Decision models are fast becoming a dependable layer in AI agents and apps, helping them call tools, route requests, or run commands in near real time.
We train ours on @Alibaba_Qwen models and @alibaba_cloud infrastructure, backed by our ACL 2026 research on reliable synthetic data.
The result is THIS / THAT Model, an open-source decision model that beats much larger models in accuracy and speed.
Here's how👇
We’re heading to GITEX Global 2026 in Dubai, 8–11 December.
FLock will showcase our enterprise AI solutions that help organisations build and govern tailored AI for their specific business needs, with data privacy built in.
We are part of the UK Pavilion, delivered by @techUK and the Department for Business, Innovation, Science and Trade (@biztradegovuk) and Tradefair.
We can’t wait to see you there!
Local vs. local decision models. One bay warehouse rule, reworded 11 ways.
“A bay is eligible only if its handling is frozen.”
“Bays without frozen handling are ineligible.”
THIS/THAT 1.2 picked the right bay 93% of the time. Laya: 13%.
Somewhere, ice cream is melting.
FLock.io retweeted
In disaster relief, climate insurance, or emergency cash transfers, speed isn't a convenience⏱️
Delays can mean families not eating, taking on debt, or even selling their home to get by
Tiffany Wang of @flock_io on why speed is a top priority in web3 humanitarian projects ⏩🌐
“Why don’t we just anonymise the data?”
Because it can remove data the model needs.
Federated learning enables collaborative training while keeping raw data local. Blockchain coordinates validation and rewards, encouraging honest contributions as training scales across distributed nodes.
That's what FLock does.
@TiffanyWang98 on @blockdropspod 🎙️
Fancy owning your own decision model?
Want to get ahead of the competition by running your own model like this one – and using zero tokens?
Only FLock can do.
My DMs are open!
FLock.io retweeted
Catch me at NVIDIA GTC in Berlin! NVIDIA’s new hardware makes private AI even easier to implement - you have no excuse! 😁
Local vs. local decision models. One bay warehouse rule, reworded 11 ways.
“A bay is eligible only if its handling is frozen.”
“Bays without frozen handling are ineligible.”
THIS/THAT 1.2 picked the right bay 93% of the time. Laya: 13%.
Somewhere, ice cream is melting.
Try THIS / THAT 1.2 for free on FLock API Platform: platform.flock.io/models?typ…
Not your models
Not your AI
DM’s open, feel free to build your very own private AI with FLock.
Small models, huge impact. Excited to power @flock_io's high-performance decision model with Qwen & our cloud infrastructure.
LLMs are good at explaining. Most of what runs inside a product needs a decision.
A support ticket comes down to three: which team, refund or not, how urgent.
THIS / THAT makes each one in under 32 ms, locally on your own device. No paragraph to parse.
DeepSeek V4.1 Flash 1017 is now on FLock API Platform. 80% off during peak hours! ⚡
@deepseek_ai’s latest update brings stronger benchmark results, faster task completion and shorter outputs.
Reinforcement learning with self-feedback improves project development, with demos including a 3D Forbidden City and a Portal 2 recreation in Godot.
Optimised for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy and more.
Try it alongside other leading models through a single endpoint on FLock API Platform👇
THIS / THAT on @hackernoon
What if AI could make decisions in milliseconds without sending data to the cloud?
@flock_io's open-source THIS/THAT model runs locally on edge devices, delivering low-latency inference for structured decisions: hackernoon.com/flockio-launc…











