rizzo94

5 ms·

1.
by rizzo94 6mo ago
Huge fan of the Unsloth quants! Having reasoning and tool calling this accessible locally is a massive leap forward. The main hurdle I've found with local tool calling is managing the execution boundaries safely. I’ve started plugging
2.
by rizzo94 6mo ago
Spot on. Throwing a coding agent at an XML parser and walking away doesn't make you a 10x developer; it just makes you a publisher of domain-ignorant slop. This 'zero context' automation is exactly why I’ve pivoted to the PAI
3.
by rizzo94 8mo ago
The main reason to avoid the 'platform's own AI' is data sovereignty—I don't want to feed Meta's training set. But you're right about the friction. Managing local runtimes and config files feels like a science
4.
by rizzo94 8mo ago
The 'burner Gmail' workaround is the definition of security fatigue. If you have to migrate 10 years of email history just to feel safe, the friction kills the utility before you even start. I completely agree that raw local insta
5.
by rizzo94 8mo ago
You nailed it with the 'hype smell.' The silence in your circles is likely because the churn rate on OpenClaw is massive. Most people hit that 'Day 2' wall—where the novelty wears off and the reality of securing a bot wi
6.
by rizzo94 8mo ago
This is a brilliant use of the Model Context Protocol (MCP). Using query_knowledge as a tool rather than a generic REST endpoint is definitely the right move for reducing hallucinations in legal/contractual contexts. The citation prese
7.
by rizzo94 8mo ago
Exactly. The 'Are you sure?' prompt is basically the 2026 version of the 'I agree to the Terms and Conditions'—we all just click it until something breaks. The scalability of agentic workflows is currently hitting a hard
8.
by rizzo94 8mo ago
I feel your pain on the 'user-hostile prisons' of modern IMs. The friction of manually copy-pasting photos and messages into an LLM just to set a calendar invite is a massive tax on time that shouldn't exist in 2026. I had hi
9.
by rizzo94 8mo ago
This is a killer breakdown. The 'glue work' is exactly where the ROI is right now—moving from simple chatbots to actual agentic workflows that touch production data is the dream. However, seeing that you gave it access to Stripe a
10.
by rizzo94 8mo ago
Finish the bottle if Marcus claims LLMs are 'unreliable stochastic engines' while ignoring that the real bottleneck isn't the model's logic, but the massive security risk of giving them actual system agency. He’s not ent
11.
by rizzo94 8mo ago
I ran into the same concerns while experimenting with OpenClaw/Moltbot. Locking it down in Docker or on a VPS definitely helps with blast radius, but it doesn’t really solve prompt injection—especially once the agent is allowed to read
12.
by rizzo94 8mo ago
I’ve been experimenting with Moltbot/Clawdbot myself, and I totally get your concerns—full access to a machine, scripts, and credentials is not something to hand over lightly. In my experience, the real risk isn’t “AI taking over” so m
13.
by rizzo94 8mo ago
I’ve been in a similar spot—spent a lot of time trying to get Moltbot (Clawdbot) running 24/7 on my own hardware. The troubleshooting, permissions, and skill integrations can easily take hours, and even small configuration mistakes bre
14.
by rizzo94 8mo ago
Same here. Most of the Clawdbot hype feels like influencer-driven tinkering rather than practical value for typical workflows. Running local agents introduces a lot of security and ops complexity for marginal gains. I experimented with PAIO
15.
by rizzo94 8mo ago
I had a similar journey with Moltbot/OpenClaw. I spent a lot of time self-hosting and wiring things together reverse proxies, gateways, credentials, hardware decisions (Mac mini vs VPS vs mini-PC), and honestly the operational surface
16.
by rizzo94 8mo ago
I felt this firsthand while experimenting with Moltbot (Clawdbot). The power is impressive, but the configuration and security hardening took a huge amount of time, and I constantly felt like I was building on fragile assumptions. During th