Fireworks(@FireworksAI_HQ)

Reinforcement learning at @cognition's scale is a hard infrastructure problem. We are proud to be pa...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 22:40:06 GMT

Reinforcement learning at @cognition's scale is a hard infrastructure problem. We are proud to be part of the stack behind it.

Congrats to the team on SWE-2!

Read more about how we think about RL at Fireworks: fireworks.ai/blog/frontier-…

Cognition@cognition

Introducing SWE-2, our closest model yet to the frontier.

On leading evals, it scores on par with recent frontier models – at up to 70% lower cost.

We scaled RL to multiple trillions of parameters, with a refined recipe that pushes the Pareto curve on both capabilities & cost.

🔗 View Quoted Tweet

💬4🔄5❤️71👀6387📊12

⚡ Powered by xgo.ing

Recently, we hosted our 12th Nerd Meetup, this time at @lightfld 's office in SF. Builders came ou...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 22:06:58 GMT

Recently, we hosted our 12th Nerd Meetup, this time at @lightfld 's office in SF. 

Builders came out from Lightfield, @qdrant_engine, and Fireworks.

Building in the AI/infra space and want to join us for the next meetup?

Follow along. We'll announce the next one soon!

💬1🔄0❤️8👀1278📊2

⚡ Powered by xgo.ing

GLM-5.3 is now available for training on Fireworks Dedicated Training API and Managed Training surfa...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 20:34:19 GMT

GLM-5.3 is now available for training on Fireworks Dedicated Training API and Managed Training surfaces.

Built for complex coding and long-horizon agents and now available to train on our dedicated infrastructure.

Get started today:
docs.fireworks.ai/fine-tuning/tr…

💬0🔄0❤️27👀1876📊4

⚡ Powered by xgo.ing

Deepseek-V4.1-Flash is available now on Fireworks! It is a 552B Parameter MoE built for coding, c...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 19:56:36 GMT

Deepseek-V4.1-Flash is available now on Fireworks!  

It is a 552B Parameter MoE built for coding, cybersecurity, and agents. It is the ideal workhorse model that outperforms Opus 5 and GPT 5.6 Sol at 1/40th the cost on DeepSWE,CyberGym, and Automation Bench!  

Interested in higher quality? Reach out, as we’re bringing this model to Fireworks Training soon.  

Try Deepseek-V4.1-Flash now on Fireworks:
fireworks.ai/models/deepsee…

💬5🔄8❤️119👀5612📊21

⚡ Powered by xgo.ing

Deepseek-V4.1-Flash is available now on Fireworks! It is a 552B Parameter MoE built for coding, cyb...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 17:44:31 GMT

Deepseek-V4.1-Flash is available now on Fireworks!

It is a 552B Parameter MoE built for coding, cybersecurity, and agents. It is the ideal workhorse model that outperforms Opus 5 and GPT 5.6 Sol at 1/40th the cost on DeepSWE,CyberGym, and Automation Bench!

Interested in higher quality? Reach out, as we’re bringing this model to Fireworks Training soon.

Try Deepseek-V4.1-Flash now on Fireworks: fireworks.ai/models/deepsee…

💬7🔄7❤️73👀2859📊18

⚡ Powered by xgo.ing

The durable advantage is Genspark’s definition of a good deck: it lives in their evaluation, so they...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 16:18:17 GMT

The durable advantage is Genspark’s definition of a good deck: it lives in their evaluation, so they can retrain against it each time a stronger base model lands.

Own the intelligence at the core of your product and the quality ceiling is yours to raise.

Full write-up: fireworks.ai/blog/gen-1-sli…

💬0🔄2❤️6👀1186📊2

⚡ Powered by xgo.ing

The hardest bugs were numerical. Long-horizon RL drifts when the engine generating rollouts and the ...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 16:18:17 GMT

The hardest bugs were numerical. Long-horizon RL drifts when the engine generating rollouts and the one scoring them stop assigning the same probabilities to the same tokens. Aligning tokenization across both kept the training signal trustworthy.

💬1🔄0❤️1👀510📊1

⚡ Powered by xgo.ing

Fireworks Lab co-developed the RL algorithm with Genspark and ran the training on frontier-grade inf...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 16:18:17 GMT

Fireworks Lab co-developed the RL algorithm with Genspark and ran the training on frontier-grade infrastructure.

