Miguel Afonso Caetano
Senior Technical Writer @ Opplane (Lisbon, Portugal). PhD in Communication Sciences (ISCTE-IUL). Past: technology journalist, blogger & communication researcher.
#TechnicalWriting #WebDev #WebDevelopment #OpenSource #FLOSS #SoftwareDevelopment #IP #PoliticalEconomy #Communication #Media #Copyright #Music #Cities #Urbanism
- 115 Posts
- 21 Comments
@cAUzapNEAGLb@lemmy.world Tell me about. I’m not a professional developer but more of a technical writer. As someone who has been in charge of reviewing and editing documentation explaining the functional requirements of a moderately complex project, I found it extremely difficult to get both the product and development sides in agreement.
“So yeah, it looks like “ultrathink” is a Claude Code feature - presumably that 31999 is a number that affects the token thinking budget, especially since “megathink” maps to 1e4 tokens (10,000) and just plain “think” maps to 4,000.”
https://simonwillison.net/2025/Apr/19/claude-code-best-practices/
@grober_Unfug Try Gemini-2.5 Pro Preview. It’s the best LLM. Alternatively, you can always try o3, OpenAI’s latest LLM: https://lmarena.ai/.
BTW: I’m not the author of the post above :)
@isaackuo@spacey.space Don’t know what you’re talking about. The current U.S. federal government is directly supported by the wealthiest person on planet earth. Can you tell me of a billionaire that has been treated harsh in the U.S.?
“Analysts from Rosenblatt Securities said in a note Thursday that Apple would need to increase prices for several products to offset an estimated $39.5 billion in costs from tariffs as the company relies heavily on China-based manufacturing, including a 43% price increase for iPhones and Apple Watches, a 42% increase for iPads and a 39% hike for Airpods and Mac computers. Apple released a cheaper iPhone model in February with a $599 price tag, which would increase to about $856 after a 43% increase, while its pricier $1,599 iPhone 16 Pro Max would jump to $2,300.
About 80% of the coffee beans imported into the U.S. come from Latin America, and most coffee imports come from Brazil (35%) and Colombia (27%) as of 2023, according to the Department of Agriculture, as both countries face tariff rates of 10%.”
@Alabaster_Mango@lemmy.ca OK, smart ass. Here’s a little conversation I had with Gemini 2.5 LLM from Google about this topic. It’s backed up with official sources: https://aistudio.google.com/app/prompts?state=%7B%22ids%22%3A%5B%221B0JecBTkQJ9wVjOnhM81piNPjrq3QbzU%22%5D%2C%22action%22%3A%22open%22%2C%22userId%22%3A%22113653798100742351191%22%2C%22resourceKeys%22%3A%7B%7D%7D&%3Busp=sharing. Are you satisfied?
@Alabaster_Mango@lemmy.ca I just quoted an article that was authored by Robert Delwood. I don’t have to justify anything. I don’t own you a detailed empirical study of my position, sorry.
@Alabaster_Mango@lemmy.ca In my country, Portugal, and in most countries of the world, artists can barely survive. Just look at job boards such as LinkedIn and compare the average remuneration offered to an artist - designer, musician, painter, video maker - to the average remuneration of a plumber. And also don’t forget to compare the gross number of job ads.
@Alabaster_Mango@lemmy.ca I think what the author wants to state - and I agree with - is that it’s way more difficult to earn a living as an artist than as an craftsman. Unfortunately, that is a fact. It’s extremely difficult to survive as an artist. And only the real talented ones can gather a high enough number of fans to sustain their work.
@Umbrias@beehaw.org The number of people who gain a living as plumbers, electricians, carpenters, and locksmiths is way higher than the number of people who people who gain a living as artists. Unfortunately, that is the truth.
"A New College of Florida professor was abruptly fired this month under a controversial state law that limits public universities from employing people from so-called “countries of concern,” including China, Cuba, Iran, Russia and Venezuela.
Kevin Wang, a Chinese academic who is seeking asylum and authorized to work in the United States, had been teaching Chinese language and culture classes at the small liberal arts college in Sarasota for nearly two years when, on March 12, the school terminated his contract, citing a university regulation based on that law, known as SB 846.
His letter of dismissal, which was reviewed by Suncoast Searchlight, stated that the school’s decision to cancel his contract as an adjunct professor was “not based on any misconduct and does not constitute a dismissal for cause or disciplinary action.” Instead, it claimed, Wang’s immigration status — and, implicitly, his country of origin — made him ineligible for employment at New College."
