"Davis, whose firm has invested more than half a billion dollars in Groq since the company was founded in 2016, said the deal came together quickly. Groq raised $750 million at a valuation of about $6.9 billion three months ago. Investors in the round included Blackrock and Neuberger Berman, as well as Samsung, Cisco
, Altimeter and 1789 Capital, where Donald Trump Jr. is a partner."
POP QUIZ - Which minority partner is the key here?
What is current state of the art workflow when working with legacy code across multiple languages?
This would be a 100 kLOC legacy project written in C++, Python, and jQuery era Javascript circa 2010. Original devs have long left. I would rather avoid C++ as much as possible.
I've been Github Copilot (in VS Code) user since June of 2021 and still use it heavily, but the "more powerful intellisence" approach is limiting me on legacy projects.
Presumably I need to provide more context on larger projects.
I can get pretty far with just ChatGPT plus and feeding bits and pieces of project. However that seems like using the wrong tool.
Codex seems better for building things but not sure about grokking existing things.
Would Cursor be more suitable for just dumping the whole project (all languages) basically 4 different sub projects and then selectively activating what to include in queries?
I dont understand, the agent mode of copilot will search for and be pretty good and filling its own context afaik. I never really feed any of our 100k+ lines legacy codebase explicitly to the LLM.
It is so infuriating to get content block on ChatGPT for pretty much any fairy tale that has had a Disney related adaptation.
Try getting a Grimm's 19th century Snow White illustrations. You can not because the Disney crap supersedes it.
In fact you can not get a Snow White illustration of any kind on ChatGPT.
I can not figure out any prompts that would draw using public domain knowledge.
Same goes for a pirate fighting a flying boy - no good.
New one this week was when I tried to draw a border around my daughter's picture of a Poppy from Trolls(That's Dreamworks but same problem).
The actual copyrighted Poppy appeared in the border half way down the generation and then of course content block appeared.
What is hilarious though that ChatGPT will profusely apologize and provide extremely detailed instructions in setting up local Stable Diffusion as an alternative...
As I recall Holmes did in fact do a lot of walking. He vacillated between periods of inactivity(cocaine, violin, shooting V in wall with a revolver) and intense activity (taking up disguises and doing various physical activities including walking all across London and elsewhere.
Just because your logical mind says one thing is good to do and you know you should do it you are not going to always obey your rider, the inertia of the elephant takes over.
So you need a trigger to snap out of it, for Holmes it was a new case.
AFAIR those had a specific purpose (chasing a perp, tracking down evidence, etc.). Most of his thinking he did sitting in a chair and smoking his pipe for hours on end (sometimes the whole night).
Indeed regular Jupyter works so well on VS Code for solo work these days that there is no real need for a new entrant.
So what pain point are these new entrants trying to solve?
Sure there is an issue of .ipynb basically being a gnarly json ill suited for git but it is rare that I need to track down a particular git commit. Even then that json is not that hard to read.
Also I'd like an easier way to copy cells across different Jupyter notebooks, but at the end of day it is just Python and markdown not very hard to grok.
OpenAI has ridiculous guardrails for illustrations covering any public domain subject that has been covered by Disney or any other major public corporation.
So by that benchmark Japanese companies have a case.
Try generating a 19th century style illustration of Snow White. You can't at least not on OpenAI platform.
Try generating a picture "of flying boy fighting a pirate on a ship".
I spent a month in 2012 roughly 4 hours a day doing various tasks.
It was horrible, even if I followed all the "best practices" of Turkers it was not a way to make a living.
By end of the month, I had become so jaded to all the "priming" experiments by graduate and undergraduate psychology students. Those usually paid at least something 3-4 USD an hour.
Did some porn labeling tasks, those were horrible after the novelty wore off.
Did very few other labeling tasks because they paid next to nothing.
To have someone actually depend on living for these seemed like a torture.
There are places where $3-$4 USD per hour is significantly higher than the prevailing wage. This is not a great fact about global wealth disparity, but that money goes towards improving the situation not making it worse.
To math it out: 8 hours a day at $3 USD per hour with 2 weeks vacation is about $15,000 per year.
That's not a lot of money to someone who lives in the United States. But here in 2025 it gets you out of the bottom quintile of earners in China, India, Brazil, Russia, Turkey, Japan, Central America, South America, Africa, South Asia, Southeast Asia, most of Eastern Europe...
For a job that's on demand, and requires, as far as I can tell, decent English skills and an Internet connection, but no real barriers to entry otherwise. It would have been a much stronger deal back in 2012, of course.
I'd be interested to know if the introduction of MTurk as a market competitor pushed entry level clerical wages up in some of these areas. Probably not, because English proficiency in a non English speaking country is a very rare skill not usually borne by people in the bottom 20% of income. But that's probably less true today given the dominant of English language YouTube.
This 30 Euro jump in Europe was a kick in the pants for me.
Even though it is still a relatively good deal for a Family Plan (compared to say Google Drive or Dropbox) for OneDrive, I finally dropped my Microsoft 365 Family plan.
The final straw was that the Copilot was completely unhelpful and hallucinated features Office portal does not have.
https://www.cnbc.com/2025/12/24/nvidia-buying-ai-chip-startu...
"Davis, whose firm has invested more than half a billion dollars in Groq since the company was founded in 2016, said the deal came together quickly. Groq raised $750 million at a valuation of about $6.9 billion three months ago. Investors in the round included Blackrock and Neuberger Berman, as well as Samsung, Cisco , Altimeter and 1789 Capital, where Donald Trump Jr. is a partner."
POP QUIZ - Which minority partner is the key here?
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