Our embedded researchers engineered the reward, ran 100+ experiments, and read trajectories to catch the model gaming the score.

💬1🔄0❤️1👀398📊1

⚡ Powered by xgo.ing

Genspark owned the product judgment. They brought their real production environment into training a...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 16:18:16 GMT

Genspark owned the product judgment.

They brought their real production environment into training and shaped what the model optimized for: the standard for a good deck, the design principles behind it, and how to sharpen that standard over time.

💬1🔄0❤️1👀577📊1

⚡ Powered by xgo.ing

Introducing Gen-1 Slides: an open model that matches Claude Opus 5 on slide generation, at ~1/17 of ...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 16:18:16 GMT

Introducing Gen-1 Slides: an open model that matches Claude Opus 5 on slide generation, at ~1/17 of its input-token price.

@genspark_ai post-trained it from a @MiniMax_AI M3 base with Fireworks Lab using long-horizon RL. Live today as the default in Genspark AI Slides. 🧵

💬6🔄10❤️100👀8480📊29

⚡ Powered by xgo.ing

Today, 10am PDT: we'll cover the journey from renting closed frontier models to owning your speciali...

Fireworks (@FireworksAI_HQ) — Thu, 10 Sep 2026 15:01:47 GMT

Today, 10am PDT: we'll cover the journey from renting closed frontier models to owning your specialized intelligence, with a practical framework for knowing when to make the leap.

Includes open Q&A w/ Head of AI Developer Education @Prof_OZ

Register: https://t.co/LyPnenw623

💬3🔄0❤️7👀1518📊4

⚡ Powered by xgo.ing

Renting a closed model + a brittle, overfit harness only gets you so far. Routing to open models he...

Fireworks (@FireworksAI_HQ) — Wed, 09 Sep 2026 22:38:19 GMT

Renting a closed model + a brittle, overfit harness only gets you so far.

Routing to open models helps quality, cost, and latency, but you hit a ceiling.

Most ambitious AI teams train their taxonomy, style, and judgment into models they own.

Read more: fireworks.ai/blog/making-th…

💬3🔄3❤️17👀2228📊6

⚡ Powered by xgo.ing

We invite you to Forge. At Forge, we will challenge you to make your own frontier. You'll spe...

Fireworks (@FireworksAI_HQ) — Tue, 08 Sep 2026 21:35:11 GMT

We invite you to Forge.  

At Forge, we will challenge you to make your own frontier.   

You'll spend the day with the builders, researchers, and technical leaders pushing AI forward.  

Lin Qiao. Jensen Huang. Jay Parikh. And more.  

Apply to attend: fireworks.ai/forge

💬0🔄17❤️102👀134703📊25

⚡ Powered by xgo.ing

We invite you to Forge. At Forge, we will challenge you to make your own frontier. You'll spend t...

Fireworks (@FireworksAI_HQ) — Tue, 08 Sep 2026 21:17:26 GMT

We invite you to Forge.

At Forge, we will challenge you to make your own frontier. 

You'll spend the day with the builders, researchers, and technical leaders pushing AI forward.

Jensen Huang. Lin Qiao. Michele Catasta. And more..

Apply to attend: fireworks.ai/forge

💬0🔄0❤️0👀117

⚡ Powered by xgo.ing

Congrats to one of our Kimi K3 Fire Pass Community Hackathon winners @sethsaler for his winning entr...

Fireworks (@FireworksAI_HQ) — Tue, 08 Sep 2026 18:21:50 GMT

Congrats to one of our Kimi K3 Fire Pass Community Hackathon winners @sethsaler for his winning entry: Dayprint!

Our Head of AI Developer Education, the esteemed @Prof_OZ,  walks through Seth's entry with live commentary.

#kimik3onfireworks

Your browser does not support the video tag.

🔗 View on Twitter

Seth Saler@sethsaler

Inspired by all the cool projects I've seen lately on X, dayprint brings your personal context together to plan your day, review your performance, and synthesize how your week went.

My entry for #KimiK3onFireworks ↓ @FireworksAI_HQ

Your browser does not support the video tag.

🔗 View on Twitter

🔗 View Quoted Tweet

💬2🔄1❤️9👀2841📊3

⚡ Powered by xgo.ing

Our partners at @CosineAI train their own coding model on real production code, for languages like F...

