Personally - and I know I'm not alone with this sentiment based on comments I see on this site - I wouldn't touch Grok no matter how good or cheap it is. I don't trust Elon and I don't want to give another dollar to the world's richest person who turns around and uses the money to interfere with elections. The guy I know uses it for essentially the same reason I won't use it.
Elon is directly responsible for Grok becoming self-titled “MechaHitler” which the other three haven’t come close to matching yet.
Elon would be in prison for SEC violations if the current administration hadn’t been elected, and that’s only the tip of the iceberg with that guy.
Calling it "interfering with elections" is utterly bizarre to me.
thats a very dumb reason considering all rich people do it, most are just not as open about it as Musk
That's before we even start talking about the models themselves. He claims to want "unbiased" models, but he very clearly has a distorted view of the world and has repeatedly demonstrated a desire and willingness to bend the world to his will. I don't want to use a model that is so obviously suspect. Not to mention, his models repeatedly produce racist, Nazi-like propaganda.
IMO, he is, at best, a clueless amateur masquerading as an expert and running into problems a more careful person manages to mostly avoid. At worst... well, you get the picture.
It's a really, really easy line to draw in the sand: don't support openly corrupt individuals.
It's absolutely true there's money in politics. To call all money in politics equally corrupt because Bernie got a dollar to have dinner with someone vs Elon effectively directly buying votes....
A complete lack of nuance here. And I wouldn't be surprised if corporations / super rich WANT you to think like that. The more defeatist the mentality becomes the more we just accept whatever they do next.
We have Claude, ChatGPT, and Cursor with essentially no cap on spend (top guy is spending over 10K a month on AI at API prices), and he hasn't had his hand slapped.
So it's not like they are using it purely because it's cheaper.
I think people like to use it for its speaking style, pretty solid performance, and its speed.
But in my experience, the overall productivity ends up similar, give you are willing to work with it in that way.
The grok build TUI harness is excellent and I really enjoyed using it.
For debugging and such I found it pretty much the same as other models.
Fable's taste in software abstraction and project planning in greenfield setups[1] is unmatched in my experience. Sol is OK. My primary use is launching tens of experiments that have to smartly use a limited pool of GPUs.
I use fable to start off the experiments, decide checkpoints, gpu alloc, where to sacrifice precision for performance, and then grok4.5 to iterate, tune, debug, eval, etc, within the abstraction and setup that fable initiated. I have fable write simple scripts that are then wrapped in skills for grok to use. Speed for that loop is extremely important for me, since I also apply human judgement there and I don't like waiting for model output.
I have tried Deepseek and such for the inner agent, but I desperately need multi-modal. Otherwise it's OK, but it tends to use tools less and rambles on and tries to reason with limited information and gets things wrong. Probably a relative la k of tool use posttraining. Gemini flash limits in google ai pro are too low for me to use to compare.
I use anthropic and openais models through grants and so can't compare subscription plan token budgets, but supergrok's budgets are satisfactory.
[1] aside, I have not yet met a model that continues off of a human codebase and actually follows the patterns reliably long term. Eventually it's all slop.
You need to manually push models to clean up the slop every now and then otherwise it becomes chaotic. And every change with LLMs is always extra lines.
> Save your context. Always use a subagent (Opus 5 or GPT 5.6) for performing the implementation and then review the work yourself. You are the orchestrator and coordinator it’s up to you to ensure a cohesive final result.
I’ve done more or less the same thing with other agents/versions but with Fable consuming usage credits/tokens so quickly I do it more regularly than usual. I know people who will specify Composer (to my chagrin) as the implementing agent.
Addendum: this really goes a long way, and I can use a single chat session for days before I get into the context danger zone and need to compact/summarize.
I'm not touching Grok. But there are alternatives to Anthropic and OpenAI that don't refuse to do security work.
Grok is 3x+ faster than Claude and I can't tell the diff in engineering work quality. As an engineer, speed is important to me.
Maybe because I like to verify its outputs and spend a lot of time iterating to get better outcomes. Presumably if I just let it "do its thing" I'd burn more tokens and "get more done" but I'd lose my grasp on what's in the code base.
