The takeaway from Fable 5 being BANNED by the government: GET GOOD AT LOCAL MODELS SO YOU HAVE 100% CONTROL.
My entire weekend was going to be building my craziest ideas with Fable 5. That's now cancelled.
So instead of building with Fable this weekend, I've decided I'll go deep on local models:
1. Start with the runtime. Download Ollama or LM Studio first. This is the thing that actually runs models on your machine.
2. Match the model to your hardware. A model's size is measured in billions of parameters (7B, 32B, 70B). Bigger is smarter but needs more memory. Rule of thumb: a 7B model runs on almost any laptop, a 32B needs a good Mac with 32GB+ RAM, a 70B needs serious hardware like a DGX Spark or a maxed-out Mac Studio.
3. Know which model for which job. Qwen 3 is the best all-around choice for most tasks. DeepSeek for reasoning and coding. Gemma 4 when you need something tiny that runs on a phone. Llama when you want the biggest community and the most fine-tunes.
4. Quantization. You can shrink a model to run on weaker hardware with barely any quality loss. Look for versions labeled Q4 or Q5. This is how a model that "needs" a server runs on your laptop. Learning this one concept changes everything.
5. Connect it to your agent. Point Hermes or your agent stack at a local model.
6. Context window is your real constraint locally. Cloud models give you huge context for free. Local models make you pay for it in memory. A bigger context window eats RAM fast. Keep your sessions tight and your prompts lean or your machine chokes.
7. Learn to give local models tools. A smaller local model with web search, file access, and code execution beats a giant model with none. The capability gap closes fast when you wire up the right tools. The model is the engine but the tools are the wheels.
8. Fine-tuning is more accessible than you think. You don't need this on day one, but know it exists. You can take an open model and train it on your own data so it gets good at your specific domain.
I'll probably do a breakdown at some point on this @startupideaspod if people are into it.
The lesson from this ban is basically don't build your entire workflow on something that can disappear with a single letter. Own part of your stack. Local models are insurance.
It reminds me when people realized they don't own social media accounts. And then you saw people build email lists etc.
I remember running a startup and my biggest traffic source was organic FB. All of a sudden, algo changed, and I lost 99% of my traffic.
Same sorta moment (but bigger) for AI.
This is a wake up call.
Thanks for the dip buddy, managed to load up 4 sol so far. 1.6M buddy.
As a wise man once said, slingoor will sling your nuts through the resistance.
Higher for buddy. Higher for usduc.
@meztalCS@badattrading_ Boss i dont think he's saying that you bundled it, hes simply stating that unfortunately there are people that have bundles and are trying to supply control and drain this coin
the biggest disconnect in memecoins right now is that launchpads are incentivizing devs over traders
I've seen tons of people say they have moved from trading to just creating coins
launchpads want people creating as many tokens as possible since that is their main business model, so now they are focusing on incentives for people who launch tokens rather than the trader
there was a time when there were very few devs, and everyone was a trader which is why so many coins ripped at the beginning of 2024
the skill gap has become so large that many traders have given up on trading
every time a new narrative comes out, there are hundreds of tokens launched and traders have no idea which coin is going to actually run since there is infinite PVP
it's not surprising to see that launchpads want as many coins created as possible, but it creates a very unfriendly trading experience for people who are trying to trade
eventually we are going to hit a point where there will be 100 of the same ticker as people try to farm dev fees, and more traders will give up as it becomes impossible for a coin to run