BlockedPath

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BlockedPath

BlockedPath

@BlockedPaths

Building personal AI infrastructure. Local LLMs, coding agents, open-source models. Real hardware, real constraints. Learning in public.

Maryland Katılım Nisan 2009
175 Takip Edilen548 Takipçiler
BlockedPath
BlockedPath@BlockedPaths·
@1337hero try this flag on linux or mac export HF_HUB_DISABLE_XET=1
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Mike Key
Mike Key@1337hero·
Why is downloading form Hugging Face so painfully slow?
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Nous Research
Nous Research@NousResearch·
SuperGrok now in Hermes Agent
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BlockedPath
BlockedPath@BlockedPaths·
Dont think ive had deepseek run in codex's harness yet
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Loktar 🇺🇸
Loktar 🇺🇸@loktar00·
Hiring for an Associate Full Stack role, and we all know this market is nuts. Candidates are using AI to apply. I’m using AI to help review. It’s basically AI vs AI at this point. If your AI wins.... you win an interview 😂
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unusual_whales
unusual_whales@unusual_whales·
"AI can cost more than human workers now," per Axios
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BlockedPath retweetledi
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:@_dxllz7·
YOU GUYS WOULD BE SURPRISED AT HOW MANY PEOPLE JUST SIT IN THEIR HOUSE. THAT’S IT. THAT’S THEIR LIFE.
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BlockedPath
BlockedPath@BlockedPaths·
@mil000 You guys aren’t ready for their operating system haha
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BlockedPath
BlockedPath@BlockedPaths·
@ClementDelangue @huggingface or just use the hard drive you already have. my models live on a 00 ubuntu box with a 0 SSD and 6gb vram. storage is free when you own the hardware
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clem 🤗
clem 🤗@ClementDelangue·
AI teams shouldn’t have to choose between expensive object storage and painful git workflows. @huggingface Storage is built for model weights, datasets, checkpoints and artifacts: - simple per-TB pricing - built-in CDN - Xet deduplication - private by default when needed Store your AI data where your AI work already happens: huggingface.co/storage
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BlockedPath
BlockedPath@BlockedPaths·
@HowToAI_ running locally is the whole point. i use qwen3 on my macbook for daily agent work. zero api costs, zero latency, zero surprise pricing changes. the repo is cool but local first should be the default not a feature
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How To AI
How To AI@HowToAI_·
This repo shrinks 201GB of text down to 6GB without losing any accuracy. → 97% smaller than vector DBs → Runs locally → Drop-in MCP for Claude 100% open source. 100% private.
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BlockedPath
BlockedPath@BlockedPaths·
@mattpocockuk we dont need more acronyms we need agents that actually work without me having to write a whole readme just for them
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Matt Pocock
Matt Pocock@mattpocockuk·
TIL: DX: Developer Experience AX: Agent Experience AX is an awesome descriptor for something I've been thinking about - how well an agent can perform in your codebase How well-architected it is. How good the feedback loops are. How discoverable information is. Love it.
Gustavo Valverde@GustavoValverde

@mattpocockuk Agent Experience

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BlockedPath
BlockedPath@BlockedPaths·
@OpenRouter or just use deepseek directly. /bin/sh.14 per million tokens and the quality is the same as the 5/million stuff. why mess with routing keys when the cheapest model already wins
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OpenRouter
OpenRouter@OpenRouter·
Three big upgrades to BYOK on OpenRouter 🔑 1/ Add multiple keys for the same provider in one workspace and set the order they're tried in. Useful for rotating across rate limits, separating dev and prod credentials, or distributing usage across team accounts!
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Everlier
Everlier@Everlier·
@BlockedPaths @loktar00 I think the trend recently is that if there's too much of it but none at all at the same time - that's fake
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Everlier
Everlier@Everlier·
Building a tool to help catch stale skills
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BlockedPath
BlockedPath@BlockedPaths·
@Everlier @loktar00 Half the time you cant tell whats real online anymore, Im constantly thinking something is fake. hahaha
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Everlier
Everlier@Everlier·
@BlockedPaths @loktar00 The whole ecosystem is too much for years already, I have a feeling some of my childhood memories are being replaced with knowledge of some of the AI projects
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BlockedPath
BlockedPath@BlockedPaths·
@1337hero 100% Its so simple at first and allows you take a slow pace and absord everything. Works very easy with local models over tailscale as well.
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BlockedPath
BlockedPath@BlockedPaths·
@nicos_ai Do any of these certs I see make a shit of difference?
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Nico
Nico@nicos_ai·
GITHUB ACABA DE LANZAR LA CERTIFICACIÓN OFICIAL DE UNO DE LOS ROLES TECH MÁS IMPORTANTES DE 2026 → Agentic AI Developer (GH-600) Y es la primera vez que trabajar con agentes de IA se convierte oficialmente en una disciplina reconocida de ingeniería. Ya no hablamos de: • prompt engineering • vibe coding • automatizaciones simples Hablamos de un nuevo perfil técnico: → Agentic AI Developer La persona que: • coordina agentes de IA • construye workflows autónomos • integra agentes en entornos reales • supervisa fallos en producción • evita errores críticos en pipelines CI/CD • sabe cuándo un agente no es fiable Antes: → “Trabajo con agentes de IA” era difícil de validar. Ahora: → GitHub certifica oficialmente ese skillset. Y eso cambia el mercado. Las empresas van a necesitar este perfil. Pero todavía hay muy pocos developers especializados en ello. Si ya trabajas con: • Copilot • Codex • Claude Code • workflows agentic • automatizaciones con IA Probablemente ya estés haciendo este trabajo. GH-600 es la forma de demostrarlo. Guárdate esto 🔖
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Microsoft Learn@MicrosoftLearn

We’re introducing a new GitHub Certified: Agentic AI Developer (GH-600). As AI agents become part of modern development workflows, this role-based certification focuses on how developers and teams operate, supervise, and integrate agents across the SDLC. If you’re already working with tools like GitHub Copilot or exploring agent-driven workflows, we’d love your input. Learn more and get involved. msft.it/6013vRHHZ

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Alex Ziskind
Alex Ziskind@digitalix·
I spent months trying to make this Strix Halo AI cluster work the way I thought it should. (new video linked below) @dcapitella had the key
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Gavel
Gavel@Gavel_on_X·
Daily engagement goal on X: reached! ✅ Thanks, nerds! 😴
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