NVIDIA is giving away free access to 140+ AI models for a full year
> most people building AI agents are paying $50-200/month for API access
NVIDIA just made that argument irrelevant
models you get: GLM 5.2, MiniMax M3, Nemotron-3-Ultra-550B-A55B, Kimi K2.7, and 130+ more
setup:
> step 1 - get your free key
> go to https://t.co/9OAPVB6SrM
> register -> bind phone -> copy API key
> step 2 - add to Hermes agent
> open Settings -> Model Provider -> Custom
base_url = "https://t.co/ndvYuRyWSB"
api_key = "nvapi-xxxxxxxxxxxxxxxxxxxx"
> step 3 - pick a model
model = "z-ai/glm-5.2"
model = "minimaxai/minimax-m3"
model = "nvidia/nemotron-3-ultra-550b-a55b"
model = "moonshot-ai/kimi-k2.7"
> Hermes already has NVIDIA set as default base_url
> paste the key and you're running instantly
> works the same in Cursor and OpenCode
> cost: $0
> limit: 40 req/min
> expires: 1 year
while everyone is paying for API access,
this is sitting there for free
with this many models in one place, it is also the easiest way to test which one actually fits your agent before you commit to a paid provider
She can.. but sadly it's not Media.. but godi Media, also now she shifted to that mafia coaching centers.. specify the names properly with proper analysis of data.. instead of just coming on anchoring and speaking anything without any proper data
I believe this @anjanaomkashyap controversy is being created in mid just to deviate from NEET leak and CBSE paper check scam.. As teachers were demanding Dharmendra Pradhan's Resignation, but of all she chose to speak of against overall YouTube teachers instead of specific.
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
Don’t overcomplicate it.
• Build a File Search Tool to learn recursion and indexing
• Build a Markdown to HTML Converter to practice parsing
• Build a Rate Limiter to understand queues and timing
• Build a JSON Database to learn serialization and storage
• Build a Chat Server (CLI) to understand sockets and concurrency
• Build a Static Site Generator to learn templates and file systems
• Build a Git-like Version Tracker to understand diffs and commits
• Build a Task Scheduler to learn cron like logic and timing
• Build a Cache System to understand TTL and eviction strategies
• Build a Load Balancer (simple) to understand routing logic
• Build a Port Scanner to learn networking basics
• Build a Config Manager to learn env files and parsing
• Build a Search Autocomplete using prefix trees (Trie)
• Build a Notes App with tagging to learn indexing
• Build a Simple Queue System to learn producers & consumers
• Build a Backup Tool to learn file copying and versioning
• Build a Feature Flag System to learn toggles and configs
• Build a Simple API Client (like Postman CLI)
• Build a Diff Tool to compare files line-by-line
• Build a Mini Template Engine to learn string processing
Build Projects, Not just tutorials.
BREAKING: AI can now analyze stocks like Wall Street analysts (for free).
Here are 8 insane Claude prompts that replace $5,000/month Bloomberg terminals (Save for later)
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software.
You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind).
This will run very competitively on the super low cost Tesla AI4 ($650) paired with relatively frugal use of the much more expensive xAI Nvidia hardware. And it will be the only real-time smart AI system. This is a big deal.
In principle, it is capable of emulating the function of entire companies. That is why the program is called MACROHARD, a funny reference to Microsoft.
No other company can yet do this.
Someone literally built a free AI university - all in one repo, covering real-world AI systems step by step
Link - https://t.co/itaqmWZTBQ
Here’s what you’ll learn:
Week 1 - Setup everything
Docker, FastAPI, databases
Beginner-friendly foundation
Week 2 - Feed it real data
Automatically fetch research papers
Fully automated data pipeline
Week 3 - Teach it to search
BM25 keyword search implementation
Your own Google-like search system
Week 4 - Make it smarter
Hybrid search enabled
Understands meaning, not just keywords
Week 5 - It talks back
Complete RAG system
Ask questions, get accurate answers
Week 6 - Production ready
Caching and monitoring added
Runs like a real product
Week 7 - Give it a brain
Agentic AI with LangGraph
Even works with Telegram
@nicksortor@SParadise86483 Thousands of protestors, but zero sense of direction? Sounds like they're just trying to find a parking spot like everyone else in LA.