Continue to believe that Cerebras is one of the most underrated companies of our time. It's a dinner-plate sized chip. It actually works. It's actually much faster than anything else for real workloads. Amazing
yep
GPT‑5.3‑Codex‑Spark
81–90 of 415 posts
Re: GPT‑5.3‑Codex‑Spark
#82Why are they obscuring the price? It must be outrageously expensive.
I think it's a beta so they're trying to figure out pricing by deploying it.
Re: GPT‑5.3‑Codex‑Spark
#83I love this! I use coding agents to generate web-based slide decks where “master slides” are just components, and we already have rules + assets to enforce corporate identity. With content + prompts, it’s straightforward to generate a clean, predefined presentation. What I’d really want on top is an “improv mode”: during the talk, I can branch off based on audience questions or small wording changes, and the system p…
Can you show one?
Re: GPT‑5.3‑Codex‑Spark
#84Continue to believe that Cerebras is one of the most underrated companies of our time. It's a dinner-plate sized chip. It actually works. It's actually much faster than anything else for real workloads. Amazing
Not for what they are using it for. It is $1m+/chip and they can fit 1 of them in a rack. Rack space in DC's is a premium asset. The density isn't there. AI models need tons of memory (this product annoucement is case in point) and they don't have it, nor do they have a way to get it since they are last in line at the fabs.
Their only chance is an aquihire, but nvidia just spent $20b on groq instead. Dead man walking.
Re: GPT‑5.3‑Codex‑Spark
#85Earlier quoted context omitted.
I routinely leave codex running for a few hours overnight to debug stuff If you have a deterministic unit test that can reproduce the bug through your app front door, but you have no idea how the bug is actually happening, having a coding agent just grind through the slog of sticking debug prints everywhere, testing hypotheses, etc — it's an ideal usecase
I have a hard time understanding how that would work — for me, I typically interface with coding agents through cursor. The flow is like this: ask it something -> it works for a min or two -> I have to verify and fix by asking it again; etc. until we're at a happy place with the code. How do you get it to stop from going down a bad path and never pulling itself out of it? The important role for me, as a SWE, in the p…
For some reason setting up agents in a loop with a solid prompt and new context each iteration seems to result in higher quality work for larger or more difficult tasks than the chat interface. It's like the agent doesn't have to spend half its time trying to guess what you want
Re: GPT‑5.3‑Codex‑Spark
#86I was really hoping it would support codex xhigh first.
Re: GPT‑5.3‑Codex‑Spark
#87> Our latest frontier models have shown particular strengths in their ability to do long-running tasks, working autonomously for hours, days or weeks without intervention. I have yet to see this (produce anything actually useful).
PEBKAC
Re: GPT‑5.3‑Codex‑Spark
#88Earlier quoted context omitted.
This is nonsense what do you mean? Mistral uses Cerebras for their LLMs as well. [0] It's certainly not "untested". [0] https://www.cerebras.ai/blog/mistral-le-chat
Tested at Mistral’s scale is a very different thing to tested at OpenAI’s scale.
The scale of being "tested" clearly convinced Meta (beyond OpenAI's scale) [0] HuggingFace [1], Perplexity [2] and unsuprisingly many others in the AI industry [3] that require more compute than GPUs can deliver.
So labelling it "untested" even at Meta's scale as a customer (which exceeds OpenAI's scale) is quiet nonsensical and frankly an uninformed take.
[0] https://www.cerebras.ai/customer-spotlights/meta
[1] https://www.cerebras.ai/news/hugging-face-partners-with-cere...
[2] https://www.cerebras.ai/press-release/cerebras-powers-perple...
Re: GPT‑5.3‑Codex‑Spark
#89Continue to believe that Cerebras is one of the most underrated companies of our time. It's a dinner-plate sized chip. It actually works. It's actually much faster than anything else for real workloads. Amazing
Not for what they are using it for. It is $1m+/chip and they can fit 1 of them in a rack. Rack space in DC's is a premium asset. The density isn't there. AI models need tons of memory (this product annoucement is case in point) and they don't have it, nor do they have a way to get it since they are last in line at the fabs. Their only chance is an aquihire, but nvidia just spent $20b on groq instead. Dead man walking…
The real question is what’s their perf/dollar vs nvidia?
Re: GPT‑5.3‑Codex‑Spark
#90Earlier quoted context omitted.
Not for what they are using it for. It is $1m+/chip and they can fit 1 of them in a rack. Rack space in DC's is a premium asset. The density isn't there. AI models need tons of memory (this product annoucement is case in point) and they don't have it, nor do they have a way to get it since they are last in line at the fabs. Their only chance is an aquihire, but nvidia just spent $20b on groq instead. Dead man walking…
The real question is what’s their perf/dollar vs nvidia?
Or Google TPUs.