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Showing posts with the label LLM

The Human Internet Is Over. Are You Building for the Bots Yet?

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For the first time in history, machines use the internet more than we do. If your product still expects a human to find it, you are optimizing for a world that no longer exists. Sometime in the middle of 2026, a quiet line got crossed that most marketing teams still have not noticed. For the entire history of the internet, the assumption underneath every website, every ad, every “click here” button was simple: a human being is on the other side of the screen. That assumption just broke. According to Cloudflare, bots now account for roughly 57.5% of all requests to web content, and humans for about 42.5%. Cloudflare’s CEO had publicly predicted this crossover would happen in 2027. It arrived early enough that he went on X and essentially said, well, that happened faster than I thought. So congratulations, humans. After decades of being told we were hopelessly addicted to the internet, we are finally not the ones using it the most. The catch is that the traffic replacing us is not idle. ...

Playing with DeepSeek R1 Distill Qwen 1.5B:

  🚀 Playing with DeepSeek R1 Distill Qwen 1.5B: So I tried out DeepSeek R1, the distilled 1.5B small version because resources. lol. Its a tiny yet powerful 1.5B parameter Non quantized model, using Group Relative Policy Optimization (GRPO) for reinforcement learning. All of DeepSeek’s models are open source, and DeepSeek has been making news lately about how they managed to pull off powerful models using little resources and even skipping steps everyone thought were necessary to develop powerful models. They did all this with the smallest budgets and not-so-powerful GPUs. And the fact that it’s open source is a whole other thing, because before all this, the only powerful open-source models were Meta’s lineup of LLaMA models. So, having a new player that’s just as powerful, costs a tenth of what industry leaders charge, and is open source is a really big deal. 🔍 Here are some of my takeaways from the hands-on experience: And remember, this is the Tiny Tiny version, only 1.5B. ...