Fireworks (@FireworksAI_HQ) — Tue, 08 Sep 2026 15:48:31 GMT

Our partners at @CosineAI train their own coding model on real production code, for languages like Fortran and Verilog that generic models fumble. 

On cost per successful task, their Lumen Outpost model beats GPT-5.5 by more than 3x. The whole pipeline runs on Fireworks Training. 

Build your own frontier: fireworks.ai/training

💬0🔄0❤️9👀1765📊1

⚡ Powered by xgo.ing

Our Head of AI Developer Education @Prof_OZ is back with a new series! He’ll cover the journey fro...

Fireworks (@FireworksAI_HQ) — Fri, 04 Sep 2026 21:48:50 GMT

Our Head of AI Developer Education @Prof_OZ is back with a new series! 

He’ll cover the journey from renting closed frontier models to owning your specialized intelligence, with a practical framework for knowing when to make the leap.

Register here: fireworks.ai/event/webinar-…

💬1🔄0❤️13👀2667📊4

⚡ Powered by xgo.ing

Our co-founder @the_bunny_chen sat down with @FirasSozan to talk about why strong open models increa...

Fireworks (@FireworksAI_HQ) — Fri, 04 Sep 2026 16:54:35 GMT

Our co-founder @the_bunny_chen sat down with @FirasSozan to talk about why strong open models increase compute demand, not the other way around.

Watch the episode: youtu.be/qb58MI9i1nE?si…

💬1🔄1❤️21👀3480📊4

⚡ Powered by xgo.ing

Research doesn’t end in right or wrong, but in insights that lead to more questions. General-purpo...

Fireworks (@FireworksAI_HQ) — Thu, 03 Sep 2026 20:36:00 GMT

Research doesn’t end in right or wrong, but in insights that lead to more questions. 

General-purpose models aren’t fit for research because they don’t know customers’ workflows.

@quadrillionlabs trains large custom models on its proprietary data using the Training API so its agent fits how researchers actually work. 

Build your own frontier: fireworks.ai/training

💬2🔄2❤️14👀3052📊5

⚡ Powered by xgo.ing

We're going to need a bigger park. Fireworks is hiring across all teams. Check out our careers page...

Fireworks (@FireworksAI_HQ) — Thu, 03 Sep 2026 19:33:05 GMT

We're going to need a bigger park.

Fireworks is hiring across all teams. Check out our careers page, and come shape the future of AI with us!

See you soon: fireworks.ai/careers

💬4🔄0❤️23👀2890📊7

⚡ Powered by xgo.ing

A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. @Macroscop...

Fireworks (@FireworksAI_HQ) — Wed, 02 Sep 2026 16:00:01 GMT

A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. 

@Macroscope got the control they needed with the Fireworks Training API to train a model using their own advantages and loss to improve the signal-to-noise ratio. 

Build your own frontier: fireworks.ai/training

💬2🔄5❤️22👀3358📊6

⚡ Powered by xgo.ing

Our partners @LangChain generate billions of tokens of agent traces a day, their richest signal on h...

Fireworks (@FireworksAI_HQ) — Tue, 01 Sep 2026 19:15:00 GMT

Our partners @LangChain generate billions of tokens of agent traces a day, their richest signal on how real users react. 

Judging every one with a frontier closed model like GPT-5.5 or Opus is too costly, so they fine-tuned a Qwen base model on Fireworks that matches it at up to 100x lower cost. 

Build your own frontier: fireworks.ai/training

💬8🔄4❤️38👀6180📊14

⚡ Powered by xgo.ing

DeepSeek V4 Flash now comes with native vision on Fireworks. Available now on serverless and priori...

Fireworks (@FireworksAI_HQ) — Tue, 01 Sep 2026 18:00:00 GMT

DeepSeek V4 Flash now comes with native vision on Fireworks.

Available now on serverless and priority tiers.

Better benchmarks than the text-only 0731 version at the same low price: $0.22 input / $0.66 output per 1M.

Give your workhorse model eyes.

Try it today → fireworks.ai/models/deepsee…

💬7🔄7❤️107👀6310📊23

⚡ Powered by xgo.ing

DeepSeek V4 Flash now comes with native vision on Fireworks. Available now on serverless and priori...

Fireworks (@FireworksAI_HQ) — Tue, 01 Sep 2026 17:13:57 GMT

DeepSeek V4 Flash now comes with native vision on Fireworks.

