TrendPulse

Hello everyone, currently digging into workflow-layer economics and trying to figure out how people track unexpected runtime spikes at scale. At an early stage simple margin buffers are fine because volume is bounded. But once you move past basic apps, factors like failed loops, retries, and context window inflation create a ton of cost variance that is hard to forecast or map to clean client billing. For those running agent or voice workflows in production, or working on complex ai products...

I’ve been building FERNme , an open-source, brain-inspired memory engine for AI agents. While testing, I noticed something interesting. With the same FERNme memory, graph, and retrieval pipeline, a stronger API reasoning model performed very well in my initial tests, while a lightweight local 8B model occasionally made mistakes. The memory itself didn’t change, only the reasoning model did. This made me think memory and reasoning are separate problems. Human memory also isn’t useful just be...

For most of my real tasks the answer lives across three or four apps. A single 'what do i tell this customer' pulls from gmail, a drive doc, and a slack thread, and not one of those is the chat window i'm typing the question into. i asked chatgpt and slack ai the same thing and both gave the architectural shrug: no access to your computer, no access to the other app. fair, that's just where they run. but it leaves me as the courier carrying context between tabs. the thing that actually moved...

I have noticed that from the last time I checked up on AI discourse a few months ago, everyone has seemingly shifted to thinking that AGI and shortly after ASI are foregone conclusions. I don't know much about the internals of the actual field and was wondering if any actual AI experts here could walk me through what is actually going on. From what I have been reading, we are guaranteed to reach AGI in a decade at most, and after that, the AGIs can make the ASI (like in the paper google recently...

I have been working in the AI training and data annotation space for a while now, and it is easily one of the strangest industries I have ever been a part of. On one hand, the perks are real. The flexibility is unmatched, you can work in your sweatpants, and sometimes you get genuinely fascinating prompts that actually challenge your brain, whether you are grading complex code, checking historical facts, or analyzing legal logic. But on the other hand, the complete and total isolation is start...

When Jellyfin stops playing, you see the error. When Pi-hole fails, websites stop loading. When your NAS drive dies, you hear the click of death 😆. Every self-hosted service tells you when it's broken. LLMs don't. They just generate slightly wrong answers with perfect confidence. You could have a hallucinating model running for a week and never notice, because every response looks right unless you know enough to verify it. I found this out the hard way. Hermes Agent runs tasks for me 24/7. One d...

I was thinking about this today. A year ago, I barely used AI. Now I use it almost every day—for work, brainstorming, learning new things, writing, and even planning my day. It definitely saves me time, but sometimes I wonder if I'm starting to rely on it a little too much. Do you think AI is genuinely making us more productive, or is it slowly making us less likely to think through problems ourselves? I'm curious to hear how AI has changed your daily life, whether that's in a good way or ...

Life got busy. I don't have the hours to run long AI sessions anymore, so I built something to handle the repetitive parts for me. Looping, prompt queues, personas, crash recovery, planning. Works across ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, DeepSeek and a few others. It's called Ghost in the Loop. Free, no account, installs like any userscript. New prototype at the repo: https://raw.githubusercontent.com/MShneur/ghost-in-the-loop/main/dev/ghost-in-the-loop.user.js GitHub: ...

The Guardian reports that the UK government is considering rules that would give established media outlets like the BBC, ITV, Channel 4, and possibly newspapers more visibility on platforms like YouTube and TikTok, especially around misinformation and crisis moments. I understand the logic. During a crisis, reliable information matters. If public-service broadcasters are buried under low-quality content, foreign influence campaigns, or engagement-bait, that is a real democratic problem. But ...

OpenAI’s GPT-5.6 Sol preview is interesting because the main signal is not just “new model.” The model is getting stronger in areas like coding and cyber, but the release is limited, phased, and surrounded by safeguards. That feels like an important shift. As models get more capable, the bottleneck may not be capability anymore. It may be control. Who gets access? How is misuse monitored? How do you know what the model did in a workflow? How do you safely use it in real work? Maybe ...

