Scaling laws project that a model with more parameters trained for longer on more data yields predictably better performance, and that generally you want to scale these factors commensurately. More of the compute budget is being spent on RLVR [0] for which we also fit scaling laws
Researchers tweak data mix, reward shape, model architecture, etc etc, breakthroughs which reduce the cost to train a just-as-smart model. But this increases the returns to scale, which further incentivizes bigger models trained for longer on more data
If I didn't know any better, I would have said Grok is using Claude behind the hood. But definitely curious now why it’s happening with both these LLM providers around the same time
Grok has possibly the worst ToS of any of the AI providers.
They are probably different in the EU, but:
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> In choosing to submit, create, generate, record, post, or display Inputs on or through the Service, you grant an irrevocable, perpetual, transferable, sublicensable, royalty-free, and worldwide right to SpaceXAI to use, copy, store, modify, process, adapt, transmit, distribute, reproduce, publish, upload, download, display in public forums, list information regarding, make derivative works of, and distribute such Content, including anything referenced therein, in any and all media or distribution methods now known or later developed, for any purpose, and to aggregate your User Content and derivative works thereof for any purpose, including but not limited to: (i) maintain and provide the Service; (ii) improve our products and the Service and for our other business purposes, such as data analysis, customer and market research, developing new products or features, or identifying or displaying usage or User Content trends; and (iii) perform such other actions to enforce these Terms, comply with our Privacy Policy, comply with applicable law or governmental, court, and law enforcement requests or requirements or keep our Service safe.
> To the extent the User Content includes a person’s image, likeness, voice, or other similar attributes, you grant SpaceXAI the same rights to use those attributes as part of the User Content as described above. You represent and warrant that you have obtained all rights, licenses, notices, permissions, and consents necessary for SpaceXAI to use that User Content.
The scariest part of the interaction is the first video at https://x.ai/bot where the bot just snags your creds from the browser and takes over. So many people are going to give x all their data and creds.
Although I'll probably never use Grok, this is an interesting release. I always thought GPT work and Claude Cowork are a bit awkward in their positioning. I'm still not sure what the real difference is with standard chat. This looks like the same thing with seamless memory and skills creation.
This seems like the middle ground between work mode and OpenClaw/Hermes (which I've never tried, too scared to mess something up). I think the humanization of the agents is cute and makes sense UX wise. I hope to see alternatives soon.
Researchers tweak data mix, reward shape, model architecture, etc etc, breakthroughs which reduce the cost to train a just-as-smart model. But this increases the returns to scale, which further incentivizes bigger models trained for longer on more data
[0] "...to run reinforcement learning training...at pretraining scale." https://x.ai/news/grok-4?_bhlid=b9339d7816a05adeb52bae7050cc...