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Suhail
@Suhail
Founder @particle_api, Past: Founder @mixpanel Pizzatarian, engineer, music maker
728 Following    454.3K Followers
Now in OpenClaw - it was collaborating with them on this! We have a lot more updates to the model coming...
Independently validated in real-swe!
we benchmarked particle-1 on turns out you can achieve the same performance with 43% fewer tokens congrats @Suhail
Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.
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We are going to drive cost per task to zero. We will not allow a duopoly to tax humanity on intelligence. We trained on humanity’s data, the least we could do is give back and let everyone prosper.
I am very excited to see someone independently validate our claims on something we couldn’t train on and is real-world. Same performance capability, with way less tokens.
Particle-1 is #2# for efficiency on the Parallel Search Capability Leaderboard. It matches its base model, DeepSeek V4.1 Flash, on web research with Parallel Search (69.2 vs. 68.9) while using 42% fewer output tokens.
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We ran particle-1 through our Hacking Race today. While it was trained for coding and data work, not security, it still got working exploits on 2 of our 4 targets, with zero false positives on the patched versions. Strong first model from @Suhail and the team
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pretty impressive results on ReactBench!
Thank you everyone for your support! 🚀🫡❤️
Very excited to announce partnering with @OpenRouter and launching our Inference service. particle-1 is live! Please send us feedback. Will respond to all DMs if you find any issues. Happy to fix things.
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Fewer tokens, same work. Particle-1 from @particle_api uses 28–52% fewer output tokens than DeepSeek V4.1 Flash across four coding benchmarks, per Particle. Now on OpenRouter.
Boom 🚀 Excited to partner with Vercel and @rauchg
1/ Excited to announce our new company Particle This is our first step in a series of models focused on developers. With particle-1, we focused on token efficiency and managed to keep parity in performance while using ~45% fewer tokens. Live now:
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"Now all I get is hate mail all day sayin' Dre fell off What, 'cause I been in the lab with a pen and a pad Tryna get this damn label off? I ain't havin' that This is the millennium of..."
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New quest. New company. New model. It's time to ship this week.
🎯 Inference is not the same shape as a neocloud. You have many more levers to adapt to a variable market around compute prices.
Revenue per GPU can increase as token prices decline if per GPU token throughput increases enough. So both Anthropic revenue *and* margins can go up as token prices go down *if* GPU prices go up less than the product of (token price decline * per GPU throughput increase). But I have super enjoyed all the commentary to the contrary!
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We are nowhere near market optimum for flop efficiency. That NVIDIA GPUs can appreciate in price is a leading indicator that real competition hasn't showed up yet. To the degree you are racing to purchase and hoard compute at long timelines puts you at tremendous risk.
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Unfortunately, with access to an abliterated DeepSeek V4.1 model, there is little value to KYC holding back the frontier models now for cyber. In fact, making it hard to secure systems w extra friction in American Enterprise is hurtful to national security.
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What if we are in a RL env sandbox right now?
This is not a drill. *10x stronger* than fentanyl. I am just sharing it widely because I find this kind of thing very concerning and it's getting almost no attention.
A new synthetic opioid, cychlorphine, up to 10x stronger than fentanyl, has reached SF— and it doesn't register on fentanyl test strips. It has already taken the life of a 16 year old San Franciscan.
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