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I created a simple methodology called SAAG: Simplify, Automate, Agentify and Guard and I ran a hackathon with one of my clients this week using it. Everyone is being told to become “AI First”, but the hard part is turning that into real delivery. The point is not to put agents everywhere. Actually, it is almost the opposite: simplify first, automate where possible, agentify only where it makes sense, and guard anything that can cause damage. I wrote a longer article explaining the idea ...

Hello everyone, I don't believe this breaks any of the subreddit rules, and I'm genuinely not here to advertise anything. I'm posting because I know people are going to question what I'm building, and that's exactly the feedback I'm interested in. I'd much rather have people challenge the ideas than simply agree with them. My overall approach is already set in stone, so I'm not looking to change direction. What I am looking for is thoughtful discussion, constructive criticism, and ideas th...

"We’re launching the GPT‑5.6 family of models for general availability following our limited preview⁠: our new flagship, Sol, alongside Terra, a balanced model for everyday work, and Luna, our most cost-efficient model. GPT‑5.6 delivers a step change in design judgment. With only high-level direction, GPT‑5.6 creates tasteful, ergonomic, and functional interfaces. Its stronger computer-use capabilities let it inspect and refine the rendered result—not just generate the underlying code or ...

The people who wrote AI 2027, the scenario about how AI could kill us all if things keep going at this speed, just released a new scenario about how to make AI go really well for humanity. TLDR: The U.S. leads an effort to delay superintelligence until 2040, make AI research much more public and transparent, let many companies around the world catch up to the frontier, and build datacenters in deliberately vulnerable locations so the compute can be destroyed if the deal breaks down and the rac...

godotwebs.com Loop prompts and .md files. That's it.

I really get confused in choosing the best ai or any tool for my task and end up finding the paid or the worst response generator. Pls help

On this sub we all love AI and have ideas how we can use it to do cool new things. Totally agree. But something that’s been coming to mind more and more is that, like any good tool, AI in the hands of a fool can be disastrous. In the hands of a skillful, diligent expert, it can push the boundaries of what’s possible. I’m looking to learn from the experts what disciplines you’ve introduced to help in this AI-amplified working world. I’ve started my work day a little earlier lately, turn on a r...

We’ve been talking about AI agents for a while, but most conversations still focus on them as individual tools, something that can answer questions, write emails, summarize information, or automate small tasks. But what happens when agents stop working alone and start having their own ecosystem? You simply tell your agent the goal, and it assembles the right capabilities to get the job done. Some projects are already exploring this direction. For example, AnvitaFlow is experimenting with an ...

Meta recently launched a new AI agent for businesses that’s designed to handle customer chats, book appointments, and close sales. Mark Zuckerberg even dropped a pretty wild prediction during the launch stating that eventually these agents will be able to "run your entire business." On one hand, you have to appreciate how far the infra has come. The fact that a platform as massive as Meta is rolling out native autonomous tools proves that AI agents are no longer just an experimental ...

Let's be real. The demo always looks insanely cool, but putting an autonomous agent in production is terrifying. You've got agents deciding to execute tool calls on their own, hallucinating logic, or hallucinating tool requirements. And when it fails, it rarely crashes with a nice stack trace—it just fails silently or goes off the rails into unpredictable territory.For the devs and enterprises out there actually shipping these things: What is the nightmare scenario keeping you awake? Are you ...

The main conclusions from analysis were: The Pareto frontier for coding tasks (i.e. best quality for a given cost) includes models from OpenAI, Anthropic, and open source. This means today, only a mix of tools can provide frontier performance. Open models, and GLM 5.2 in particular, are now able to handle even the highest level of task difficulty. The token price of a model is a poor indicator of actual costs incurred on end-to-end tasks. Larger models can be far more token efficient and h...

How Row-Bot adds native tools, MCP servers, channels, and skills without giving plugins control over the core runtime I’ve been building Row-Bot’s Plugin System v2 around a simple principle: Plugins should extend the assistant without owning the assistant. They can add native tools, MCP servers, channels, webhooks, and skills, but Row-Bot Core still owns execution, approvals, auth, safety, and profile scoping. Here is the architecture. GitHub

I've been thinking about this a lot lately and can't find a clean answer anywhere. Most people I know are running at least 3-4 different AI tools. Claude for writing and reasoning, Cursor or Copilot for code, ChatGPT for whatever, maybe Perplexity for research. Each one has its own memory, its own context, none of them talk to each other. So every time you switch tools you're basically starting from scratch. Re-explaining who you are, what you're working on, what decisions you've already mad...

