Ethan Kam retweeted
Thank you Parallel Web System to provide such a meaningful data point~
Yes, MiniMax M3.1 Flash is now #1 on search capabilities leaderboard for efficiency. And it's fast~
MiniMax M3.1 Flash is now #1 on our search capabilities leaderboard for efficiency.
It delivers web research performance with Parallel Search similar to DeepSeek V4.1 Flash (1017) at ~3x lower cost.
Ethan Kam retweeted
who benchmarks the benchmarkers?
a good eval is:
- ephemeral. it snapshots a moment in time and capabilities.
- grounded. it directly measures performance on tasks and data you care about.
- specific. it operates on the desired results and not some proxy of them.
take notes!
Typesafe's CEO @CompleteSkeptic does not trust public benchmarks.
Neither do I, Diogo.
So @p0 and I wrote a blog evaluating 8 decision models on real company training datasets we have personally audited and iterated on.
For what it's worth though, Jev is still on top 👑
parallel.ai/blog/are-all-sys…
Ethan Kam retweeted
NEW: DeepSeek V4.1 Flash (1017) is the highest-performing open model we've measured.
It's the first to crack the top 10 on the Search Capability Leaderboard across open- and closed-source models.
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
Ethan Kam retweeted
Typesafe's CEO @CompleteSkeptic does not trust public benchmarks.
Neither do I, Diogo.
So @p0 and I wrote a blog evaluating 8 decision models on real company training datasets we have personally audited and iterated on.
For what it's worth though, Jev is still on top 👑
parallel.ai/blog/are-all-sys…
Ethan Kam retweeted
search and browsing are better together
most agents need to both read + write to the web, esp with the rise of personal agents
starting today @p0 is the default search provider for
@browserbase, powering their Search API and Agents
Browserbase Search is now powered by Parallel (@p0) as the default search provider.
Parallel Fast returns sub-second results when speed matters. Parallel Advanced goes deeper for multi-step research when quality matters most.
Ethan Kam retweeted
Every browsing session starts with a search.
Starting today, Parallel is the default search provider for @browserbase, powering their Search API and Agents.
Browserbase Search is now powered by Parallel (@p0) as the default search provider.
Parallel Fast returns sub-second results when speed matters. Parallel Advanced goes deeper for multi-step research when quality matters most.
Ethan Kam retweeted
Browserbase Search is now powered by Parallel (@p0) as the default search provider.
Parallel Fast returns sub-second results when speed matters. Parallel Advanced goes deeper for multi-step research when quality matters most.
we're betting on specialized data and wanted to better understand how and why it improves performance
two things stood out: agents did best finding sources on the open web and then pulling the records through connectors, and those structured records are much easier for them to read than web pages
Ethan Kam retweeted
I found 1 company since 2020 backed by all four of @sequoia, @IndexVentures, @kleinerperkins, @khoslaventures
that is closing the loop for knowledge work by giving high quality web infrastructure to AI models 🚀🤖
joined them @p0 🧡
Ethan Kam retweeted
most new grads in series a/b startups don’t understand their options contract
1. post-termination exercise period = need to put up lots of money before you leave your startup for your next thing. leaving_cost = num_options*strike + income_tax_rate*(current_fmv - strike)
2. you pay income tax or AMT on 409a valuation - strike price
you pay capital gains tax on sale price - 409a valuation. and the faster the company grows, the faster the 409a grows
talk to someone who’s left a startup before you sign your offer! (not another new grad!)
Ethan Kam retweeted
Say hello to the Parallel @discord.
Bring your questions, get early access to our latest launches, and show our community what you're shipping with Parallel.
Join here: discord.gg/53watNqt7
We've been testing the Decisions API for over a week. One of the coolest things was how many use cases the team found that just weren't practical before. We had to go back to every team and ask: what would you build with frontier intelligence at the cost of a tiny, tuned classifier?
It was near-perfect at filtering low-quality pages and hit 88.8% AUPRC on page change classification. Prompt tuning helped push even more performance out of the model
Excited to continue building!
Ethan Kam retweeted
life update: i moved back to sf from seattle, started TheSkyTile.com, selling a few hundred units a month, hand soldering, assembling, and shipping them from my 1bdrm apt. life is good
Ethan Kam retweeted
muse has spoken
Parallel 🤝 Muse
Parallel Free Search can now supercharge your Muse agent. Just paste this:
Install Parallel’s MCP via Streamable HTTP at search.parallel.ai/mcp - no API key or OAuth needed. Verify it connects and exposes web_search and web_fetch and prefer for web search
Ethan Kam retweeted
Opus 5.5 pro tip:
Use Parallel web search. It’s 🆓
Opus 5.5 is the best model at using the context retrieved from web search
Just run:
claude mcp add --transport http parallel-search search.parallel.ai/mcp
Claude Opus 5.5 takes the #1 spot on Parallel's Search Capability Leaderboard, with a +4.3 gain over the second-highest score from Opus 5.
Ethan Kam retweeted
Today we're launching Data Connectors in Parallel.
Your agents can now work with specialized third-party data through Parallel's best-in-class agentic web research APIs.
Our first partners are @AlliumLabs, @useapolloio, @Baselayerhq, @CarbonArcAI, @crunchbase, Faraday AI, @harmonic_ai, @MiddeskHQ, @Similarweb , @particle_news, @pensa_systems, and @Polymarket.
We're also launching free, opt-in access to biomedical sources including PubMed, ClinicalTrials.gov, and ChEMBL.
Ethan Kam retweeted
Claude Opus 5.5 takes the #1 spot on Parallel's Search Capability Leaderboard, with a +4.3 gain over the second-highest score from Opus 5.
