HarrisonAIX

Private AI solutions for businesses. Custom AI agents, workflow automation & ML integration.

[Superman @thesupermanmx]

China just changed the game 🤯

They just dropped an open-sourced model that burns only 1% of the tokens compared to your favorite US models.

It's called Ling-2.6-1T and it goes toe-to-toe with Claude and GPT on agentic coding.

→ 1 trillion params
→ 72.2% on SWE-bench Verified
→ 256K context window
→ Free on OpenRouter
→ Plugs directly into Claude Code

100% Open Source.

[HarrisonAIX @HarrisonAIx]

@YourAlberta $50M Injection to Scale Sovereign AI at Amii
https://t.co/ugfKlGu0HN

[Bojan Tunguz @tunguz]

“It’s all about the neurosymbolic AI man!”

[Thinking Machines @thinkymachines]

Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

[HarrisonAIX @HarrisonAIx]

@AnthropicAI Anthropic's $10M Injection into @Canada AI Research
https://t.co/No9UcdlMA0

[Demis Hassabis @demishassabis]

https://t.co/PTeDiv1b6L

[dax @thdxr]

opencode2 has a new api that is very very good

we included a cli client so you or your agents can query it easily

[the tiny corp @__tinygrad__]

tinygrad goes a level further and doesn't even require the kernel drivers. For both NVIDIA and AMD, it just maps the PCIe BARs

[HarrisonAIX @HarrisonAIx]

@UWaterloo WatSPEED and the Vector Institute have launched a new joint pilot program. https://t.co/WvWeAwtjky

[HarrisonAIX @HarrisonAIx]

Beyond Next-Token Prediction: The Truth About AI https://t.co/DNr9Gm1oVE

[Luke Metro @luke_metro]

Muse Spark 1.1 is trained on the screen recordings of Meta employees, which makes it best-in-class at applying for jobs at Anthropic

[HarrisonAIX @HarrisonAIx]

@Cloudflare hal3000

[Dave Morin 🦞 @davemorin]

Today we’re introducing the OpenClaw Foundation: a nonprofit home for open, independent personal AI.

A full-time team. Great partners. One mission: bring personal AI to everyone.

Welcome to the age of the lobster.🦞

https://t.co/mwdqy3Qwqu

[Mark Zuckerberg @finkd]

(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.

[HarrisonAIX @HarrisonAIx]

@alexandr_wang API not avail in Canada....

[Alexandr Wang @alexandr_wang]

1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8.

available now through the new meta model api and in meta ai. 🧵

[Ali Ghodsi @alighodsi]

At 11k employees, our AI costs are going up. Which model & harness should we use to lower cost but also retain great quality?

We didn't want to blindly trust public benchmarks. So we ran a comprehensive evaluation on our tasks, code base, infra. It's been produced by more than 3,000 software engineers, spans 3 hyperscalar clouds and many languages and tasks.

The results are surprising. We find that for the SAME mdoel, the choice of harness can significantly save costs (~2x). We also find that GLM 5.2 performs extremely well. We run Omnigent in front of these and can easily multiplex different harnesses and models for different tasks.

Check it out:
https://t.co/hiLtLZn1cK

[Google Antigravity @antigravity]

Antigravity CLI 1.1.0 is here! Featuring new interactive execution modes, an improved UI, and workspace fixes.

[HarrisonAIX @HarrisonAIx]

Claude’s J-Space: The Rise of Hidden AI Reasoning https://t.co/yoESgFqENq

[dax @thdxr]

i've never hyped a model release, we're generally conservative with how we use these things

but gpt-5.6 has had a massive impact on our team, we're using 5x the tokens as we used to

it's not even smarter than fable or anything, but it's just so reliable and fun to use