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I’m finishing a bachelor’s in computer science with a linguistics minor in around 2 years, and am considering a master’s in computational linguistics afterwords.

Ideally I want to work in the NLP space, and I have a few specific interests within NLP that I may even want to make a career of applied research, including machine translation and text-to-speech development for low-resource languages.

I would appreciate getting the perspectives of people who currently work in the industry, especially if you specialize in MT or TTS. I would love to hear from those with all levels of education and experience, in both engineering and research positions.

1. What is your current job title, and the job title you had when you entered the field?
2. How many years have you been working in the industry?
3. What are your top job duties during a regular work day?
4. What type of degree do you have? How helpful has your education been in getting and doing your job?
5. What are your favorite and least favorite things about your job?
6. What is your normal work schedule like? Are you remote, hybrid, or on-sight

Thanks in advance!

Edit: Added questions about job titles and years of experience to the list, and combined final two questions about work schedules.

I’ve never seen anything like it. I mean, I know scamming is an integral part of America and an integral part of the world, but I feel like the white hot center of scamming is the PumpFun Telegram Solana confluence.

It is fun to make a token on PumpFun, but just the amount of sheer scammery that happens once you create a Telegram group, I’ve never seen anything like it.

In a way, it scares me that it’s a preview of things to come. That the 21st century will just be one long, unending scam. That any technology will be co-opted to just scam, and that the technologies that are being created facilitate scams better than they used to.

Chwowww, all I gotta say is the shit sucks and is terrible for you. Like junk food dipped in pesticides.

As a math major, I was interested in seeing what different fields of mathematical research looks like. I decided to just browse the Arxiv, but I can’t help to notice the difference between Stat.ML and CS.LG sections.

From my understanding, they are both suppose to be about Machine Learning research, but what I found was that many of the CS.LG articles applied ML to novel scenarios instead of actually researching new mathematical/statistical models. Why are these considered ML research, if they are not researching ML but using it?

Does this reflect a bigger divide within the machine learning research field? Is there some fields in ML that are more suited for people interested in math research? if so, are those generally hosted in the math/stats department, or still under the CS department?

Launching yourself into the e-commerce arena doesn’t need to be daunting. By tapping into online communities, utilizing freelancing platforms, and taking initiative with direct outreach, you can find opportunities with those just as eager to grow. The key is to offer genuine value and enthusiasm to build a rewarding and educational partnership. Good luck on your e-commerce journey!

Hey SEO pros 👋

I’m a marketing gal (30, agency side) working with a law firm client who’s currently working with an SEO vendor. We built them a gorgeous new website on WordPress; they love it, we love it, and everyone’s excited to launch…

Except their SEO vendor hit the brakes and told them *all* their SEO progress will be lost if we publish the new site.

Now, I’m not here to say they’re being overly dramatic (because I genuinely don’t know!), but… surely there’s a way to launch a new site without throwing years of SEO work into the abyss?

Both the current site and the new one are built in WordPress. I’m familiar with meta descriptions, tags, and as part of our SOPs the URLs are always matched to the old site so there aren’t any issues there (Also plan to import/export all their blogs to the new site). But when it comes to redirects, URL structure, and whatever secret sauce you all work with, I’m 100% out of my depth.

So I’m here looking for some advice:

* What should I ask or coordinate with the SEO vendor to make this a smooth transition?
* Are there common mistakes to avoid when launching a redesigned site so we don’t tank their rankings?
* Should we be looking at tools, plugins, or audits before going live?

My #1 priority is making sure the client keeps whatever traction they’ve built. Any tips or even “don’t do this!” horror stories would be super appreciated. Thanks in advance!

Hey folks,

I’ve been digging into flash loans on Solana and wondering—can we use them for more than just memecoin flips?

Some ideas I’ve seen or thought about:

* **Sniping liquidations** on Solend or Port Finance
* **Collateral swaps** to get better interest rates
* **Self-liquidation** to dodge fees
* **Leverage loops** for farming
* **Fixed vs floating rate trades** using pTokens

These all seem possible with Solana’s speed and low fees, but I’m curious—**has anyone here tried this stuff?**

Is it doable? What tools or tips would you recommend?

Would love to hear your thoughts or see if others are exploring the same path. Let’s brainstorm

[https://edition.cnn.com/2025/07/23/politics/fda-ai-elsa-drug-regulation-makary](https://edition.cnn.com/2025/07/23/politics/fda-ai-elsa-drug-regulation-makary)

“Six current and former FDA officials who spoke on the condition of anonymity to discuss sensitive internal work told CNN that Elsa can be useful for generating meeting notes and summaries, or email and communique templates.

But it has also made up nonexistent studies, known as AI “hallucinating,” or misrepresented research, according to three current FDA employees and documents seen by CNN. This makes it unreliable for their most critical work, the employees said.

“Anything that you don’t have time to double-check is unreliable. It hallucinates confidently,” said one employee — a far cry from what has been publicly promised.

“AI is supposed to save our time, but I guarantee you that I waste a lot of extra time just due to the heightened vigilance that I have to have” to check for fake or misrepresented studies, a second FDA employee said.

Currently, Elsa cannot help with review work , the lengthy assessment agency scientists undertake to determine whether drugs and devices are safe and effective, two FDA staffers said. That’s because it cannot access many relevant documents, like industry submissions, to answer basic questions such as how many times a company may have filed for FDA approval, their related products on the market or other company-specific information.”