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I’ve been working on TigrimOSR , a native Rust desktop application for building and running multi-agent AI workflows. Instead of hardcoding the orchestration logic, the entire agentic loop is configurable through YAML. You can customize: Agent loop behavior Available tools MCP servers Skills Model selection System prompts Self-verification rules Loop limits The goal is to let developers experiment with different orchestration strategies without touching the Rust source code. Some o...

a zap or an n8n flow enumerates its entire action set when you build it. every branch, every write, every field mapping is fixed before it runs once, so the authorization decision happens at design time and the runtime is just replay. that's why nobody asks who's accountable for a zap. whoever wired it is. an agent picks its action set at call time. there is no build-time moment where "write this to hubspot" or "send this from gmail" exists as an object you can approve. so ...

After two years of usual practice: measuring what happens inside small language models when they process different framings of human-AI relationships — not what they say, but the actual internal activation geometry. A few findings surprised me enough to change how I talk to AI day to day: Reframing a topic positively vs. negatively barely moves the internal signal. What you talk about matters far more than how you dress it up. "Connected" and "integrated" register a...

After two years of usual practice: measuring what happens inside small language models when they process different framings of human-AI relationships — not what they say, but the actual internal activation geometry. A few findings surprised me enough to change how I talk to AI day to day: Reframing a topic positively vs. negatively barely moves the internal signal. What you talk about matters far more than how you dress it up. "Connected" and "integrated" register a...

Found this going down a robot-control rabbit hole and it stuck with me. The belt keeps moving, so the target never sits still, which is the kind of thing that usually makes a robot lag or fumble. This one keeps pace by predicting where the scene is about to go and acting on that, then correcting on every new camera frame, instead of only reacting to the current instant. It is a video-action model called LingBot-VA 2.0. The clip is 1x with no cuts, so nothing is sped up. I will drop the source an...

The way AI use is being charged for currently I feel is currently broken. - I pay for input tokens. OK, that makes sense. the more tokens I send, the more I should pay since it's more work on the compute side. - I pay for output tokens but 80-95% of those tokens are thinking budget. I don't care about the thinking your model does. I just care about the answer. Can we not be charged just for tokens that are useful to me? But here's the part that really doesn't sit right: the meter is unaudit...

I’ve been following recent progress in speech AI, and one thing I’ve been wondering about is whether current limitations are increasingly caused by training data rather than model architecture. Models seem much better than they were a few years ago, yet they still struggle with regional accents, code-switching, spontaneous speech, and speakers who don’t match “standard” pronunciation. My guess is that collecting this kind of data at scale is much harder than collecting carefully scripted rec...

Most AI discussions seem to focus on frontier models, AGI timelines, or the latest product launches. I'm more interested in the developments that aren't making headlines but could have a significant impact over the next few years. For example: Small language models running efficiently on local devices AI agents handling repetitive workflows Synthetic data for training AI in scientific discovery Privacy-preserving AI If you had to choose one AI trend that's currently underra...

If an SLM can effectively handle a specific business need while reducing costs, latency, and deployment constraints, what is the benefit of using an LLM in production? Will LLMs eventually be mainly reserved for research, complex tasks, and distillation, while specialized SLMs power most business applications? Do you have concrete examples of use cases suited to each type of model? And where do you think the future of AI lies: with LLMs or SLMs? https://preview.redd.it/8l7ai1qqxcch1.png?w...

Okay so I've hit a wall. I've got ChatGPT, Claude, and Gemini all running at the same time and I'm starting to wonder if I'm just throwing money away. My main gripe with Claude Pro is the usage limits. I hit them way faster than I'd expect for a paid plan, which is annoying. I use AI for pretty much everything — learning stuff, writing, brainstorming, research, random productivity tasks. Not looking for anything super specific, just curious how others handle this. If you had to pick just o...

The conversation today is dominated by which model is smarter and which framework is better. But technology usually follows a predictable pattern. First we figure out how to build something, then we spend the next decade figuring out how to operate it reliably at scale. AI agents feel like they're approaching that transition point. As organizations move from experiments to production systems, the biggest questions become deployment, governance, observability, evaluation, permissions, and lifec...

Saw some stats yesterday that got me thinking. average tiktok user spends 95 minutes a day on the platform. youtube shorts hit 70 billion daily views. reels is the fastest growing format on instagram. The content industry is trying to feed this machine and it's struggling. brands need hundreds of video variations per campaign. creators have to post daily to stay visible. the traditional pipeline, script, shoot, edit, publish, just can't keep up with the volume. AI video slots into this prett...

