Tag: what is open source llm

OpenAI’s head ethicist, Chloé Bakalar, quietly left the company at some point in July after having been hired the previous August. Before working at OpenAI, she was Meta’s chief ethicist, and established AI ethics policies for Instagram and Facebook, according to a story by the Financial Times. The FT’s anonymous source apparently told that paper that Bakalar specialized in “ethical approaches to model development, how humans interact with AI and debate ov

Most of us by now have become more or less desensitized to a steady drip of AI slop: AI-generated influencers, musicians racking up millions of streams, LinkedIn posts—a sizable chunk of online content is now being churned out by bots, without any kind of federal regulation to keep it in check. Even the news is becoming automated: As Wired reported Wednesday, an AI-driven publication called RuntimeWire was the first to publish a major scoop about the recen

models from Hugging Face and most of the registry are in quantization Q4_K_M. Larger Russian models, such as GigaChat 3.1 Lightning, T-lite, and YandexGPT-5-Lite, didn't fit into 4 GB and are waiting for tests on a larger server. Before the measurements, I had to spend some time with the server and do four things: Swap 4 GB with vm.swappiness=10. Without it, the kernel would terminate 4B models on long texts due to memory shortage, but with swap they work,

Getty / Futurism The internet is so overrun with AI that anywhere you go, you run the risk of accidentally stepping into a puddle of slop. If only there were a gallant gentleman always at hand to drape their coat over these muddy obstacles so you could avoid ruining your day. It’s not quite on that level, but some netizens are proposing a new term to call out AI slop so other people can avoid wasting their time — or to just make fun of the person peddling

JOHN MACDOUGALL/AFP via Getty Images OpenAI CEO Sam Altman went into full damage control mode over the weekend. A day before the United States attacked Iran, the embattled CEO announced that the company had signed a new agreement with the Pentagon over how its AI models could be used — and the blowback is clearly impacting the company’s bottom line, because Altman is sounding deeply defensive. Many users saw the military terms move as an attempt to swoop i

Nvidia CEO Jensen Huang resigned Thursday after he admitted to an affair with an alleged Chinese spy, raising concerns about U.S. national security and the motives behind the executive’s support for softer chip export controls on China. Huang has been a staunch supporter of open source AI, framing the ecosystem as good for safety, innovation, diffusion, and sovereignty. And as frontier AI labs increasingly move to reduce their reliance on Nvidia and build

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images The New York Times faced scrutiny online this week after netizens speculated that a personal essay featured in its storied “Modern Love” column was generated using AI and published without disclosure. Nothing is proven; the AI allegations remain exactly that. The AI paranoia among readers, though, is very real. The controversy kicked off over the weekend, when Becky Tuch of Lit Mag News t

only dig, no bury. Cheng Qian, from Aofeisi Qubit AI | WeChat Official Account QbitAI Recently, the issue of AI finding bugs has become quite fragmented. On one side, AI, once it steps in, reviews everything, first uncovering a major security vulnerability in PHP's core , then exposing 948 Linux kernel vulnerabilities …… On the other side, the open-source community is almost overwhelmed: you found the vulnerabilities, but where's the fix! Yesterday, the cy

Real-time microplastic detection and velocity calculation. Credit: Microplastics (2025). DOI: 10.3390/microplastics4040075 Microplastics have become an invisible but persistent threat in rivers, lakes, oceans, and even in the water we drink. These tiny plastic fragments can drift for miles, settle on the seafloor, or remain suspended for years, harming ecosystems and human health. Scientists still lack a standard way to measure how microplastics move throu

The three issues mentioned in must be resolved; otherwise, data will ultimately become the biggest bottleneck in the implementation of these technologies. This is the conclusion drawn by a former Microsoft researcher from Asia. As for the other , they are not directly related to the main topic but provide additional context. Author: Deng Zheming, Editor: Qi Chengyong, Earlier this autumn, technologies such as Skild S1, Generalist GEN-1.5, and RoboTTT made

TAG224@@Key feature: Explainable AI. The trader sees not just “BUY,” but why the model decided that way. This reduces mistrust and makes it possible to quickly verify the context.TAG230@@6. The problem of mixed signals (and why we did not resort to a quick fix)During testing, we noticed that VKCO received a BUY signal (64%), even though its news was neutral (market_pressure=0). The model had simply learned that the market rises 55% of the time.We considere

Credit: CC0 Public Domain AI's superior ability to formulate thoughts and statements for us weakens our judgment and ability to think critically, says media professor Petter Bae Brandtzæg. No one knew about Chat GPT just three years ago. Today, 800 million people use the technology. The speed at which AI is rolling out breaks all records and has become the new normal. Many AI researchers, like Brandtzæg, are skeptical. AI is a technology that interferes wi

Shall we play a game? Elon Musk-funded Dota 2 bots spank top-tier humans, and they know how to trash talk The only way humans won? When they stacked the deck in their favor. Ars Staff – Aug 6, 2018 1:40 pm | 131 Shadow Fiend, looking shadowy and fiendish. Credit: Valve Shadow Fiend, looking shadowy and fiendish. Credit: Valve Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimiz

When 90 batches arrived for reviewLLMs are increasingly being integrated into existing business processes: information search and collection, data structuring, verification, and publishing. At the same time, the cost of a single mistake can be high: lost money, time, and reputation.The Human-in-the-Loop principle helps reduce this risk: a person who validates the data is added to the process. This article brings together our findings from two real-world bu

In May, I wrote about my SD Studio app—a wrapper around Stable Diffusion where you describe the image in ordinary language, while an LLM and presets select the prompt and settings. I built it to generate hundreds of illustrations for a choose-your-own-adventure book for free; why I needed my own app is also explained in the first article.I spent a very long time trying to get six fingers, but couldn't) Over the past six months, local image-generation model

Without this file, every new agent would keep stepping on the same rakes. With it, they step on new ones.PitfallsThe most interesting part. All 498 tests run on mocks. Mocks are how the agent imagines the API. Reality turned out to be more inventive.1. Address = warehouseThe first assembled cart looked perfect. I opened the app—and half the items were marked “Sold out”: onions, chicken breast, carrots, cucumbers, and cottage cheese. Yet the API honestly re

Shutterstock / Futurism There are a litany of reasons to take the output of generative AI with a heavy dose of salt. Its answers are known to sound authoritative, convincing, and elaborate — while simultaneously being completely and utterly wrong. It’s a lesson astrophysicist and science communicator Paul Sutter learned the hard way, and was brave enough to share with the world. In a article for the publication Nautilus earlier this month, Sutter retold a

Researchers and artificial intelligence work together to collect experimental materials science data from papers worldwide and build a database. Credit: Kenji Tashiro. Instagram: ripplemarkmaker. CC-BY-4.0 Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new materials, but predicting material properties is no sim

Evolving from vision MLOps tool to generative AI LLMOps tool. Credit: Electronics and Telecommunications Research Institute (ETRI) Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and shipbuilding, providing them with a significant boost. ETRI has now released the core technology of MLOps tool, which automatically generat

Zhidx (WeChat public account: zhidxcom) Author | Chen Junda Editor | Mo Ying Zhidx reported on November 11. Late last night, MiniMax officially released its new-generation image generation model, H3-Image, and made the model weights available simultaneously. According to feedback from numerous users’ hands-on tests, H3-Image is already capable of competing head-to-head with the world’s top image generation models and hasreached state-of-the-art (SOTA) leve