Elon Musk posted an “important note” on Wednesday about Grok Bot, the AI agent SpaceX launched in beta in August: “Important note regarding Grok @Bot: Going forward, @SpaceX will use the best back end model for any given task, including Claude Opus 5.5, MidJourney, Suno and other leading APIs. Whatever is most likely to give you the best outcome.”
Grok Bot is a joint product of SpaceXAI, the Musk AI lab now folded into SpaceX, and Cursor, which SpaceX agreed in June to buy for $60 billion in stock, a deal that closed in August.
In August, I wrote that when models converge on price, the money moves to whoever decides which model gets the job. This trend is happening across organizations increasingly relying on AI and trying to balance rising costs.
I heard this firsthand this week. At least 10 of the 22 company leaders we interviewed at an AI event this week described the same habit: pick the model by the task, and keep the expensive one for the work that needs it.
Bit Cloud’s next chapter starts after the AI builds your app
Anyone can prompt an app into existence now. Turning it into something a team can run, review, and build on is a different problem. In this episode, Bit Cloud founder Ran Mizrahi walks The New Stack through what happens when reusable, already-reviewed components meet an AI builder, and why that changes how much new code anyone actually has to look at.
No reranker, however capable, can recover a result that retrieval never surfaced in the first place. Join us live on October 13 to see why teams keep throwing bigger models at a problem that starts earlier in the pipeline.
Six data requirements to get your AI agents from demo to production
Most enterprise AI pilots work perfectly. Most production deployments don't. Tune in October 14 for the six architectural requirements that separate agents stuck in pilot from those running reliably at scale.
Postgres at scale: what breaks (and what doesn't) when live data grows
Postgres runs everything until it doesn't. Time-series and high-ingest workloads eventually hit the same wall. On October 21, Tiger Data's Matty Stratton shows exactly where vanilla Postgres starts to strain and, via a live demo, what breaks versus what holds up.
From invoked to proactive: what changes when your incident response agent goes fully autonomous
Most teams talk about agent autonomy as if it's all-or-nothing. It isn't. Join us live on October 22 as Traversal co-founder Raaz Dwivedi traces the real progression from invoked to proactive, and what it takes to trust an agent enough to let it act on its own.
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