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Rich Counts @RichCounts

liquid.ai New York, NY Joined August 2009
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Rich Counts retweeted
ramin_m_h Profile Picture

Ramin @ramin_m_h

4 weeks ago

read this excellent view on the next phase of enterprise AI from our stellar COO, @jeffr3yli, in the Observer.

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Observer @observer

4 weeks ago

The next phase of A.I. will depend on agents that understand preferences, remember context and act proactively. That creates a new strategic question for companies: how much control are they willing to give A.I. platforms over the data powering those experiences?

Rich Counts retweeted
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TechCrunch @TechCrunch

a month ago

MacPaw is building a local version of its AI assistant Eney using Liquid AI's models. spr.ly/6015B16bRV

Rich Counts retweeted
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Liquid AI @liquidai

2 months ago

Today we release LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: bidirectional encoders that stay fast at long context, even on CPU. > LFM2.5-Encoder-230M: about 3.7x faster than ModernBERT-base on CPU at 8,192 tokens. Under 30s per forward pass, versus over a minute and a half. > LFM2.5-Encoder-350M: 4th of 14 models on GLUE, SuperGLUE, and multilingual classification, behind only three larger models, one of them nearly 10x its size. 🧵

Rich Counts retweeted
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Liquid AI @liquidai

2 months ago

In strong support of open-weight AI and American AI leadership, we are proud contributors to the open-source community and excited to announce that Liquid Foundation Models (LFMs) have surpassed 40 million downloads by the community! Going forward, we remain committed to accelerating the open-weight release of the next generation of lightweight, powerful LFMs to the world. excited to see what you build with them! liquid.ai/models

Rich Counts retweeted
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Liquid AI @liquidai

2 months ago

We doubled LFM2.5-8B-A1B's tokenizer from 65K to 128K to fix the languages it split too finely. Today we're sharing the recipe for upgrading a pretrained model's tokenizer in place. > Thai now takes 4.0× fewer tokens, Vietnamese 2.6×, Hindi 2.4× > Est. 2.2 to 3.7× faster per-character decoding on-device for these languages 🧵

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Rich Counts @RichCounts

2 months ago

The Fastest AI on My Mac Isn’t Claude, GPT, or Llama. It’s This Tiny 230M Model. by @anupkaranjkar08 medium.com/macoclock/the-… @liquidai

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Rich Counts @RichCounts

2 months ago

🖤🕊️ RIP Albert H. George virginislandsdailynews.com/obituaries/alb…

Rich Counts retweeted
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Liquid AI @liquidai

3 months ago

Introducing LFM2.5-230M: our smallest model yet, built to run fast anywhere (CPUs, NPUs, and GPUs) to enable agentic tasks on phones, robots, home and network automation devices. > 230M parameters, built on the LFM2 architecture > Pre-trained on 19T tokens, with a 32K context extension > Post-trained with distillation from LFM2.5-350M > 213 tok/s decode speed on Galaxy S25 Ultra (CPU) > 42 tok/s on a Raspberry Pi 5 (CPU) > Competes with and often beats models more than twice its size on instruction following, data extraction, and tool use. > use it for large-scale data extraction pipelines or lightweight on-device agentic workloads. 🧵

Rich Counts retweeted
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CC Sabathia @CC_Sabathia

4 months ago

Everybody is better than Jalen Brunson til it’s time to be better than Jalen Brunson… LFG @nyknicks!!!

Rich Counts retweeted
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Liquid AI @liquidai

4 months ago

Today, we're releasing LFM2.5-8B-A1B, a device-optimized model designed to power real-life applications on phones, laptops, PCs, robots, and fast & lightweight server-side use-cases. > 8B MoE, 1.5B active > Expanded 128K context > LFM2.5 flagship hybrid MoE architecture > Trained on 38T tokens + large-scale RL > fast, reliable tool calling, punching above its weight, comparable to models with up to 4x its size > customizable on a single GPU for any specialized task > LFM2 open-weight license 🧵

Rich Counts retweeted
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Liquid AI @liquidai

4 months ago

AI demand is growing exponentially. The energy to power it isn't. Kicking off a new series where our CTO Mathias Lechner (@mlech26l) sits down with the team to talk about what they're building. First up: Our CEO Ramin Hasani (@ramin_m_h) on the demand-energy gap, and what it takes to close it.

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Rich Counts @RichCounts

4 months ago

AI Infra has a memory problem and we have a Liquid solution for it! raminmh.substack.com/p/ai-infra-has…

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Rich Counts @RichCounts

5 months ago

Liquid AI and Mercedes-Benz partner to scale embedded in-car intelligence liquid.ai/press/liquid-a…

Rich Counts retweeted
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Stripe @stripe

8 months ago

We’re working with @Microsoft to power shopping in @Copilot. Users in the US can now buy from @Etsy, @UrbanOutfitters, and @Anthropologie without leaving the chat.

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Rich Counts @RichCounts

2 years ago

Last week at @stripe Tour NY, we announced a host of new users, like @nvidia, @pepsico, @cloudflare, @forbes, @amc_networks, and @rivian amongst several new product launches. Read more here: stripe.com/blog/our-top-p…

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Rich Counts @RichCounts

2 years ago

@FOS Sounds like a deal to me!

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Rich Counts @RichCounts

2 years ago

99.999% uptime status.stripe.com @stripe

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Stripe @stripe

2 years ago

How Stripe’s document databases supported 99.999% uptime with zero-downtime data migrations: stripe.com/blog/how-strip….

Rich Counts retweeted
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MLB Network @MLBNetwork

2 years ago

"I'm just grateful and thankful that I was able to spend the time I had with him because he is a true giant, on and off the field." - Ken Griffey Jr. on Willie Mays

RichCounts Profile Picture

Rich Counts @RichCounts

2 years ago

Stripe Sessions Keynote: youtube.com/watch?v=j_esVV… @stripe @urbn @AnthropicAI @LightspeedHQ #payments

RichCounts Profile Picture

Rich Counts @RichCounts

2 years ago

. @urbn partners with @stripe to power online and in-person retail payments stripe.com/newsroom/news/…

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