a chat UI and just… look at it. subtext runs qwen3.5-4B in bf16 on a single 12GB GPU and reads the lens at ...

I recently subscribed to OpenCode Go and wrote a post about my experience. I hope you find it useful: https://byandrev.dev/en/blog/the-cheapest-way-to-code-with-ai/

Artificial Intelligence systems are becoming more able to act on their own and make decisions that affect the world. We need to find ways to figure out if these decisions are good or not. Financial markets are a place to test this because they are very unpredictable and people are working against each other. There is also a lot of uncertainty. We do not always know right away if a decision was good or not. These are the kinds of conditions that Artificial Intelligence will have to deal with as...