I am speculating but hard to not see that DeepSeek is brewing a full Pro model with those new techniques to come out right around the time of Anthropic and/or OpenAI IPO to tamper the excitement for their offering.
DeepSeek will deprecate the v4 Pro model (it will route to v4.1 Flash starting 14 Sep). Unsure what comes next, but I'd wager a bigger model à la Kimi K3: https://news.ycombinator.com/item?id=49639667
It could be argued that Turkish and simplified Chinese succeeded simply because they were supported by, you could even say imposed by, a government that controls > 90% of the population speaking the language. Neither was the case for Arabic: there is no single government spanning that proportion of Arabic speakers, and from how I read the article, it seems no government really supported Unified Arabic to any extent even remotely comparable to Turkish and simplified Chinese.
You're not wrong, but you could ask your favorite LLM to interact with the LG API's to switch the input for you. At least for my case, it was ~10 minutes of work to develop a small tray app that looks for a specific USB device and switches the TV input if it gets inserted. I don't really even touch the remote anymore
I have a question about “domain expertise” as a component of future knowledge worker requirements. How does one gain such expertise in a context where thinking is expected to be delegated to AI (shifting from problem solving to question asking, as noted in this paper)?
How does one learn to pose the right questions when basic ones are rarely “manually” answered? that is, without an AI assistant’s help
This pattern appears in schools, where AI interferes with human development that typically demands long and difficult effort of actually answering questions
For certain functionality, we import libraries. For others, we've handwritten solutions. Even so — sometimes we have to crack open the repo for a library to really dig in to what's going on. That seems to go for domain experts as well.
I think we've always been working with the scenarios of what's solved for us and what we need to solve manually. AI is certainly not an abstraction layer, but there are ways to use it where you are still driving, learning, and shipping.
> The company on Wednesday confirmed speculation that the Ox Alpha model is a new iteration of its GLM series and said it will release the weights for it tonight, in response to queries by Bloomberg News.
Seems legit.
It's really hard to know how good it is. So much hype around it.
Hmmm... I had a different experience. They had a fully automated environment where you ha to write test that passes some tests. No human involved. And the time requirement was insanely tight
Interesting, I'm wondering if that varies depending on the hiring team? Or maybe my experience wasn't standard as it was part of an acquisition process, though I'm pretty sure I did all the steps of their interview process. Or we were in different tracks. I don't know ¯\_(ツ)_/¯
I did find my interviews (with humans) to be quite tight too
Do you think any programmer really understands how their program works end-to-end? At some abstraction layer, we're all clueless. There are many layers between what you type into the text editor and the actual CPU ticks that make your program work. I bet nobody fully understands the whole stack.
Now that that text editor accepts English, we're all calling each other names, etc.
That is... also a strawman. There are less skilled bad actors. There are more skilled bad actors. The bottom rung is script kiddies, so named because they just run other people's scripts. They are not Scottish.
Used to be, knowing a ret from a nop (90) meant something. If you can just load up a model and say "hack teh NSA.gov" while not actually knowing anything about even DNS, what are we even doing?
While most don't, there are developers who actually do understand systems from end to end. Most developers are terrible developers, compared to the really good ones.
> While most don't, there are developers who actually do understand systems from end to end
The last time intel made a CPU where the entire thing could fit in one persons head was probably the 8086 or thereabounts.
There is no one developer or engineer at apple that understands everything going on from key press to bits moving around to print the characters I see when I type in this text box.
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