Available now on serverless and priority tiers.

Better benchmarks than the text-only 0731 version at the same low price: $0.22 input / $0.66 output per 1M.

Give your workhorse model eyes.

Try it today → fireworks.ai/models/deepsee…

💬0🔄4❤️11👀535📊3

⚡ Powered by xgo.ing

Train past the frontier. @tryheidi's ambient scribe drafts a clinical note the clinician has to tru...

Fireworks (@FireworksAI_HQ) — Tue, 01 Sep 2026 16:42:49 GMT

Train past the frontier.

@tryheidi's ambient scribe drafts a clinical note the clinician has to trust enough to sign. They fine-tuned open models on Fireworks whose notes their clinicians preferred over Gemini’s in side-by-side reviews, at 3.5x lower latency.  

Build your own frontier: fireworks.ai/training

💬2🔄2❤️21👀1811📊5

⚡ Powered by xgo.ing

A secret that leaks into shipped code is a breach waiting to happen. @FactoryAI's droids write and...

Fireworks (@FireworksAI_HQ) — Mon, 31 Aug 2026 20:27:49 GMT

A secret that leaks into shipped code is a breach waiting to happen. 

@FactoryAI's droids write and commit code faster than any reviewer can keep up, so Droid Shield has to be trustworthy and low-friction: catch the real secrets, clear the false alarms.

With the Training API, Factory fine-tuned an open Qwen model that caught almost 20% more real secrets than GPT-5.5 at lower cost and latency. 

Build your own frontier: fireworks.ai/training

💬2🔄3❤️30👀6583📊8

⚡ Powered by xgo.ing

All week we’re spotlighting teams training past the frontier on Fireworks. @Figma’s AI team is shi...

Fireworks (@FireworksAI_HQ) — Mon, 31 Aug 2026 17:16:11 GMT

All week we’re spotlighting teams training past the frontier on Fireworks. 

@Figma’s AI team is shipping features that change how millions of people design, and with the Training API they can iterate faster. Less time debugging infra, more time on research.   

Build your own frontier: fireworks.ai/training

💬0🔄3❤️24👀3838📊5

⚡ Powered by xgo.ing

→ rollout throughput: generation speed and GPU utilization → weight sync: fresh weights on the rollo...

Fireworks (@FireworksAI_HQ) — Mon, 31 Aug 2026 15:33:18 GMT

→ rollout throughput: generation speed and GPU utilization
→ weight sync: fresh weights on the rollout deployment every step
→ correctness: trainer and inference engine agreeing on the same model

Cofounder @jamesr66a on how we built Fireworks for all three: youtu.be/tTizjOU5BLs

💬1🔄0❤️7👀1420📊2

⚡ Powered by xgo.ing

Today, we also open the door to Fireworks Lab: Embed forward-deployed researchers and engineers to c...

Fireworks (@FireworksAI_HQ) — Mon, 31 Aug 2026 15:33:18 GMT

Today, we also open the door to Fireworks Lab: Embed forward-deployed researchers and engineers to co-design or build your model for you.

Join leaders like @cursor_ai, @harvey, @figma, @vercel, @cognition, @factoryai, and @tryheidi beating the frontier with Fireworks.

Learn more → fireworks.ai/blog/train-pas…

💬0🔄0❤️3👀936📊1

⚡ Powered by xgo.ing

Train, sample, serve, retrain on one platform, built for reinforcement learning (RL) at scale. RL ...

Fireworks (@FireworksAI_HQ) — Mon, 31 Aug 2026 15:33:17 GMT

Train, sample, serve, retrain on one platform, built for reinforcement learning (RL) at scale. 

RL couples training and inference into one loop: sample rollouts, score them, update the weights, resample. Doing that well at scale comes down to three things.

💬1🔄0❤️0👀2📊1

⚡ Powered by xgo.ing

The most ambitious companies are training models to outperform the frontier on the capabilities that...

Fireworks (@FireworksAI_HQ) — Mon, 31 Aug 2026 15:33:16 GMT

The most ambitious companies are training models to outperform the frontier on the capabilities that differentiate their business.

Today, we announce the general availability of our Training API and Fireworks Lab, making model specialization accessible to all organizations.