I opened a developer API account, loaded 5 dollars and got the free $100s of credits for the month. Like two weeks later, xAI announced they were shutting down the subsidized credits entirely lol. Didn’t even get a full month out of it, and closed my account entirely since I sure wasn’t ever going to put another penny of my own money in.
So my personal lesson was to ignore any hype about the latest “crazy value / unbeatable / free / subsidized X, Y or Z” from anything xAI/Elon adjacent in the future.
These days I get more than enough personal usage from Codex + OpenCode Go to put up with yet another xAI/Cursor offer treadmill, especially if it involves installing new tooling to get it.
Making it open weight does the opposite – it allows traffic to not be routed through them at all.
META releases open weight models because selling access to models isn't their business model, they get optimization for free, good press with adoption of their tech etc. They don't want AI to become another iOS, they want to commoditize the layer underneath them.
GOOGLE releases open weight models because they complement the rest – from premium offering to Android/Chrome/Google Cloud etc products. They use it as part of open ecosystem / local / edge / experimentation layer. 400 million downloads with 100k community variants is nice vibrant ecosystem they have and want to have, they can capture value in several places and would prefer if devs standardize on their tooling.
OPEN AI because their PR was shit and it saved them, purely defensive move, which is interesting considering their name and initial goal.
ALIBABA because it tickles them to erase/cap profits in western labs, free optimisation/research, great PR.
DEEPSEEK they want to have day-zero support for all possible hardware platforms, they started it because Liang wanted to do it, had resources from High-Flyer to do it and he said fuck it and did it (zero commercial incentives which is so bizzare that it deserves a movie or something). He wants to do it because his destination is AGI. In that sense he's more original OpenAI than OpenAI.
MISTRAL because they want to be to AI what RedHat is to Linux.
NVIDIA because they sell GPUs.
...the list is long, there are few dozens of companies including Microsoft, IBM, AI2, Databricks, Snowflake, xAI, EleutherAI, Hugging Face etc. that release open weight models, there are thousands of models and tens of thousands of fine tunes across across text, image, video, audio etc.
In general half life of any model is short. What is more lasting is ecosystem around it, releasing new generation as open doesn't give away technical advantage.
They give away asset for which strategic value is deprecating rapidly and in exchange they get developers, mindshare, tooling, optimizations, integrations, research, standarisation etc. and put pressure on competitors destroying their margins.
It's not an absurd way of thinking, it may seem like irrational move but let's wait and see – imho labs like Anthropic can't sustain long term this kind of pressure and will eventually collapse – regardless of the fact that currently they look like strongest player that can't be touched, the whole thing they have holds on thin, fragile support that gets eroded.
we talked about Chinese models. Yes, erase/cap profits, PR, and give clients peace in mind that model access won't disappear. So, it is infiltraiting markets.
Motivations are more complex than that, if they wanted to achieve that they'd follow approach taken by some western labs to release weaker models only as open keeping frontier behind APIs.
Look at ie. OpenRouter you'll see how many providers there are and how much traffic they get.
If the goal was data, opening weights would be the worst available way to achieve it: a cheap, closed API would capture 100% of traffic (ie Anthropic style), weights can only lose share from there.
With open weights it's net loss of active users of your official api – you're loosing users to self hosting and dozens of providers.
The thing is that open weights create permanent exit that closed models do not have, inference is commoditized immediately, people choose open weight models specifically for data privacy (and stuff like soc2/hipaa compliance) and if somebody wants convenience they go to claude/openai and friends anyway.
Also chinese labs are not uniform with their approach just as western labs are not.
Say more about this.
That makes me really skeptical of it being GPT5.6-tier, much less Fable-tier, based on some of these benchmarks alone. But I'll test here shortly.
Me too. The only people I ever saw using grok were using it by accident as they used copilot in auto mode and noticed some prompts were thrown it's way.
I saw far more people using Mistral than grok.
I don't give a shit about Elon's politics in the same way I don't give a shit about Dario or Altman's politics.