Hi everyone! With the new CoPilot plan restructuring and limiting AI resources by making it more expensive, I have been wanting to get my feet wet with a free local LLM setup. Has anyone succeeded in creating a free local LLM setup that rivals or gets close to the reasoning and speed of Codex, CoPilot, Claude, etc? Please share you free setups: IDE, model, GPU and ram rig. Would like to hear if there have been successes and what failures you have experienced?

Got my boss to take me seriously on what AI could potentially do for us. Been pushing for a website / branding update for forever. Short story since this is public, everyone agrees it needs to be done but everyone thinks it will be expensive. We were in a meeting and he mentioned possibly needing to add a new service and trying to minimize the task and then feeling defeated at the prospect of the task> But then I said, well actually I already redid our website, and showed him the prototype I did using Jake's course. Everyone was floored at how good it could be and how it changes everything for something they had been putting off for years. Still needs approval from CEO but at least the ball is rolling and people are excited about the possibilities.

If i was looking for a lead engineer to help strategize and use Claude code to develop an enterprise level suite product in an industry i have the downline and active clients for. How would I go about that here? I have created the business model and all components needed. asked claude to code it however i realized the issue in upgrading due to memory and other limitations. i needed to create a file system or a master spec sheet before any code. hence when i saw jake on IG i was like shit hes right. Id like to find someone who can apply this and other knowledge to make this a reality.

You don't need a perfect idea. You need a shipped idea. The gap between "I have a vision" and "I built it" is where real learning lives. Start messy. Ship early. Iterate with real feedback. Perfection is the enemy of momentum. Let the market tell you what matters.

OpenAI dropped GPT-5.5 today, April 23, 2026. No fanfare countdown. No months-long hype cycle. Just a model, live, ready to use, seven weeks after GPT-5.4. Seven. Weeks. If that cadence feels fast, that is because it is. OpenAI has essentially shifted to a monthly release rhythm for frontier models. GPT-5.5 follows GPT-5.4 (March 5), which followed a December release, which followed November. The company's chief scientist Jakub Pachocki put it bluntly: the last two years, in his view, have been "surprisingly slow." That statement should probably keep a few competitors up at night. So what actually changed? OpenAI is calling GPT-5.5 "a new class of intelligence for real work." That is marketing language, but the technical specifics behind it are worth paying attention to. The model is meaningfully better at multi-step tasks: planning a sequence of actions, using tools mid-task, and catching its own errors before handing results back to you. OpenAI says it achieves this without burning more tokens or sacrificing speed. In fact, they describe it as a "faster, sharper thinker for fewer tokens" compared to 5.4, which is exactly the direction the industry needs to move. The areas where OpenAI claims the biggest gains: Agentic coding Computer use Knowledge work Early-stage scientific research That first two items matter enormously for anyone building on top of ChatGPT or Codex. With GPT-5.5, Codex can now interact with web apps, click through pages, capture screenshots, and iterate on what it sees until a task is done. It is not just writing code anymore. It is doing work. Greg Brockman, OpenAI's president and co-founder, framed the release as a step toward what the company is calling a "superapp": a unified experience combining ChatGPT, Codex, and an AI browser into a single product for enterprise customers. The vision is starting to take shape, even if we are not fully there yet. Who gets access? GPT-5.5 is rolling out today to Plus, Pro, Business, and Enterprise subscribers. GPT-5.5 Pro goes to Pro, Business, and Enterprise tiers. It is priced higher than GPT-5.4, though OpenAI argues the improved token efficiency offsets the cost difference in practice. Free users will likely see limited or delayed access, following the usual rollout pattern.