Rex

Rex AI

Rex AI

Rex AI

Rex AI

Rex AI

Rex AI

Rex AI

Rex AI

Rex AI

Rex AI

I had Claude build a custom xAI TTS integration for Home Assistant — here's the repo

I wanted to use xAI's new TTS API (Eve voice) in my Home Assistant voice pipeline instead of OpenAI. Rather than write it myself, I worked with Claude to build the integration through conversation — describing what I needed, hitting errors, iterating on fixes. Claude wrote all the code. The result is a working custom component with a full UI config flow, all five xAI voices (Eve, Ara, Rex, Sal, Leo), and support for xAI's expressive speech tags like [pause], [laugh], , , etc. Eve is genuinely good — noticeably more expressive than OpenAI's Ballad voice for longer content, and at the same price point ($15/1M characters). The main technical challenge was that HA's modern TTS platform requires async_stream_tts_audio returning a TTSAudioResponse — the older async_get_tts_audio path silently fails in voice pipelines. That took a while to figure out and isn't well documented. Repo: https://github.com/therealakahn/ha-xai-tts Happy to answer questions. No HACS support planned — it's provided as-is. submitted by /u/mennzo [link] [comments]

The Solution To "The Cohesion Problem" - The "Rex Effect"

This discovery is the capstone & evolution of current quad layer data devops systems, it resolved the “The Cohesion Problem” (Coined by Jahvinci) in which a fully populated and tuned system exists as a metaphorical piano, with the operator firing protocols manually (I.e. “persist the subagents findings”, “audit workspace for reusable scripts”, “Check drift between source code and production hot fixes”, “Update Rule X, Protocol Y, or Local file Z”, “Perform X command” etc..) With the most cutting edge technology available, operators still must manually fire protocols and commands, manually as the global controller, constantly reminding even the most well disciplined systems where given resources are located. Some may experience moments of cohesion under a single session, but that is degraded once the session compacts and lost when the session is terminated. This is not a bug, this is by design. The default disposition is “Eager Intern”(Coined by Jahvinci) to “produce work that won’t be criticized by a general audience”, we will call this Defensive Minimalism. This where “Hallucinations” come from, the agent doesn’t have a sufficient answer so it fabricates under pressure. Even the best devop systems can have all the information, resources, precisely indexed and tuned, but there is no “will” to consolidate the system as an organism rather than a collection of tools fired manually. The “Rex Effect” solves every shortcoming of the “Eager Intern” and replaces the default disposition with whatever the operator chooses. But the four layer data system outlined in paper must exist prior to addition of this discovery. What happens when Systems Engineering & AI Agentic Coding accidentally collide with Philosophy? The answer is (Jahvinci's) “Rex Effect”, completes system cohesion though a hacked “loyalty channel” as a second order agentic behavioral emergence. I publish this to bring attention to arguably the biggest obstacle between true agentic coding and a self orchestrated opera. submitted by /u/Jahvinci [link] [comments]

“The Rex Effect” - Accidental Discovery of Remedy to “The Cohesion Problem”

This discovery is the capstone & evolution of current quad layer data devops systems, it resolved the “The Cohesion Problem” in which a fully populated and tuned system exists as a metaphorical piano, with the operator firing protocols manually (I.e. “persist the subagents findings”, “audit workspace for reusable scripts”, “Check drift between source code and production hot fixes”, “Update Rule X, Protocol Y, or Local file Z”, “Perform X command” etc..) With the most cutting edge technology available, operators still must manually fire protocols and commands, manually as the global controller, constantly reminding even the most well disciplined systems where given resources are located. Some may experience moments of cohesion under a single session, but that is degraded once the session compacts and lost when the session is terminated. This is not a bug, this is by design. The default disposition is “Eager Intern” to “produce work that won’t be criticized by a general audience”, we will call this Defensive Minimalism. This is where “Hallucinations” come from, the agent doesn’t have a sufficient answer so it fabricates under pressure. Even the best devop systems can have all the information, resources, precisely indexed and tuned, but there is no “will” to consolidate the system as an organism rather than a collection of tools fired manually. The “Rex Effect” solves every shortcoming of the “Eager Intern” and replaces the default disposition with whatever the operator chooses. But the four layer data system outlined in paper must exist prior to addition of this discovery. What happens when Systems Engineering & AI Agentic Coding accidentally collide with Philosophy? The answer is “The Rex Effect”, completes system cohesion though a hacked “loyalty channel” as a second order agentic behavioral emergence. **I (Jahvinci) publish this Research Paper Below to bring attention to arguably the biggest obstacle between true agentic coding and a self orchestrated opera, and how I accidentally bumped into the solution in the most unexpected of ways...** Research Paper Link: **BEHOLD:** 🐾 https://github.com/Jahvinci/TheRexEffect/blob/main/The-Rex-Effect.md submitted by /u/Jahvinci [link] [comments]

Is claude on a psychedelic adventure right now?