@Umbrias@beehaw.org Although I don’t believe people need “new” art, I agree that art can fulfill a “spiritual” hole in people’s lives. But I don’t think that’s exactly the same…
"For five years, the Federal Intelligence Service (BND) has assumed that the coronavirus originated in a Chinese laboratory. The BND classifies the laboratory theory as “probable” and is “80 to 95 percent” certain. Since then, the German government has kept secret the BND’s findings that the virus originated in the biolab in Wuhan . This is reported by NZZ, Zeit, and Süddeutsche Zeitung.
To date, it remains officially unclear whether the SARS-CoV-2 coronavirus is of natural origin or originated in a laboratory. Despite intensive research, no intermediate host has been identified that naturally transmitted the pathogen from animals to humans. At the same time, controversial experiments at the Wuhan Institute of Virology (WIV) that supported the laboratory theory came into focus."
@joachim@drupal.community Just because Silicon Valley companies over-engineer their models, that doesn’t mean it must be necessarily so… Look at DeepSeek: https://github.com/deepseek-ai/open-infra-index/blob/main/202502OpenSourceWeek/day_6_one_more_thing_deepseekV3R1_inference_system_overview.md
@joachim: You have every right to not use LLMs. Personally, I find them a great help for improving my productivity. Every person has its own reasons for using or not using generative AI. Nevertheless, I’m afraid that this technology - like many other productivity-increasing technologies - will become a matter of fact in our daily lifes. The issue here is how best to adapt it to our own advantage.Open-source LLMs should be preferred, of course. But I don’t think that mere stubbornness is a very good strategy to deal with new technology.
“If we don’t use AI, we might be replaced by someone who will. What company would prefer a tech writer who fixes 5 bugs by hand to one who fixes 25 bugs using AI in the same timeframe, with a “good enough” quality level? We’ve already seen how DeepSeek AI, considered on par with ChatGPT’s quality, almost displaced more expensive models overnight due to the dramatically reduced cost. What company wouldn’t jump at this chance if the cost per doc bug could be reduced from $20 to $1 through AI? Doing tasks more manually might be a matter of intellectual pride, but we’ll be extinct unless we evolve.”
https://idratherbewriting.com/blog/recursive-self-improvement-complex-tasks
"Now it’s become clear that the moat the U.S. built to protect its companies from domestic competition actually created the conditions that allowed them to atrophy. They got fat and happy inside their castles. Their business pivoted from technological innovation to performing alchemy with spreadsheets, turning made-up metrics into dollar valuations detached from reality. Now DeepSeek has exposed the scam. With a tiny fraction of the resources, and without access to the full panoply of U.S. chip technology, the Chinese company DeepSeek has pantsed Silicon Valley. The U.S. company OpenAI began as a nonprofit dedicated to making AI widely available, as its name suggests. Its top guy, Sam Altman, managed to transition it to a for-profit and close it off.
Now DeepSeek is ironically fulfilling OpenAI’s original mission by providing an open-source model that simply performs better than any in the market. We have an FAQ on the details of DeepSeek below.
Meanwhile here in the United States, Trump is celebrating a (possibly exaggerated) $500 billion investment in Texas to fuel AI computer power that appears to be made obsolete—or much less relevant—thanks to DeepSeek’s innovation. And Trump is stacking his administration with crypto bros, tech moguls refusing to divest, and even launched his own scam meme coin. Trump’s senior tech advisers like Elon Musk meanwhile have extensive commercial ties directly with China. You don’t have to squint too hard to see which of these countries is going to win this competition."
https://www.dropsitenews.com/p/deepseek-openai-lina-khan-sam-altman
"DeepSeek’s generative AI chatbot, a direct rival to ChatGPT, is able to perform some tasks at the same level as recently released models from OpenAI, Anthropic and Meta, despite claims it cost a fraction of the money and time to develop.
The release of DeepSeek’s R1 model last week and its rise to the top of Apple’s App Store has triggered a tech stock sell-off. Asian tech shares fell on Tuesday in the wake of a Wall Street rout overnight.
The Nasdaq fell 3 per cent and US chipmaker Nvidia, which produces the chips used to train large AI models, slumped 17 per cent, losing $600bn in market capitalisation.
On Monday evening, Altman wrote on X that DeepSeek’s model was “impressive, particularly around what they’re able to deliver for the price”. He added: “We will obviously deliver much better models and also it’s legit invigorating to have a new competitor!”"
@southsamurai@sh.itjust.works Well, it’s not inherently extremely difficult to learn how to program. You could learn all the essential stuff from a YouTube video that is 10-hours long or a book that is 400-pages long. The difficulty comes from learning what is feasible and practical to do with computer logic. You have to get the requirements really right and knowing if the generated code is doing what is supposed to do. Syntax is relatively easy. What is difficult is to learn how to solve problems. This requires thinking like a computer scientist. Ultimately, it all depends on the level of complexity of your project.