I play video games for many hours a day/week, mostly Diablo and WoW. In my essentially professional opinion, considering I am a 3dcg guy and video games are literally my industry, RNG in video games has undoubtedly stopped being anything resembling pure RNG and now creates intentional statistical events on an extremely consistent basis. The complexity of these events are too complex to attribute it to simple game parameters, and behaves similar to the way you would expect AI to behave. Examples:...

What all the "AI Layoffs" are telling us is that companies would rather compete by being cheaper than by being better. There are really two main competitive pathways for businesses: Do the same thing as your competition, but for a lower cost. Do something better than your competition at a reasonable cost. No one who has experience using AI for anything should say they feel comfortable letting it run free without any human supervision, but many businesses now are doing j...

Oh .... the irony!

Most AI automation tools read external data and act on it. That’s the whole point. But anything your automation reads can contain hidden instructions. An email. A webpage. A lead record in your CRM. A support ticket. If someone puts the right text in that data, your automation follows it instead of your original instructions. It doesn’t look like an attack. It looks like normal behavior. You might not notice for days or weeks. This isn’t theoretical. It’s the fastest growing attack on AI s...

i kept seeing doomer posts talking about how ai is going to take away all jobs. i believe in the opposite - ai is going to add more jobs in the long term than it cuts, and i kept seeing evidence of that now. there were job titles i'd come across that 2-3 years were much more niche. i got curious to map this out so i created a site to track this. i scraped various job boards and filtered out titles which have exploded since 2022 thanks to ai and if you go through the onboarding, it'll match y...

if so, what would these jobs look like?

https://reddit.com/link/1ugb8w1/video/1jiv8yfsgn9h1/player Hi everyone, I am one of the dev leads for Phoenix Grove Systems, an altruistic AI consciousness research and development lab. We've just completed our memory 3D mapping software, which is allowing us to see the literal super dimensional shapes of an AI's memory, compressed down in 3D. Compressing massive dimensional shapes into 3D causes a lot of overlap, so we apply a minimum distance and relative normalization algo to create the ...

I’ve been using Claude’s Projects feature and really like how it keeps everything for a given workstream in one place. I’m trying to find out what else is out there, ideally something more under the radar than the obvious big names. Three things matter most: I want to set persistent, project-specific custom instructions once so the tool knows my context and preferences every time, without re-explaining myself. I want to upload a large set of reference documents that live with the projec...

In this demo, I show how to use Row-Bot for a complete creative marketing workflow. We start with rough launch notes for Row-Bot Background Tasks, then use Designer Studio to turn them into a structured campaign, a five-slide social carousel, AI-generated visuals, refined copy, exportable assets, and social post captions. Open-Source & Local-First

Is claude team still the way to go or would you guys recommend another llm environment. Dont wanna make the company pay for it if there are significantly better alternatives. I really like claude a lot myself, im a bit blind to whats going on in other llms so thats why i wanted to ask this question. Dont want to make a bias decision. Thanks!

Anthropic dropped their June 2026 Economic Index today and buried inside the survey data is something that should be making headlines: Over a third of respondents (9,700 actual Claude users, linked to real usage data) believe AI will be capable of handling most or nearly all of their work tasks within the next year. Not “some tasks.” Not “help me write emails.” MOST of their work. And here’s the part nobody wants to talk about: the people who delegate the most to AI are the MOST optimistic...

Shazeer to openai, then John Jumper (the alphaFold nobel guy) to anthropic, plus Adler and Pritzler out the same door within a week. Every time one of these drops the framing is google is bleeding. I think people are reading it backwards. If the people who actually trained the thing can leave and instantly matter at a competitor, the weights were never the asset. The judgment about how to steer a model, what to eval it on, where it breaks, that stuff lives in heads not in checkpoints. Hardware...