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#automation

6 posts5 participants0 posts today
Public
Fell

I was looking for an alternative to classic shell scripts, so I timed a Hello World program in different languages for fun. I thought you might want to know:

1 ms - #Bash
1 ms - #Perl
12 ms - #Python
33 ms - #Go (shebang calling `go run`)
38 ms - #C (shebang compiling to temporary file)
61 ms - #Rust (shebang compiling to temporary file)

Needless to say that this is a highly unfair and silly comparison. It's still interesting, though.

#Linux#Scripting#Programming
Continued thread
Public
Spaceflight 🚀

From Earth to #Mars lasts about 200 days. To safely go from those speeds down to zero in that short amount of time requires “slamming on the brakes”. Successful #aerobraking depends upon precise navigation, knowledge of weather, and a solid understanding of the forces the craft can withstand. science.nasa.gov/planetary-sci

Launch, Cruise/Approach, Entry, Landing, and Descent, Surface Operations
NASA Science · Mars Mission TimelineBy lmclaurin
#navigation#automation#SpaceNavigation
Public
Brian Greenberg :verified:

⚠️ AI agents flunk the workplace test: Carnegie Mellon study reveals major gaps 🤖📉

Researchers built a simulated company — then handed it to AI agents.
The results? Brutal:
📉 Top agent completed fewer than 25% of assigned tasks
💬 Basic collaboration between agents broke down
🚫 Major operational failures at nearly every stage

The dream of a fully AI-run company isn’t just distant — it’s fundamentally unrealistic for now.

Human skills like coordination, judgment, and nuance still dominate.

#AI #WorkplaceAI #Automation #FutureOfWork #Leadership
businessinsider.com/ai-agents-

Business Insider · AI agents probably won't take these jobs, new study findsBy Shubham Agarwal
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Miguel Afonso Caetano

"In Finland, manufacturing accounted for 24 percent of GDP. By 1991, it had declined to 17. In Sweden, manufacturing as a share of GDP declined from 21 to 16 percent during the same period. But by the early 2000, Finland brought its manufacturing share of GDP back up to 24 percent, and Sweden raised its manufacturing share of GDP to 20 percent.

The same trend can be observed in Singapore. Singapore experienced quite a significant decline in manufacturing in the mid-1980s, from 27 percent to 20 percent. But by the mid-2000s, it had recovered back to 27 percent. By the way, Singapore, despite what people think, is one of the most industrialized countries in the world: in terms of per capita manufacturing output, it ranks in the top five globally. There’s an interesting myth about it being a service economy.

The most industrialized country in the world is Switzerland. You think that the Swiss are dealing in the black money from Third World dictators and selling cow bells and cuckoo clocks to American and Japanese tourists. Actually, it is literally the most industrialized country in the world, if you count in terms of manufacturing output per person.

These countries have managed to revive their manufacturing industry, and since then they have declined a bit. But the lesson here is that these countries could do that only because they had a deliberate policy to revive manufacturing. What Donald Trump is trying to do is wishful thinking. Countries that have successfully increased their manufacturing output have deliberate policies to support manufacturing. In the Swedish and Finnish case, it also extended to retraining the workers made redundant because of the decline in traditional manufacturing sectors and then turning them into workers for new industries."

jacobin.com/2025/04/tariffs-pr

jacobin.comHa-Joon Chang: There Should Be No Return to Free TradeDonald Trump’s attempts to overturn the global trade regime are chaotic and uncoordinated. As economist Ha-Joon Chang tells Jacobin, Trump has failed to see that the cause of the US’s relative decline is its own domestic capitalist class.
#USA#Trump#Manufacturing
Public
cogmodo

#introduction hi there! 👋 i’ve joined mastodon quite a while ago with my art, design and photography related account @aboutgrau

now i‘m starting here with a new account to focus more on my interests around #science #apple #automation #writing #reading and personal knowledge management or #pkm

expect some low volume posts here that circle around one topic in more depth

the new website cogmodo.com is also more or less live already. so have a look if you’re curious

cogmodo.com| cogmodocognition mode - science and technology, apple, automation, reading, writing, pkm and more
Public
Miguel Afonso Caetano

"To test this out, the Carnegie Mellon researchers instructed artificial intelligence models from Google, OpenAI, Anthropic, and Meta to complete tasks a real employee might carry out in fields such as finance, administration, and software engineering. In one, the AI had to navigate through several files to analyze a coffee shop chain's databases. In another, it was asked to collect feedback on a 36-year-old engineer and write a performance review. Some tasks challenged the models' visual capabilities: One required the models to watch video tours of prospective new office spaces and pick the one with the best health facilities.

The results weren't great: The top-performing model, Anthropic's Claude 3.5 Sonnet, finished a little less than one-quarter of all tasks. The rest, including Google's Gemini 2.0 Flash and the one that powers ChatGPT, completed about 10% of the assignments. There wasn't a single category in which the AI agents accomplished the majority of the tasks, says Graham Neubig, a computer science professor at CMU and one of the study's authors. The findings, along with other emerging research about AI agents, complicate the idea that an AI agent workforce is just around the corner — there's a lot of work they simply aren't good at. But the research does offer a glimpse into the specific ways AI agents could revolutionize the workplace."

tech.yahoo.com/ai/articles/nex

Yahoo Tech · Carnegie Mellon staffed a fake company with AI agents. It was a total disaster.By Shubham Agarwal
#AI#GenerativeAI#AIAgents
Public
Jcrabapple

I started using HyperChat on Linux for using LLMs for research. Added the Kagi MCP server for web search, Karakeep MCP server for searching and creating bookmarks, and the Obsidian MCP server for creating notes.

Now I can tell Gemini to research and summarize a topic, send the report to a note in Obsidian, and send all the source links to bookmarks in Karakeep (which get auto tagged and downloaded for offline use).

I discovered that HyperChat serves the models over the network too so I can access it from my phone.

Automation! 🙌🏻

Screenshot of HyperChat LLM chat server running in my mobile browser.
#automation#AI#LLMs
Public
Miguel Afonso Caetano

"The challenge, then, isn’t just understanding where A.I. is headed—it’s shaping its direction before the choices narrow. As an example of A.I.’s potential to play a socially productive role, Autor pointed to health care, now the largest employment sector in the U.S. If nurse practitioners were supported by well-designed A.I. systems, he said, they could take on a broader range of diagnostic and treatment responsibilities, easing the country’s shortage of M.D.s and lowering health-care costs. Similar opportunities exist in other fields, such as education and law, he argued. “The problem in the economy right now is that much of the most valuable work involves expert decision-making, monopolized by highly educated professionals who aren’t necessarily becoming more productive,” he said. “The result is that everyone pays a lot for education, health care, legal services, and design work. That’s fine for those of us providing these services—we pay high prices, but we also earn high wages. But many people only consume these services. They’re on the losing end.”

If A.I. were designed to augment human expertise rather than replace it, it could promote broader economic gains and reduce inequality by providing opportunities for middle-skill work, Autor said. His great concern, however, is that A.I. is not being developed with this goal in mind. Instead of designing systems that empower human workers in real-world environments—such as urgent-care centers—A.I. developers focus on optimizing performance against narrowly defined data sets."

newyorker.com/magazine/2025/04

The New Yorker · How to Survive the A.I. RevolutionBy John Cassidy
#AI#GenerativeAI#Automation
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