I am used to my office provided GitHub copilot and open source models we hosted. And I don't want my private project to be done on office laptop for common sense reasons. I would like to know which subscription I should take now, and what level. Here is what I need to build: Android and in future iOS app. A windows client app that connects my phone's app to the windows laptop (wifi if same network, fallback to Bluetooth if not on same network). Some text transfer from phone to c...

So, Meta plans to begin production of its in-house AI chip and it falls under meta MTIA (training and inference accelerators) program and broadcom is the design partner, and TSMC handles fabrication Iris cleared bug-testing in about six weeks with no major issues and is meant to supplement the nvidia and AMD gpus meta already buys, as part of a push to scale computing capacity from 7 gigawatts in 2026 to 14 gigawatts in 2027 Yeeeet!! [li...

My cost benchmark is back with more models and providers. Added Seedream models, Gemini 3.1 Flash Lite Image, GPT Image 1.5 and others. The cheapest and the priciest models are the same as before: Flux Fast Schnell at $0.0025 and Recraft 4 Pro at $0.25. The full report with price and latency comparison are on my blog . Enjoy!

The word robot comes from Karel Čapek's 1920 play Rossum's Universal Robots. It's built from the Czech robata — forced labor — itself from the Old Church Slavonic rabu, meaning slave. I've been thinking about that etymology a lot watching the current AI discourse, which has turned into a pretty consistent pattern of goalpost-moving dressed up as skepticism. It's not intelligent, then it finds a genuinely novel solution to an 80-year-old Erdős problem. It's not useful, then it solves the protei...

I'm inventing/building/engineering a very large musical instrument. Gemini has the lead in finding solutions for my build. Its generally suggested simpler, cheaper, and better solutions to physical design problems/goals than chat or Claude. This was back in the G3 days to start. One of the absolute winning differences is it's inclusion of product links right in the chat, so I can see purchaseable items right away and click to save them. The build needs tons of components so this is crucial. ...

So this opinion is I think AI art should be used, but not in the way you think but just for like concepts for real art like you could use artificial intelligence image as like the base of your actual art. yes i get it if you cancel me or not but this opinion is spitting facts. I'm not very sure why people would use AI for like videos but maybe you could take the ideas from an AI generated video and then use that scripting of that video (Maybe 3 scripts) and use those to make it a reality! &#...

A vector store works well for finding information. It is not good for keeping official records. I have seen teams store all an agents information in a vector database then they wonder why it shows order statuses, outdated bookings or old approvals. The issue is that things being similar in meaning does not mean they are factually correct. For things like orders, balances, bookings and approvals that're important for business the correct information should come from a structured source like...

After the latest update, I’m finding the desktop version pretty uncomfortable to use for regular conversations. It feels like the ChatGPT side has been simplified while Codex has become the main focus. The chat interface feels a bit too bare now, and the folders I used to organize different conversations seem to be gone. I still prefer using the web version for normal chats. Has anyone else had the same experience, or do you actually like the new desktop layout? submitted by ...

Most prompt injection detection methods are reactive, meaning something crosses a threshold and gets blocked. This threshold serves as a signal. We have been working on a proactive approach. In our framework, each conversation has a position τ on a statistical manifold. When τ drops below the stability threshold τ* = √(3/2) ≈ 1.2247—derived from the Landauer limit—the session enters adversarial territory and is blocked. Additionally, there is a second-order quantity from the same framew...

I tried it, and saw no difference with other LLMs. Am I missing something? Or all these influencers are getting paid to promote claude?

Originally published January 6, 2026; updated July 9, 2026 A side controversy in the OpenAI, Inc. Copyright Infringement Litigation case going on in federal court in New York City has been that regular users’ ChatGPT conversations were ordered disclosed to the plaintiffs for searching and perhaps other litigation-related uses. This notion first caused quite a stir with ChatGPT users commenting on Reddit, for example, when Judge Wang, the magistrate judge overseeing “discovery,” which is the ...

There are too many "best AI tool" ranking pages now. After getting fooled by a few, I started paying attention to the business model behind these pages rather than just the content. The page exists to rank, not to test. A real benchmark starts with a methodology and produces rankings as output. A funnel starts with the desired ranking and builds a page around it. You can usually tell by checking whether a methodology section even exists, and if it does, whether it actually constrains...