Punishing people for taking part in an armed conflict is a war crime. She can be punished for things she has done, she can't be collectively punished for crimes committed by her faction in a war.
Instead of solving the actual problem of mass immigration, we are solving fake problems such as privacy, lack of police state and freedom of speech.
This problem should never have existed and only exists because of bad immigration policy. It can only be fixed through changed immigration policy.
Creating special rules where for certain groups such as terrorists is a slippery slope. The west is slowly recreating Saddam Hussien's Iraq and justifying the policies that will turn us into Iraq with being tough on muslims.
will have to happen at some point, would work more towards solving this than anything.
Does it have to happen? What seems to be happening is that we are all turning into South Korea. Even developing countries are having collapsing birth rates. There seems to be nothing pointing toward women settling, their standards are sky high and climbing.
Especially middle income countries seem to be in free fall. Women in LATAM are seeing what the upper middle class in California have, and they aren't settling for Pedro in their village.
My take is that we are going to see watches with similar levels of polish and accuracy as an omega watch selling for 1500 dollars from Chinese brands.
Wokeism is the opposite of slave morality. It is a tool of the elite to beat its own population. It is a way for a corrupt oligarchy to claim that their subjects are evil, undeserving and morally reprehensible. Wokeisms purpose is to invert noblesse oblige.
We have had excellent success using lovable so that our sales staff/CSM can make mockups that are clickable and actually look good enough to show to clients. What used to take days for a UX/designer can now be done with a few prompts. Furthermore AI has been great at spawning feature ideas, and coming up with things to add. 90% of the ideas get tossed out but a few good ideas are worth their weight in gold.
Code that is boilerplate heavy has worked well with AI. We feed it the SQL-schema and we get the controllers, validators and repository functions. Getting this part consistent and getting it to use globally defined constants instead of hardcoding values took a decent amount of tinkering.
Claude does a good job of code review, however it doesn't understand the requirements and the bigger picture. It can tell if the code is good, not whether the code solves the business case.
AI is efficient at generating tests.
The main issue that I see with AI is that it is exceedingly difficult to maintain a well structured project over time with AI. I want it to use the same coding standard throughout the project. I don't want magic numbers in my code. I only want each thing to be defined once in the project. Each block of code it generates may be well written but the code base will spaghettify faster with AI. Unless the context window becomes the size of my codebase or a senior devs knowledge of it this is inevitable.
AI summaries instead of manually writing commit messages. We now get a proper summary instead of "fixed bug".
It is clear that we can't take the human out of the loop. The human will do less and to a greater extent feedback the AI. A 20% productivity gain is reasonable within the next couple of years. Add a few more percent due to better languages, cloud services, libraries, hardware etc and output can probably increase 25% from 2023 to 2028.
High productivity growth is excellent for the industry and the main reason why tech is so successful.
China has some of the best legal frameworks in the world for trade, Britain is a terrible jurisdiction for world trade.
China doesn't really care about how you conduct your affairs as long as you aren't openly provoking China. They have no issue doing business with the Taliban, questionable mining companies in Africa, Russians, or Americans. If you can pay you can do business. They don't give a toss about your ESG rating. Wearing a free Tibet shirt when going to court in China isn't advisable but neither is wearing a IRA t-shirt in England.
Black americans are a tiny portion of the global population and black americans are not going to appeal better to Indians, Philipinoes, Egyptians or Romanians. If anything they will do worse.
Prediction: We are heading for an AI-middle ground boom.
Predictions regarding AI tend to cluster in two extremes, those who believe we are on a parabolic arc towards super-intelligence and those who believe AI just produces slop. The pessimism regarding AI clusters around to conflicting narratives, it is so good it will cause mass unemployment and AI is so useless that the AI bubble will pop. My take is that AI is mid and that is a good thing. Gemini 3 and Claude 4.5 are useful. However, since LLMs are limited by context windows, social skills, an inability to learn after training and don't have human judgment they can't replace us. Both doomer narratives are false, we aren't going to replace all the software developers with claude, and claude is not so useless that users will abandon it, causing the AI bubble to pop.
The AI speedup is more than worker speed being improved by LLMs. Many projects are stalled waiting for someone else to complete a task. A typical corporate scenario is that someone works an hour on something, emails it to someone who waits a week before working an hour on it, and then sends it off to the next person. With LLMs enormous speed ups can be achieved by not having to wait for answers.
AI is much more than large language models. It has long been used in areas like weather prediction, and over the past decade its capabilities have advanced dramatically. Twelve years ago, AI systems struggled with basic image recognition tasks such as distinguishing cats from dogs; today, they can reliably detect subtle anomalies on factory floors. AI is now widely applied in biotech, scientific research, mining, oil extraction, fraud detection, and many other fields.
What once required a machine-learning PhD can often be accomplished in a matter of days by a technically competent practitioner using cloud platforms such as Google Cloud. While humanoid robots have captured public attention and robot butlers remain unrealistic, AI is already accelerating the deployment of industrial robots and other forms of automation. Advanced driver-assistance systems are reducing the risk of traffic accidents, and AI is speeding up academic work and scientific discovery. More broadly, AI excels at uncovering patterns in massive datasets and surfacing insights and information that would otherwise remain hidden.
Scientific work is iterative. Progress is built upon earlier progress, and one bottleneck in a chain of discoveries prevents the subsequent discoveries from happening.
If AI can unlock a few bottlenecks, that could unlock subsequent discoveries that depend upon them. We could see a small jump in scientific discoveries.
Predictions for the culture war:
We are not going to see mass unemployment, even if a few sectors end up being impacted. Smaller organizations are more nimble and able to react to changes while having similar access to AI as large corporations, this benefits small players. AI deflationary as the cost of production go down. AI in ecommerce is making the field even more cut throat driving prices down. Low inflation will cause low interest rates and high asset price inflation. The economy is going to have wind in its back over the next decade as productivity rises. Government is going to be worse at utilizing AI than the private sector leading to an increasing view of the government as incompetent and falling behind.
They can absolutely be fixed by policy. People aren't going to have kids because they get paid. They will have kids because the family is their support structure and they need it.
Cut all money to unmarried or divorced women from the government. Promote the family as the pension system. Have a culture that instills family values instead of individualism.
Modern women are married to the state. The marriage to the state is fruitless one. This form of marriage needs to be abolished and the other form needs to be promoted.
As a former haskell dev this reminds me why pure functional languages are uncommon in production. Pure functional languages are amazing 90% of the time but are a disaster 10% of the time. Since the 10% can derail a project people don't want to use them. The solution has been integrating functional features into multiparadigm languages so that devs can write 90% functional style code and then use imperative code where functional code just doesn't work well.
Rust's memory safety is great 90% of the time and becomes a blocker 10% of the time. A combination of using rust's memory features and unsafe operations allows for high flexibility and relatively high memory safety.
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The base and the elite are already splitting in the groyper war. The base wants America first, the elite want Indian H1B visas, more foreign war and more military industrial complex.
Just making fun of SJW while continuing George Bush policies is going to lead to Trump losing the election.
Who is supposed to support this war? The left wing voter base is not pro war. The America first crowd isn't excited about wasting billions on a foreign war that is going to end up swamping the US with migrants.
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