/tags/ml/ Recent bookmarks tagged #ml Mon, 02 Nov 2026 08:24:46 +0000 https://futurism.com/artificial-intelligence/court-finds-copyrighted-material-training-data-fair-use Now, the legal system is starting to show signs that the defense could be on thin ice. Last week, a US appeals court upheld a ruling that AI legal research company Ross Intelligence had broken copyright law by training its legal search engine on materials taken from Thomson Reuters’ Westlaw legal research platform and database.<br/> <p><strong>Tags:</strong> #ai #copyright #legal #llms #ml</p> Thu, 08 Oct 2026 20:10:03 +0000 linkding-ssg:bookmark:38801 ai copyright legal llms ml https://typesafe.ai/blog/introducing-system-one-models-and-jev Our first public model is Jev, available today in early access. Jev achieves similar levels of intelligence on System One tasks compared to existing LLMs, while being two orders of magnitude faster and more efficient. While Jev gives up string generation, it’s optimized for structured outputs and can’t hallucinate. Think of Jev as a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out.<br/> <p><strong>Tags:</strong> #ai #llms #ml #models</p> Thu, 24 Sep 2026 18:04:57 +0000 linkding-ssg:bookmark:38762 ai llms ml models https://entropicthoughts.com/cheaper-llm-labeling I learned for this project that a logistic regression can be trained by streaming it one label at a time, and using gradient descent to nudge its weights toward a better fit. I haven’t fully worked through the derivation, but this is not that complicated as far as these things go. And the final result is just 3–10 lines of code depending on how you count. I wish I knew this years ago! It’s so elegant.<br/> <p><strong>Tags:</strong> #ai #llms #ml</p> Wed, 23 Sep 2026 22:03:42 +0000 linkding-ssg:bookmark:38757 ai llms ml https://minimaxir.com/2025/11/nano-banana-prompts/ For developers who want to build apps that programmatically generate images from Nano Banana, Google offers the gemini-2.5-flash-image endpoint on the Gemini API. Each image generated costs roughly $0.04/image for a 1 megapixel image (e.g. 1024x1024 if a 1:1 square): on par with most modern popular diffusion models despite being autoregressive, and much cheaper than gpt-image-1’s $0.17/image.<br/> <p><strong>Tags:</strong> #ai #genai #images #llms #ml</p> Sun, 16 Nov 2025 01:08:10 +0000 linkding-ssg:bookmark:37972 ai genai images llms ml https://github.com/minimaxir/nano-banana-tests?tab=readme-ov-file Jupyter Notebooks for experiments prompt engineering Nano Bana/Gemini 2.5 Flash Image.<br/> <p><strong>Tags:</strong> #ai #genai #images #llms #ml</p> Sun, 16 Nov 2025 01:06:21 +0000 linkding-ssg:bookmark:37971 ai genai images llms ml https://github.com/minimaxir/gemimg Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana<br/> <p><strong>Tags:</strong> #ai #genai #images #llms #ml</p> Sun, 16 Nov 2025 01:06:13 +0000 linkding-ssg:bookmark:37970 ai genai images llms ml https://jessylin.com/2025/10/20/continual-learning/?ref=sidebar If we want to move towards a world where models are “always training” and continually learning from experience over time, we need to address a basic challenge: how do we keep updating the parameters of a model without breaking it? In this post, I’ll motivate memory layers as a natural architecture for this paradigm: high-capacity, but sparse (few active parameters) on each forward pass. In our recent paper, we found that finetuning memory layers enables learning without forgetting much more effectively than LoRA. When learning TriviaQA facts, NaturalQuestions performance drops by 89% with full finetuning and 71% with LoRA, but only 11% with memory layers. Along the way, I’ll also discuss the challenges of the continual learning problem broadly.