Pangram is witchcraft to me. The way they can correctly detect AI writing from small samples, with so little statistical signal, is crazy. I've seen it correctly detect AI writing even when people use those "humanizer" rewriting skills that remove the hallmarks of AI writing and make the text indistinguishable from human text. But not to Pangram.
This is the most important part most people don't get:
> And what would 3 °C mean for Germany?
> FB: In summer, meteorological records could reach up to 50 °C. Three degrees of global warming does not mean hot days will just be 3 or 4 degrees hotter. It could mean up to 10 degrees hotter. We would also face much longer droughts.
3°C warming implies summer days can get 10°C hotter. This is nightmare scenario.
When I clicked, I thought that it was going to smash the turbine blades from the animation to suggest something like "all the performance without the thermals," but nope, they just became laptop fans. And seconds later, it started blowing heat/steam out of them!
That's the most uncanny marketing for an ARM laptop I've ever seen.
Yeah, but I still see apps that don't implement those features. Mostly React Native/Flutter apps that don't bother implementing native features. On Android it's even more depressing.
When they exist at all. Many apps that provide important notifications (like delivery tracking, drop-off time etc) put them under the same category as marketing stuff. You can't have just the transactional tracking, you have to opt-in for the marketing notifications as well.
Sure, but they didn't spend on training the model. If DeepSeek is providing the model for the same price as third parties, then it's probably still losing money when you account for the training.
We shouldn't take free open models for granted. They're a byproduct of the current AI craze, but the economics aren't on their side. It's not sustainable. Alibaba already stopped releasing the weights for their best models, for instance.
The Node world was built with asynchronicity in mind. First via callbacks, then Promises, then async/await (Promise-based), so it feels natural now.
But if you take Python (for example), it's a shitshow. You usually have two versions of the same API, split by function name, client, package, or namespace: `foo` and `afoo`, where the a-prefixed one is async and meant to be used inside async function call chains, and the other one is the blocking version for non-async chains (which are still very much in use). It's a pain to develop for, to maintain, to scale, everything.
Same thing happened to my wife as well. I helped her tailor her LinkedIn profile and resume with a lot of attention to detail: adding metrics, keywords, results, etc. Nevertheless, she never received any outreach recruiters and got very few application responses. It went like that for months, almost a year.
Then she asked ChatGPT 5.x for help. I was skeptical about the changes it recommended (and was skeptical at all about using AI for this given the homogeneification it tends to produce). But somehow it worked: few days later, a recruiter reached out, then another, then applications started moving forward, etc.
My guess is that, as LLMs are shoveled into every phase of the recruiting process, not having an LLM write your resume for you is now playing on hard mode. The LLMs reviewing resumes are downranking resumes and profiles that are not "speaking" the same language and activating the correct neurons, thus preventing you from moving forward. This contrasts with years ago when we had more humans in the loop and the pasteurised writing of GPT 3.5/4o would make you look less worthy. Again, just a theory, but...
When my mother gave birth to my younger brother, she started using cloth diapers on him, worried about the environmental impact of disposable diapers like the ones she used on me during my childhood. She went back to disposable in less than a month.
"Oil" is not a homogeneous thing. There are different grades of oil and refineries are built to process specific grades of oil. UAE produces the so-called "Dubai Crude" oil grade, which is very sought after.
The article has a benchmark and Opus has best score in two categories and the second-best in another (there are only three categories). Opus is probably the best choice when it comes to producing readable code right now. GPT (for example) lags way behind.