I just hooked it up to my personal AI Japanese Teacher app, pretty good quality / natural sounding speech in mixed English / Japanese while running fast on CPU so I don't waste VRAM.
AI is like a therapist, it will only change your life if you want to change. I set up python scripts at work to automatically triage, assign and if straightforward fix bugs assigned to me so I have time for complex feature work. At home, I have a script that sends me daily invites to local events based on my interests. Also put together a Japanese voice tutor powered by several local models, can have long free form conversations to learn the language. Planning to go on a long trip around less visited corners of Japan once I feel I can enjoy conversations with locals. Speaking of trips, on my last vacation I had a coding agent find flights/hotels/activities for me using APIs and browser control and just clicked buy buttons. Agent then read my inbox for booking confirmations and added itenary to my Google calendar to stay organized. All in all pretty awesome. But you do have to explain what you want from AI in some detail, it can't decide how you want to live for you.
The primary purpose of code review is to maintain existing hierarchy by preventing junior SWEs from getting promoted by committing code that is smarter than what the senior architect can understand.
Gemma4 31B with MTP enabled is faster and I feel a bit stronger at coding. Either one can run in 32GB VRAM or unified RAM with some tuning (3 bit weights, 8 bit kv cache)
It's not at all like e-mail spam. Vast majority of contributors made a change useful for themselves that they wish to share with others. It's better to think of this as an influx of new programmers or existing programmers picking up new domains. They can be taught to use coding agents better and are likely to stick with projects that facilitate this rather than shutting them out. Maybe it's best for everyone. Let Linux kernel be super locked down to l33t contributors only and let alternative OSes that nobody paid attention to before gain new developers.
The preponderant bottleneck is inventing new architectures to make AI actually good at human and superhuman tasks. For example, AI agent harnesses add tool calls and long term state management, allowing AI to autonomously complete complex tasks. Once these are in place, finetuning models with examples of good tool calls helps, but somebody first needed to invent the fundamental capability. Now try to implement humanlike long term memory for AI to be your coworker or life assistant working on tasks that last month. Even if necessary low level technologies are already there, structuring them to be practically useful is non trivial.
Models consume a lot of memory and power to slowly generate autocompletions of existing content one token at a time. Letting this text control important things in real world is a human decision and control of nuclear weapons or penetration testing agents should be well regulated. But these should already be well regulated without AI. So how about we focus on drawing down nuclear arsenals, which is a present danger one idiot (or faulty AI) away from world shattering consequences rather than fearmongering about unknown future. Before effective AI regulation can be drafted, we need to anyway know more about AI specific dangers rather than humans committing already very common crimes like hacking for ransom with new tools?
In 2026 there is a considerably cheaper/quicker solution, but that in no way invalidates OSS maintainers' right to enjoy a summer vacation without interruption.
SGTM, if I am worried about a curl exploit, I will type details into Zoo Code prompt and it will disappear in about 30 seconds and then I can upload a PR for others concerned. Enjoy your vacation and I will enjoy security for a lot cheaper than an enterprise contract!
There are priorities here which are not mutually exclusive. If you are building the next big thing in your garage, polishing it before establishing it's in fact the next big thing is a waste of time. If it really is, early adopters / investors will seize on it like they did on AI. Once that is established, yes there is space for adults in the room to adopt proper procedures for large scale production. I do believe AI can help with establishing the next big thing, and if other's don't, it's a irreconcilable difference of opinion.
There are amputees that do snowboarding with specially designed prosthesis and boards, so there is certainly a way to take load off weak knees with appropriate gear. OP is just, quite reasonably, not prioritizing this minor dream enough to invest so much time and money in it at the expense of other priorities.
Does "athlete" in your original post have to be only martial art/contact sports? For example, are you medically unable to do absolutely any strength exercises, maybe upper body only, with appropriate support/isolation? A lot of times it's a matter or re framing rather than giving up goals, a lot can be done at home with a pair of adjustable dumbbells.
Lean into medicine, tech and science? Zepbound + strength training is a life transforming miracle and they are coming up with even more effective drugs and modern AI deep research (think coding agent pouring over mountains of data) is amazing at coming up with an investment plan to eventually own a home, for example putting up a downpayment and running a rental in a really cheap area and then eventually using income to finance something more convenient if you are not willing to move.
My point is not that all problems can be solved, but I think what OP is saying is that life is a matter of focus. I am putting plans of a soaring corporate career on ice not because I am 100% sure I couldn't swing it but because trying to would take focus away from things I want more like lifting heavy weights and tinkering with tech at home. But for absolute top priorities, I don't think it's ever worth giving up on the concept. Hard limits can be handled by reframing what success looks like and path to get there, not giving up on the essence.
That blog post is human prompted, anyone who has experience with AI knows the difference between AI originated content (tables and bullet points) and AI spicing up a human prompt with detailed roasting instructions. Been there, done that (harmlessly like mocking concepts not targetting individuals).