"Microsoft tempted to hit the gas as renewables can't keep up with AI"

The not so hidden costs of the so-called AI. This is your contribution every single time you use Copilot, ChatGPT and all that crap, and if you do really believe the "...with carbon capture technology..." part, at best, you're naive.

https://www.theregister.com/2025/03/13/microsoft_natural_gas_ai/

#LLMs #Microsoft #AI #datacenters
#environment #energy #sustainability

Manus AI is a new "agentic" AI from China that claims to exceed OpenAI's DeepResearch on a benchmark called "General AI Assistants" (GAIA).

https://manus.im/

I basically have a DIY Perplexity setup running in OpenWebUI (which is running politely alongside Plex). I'm using Mistral-Large with web search via SearXNG and the system prompt that Perplexity uses for their Sonar Pro searches.

And since OpenWebUI has an OpenAI-compatible API, I can connect to it from this GPTMobile app on my phone and query my custom search assistant model.

Report Finds #AI Tools Are Not Good at Citing Accurate Sources

https://www.socialmediatoday.com/news/report-ai-tools-fail-correct-citations-queries/742236/

"Programming in Lua" taking the gas out of the current Large Language Model AI bubble without realizing it or trying to.

10.2 – Markov Chain Algorithm

Our second example is an implementation of the Markov chain algorithm. The program generates random text, based on what words may follow a sequence of n previous words…

…After building the table, the program uses the table to generate random text, wherein each word follows two previous words with the same probability of the base text. As a result, we have text that is very, but not quite, random.

https://www.lua.org/pil/10.2.html

All that LLMs are doing is this same trick from Chapter 10.2, but scaled up massively. However it's still just generating random text, just with a high probability of it looking like text it's already seen. A regurgitating bullshit generator that often exceeds our ability to spot the randomness, but LLMs are just convincing liars.

And burning metric fucktons of fossil fuels. ( the real point of AI in 2025)

A reminder about today's and tomorrow's Community Development Program Quarterly meetings at 14:00 UTC today, and 02:00 UTC tomorrow. We will discuss AI/LLMs and The Carpentries.

We look forward to connecting with you, sharing updates, and exploring opportunities within our global community: https://carpentries.org/community/events/

New Report From Andreessen Horowitz: The Top 100 Gen #AI Consumer Apps (4th ed.) https://www.infodocket.com/2025/03/10/new-report-from-andressen-horowitz-the-top-100-gen-ai-consumer-apps-4th-ed/ #GenAI #llms

"This infection of Western chatbots was foreshadowed in a talk American fugitive turned Moscow based propagandist John Mark Dougan gave in Moscow last January at a conference of Russian officials, when he told them, “By pushing these Russian narratives from the Russian perspective, we can actually change worldwide AI.”

A NewsGuard audit has found that the leading AI chatbots repeated false narratives laundered by the Pravda network 33 percent of the time — validating Dougan’s promise of a powerful new distribution channel for Kremlin disinformation."

https://www.newsguardrealitycheck.com/p/a-well-funded-moscow-based-global #ai #llm #llms

Hunger Games for AI

OK really it's called "Survival Game" but that's the basic idea. Some Cornell researchers decided to put various LLMs through their paces, giving them a limited number of tries to solve a variety of problems, and eliminating those that failed in successive rounds of evaluation. I do NOT have the time to read this comprehensively, but from the intro:

Our results show that while AI systems achieve the Autonomous Level in simple tasks, they are still far from it in more complex tasks, such as vision, search, recommendation, and language. While scaling current AI technologies might help, this would come at an astronomical cost. Projections suggest that achieving the Autonomous Level for general tasks would require 1026 parameters. To put this into perspective, loading such a massive model requires so many H100 GPUs that their
total value is 4 × 107 times that of Apple Inc.’s market value. Even with Moore’s Law, supporting such a parameter scale would take 70 years. This staggering cost highlights the complexity of human tasks and the inadequacies of current AI technologies.

https://arxiv.org/pdf/2502.18858

Check it out! Tell me what jumped out at you.

I set up #OpenWebUI on one of my more powerful servers, and it is fantastic. I'm running a couple smaller local Llama models, and hooked up my Anthropic and OpenRouter API keys to get access to Claude and a bunch of other models including Mistral, DeepSeek, and others. I also linked up my Kagi search API key to give web search capabilities to the models that don't have a web index. I will probably lower my Kagi Ultimate subscription to Professional since I no longer have a need for their Assistant.

I graduated university without using AI even once. #Flex #AI #LLMs

New word: Enturdification!

Enturdification: When there's some AI slop in it, the whole thing is suspect.

A teaspoon of turd ruins the barrel of water. So a source that shows a single AI turd anywhere is enturdified, and untrustworthy everywhere.

(L) copyleft, take it, it's yours, etc

Google Debuts ‘AI Mode’ for Search https://www.byteseu.com/805482/ #AI #AIModels #amazon #ArtificialIntelligence #DeepSeek #GenAI #GenerativeAI #GenerativeArtificialIntelligence #google #LargeLanguageModels #LLMs #News #OpenAI #Perplexity #PerplexityAi #PYMNTSNews #SearchEngines

Daily report

Here are today's most popular trending hashtags on our website ️:

#programming, #owncast, #gaming, #linuxgaming, #unix, #nature, #llms, #openscience, #foss, #debian

Stay tuned!

The Guardian: Revealed: Israeli military creating ChatGPT-like tool using vast collection of Palestinian surveillance data

https://www.theguardian.com/world/2025/mar/06/israel-military-ai-surveillance