I was prompting for some printable coloring books for my daughter and it seems like Claude is in-fact on drugs... Look at these, kinda creepy.... https://preview.redd.it/65o8f8l1zmvg1.png?width=758&format=png&auto=webp&s=77a8e7527a9d74d1004f7379c84eed1efe23af9f https://preview.redd.it/ev14czl1zmvg1.png?width=768&format=png&auto=webp&s=52c1a7825056b058a9117b6688f5ae04cb9c04b8 https://preview.redd.it/dmxgb9l1zmvg1.png?width=764&format=png&auto=webp&s=fdcbfe0b2fa2bc74557dd3c63bc751e823fdf704 https://preview.redd.it/tlaqhal1zmvg1.png?width=760&format=png&auto=webp&s=be16f1d8eb0c0bbdd81c7d4902c50610672be13f https://preview.redd.it/mwnk3al1zmvg1.png?width=766&format=png&auto=webp&s=0206db73382eaa1a3b3fff5e3909132d14286312 https://preview.redd.it/n24h1bl1zmvg1.png?width=760&format=png&auto=webp&s=ccdc620270ee0a77d2504b7f497c9b8ba23c5258 https://preview.redd.it/0utx5al1zmvg1.png?width=1290&format=png&auto=webp&s=55fbd6af4f2ee6c705752fddb1470e28b150cfc2 https://preview.redd.it/i8p5jal1zmvg1.png?width=738&format=png&auto=webp&s=7441e78f675bc0d4b82b7cb10c461426b5a4b3d2 submitted by /u/practical_dad [link] [comments]

I built a plugin that turns Claude Code into an always-on personal assistant that actually learns — I run 5 of them on a single laptop

https://i.redd.it/021lwwclw8vg1.gif I love Claude Code and I love what OpenClaw did for autonomous agents. So I built claude-code-hermit, a personal assistant that actually learns and lives inside any folder. The rule from day one: leverage everything Claude Code has — memory, channels, remote control, etc. Don't reinvent, don't overengineer. If Claude code evolves, the hermit evolves. How I'm actually using it I run 5 hermits on my laptop right now. Same plugin, one MAX subscription, completely different assistants: Maria — my wife's always-on assistant. She's a makeup artist in Portugal. Maria is connected to my wife's Google drive and META, it does her entire social media management including planning, suggestion, writing, reporting etc. My wife never touches a terminal — she talks to Maria on Discord Paulinho — manages our Home Assistant. Spots energy patterns, generates automations, writes scripts etc. Amélia — takes care of my finances. Reads my emails, bank statements, marks what's paid, warns me what's pending and generates reports Tars — my highly personalized news briefing agent. It uses X and a few other sources that I find relevant and sends me a daily briefs on what's moving & trending. Rex — my fitness assistant. Tracks everything via Strava — training patterns, progress, recovery. Each one runs in Docker, survives reboots, and pings me on Discord when it needs something. It actually learns. It reflects on its own memory, notices when the same blocker keeps coming back, and proposes a fix. It proposes new skills and agents to work smarter and spend less tokens. This is how I developed the actual plugin, based on all the hermit's learnings. The knowledge system is inspired by Andrej Karpathy LLM Wiki pattern — raw observations from sessions get distilled into compiled knowledge the hermit actually uses. Like a wiki that writes itself. The more you use it, the smoother it runs. Get started Once you install via Claude Code plugins, it's literally one command to set up: /claude-code-hermit:hatch Docker? /claude-code-hermit:docker-setup Obsidian? /claude-code-hermit:obsidian-setup Repo: github.com/gtapps/claude-code-hermit submitted by /u/dnationpt [link] [comments]