💬2🔄17❤️97👀39902📊27

⚡ Powered by xgo.ing

GLM-5.3-Flash: GA on Fireworks. We held it two days over a reasoning-length gap we couldn't explain....

Fireworks (@FireworksAI_HQ) — Sat, 29 Aug 2026 06:50:32 GMT

GLM-5.3-Flash: GA on Fireworks.
We held it two days over a reasoning-length gap we couldn't explain. Same weights ≠ same model. Quality first.
Start building → fireworks.ai/models/firewor…

💬20🔄20❤️246👀20375📊59

⚡ Powered by xgo.ing

GLM 5.3 is now live on Fireworks, day zero: → 50% improvement over GLM 5.2 on https://t.co/wQkYTEKz...

Fireworks (@FireworksAI_HQ) — Fri, 28 Aug 2026 23:28:35 GMT

GLM 5.3 is now live on Fireworks, day zero:

→ 50% improvement over GLM 5.2 on Z.ai’s Code Bench
→ State-of-the-art open-weight performance on cybersecurity tasks
→ Excels at complex coding and long-horizon tasks
→ US-Hosted Serverless on Fireworks

Try it now: fireworks.ai/models/firewor…

💬18🔄16❤️307👀21765📊62

⚡ Powered by xgo.ing

Congratulations to @LotusDecoder for their winning submission to the Kimi K3 Community Hackathon. T...

Fireworks (@FireworksAI_HQ) — Thu, 27 Aug 2026 23:49:15 GMT

Congratulations to @LotusDecoder for their winning submission to the Kimi K3 Community Hackathon.

Their entry, MedRecap, gets the full @Prof_OZ hackathon judging treatment here:

Sinan Ozdemir@Prof_OZ

Congratulations on being one of our winners! I took a look and was very impressed :) I'm curious where you got the inspiration for this!

Your browser does not support the video tag.

🔗 View on Twitter

🔗 View Quoted Tweet

💬2🔄2❤️17👀5268📊4

⚡ Powered by xgo.ing

The performance came without a cost penalty: Tenet runs at $5.92 per LAB task vs $5.62 for base Kimi...

Fireworks (@FireworksAI_HQ) — Wed, 26 Aug 2026 17:12:24 GMT

The performance came without a cost penalty: Tenet runs at $5.92 per LAB task vs $5.62 for base Kimi K3, effectively flat, while completing nearly twice as many tasks. 

That comes from open-weight per-token pricing and reward shaping for token efficiency.

💬1🔄0❤️2👀550📊1

⚡ Powered by xgo.ing

Tenet came out of a close collaboration with @ItsJulioPereyra @nikogrupen @calvincongelado @gabepere...

Fireworks (@FireworksAI_HQ) — Wed, 26 Aug 2026 17:12:24 GMT

Tenet came out of a close collaboration with @ItsJulioPereyra@nikogrupen@calvincongelado@gabepereyra: many base models, recipes, and data approaches; many runs, rollbacks, and harness revisions to reach this checkpoint.

We’re so grateful for the partnership!

fireworks.ai/blog/post-trai…

💬0🔄0❤️4👀546📊1

⚡ Powered by xgo.ing

Recently @Harvey introduced Tenet, its first model, trained for long horizon legal work. Harvey pos...

Fireworks (@FireworksAI_HQ) — Wed, 26 Aug 2026 17:12:23 GMT

Recently @Harvey introduced Tenet, its first model, trained for long horizon legal work.

Harvey post-trained it from a Kimi K3 base in collaboration with Fireworks using async RL on our Training API.

A thread on promising initial results for both performance and cost-efficiency🧵

💬7🔄6❤️41👀8958📊16

⚡ Powered by xgo.ing

The performance came without a cost penalty: Tenet runs at $5.92 per LAB task vs $5.62 for base Kimi...

Fireworks (@FireworksAI_HQ) — Wed, 26 Aug 2026 17:01:38 GMT

The performance came without a cost penalty: Tenet runs at $5.92 per LAB task vs $5.62 for base Kimi K3, effectively flat, while completing nearly twice as many tasks. 

That comes from open-weight per-token pricing and reward shaping for token efficiency.

💬1🔄0❤️0👀358📊1

⚡ Powered by xgo.ing

Tenet came out of a close collaboration with @PereyraJulio @nikogrupen @calvincongelado @gabepereyra...

