jkukul
The potential benefit of Cursor CLI (vs CC and Codex) is that you can easily between all major models (by Anthropic, OpenAI, xAI, as well as Kimi K3 and GLM 5.2). I found it useful when reviewing work - e.g. I implement using Opus then review using Sol, etc. Models by different providers tend to have different perspective on things and they can find different issues with the code.
The irony is that "DevOps" was supposed to be a culture and a set of practices, not a job title. The tools that came with it (=Kubernetes) turned out to be so complex that most developers didn't want to deal with them and the DevOps became a siloed role that the movement was trying to eliminate.
That's why I have an ick when someone uses devops as a job title. Just say "System Admin" or "Infrastrcutre Engineer". Admit that you failed to eliminate the siloes.
I've hosted side projects on Hetzner for years and have never experienced anything like that. Do you have any references of projects to which it happened?
The EU is also great at creating a heavy regulatory environment. Which entrenches existing incumbents. So the EU creates barriers that favor big companies, then tries to fix it with grants that... also favor big companies.
And then everyone's surprised that there's no innovation in Europe.
From all the world's companies worth over 100B$ there's only one European company - SAP, founded 50 years ago. [1]
[1] https://www.economist.com/briefing/2021/06/05/once-a-corpora...
The comment you're replying to is tainted with the survivorship bias. We see successful companies that got government funding, but not the opposite. Maybe we'd have more innovation and competition without government picking these specific winners.
Ironically, one of the companies you mentioned (Apple) now operates in an environment with very little competition and regularly faces antitrust claims.
Government picking winners may actually reduce competition in the long run. The key difference: when private money picks wrong, it's their loss. When government picks wrong, it's taxpayer money.
I sometimes wonder what motivations these orgs have in contributing to open source.
My cynical side refuses to believe that the reasons are altruistic (although I'm sure there are altruistic individuals in those orgs!).
I think that the decisions to contribute to open source are calculated business decisions made to benefit the organization by:
* Getting outside contributions to the software that's widely used inside an organization
* Getting more people familiar with the software so that when they're hired they are already up to speed
* Attracting talent
* Improving PR
* Undermining competition (Llama?)
Regardless of the reasons, I think that there's a huge net benefit to society from large companies open-sourcing their software. I just don't think that's an argument to view these companies more favorably.
I configure a random password for Screen Time so that it's a real hassle to circumvent the daily limit when I get over it.
I could recommend using ollama or VLLm inference servers. They support a `response_format="json"` parameter (by implementing grammars on top of the base model). It makes it reliable for a production use, but in my experience the quality of the response decreases slightly when a grammar is applied.
You can write a support bot that sends a user's question + docs/FAQ to an LLM to automatically deal with the basic questions and only involve a human in the loop once a question goes beyond what's in the docs.
They will also be able to use ChatGPT on the job. And StackOverflow. And Google. If they know how to use tools available to solve a problem, that will benefit them on the job.
If you're testing them for what ChatGPT can already solve, then are the skills being tested worth anything, in this day and age?
Take-home LeetCode, even with cheating will still filter out a good chunk of candidates. Those who are not motivated enough or those who don't even know how to use the available help. You'll still be able to rank those who solved the task. You'll still see the produced code and be able to judge it.
Like other commenter points out, you can always follow up the take-home LeetCode. Usually, it becomes apparent really quickly if a candidate solved it on their own.
I've done tests like this for some companies. It felt a lot fairer and more closely resembling the actual work environment than live leet-code interviews, with biased interviewer(s) and a stress factor that's not a part of the actual job.
In practice there are constraints that limit job markets geographically, e.g. time zone differences or legal obstacles to hire foreigners.
I guess they can still conveniently schedule when the layoffs are announced and make it happen right before the 10b5-1 schedule?
All the previous layoffs announcements were followed by the stock rising up.
There are various hypothesis:
* changes to gut microbiome composition due to modern diets and overuse of antibiotics
* excessive cleanliness and hygiene. The "hygiene hypothesis" suggests that lack of exposure to diverse microbes leads to improperly trained immune systems
* increased exposure to chemicals, plastics, and pollutants that may disrupt immune function
* Cesarean sections and formula feeding rather than vaginal birth and breastfeeding
Concrete production is very bad for environment, so the less we need to make the better.
I agree with you that $235K is a small budget to build a serious software though.
and AFAIK Discord is not indexed by Google, so the answer is likely never to be found. This goes completely against the idea of the knowledge re-use
The main reason being stated as:
> Exiting this space allows us to refocus on products that build on our core strengths: knowledge reuse and building communities at scale.
A year has passed and I'm not sure what progress have we seen on the "knowledge reuse" and "building communities" front.
The post has this quote from the CEO:
> We are realigning the Talent business to focus more on customer employer branding and company awareness needs, and moving away from job slots and direct hiring. This will tie the product closer to what we offer through Stack Overflow Advertising [...]
The article linked by OP (related to generative AI) has this quoute, on the other hand:
> There's definitely a question around how we leverage [generative AI] technology to deliver on our mission of helping build technology through collective knowledge. This intersection between the power of community on one side and AI on the other side—from my standpoint, human-generated community content has taken us to this level, we have a large impact, but there are also so many problems we can solve by leveraging this technology.
Reading these CEO's quotes filled with words like "realigning" and "leveraging" makes him sound like a typical MBA executive (yes, he's a Harvard MBA) who thinks that the same rules can be applied to a business in any industry. All while completely ignoring the feedback of a business's users/customers.
Additionally, a common argument is that the server side logs contain a lot of logs from bots/crawlers and GA (and alike) can filter them. The other side of the coin is that GA (and alike) are not able to track users with Adblockers.
So I'd imagine the OP's query should work when the image id is wrapped in double quotes. Otherwise, it'd mean that it's not in the index anymore.
One small caveat is that I must already be in a somewhat decent state to do physical activities. Sometimes I'm just too "mentally tired" to even get myself to exercise - it would be great to have a tool to get over the hump in moments like this.