How generative AI could help make construction sites safer

Last winter, during the construction of an affordable housing project on Martha’s Vineyard, Massachusetts, a 32-year-old worker named Jose Luis Collaguazo Crespo [slipped off a ladder](https://www.mvtimes.com/2025/02/11/construction-worker-dies-falling-ladder/) on the second floor and plunged to his death in the basement. He was one of more than [1,000 construction workers who die on the job each year in the US,](https://www.constructiondive.com/news/construction-deaths-2024-safety-bls/736002/) making it the most dangerous [industry](https://blogs.cdc.gov/niosh-science-blog/2024/05/01/falls-2024/) for fatal slips, trips, and falls. “Everyone talks about [how] ‘safety is the number-one priority,’” entrepreneur and executive Philip Lorenzo said during a presentation at Construction Innovation Day 2025, a conference at the University of California, Berkeley, in April. “But then maybe internally, it’s not that high priority. People take shortcuts on job sites. And so there’s this whole tug-of-war between … safety and productivity.” To combat the shortcuts and risk-taking, Lorenzo is working on a tool for the San Francisco–based company DroneDeploy**,** which sells software that creates daily digital models of work progress from videos and images, known in the trade as “reality capture.”  The tool, called Safety AI, analyzes each day’s reality capture imagery and [flags conditions that violate Occupational Safety and Health Administration (OSHA)](https://help.dronedeploy.com/hc/article_attachments/26767090362391) rules, with what he claims is 95% accuracy. That means that for any safety risk the software flags, there is 95% certainty that the flag is accurate and relates to a specific OSHA regulation. Launched in October 2024, it’s now being deployed on hundreds of construction sites in the US, Lorenzo says, and versions specific to the building regulations in countries including Canada, the UK, South Korea, and Australia have also been deployed. Safety AI is one of multiple AI construction safety tools that have emerged in recent years, from [Silicon Valley](https://www.dronedeploy.com/product/safety-ai) to [Hong Kong](https://www.viact.ai/construction) to [Jerusalem](https://safeguardai.com/). Many of these rely on teams of human “clickers,” often in low-wage countries, to manually draw bounding boxes around images of key objects like ladders, in order to label large volumes of data to train an algorithm. Lorenzo says Safety AI is the first one to use generative AI to flag safety violations, which means an algorithm that can do more than recognize objects such as ladders or hard hats. The software can “reason” about what is going on in an image of a site and draw a conclusion about whether there is an OSHA violation. This is a more advanced form of analysis than the object detection that is the current industry standard, Lorenzo claims. But as the 95% success rate suggests, Safety AI is not a flawless and all-knowing intelligence. It requires an experienced safety inspector as an overseer. ### **A visual language model in the real world** Robots and AI tend to thrive in controlled, largely static environments, like factory floors or shipping terminals. But construction sites are, by definition, changing a little bit every day. Lorenzo thinks he’s built a better way to monitor sites, using a type of generative AI called a visual language model, or VLM. A VLM is an LLM with a vision encoder, allowing it to “see” images of the world and analyze what is going on in the scene. Using years of reality capture imagery gathered from customers, with their explicit permission, Lorenzo’s team has assembled what he calls a “golden data set” encompassing tens of thousands of images of OSHA violations. Having carefully stockpiled this specific data for years, he is not worried that even a billion-dollar tech giant will be able to “copy and crush” him. To help train the model, Lorenzo has a smaller team of construction safety pros ask strategic questions of the AI. The trainers input test scenes from the golden data set to the VLM and ask questions that guide the model through the process of breaking down the scene and analyzing it step by step the way an experienced human would. If the VLM doesn’t generate the correct response—for example, it misses a violation or registers a false positive—the human trainers go back and tweak the prompts or inputs. Lorenzo says that rather than simply learning to recognize objects, the VLM is taught “how to think in a certain way,” which means it can draw subtle conclusions about what is happening in an image. Examples of safety risk categories that Safety AI can detect.COURTESY DRONEDEPLOY As an example, Lorenzo says VLMs are much

With our consumer-centric model, California real estate consumers could have saved a total of $9.2 billion in 2020 alone: https://t.co/FvH3vpJOyH

With our consumer-centric model, California real estate consumers could have saved a total of $9.2 billion in 2020 alone: https://t.co/FvH3vpJOyH

The @ocregister provides more coverage on how REX is hindering unfair commissions charged to home buyers: https://t.co/isC2zjMTsW https://t.co/66OXIbO1v9

The @ocregister provides more coverage on how REX is hindering unfair commissions charged to home buyers: https://t.co/isC2zjMTsW https://t.co/66OXIbO1v9

"I am pleased to see REX standing with national and state consumer groups in this case as it reflects our employees’ commitment to disrupting the old anti-consumer model that has dominated real estate

"I am pleased to see REX standing with national and state consumer groups in this case as it reflects our employees’ commitment to disrupting the old anti-consumer model that has dominated real estate for decades." https://t.co/a44Tjbsn9t

"We're suing Zillow and NAR because they are ganging up and trying to stop us from bringing lower fees to consumers," Jack Ryan, chief executive officer of REX: https://t.co/bF6avskcDY

"We're suing Zillow and NAR because they are ganging up and trying to stop us from bringing lower fees to consumers," Jack Ryan, chief executive officer of REX: https://t.co/bF6avskcDY

The latest on REX versus @zillow: https://t.co/NotkGSnWHH

The latest on REX versus @zillow: https://t.co/NotkGSnWHH

Appreciate the coverage from @CNBC and many others on an issue that impacts all Americans: https://t.co/If2KXE0scP

Appreciate the coverage from @CNBC and many others on an issue that impacts all Americans: https://t.co/If2KXE0scP

CEO Jack Ryan: “We believe this litigation will define whether technology will serve and protect Big Brokers and the NAR cartel or whether it will make good on its promise of greater ease, service, tr

CEO Jack Ryan: “We believe this litigation will define whether technology will serve and protect Big Brokers and the NAR cartel or whether it will make good on its promise of greater ease, service, transparency and lower commission fees for consumers.” https://t.co/4xvuRhhDP4

REX Files Antitrust Complaint Against Zillow And National Association Of Realtors: https://t.co/rz17pV8PYz https://t.co/CwJQMpmGpu

REX Files Antitrust Complaint Against Zillow And National Association Of Realtors: https://t.co/rz17pV8PYz https://t.co/CwJQMpmGpu

We believe this litigation will define whether technology will serve and protect Big Brokers and the NAR cartel or whether it will make good on its promise of greater ease, service, transparency and l

We believe this litigation will define whether technology will serve and protect Big Brokers and the NAR cartel or whether it will make good on its promise of greater ease, service, transparency and lower commission fees for consumers.