Trying to be more active here.
I do fullstack + devops, mess around with AI tools, and spend too much time looking at forex/crypto charts.
Say hi if you’re into similar stuff.
Gold still feels like a “wait for confirmation” market going into next Monday.
The bigger move probably depends on how the dollar and yields behave after the open. I’m not chasing the first spike — I’d rather see if buyers can hold key support first.
Google has just updated its new Antigravity release, and there seems to be a clear distinction between the Antigravity version and Antigravity IDE. My take: Google is positioning Antigravity less as a traditional IDE and more as an agentic AI development environment.
Holy shit 🤯
Microsoft just open-sourced a framework that runs a 100B parameter LLM on a single CPU.
No GPU.
No cloud.
No expensive setup.
Just your laptop.
It’s called BitNet.
And it breaks one of the biggest assumptions in AI.
Here’s the trick:
Most LLMs use 16-bit or 32-bit floats.
BitNet uses:
1.58 bits.
Yes… bits.
Weights are just:
-1, 0, +1
That’s it.
No heavy matrix math.
Just simple integer operations your CPU already handles efficiently.
The result is insane:
• 100B model runs on CPU at 5–7 tokens/sec
• 2–6× faster than llama.cpp on x86
• 82% less energy usage
• 1–5× faster on ARM (MacBooks)
• 16–32× lower memory
The craziest part?
Accuracy barely drops.
Their flagship model (trained on 4 trillion tokens) performs competitively with full-precision models.
They didn’t break the model.
They removed the waste.
What this unlocks:
→ Run LLMs fully offline
→ AI on phones, edge devices, IoT
→ No API costs for inference
→ Works even without reliable internet
MacBook.
Linux.
Windows.
It just runs.
27K+ GitHub stars.
Built by Microsoft Research.
100% open source.
This might be the moment AI stops being cloud-first…
and becomes device-first.
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