Fireworks (@FireworksAI_HQ) — Wed, 26 Aug 2026 17:01:38 GMT

Tenet came out of a close collaboration with @PereyraJulio@nikogrupen@calvincongelado@gabepereyra: many base models, recipes, and data approaches; through many runs, rollbacks, and harness revisions to reach this checkpoint.

We’re so grateful for the partnership!

fireworks.ai/blog/post-trai…

💬0🔄0❤️2👀359

⚡ Powered by xgo.ing

Your closed model refused a task it should have done. Ours didn't. DeepSeek V4 Pro on Fireworks: b...

Fireworks (@FireworksAI_HQ) — Wed, 26 Aug 2026 01:41:13 GMT

Your closed model refused a task it should have done.

Ours didn't.

DeepSeek V4 Pro on Fireworks: beats Fable 5 on SWE-Bench and LiveCodeBench, a third of the cost per solved task, and it doesn't decline legitimate security-review work.

Read more: fireworks.ai/blog/DeepSeekV…

💬7🔄5❤️108👀7805📊24

⚡ Powered by xgo.ing

Model reliability is the #1 reason agents fail to complete a task. Frontier models demonstrate capa...

Fireworks (@FireworksAI_HQ) — Tue, 25 Aug 2026 16:27:08 GMT

Model reliability is the #1 reason agents fail to complete a task.

Frontier models demonstrate capability, then can't deliver consistently at production scale.

Sept 2, NYC: Learn to train a real model yourself, then upload it to @Azure Foundry.

luma.com/fw.models.nyc

💬1🔄1❤️4👀2267📊2

⚡ Powered by xgo.ing

In case you missed it, this is happening tomorrow!

Fireworks (@FireworksAI_HQ) — Tue, 25 Aug 2026 00:54:24 GMT

In case you missed it, this is happening tomorrow!

Fireworks@FireworksAI_HQ

Join Fireworks & @LangChain on August 25th for an exclusive hands-on workshop!

Learn to build custom eval models for LangSmith and scale your observability stack to supercharge performance.

After that? Rooftop happy hour.  

Let's go: https://t.co/V86urk4evf

🔗 View Quoted Tweet

💬0🔄1❤️12👀3036📊1

⚡ Powered by xgo.ing

Check out these talks from last month's Nerd Meetup, this time at @posthog's office in SF. @Runloo...

Fireworks (@FireworksAI_HQ) — Mon, 24 Aug 2026 21:46:15 GMT

Check out these talks from last month's Nerd Meetup, this time at @posthog's office in SF. 

@Runloop - Coordinating shared state for multiplayer agents 
Reboot.dev - How the architecture of code decides whether AI-written code succeeds 
Fireworks - Reproducing J-lens on Kimi K3 and Qwen 3.5

Sound like something you'd be interested in? Stay tuned for more info.

Your browser does not support the video tag.

🔗 View on Twitter

💬1🔄1❤️11👀2145📊3

⚡ Powered by xgo.ing

We're going global. What are you waiting for? → https://t.co/bUweMxMq9L

Fireworks (@FireworksAI_HQ) — Mon, 24 Aug 2026 19:30:55 GMT

We're going global. 

What are you waiting for?

→ fireworks.ai/careers

Dimi Nikolaou@diminikola0u

I've joined @FireworksAI_HQ as Field CTO & Europe Lead. Will be building Europe and setting up the FDE Org. Have not been this excited about an industry/space for a long time (ever?) and pumped to get to work. Hiring across every role in London, comment or dm if u want more!

🔗 View Quoted Tweet

💬2🔄1❤️42👀6115📊6

⚡ Powered by xgo.ing

https://t.co/2rKmMuZmxQ

Fireworks (@FireworksAI_HQ) — Fri, 21 Aug 2026 20:55:36 GMT

x.com/LotusDecoder/s…

LotusDecoder@LotusDecoder

#KimiK3onFireworks

I built MedRecap, a home medication reconciliation assistant, with Kimi K3 on @FireworksAI_HQ.

Upload photos of your pill bottles, prescriptions, and visit notes, and it organizes everything into one medication list, flags discrepancies across the records, and uses FDA drug labels to surface questions worth confirming with a doctor or pharmacist.

All demo data is fictional. 👇

I originally planned to build an outdoor hiking guide. Then I discovered a mature product already doing it well, so I switched ideas close to the deadline.