<br/> <p><strong>Tags:</strong> #ai #genai #llms #ml</p> Tue, 28 Oct 2025 17:58:15 +0000 linkding-ssg:bookmark:37886 ai genai llms ml https://hojberg.xyz/the-programmer-identity-crisis/ Inside companies, power dynamics are shifting as this new identity is pushed. In a mad dash to increase productivity in the wrong place7, developers are forced to use LLMs in increasingly specific ways. Conform or be cast out. Use the products that herald our obsolescence, or resign. Scarcely has management mandated such specifics of our tools before. Tools, like those of a chef or carpenter, that we’ve taken great pride in curating and honing ourselves: careful configuration of our editor, tinkering with dot files, and dev environments. As part of the craft, we’ve been dedicated and devoted to personalizing our toolsets to match our thinking. It feels like a violation to have this be decreed by management, who have little to no connection to the day-to-day, and who should instead be concerned with outcomes, process, and facilitating creativity. For decades, programmers have been pampered within companies. These narratives offer a new way for management to tip the balance back in their favor.<br/> <p><strong>Tags:</strong> #ai #career #codegen #genai #llms #ml</p> Thu, 09 Oct 2025 23:47:29 +0000 linkding-ssg:bookmark:37800 ai career codegen genai llms ml https://github.com/obra/smallest-agent/tree/main Some folks were talking about how minimal they could make a functional coding agent. I decided to play the game.<br/> <p><strong>Tags:</strong> #agents #ai #codegen #llms #ml</p> Wed, 01 Oct 2025 03:24:35 +0000 linkding-ssg:bookmark:37766 agents ai codegen llms ml https://github.com/obra/private-journal-mcp A lightweight MCP server that provides Claude with a private journaling capability to process feelings and thoughts<br/> <p><strong>Tags:</strong> #ai #claude #codegen #dev #llms #ml</p> Wed, 01 Oct 2025 03:23:49 +0000 linkding-ssg:bookmark:37765 ai claude codegen dev llms ml https://blog.fsck.com/2025/06/24/my-agentic-coding-methodology-of-june-2025/ I was chatting with some friends about how I'm using "AI" tools to write code. Like everyone else, my process has been evolving over the past few months. It seemed worthwhile to do a quick writeup of how I'm doing stuff today.<br/> <p><strong>Tags:</strong> #ai #codegen #dev #llms #ml</p> Wed, 01 Oct 2025 03:23:01 +0000 linkding-ssg:bookmark:37764 ai codegen dev llms ml https://lucumr.pocoo.org/2025/9/29/90-percent/ For me, this has reached the point where I can’t imagine working any other way. Yes, I could probably have done it without AI. But I would have built a different system in parts because I would have made different trade-offs. This way of working unlocks paths I’d normally skip or defer.<br/> <p><strong>Tags:</strong> #ai #codegen #dev #llms #ml</p> Wed, 01 Oct 2025 00:43:44 +0000 linkding-ssg:bookmark:37763 ai codegen dev llms ml https://jina.ai/news/reader-lm-small-language-models-for-cleaning-and-converting-html-to-markdown/ <p><strong>Tags:</strong> #ai #markdown #ml #models #webdev</p> Wed, 03 Sep 2025 18:06:09 +0000 linkding-ssg:bookmark:33262 ai markdown ml models webdev https://gwern.net/ai-daydreaming De­spite im­pres­sive ca­pa­bil­i­ties, large lan­guage mod­els have yet to pro­duce a gen­uine break­through. The puz­zle is why. A rea­son may be that they lack some fun­da­men­tal as­pects of human thought: they are frozen, un­able to learn from ex­pe­ri­ence, and they have no “de­fault mode” for back­ground pro­cess­ing, a source of spon­ta­neous human in­sight.<br/> <p><strong>Tags:</strong> #ai #cogsci #llms #ml</p> Wed, 16 Jul 2025 19:06:02 +0000 linkding-ssg:bookmark:29434 ai cogsci llms ml https://blog.nilenso.com/blog/2025/06/23/how-i-keep-up-with-ai-progress/ I’ve curated a list of sources that make up an information pipeline that I consider balanced and healthy. If you’re late to the game, consider this a good starting point.<br/> <p><strong>Tags:</strong> #ai #codegen #llms #ml</p> Tue, 15 Jul 2025 22:18:29 +0000 linkding-ssg:bookmark:29450 ai codegen llms ml