9 months. 223lbs @ 35% BF → 170lbs @ 11% BF.
No shortcuts, no magic — just consistency:
→ Structured push/pull/legs training, high pull-up frequency
→ ~12,000 steps a day + regular cardio
→ Tracking calories & macros religiously
→ Trusting the process on the hard days
The scale is just one data point. The mirror doesn’t lie.
Progress isn’t linear, but it’s real if you show up.
💪
Shopify’s Q4 2025 earnings are out.
The headlines:
→ We now power more than 14% of the US ecommerce market
→ GMV is up 29% to $378B
→ Revenue is up 30% to $11.5B
→ Free cash flow exceeded $2B
→ Q4 was our first quarter above $3B in revenue
But 2025 wasn’t just about growth, it was about building for what’s next.
AI is changing how people shop. Merchants are racing to meet it. And we plan to keep powering them.
Watch the video for more.
4/ Bottomline: Our TAM will grow substantially across every layer of the tech stack as this diffusion accelerates and spreads, and we feel very good about how we’re delivering for our customers today and innovating to capture the opportunity ahead.
You can read more about our results here: https://t.co/ss7nrZkf7I
Transformers v5 just dropped 👀
3M+ installs/day. 400+ architectures. Quantization-first. PyTorch-native.
We use @huggingface Transformers across the NVIDIA AI stack — from NeMo training to TensorRT-LLM inference.
Congrats to the Hugging Face team on 5 years of work that powers millions of developers 🤝
Most “efficient attention” tricks collapse at high KV compression ratios—DMS shows you can get ~8× KV compression with ~1K training steps and still improve reasoning Pareto frontiers vs dense Qwen-R1 models.
The key: a learned, delayed token-eviction policy trained via logit distillation, not ad-hoc attention heuristics, so longer and wider chains are feasible at fixed KV budgets.
Download our latest Checkpoint:
🎓 Paper - https://t.co/D94xXtP2p0
💾 Checkpoint - https://t.co/91v3BqtwBW
$NVDA CEO Jensen Huang:
“Nvidia GPUs are in almost every cloud. And if you’re trying to rent GPUs these days, it’s incredibly hard. Spot prices for GPU rentals are going up, not just for the latest generation, but even for GPUs that are two generations old.”
📣 New Amazon Elastic Cloud Compute (EC2) G7e instances are now available to advance AI inference, scientific computing, and spatial computing workloads.
Accelerated by #NVIDIARTXPRO 6000 Blackwell Server Edition GPUs, G7e instances deliver:
✅ Up to 2.3x inference performance compared to G6e.
✅ 2x GPU memory, 1.85x GPU memory bandwidth, and 4x Amazon Elastic Fabric Adapter (EFA) networking bandwidth.
✅ Optimized compute and memory resource management on the AWS Nitro System.
Learn more 👉 https://t.co/xZC4gpu5DM
They will eventually apply the “wealth tax” to everyone, just like the income tax, which was supposed to be just a temporary tax of a few percent of the top 1% to pay for WW1 …
Frontier models that use reasoning to "think" during inference are generating 5X more AI tokens per year.
✨ "Inference is now a thinking process. And in order to teach AI how to think, reinforcement learning and very significant computation was introduced into post-training," said NVIDIA CEO Jensen Huang in a recent keynote at #CES2026.
Reinforcement learning is increasing computation demands across all AI scaling laws: pre-training, post-training, and test-time scaling.
Learn more about reinforcement learning and AI scaling ➡️ https://t.co/xoVkCDyoch