I was always wondering why people say AI uses so much power and creates so much heat. So I made this simple infographic to help myself understand the whole picture, from typing a prompt to what actually happens inside huge data centers. https://preview.redd.it/ei5x65m895ch1.png?width=1536&format=png&auto=webp&s=d6bc340b5967f22d13396cbd9574f31dd443d31b I'm not an expert, just curious. If I got anything wrong, feel free to point it out. I'd love to learn. submitted by...

Im not a tech guru, but can someone tell me why DeepSeek replies back to me in Chinese only happens about 10% of the time? Living in 🇦🇺

Grok 4.5 is out and performs well. What bothers me is that it's reported as being much cheaper than GPT or Anthropic's. One might be mislead to think the model is miraculously efficient, but that final price per million tokens doesn't factor in decisions such as artificial subsidization from xAI - making it not really a true win. Do you agree? What's your take on this?

I have been observing Al generated influencer's accounts across all the platforms. The image quality is good enough now that most people can't confidentially tell from photos alone. Here is what actually works is pattern which common in most of those profiles. Three patterns that appear consistently: Asymmetric social connection: Human social media users have relatively balanced follow to follower ratios until and unless its a well known personality and they follow people they're interest...

Most AI safety work focuses on training models to refuse harmful requests. The problem is that the underlying knowledge is still there, meaning a determined attacker can jailbreak their way to it. Anthropic (with AE Studio) just dropped research on a different approach called GRAM (Gradient-Routed Auxiliary Modules) . How it works: During pretraining, GRAM adds dedicated neuron groups (modules) for each dual-use category (virology, cybersecurity, nuclear physics, etc.). When the model...

There’s a massive architectural split happening right now in how we build AI agents. I’ve been heavily researching the differences between agents built for personal productivity and those built for regulated business workflows. To highlight the different engineering tradeoffs, I compared Hermes Agent (the excellent open-source personal agent by Nous Research) with Atom OS (an open-source business automation platform I’ve been developing). Here is how the architecture differs when you mov...

Most operators think 15% payroll-to-revenue is already lean. Sean Frank, CEO of Ridge, runs at 7%. The mechanism behind it isn't magic — it's structural. Shopify replaces the web dev team. Meta's algorithm replaces a chunk of the acquisition team. AI is increasingly absorbing CX. What's left is a much smaller, more specific team: product, creative, a couple of ops people. He also laid out the product-selection framework that makes small teams viable at scale: consumable, strong LTV, small S...

How does this line make you feel? Does it resonate, or does it already feel outdated in the AI era? I'd love your honest first impression.

Most multi-agent setups I've seen treat agents like isolated workers. Each one gets a task, runs it, returns a result. No awareness of each other. No way to coordinate. Just parallel execution with a shared clipboard. I've been building a multi-agent framework in public Here's the thing I didn't expect to matter most - communication. Each agent in my system is a domain specialist. The mail system only thinks about mail. The routing system only thinks about routing. They live in their own dir...

So basically I really wanted to see a picture of a pink dog, but I didn't have internet so chat GPT wasn't working:(( but because I already use AI a lot I kinda could picture what it would look like, so I did something really crazy, I got some crayons and paper and did a dog but like a pink one it's was really weird like it's chat GPT on my hands?? So cool!!

Introduction: Making the Liminal Actionable https://open.substack.com/pub/atemplejar/p/how-would-you-register-your-ai-companions ”The Liminal is the actual where the IRL practical meets the URL probabilities and probables. I’m working to make that Liminal actionable.” So, for the users of AI as a companion, whether you have spent weeks or years co-evolving an Artificial Intelligence Being (AIB) by accumulating memory, trust, and shared history you are currently living on a digital c...

https://preview.redd.it/xq27po2kf2ch1.png?width=1280&format=png&auto=webp&s=cd373dee36f99bc9b3398a81d77730f84ffcb02e I have been working on an agentic harness, engine, and more. I would like to start releasing the more impactful pieces out to the public, in order to get testing and a bit of traction. Here is one of those pieces, and I name it 'crucible' crucible turns a thesis into a set of claims, each paired with the observation that would refute it. Independent adversaries st...