pyeri

Not it won't, source code itself is generally useless for most implementers who want to actually use the software rather than experiment or hack around it. Most of its value comes from business workflows, configuration, support, training, etc. around a software. Besides, github isn't the only hosting forge in town, plenty of others like gitlab, bitbucket, source forge, codeberg, etc. exist and those will keep serving as a marketplace for code and ideas.

The generally agreed epoch of Mahabharata war (and also the start of kali yuga or iron age) among Vedic astrologers is about 3102 BC which places the epic deep into the Bronze age territory. Historians generally reject this epoch as it creates the dark age problem (over 2000 years of unexplained historical gap between that war and 500 BC when figures like Bimbisara, Buddha and Ajata Satru start appearing). Their epoch is in the range of 800-2000 BC depending on who you ask.

Having said that, there is nothing to make the bronze age epoch impossible. There is nothing in the epic which may not have been possible in the bronze age based on what we already know about history.

Altman may not be an altruist but the overall direction the organization takes is what matters in the end. And as long as that organization retains even a semblance of a non-profit (despite having a revenue centric approach to tackle competition in the field), it is still a preferable organization to Anthropic and Amodei.

This maneuver requires you to anticipate all the edge cases or error messages beforehand which is practically not possible in many situations. The moment something unanticipated happens or the model changes its processing logic, the tool call system stops working just like any other deterministic program or tool.

The capacity conundrum here is very unique. Similar to pareto optimization principle:

=> 80% of engineering problems == budget models like gpt-mini can handle.

=> 15% of complex reasoning, vibe coding == frontier models like Opus, still sustainable.

=> 5% of 'really complex enterprise grade reasoning' == need massive tokens, impossible at scale unless pockets are deep.

I'm a Senior Freelance Programmer, I can see many of my past and present clients moving towards the exact path you described. I keep warning them during meetings that Claude model isn't sustainable for long, eventually the VCs will come for their revenues and Claude will be forced to close their access to all but the most enterprisey ones with deep pockets. The mere electricity cost for that kind of high level reasoning and abstraction can't be subsidized forever. However, there are other forces which pull them towards Claude and AI workflows. Most of the clients are in a "wait and watch" mode right now, using LLM assistance for code generation but not fully depending on them.

Before LLMs came, there used to be the technical debt to deal with in a project, now there is also the added cognitive debt which is way more subtle and impactful long-term. If your source of truth isn't source code but a prompt (or even a series of prompts with branches) and the executor of prompts is a non-deterministic agent, I think you've already lost the battle there.

Might not be a very popular advice or even what you're looking for, but I think Anthropic banning you (or any user for that matter) is a blessing in disguise. The sheer amount of compute resources consumed by their high reasoning "pondering..." and "bloviating..." tokens isn't sustainable at scale. Eventually, they must ban everyone but those with deep and infinite pockets in order for this model to be sustainable and turn revenues.

Computers and LLMs are great at automation of low-level human cognitive tasks like memory, decisions and loops, etc. but struggle enormously with high cognitive tasks like reasoning, deep logic, nuance, etc. Not that it can't be done (Claude platform is proof that it can) - but the cost and scaling advantage in this realm belongs to the human brain, not the LLM.

Have you tried one of the Kimi K2 models or the latest GLM models by z.ai? The general consensus is that they're at least at par with Claude's class.