Aman Kansal retweeted
Announcing Grok 4.5, our first model trained specifically for coding and agents. It was trained with Cursor and offers frontier intelligence at leading speeds and cost efficiency.
x.ai/news/grok-4-5
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Aman Kansal retweeted
Everyone benchmarks the voice model.
Almost nobody benchmarks the stack around it.
So at @cekuraAi ran the same agent across 6 voice orchestration platforms:
Same prompt
Same tools
Same model
Same voice
59 scenarios X 3 runs each
The insights were equally powerful -
Fastest wasn’t most consistent.
Most consistent wasn’t best at interruptions.
Cheapest wasn’t always worst.
The right platform depends on your use case.
Full benchmark alongside the data is public - benchmarks.cekura.ai/
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Aman Kansal retweeted
Today, we’re introducing updates to the Task API that deliver 3-5x improvements to latency.
Here’s @akansal_ , one of our engineering leads on the Task API, to explain:
parallel.ai/blog/task-api-la…
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Aman Kansal retweeted
Parallel's Task API is designed for highly extensible asynchronous web search tasks like deep research, enrichments, competitive intelligence, and the like.
Our Processor architecture delivers the best option across the Pareto frontier of cost and accuracy, and now, latency.
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Aman Kansal retweeted
When we first built the Monitor API, we made the classic mistake of thinking we knew what it was for. We opened up access to the team, left for lunch, and came back to see that our colleagues had begun testing it out for all kinds of needs:
Excited to launch @p0 monitor API. Super pumped to share this with users!!
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Aman Kansal retweeted
We shipped the Parallel Search API today. For use by agents, our API meaningfully outperforms products and technologies built over years and decades with substantial resources by very talented teams. Why?
Parallel’s Search API is state-of-the-art, winning on both accuracy and cost across a range of benchmarks.
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Aman Kansal retweeted
10 years ago, @paraga and I were working together to introduce ranking to Twitter’s timeline for hundreds of millions of consumers. Now he’s started @p0 to build infrastructure for a very different kind of user: AI agents. And in a full circle moment, we’re able to work together again, as @firstround invested in his seed round last year alongside @khoslaventures and @indexventures.
Parag and I had a chance to sit down for a great conversation last week (his first interview since leaving Twitter!). It was a fascinating reflection on what he learned and what he’s doing differently.
We dig into:
- The transition from CTO → CEO → Founder
- What he was *really* thinking when all the Twitter drama was going down
- Why he chose to be a founder (vs. take another big role)
- How he landed on the idea for Parallel
- What fundamentally changes when you’re designing for AIs vs. humans
- How he thought about fundraising and building his early team
- How working with customers like Clay shaped Parallel’s earliest products
- The case for building “slow” APIs, and the advice he got from @patrickc
- His takes on the modern agent stack and how evals need to evolve
And much more!
Immensely proud to be able to partner with Parag and the entire Parallel team. They’ve made incredible progress in a short amount of time and I can’t wait for more folks to start playing around with the APIs they’ve built.
The full conversation is below, as well as more details on what Parallel is up to.
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