The core of MedRecap was built by K3 through Cursor IDE Agent, covering the frontend, backend, image understanding, and report workflow. I spent about $20 on API usage.

What impressed me most is how capable open-source models have become at delivering a complete web app, and how stable the @FireworksAI_HQ API was across vision tasks and multi-turn workflows.

Your browser does not support the video tag.

🔗 View on Twitter

🔗 View Quoted Tweet

💬2🔄1❤️2👀1069📊2

⚡ Powered by xgo.ing

https://t.co/dBTANelPtH

Fireworks (@FireworksAI_HQ) — Fri, 21 Aug 2026 20:55:36 GMT

x.com/seanchenqt/sta…

Sean@seanchenqt

What's for dinner? I let Kimi K3 answer — literally.

FridgeChef: snap your fridge, K3 finds the ingredients + plans dinner. The whole app was CODED by K3 too.

Demo + try it live: fridgechef.qtkiwi.com@FireworksAI_HQ#KimiK3onFireworks

🔗 View Quoted Tweet

💬1🔄0❤️1👀626📊1

⚡ Powered by xgo.ing

Congrats to the winners of our Kimi K3 Fire Pass Build Contest! - FridgeChef by @seanchenqt - ...

Fireworks (@FireworksAI_HQ) — Fri, 21 Aug 2026 20:55:34 GMT

Congrats to the winners of our Kimi K3 Fire Pass Build Contest!
    
- FridgeChef by @seanchenqt 
- MedRecap by @LotusDecoder  
- Dayprint by @sethsaler 
- NotiBridge by @ingwannu1234 
- LastLook by @_olegpulatov

Check out the entries in the thread below:

Your browser does not support the video tag.

🔗 View on Twitter

💬10🔄4❤️33👀7183📊16

⚡ Powered by xgo.ing

https://t.co/dBTANelPtH

Fireworks (@FireworksAI_HQ) — Fri, 21 Aug 2026 20:15:31 GMT

x.com/seanchenqt/sta…

Sean@seanchenqt

What's for dinner? I let Kimi K3 answer — literally.

FridgeChef: snap your fridge, K3 finds the ingredients + plans dinner. The whole app was CODED by K3 too.

Demo + try it live: fridgechef.qtkiwi.com@FireworksAI_HQ#KimiK3onFireworks

🔗 View Quoted Tweet

💬0🔄0❤️0👀451

⚡ Powered by xgo.ing

https://t.co/2rKmMuZmxQ

Fireworks (@FireworksAI_HQ) — Fri, 21 Aug 2026 20:15:30 GMT

x.com/LotusDecoder/s…

LotusDecoder@LotusDecoder

#KimiK3onFireworks

I built MedRecap, a home medication reconciliation assistant, with Kimi K3 on @FireworksAI_HQ.

Upload photos of your pill bottles, prescriptions, and visit notes, and it organizes everything into one medication list, flags discrepancies across the records, and uses FDA drug labels to surface questions worth confirming with a doctor or pharmacist.

All demo data is fictional. 👇

I originally planned to build an outdoor hiking guide. Then I discovered a mature product already doing it well, so I switched ideas close to the deadline.

The core of MedRecap was built by K3 through Cursor IDE Agent, covering the frontend, backend, image understanding, and report workflow. I spent about $20 on API usage.

What impressed me most is how capable open-source models have become at delivering a complete web app, and how stable the @FireworksAI_HQ API was across vision tasks and multi-turn workflows.

Your browser does not support the video tag.

🔗 View on Twitter

🔗 View Quoted Tweet

💬1🔄0❤️0👀507📊1

⚡ Powered by xgo.ing

Congrats to the winners of our Kimi K3 Fire Pass Build Contest! - FridgeChef by @seanchenqt42 - ...

Fireworks (@FireworksAI_HQ) — Fri, 21 Aug 2026 20:15:29 GMT

Congrats to the winners of our Kimi K3 Fire Pass Build Contest!
  
- FridgeChef by @seanchenqt42 
- MedRecap by @LotusDecoder33 
- Dayprint by @sethsaler34 
- NotiBridge by @ingwannu123435 
- LastLook by @_olegpulatov 

Check out the entries in the thread below:

Your browser does not support the video tag.

🔗 View on Twitter

💬5🔄1❤️4👀607📊6