I'm trying to do voice cloning for animations/lip-syncs. By now fast-tts is doing the job but the results aren't always usable. Sometimes it switches gender, it's kinda metallic and it's very slow and i'm tired of python requirements... I've tried non-locals like Murf.ai, natural-reader and 11labs but the least disabled voice-cloning for free users and i just don't want to submit my credit-card details cause of their privacy policy. Now i'm left wondering if i just wait for the opensource community to enhance or to swallow the bitter pill and register with 11labs. Has anyone experience with TTS?

Huffman has said, "We are not in the business of giving that [Reddit's content] away for free." That stance makes sense. But it also ignores the reality that all of Reddit's content has been given to it for free by its millions of users. Further, it leaves aside the fact that the content has been orchestrated by its thousands of volunteer moderators.

touché

cross-posted from: https://lemmy.world/post/440237

The latest update of Koboldcpp v1.32 brings significant performance boosts to AI computations at home, enabling faster generation speeds and improved memory management for several AI models like MPT, GPT-2, GPT-J and GPT-NeoX, plus upgraded K-Quant matmul kernels for OpenCL.

By leveraging GPU power via OpenCL and implementing optimized programming techniques, it allows hobbyist and enthusiast users to run these advanced models more efficiently on home hardware.

LostRuin's Koboldcpp v1.32 GitHub Patch Notes

• Ported the optimized K-Quant CUDA kernels to OpenCL ! This speeds up K-Quants generation speed by about 15% with CL (Special thanks: @0cc4m)

• Implemented basic GPU offloading for MPT, GPT-2, GPT-J and GPT-NeoX via OpenCL! It still keeps a copy of the weights in RAM, but generation speed for these models should now be much faster! (50% speedup for GPT-J, and even WizardCoder is now 30% faster for me.)

• Implemented scratch buffers for the latest versions of all non-llama architectures except RWKV (MPT, GPT-2, NeoX, GPT-J), BLAS memory usage should be much lower on average, and larger BLAS batch sizes will be usable on these models.

• Merged GPT-Tokenizer improvements for non-llama models. Support Starcoder special added tokens. Coherence for non-llama models should be improved.

• Updated Lite, pulled updates from upstream, various minor bugfixes.

To use, download and run the koboldcpp.exe, which is a one-file pyinstaller. Alternatively, drag and drop a compatible ggml model on top of the .exe, or run it and manually select the model in the popup dialog.

Once loaded, you can connect like this (or use the full koboldai client):

http://localhost:5001

For more information, be sure to run the program with the --help flag.

Want to run AI models at home? Checkout Koboldcpp on Github, an inference engine made by LostRuins, or any of the other many options you can download at home for free.

Hi! I just got a new computer recently, and I'm concerned about browser security and security in general. Any recommendations for a good secure browser? Preferably open source.

OpenAI's lobbying efforts in the European Union are centered around modifying proposed AI regulations that could impact its operations. The tech firm is notably pushing for a weakening of regulations which currently classify certain AI systems, such as OpenAI's GPT-3, as "high risk."

Altman's Stance on AI Regulation:

OpenAI CEO Sam Altman has been very vocal about the need for AI regulation. However, he is advocating for a specific kind of regulation - those favoring OpenAI and its operations.

OpenAI's White Paper:

OpenAI's lobbying efforts in the EU are revealed in a document titled "OpenAI's White Paper on the European Union's Artificial Intelligence Act." The document focuses on attempting to change certain classifications in the proposed AI Act that classify certain AI systems as "high risk."

"High Risk" AI Systems:

The European Commission's "high risk" classification includes systems that could potentially harm health, safety, fundamental rights, or the environment. The Act would require legal human oversight and transparency for such systems. OpenAI, however, argues that its systems such as GPT-3 are not "high risk," but could be used in high-risk use cases. It advocates that regulation should target companies using AI models, not those providing them.

Alignment with Other Tech Giants:

OpenAI's position mirrors that of other tech giants like Microsoft and Google. These companies also lobbied for a weakening of the EU's AI Act regulations.

Outcome of Lobbying Efforts:

The lobbying efforts were successful, as the sections that OpenAI opposed were removed from the final version of the AI Act. This success may explain why Altman reversed a previous threat to pull OpenAI out of the EU over the AI Act.

Source (Mashable)

PS: I run a ML-powered news aggregator that summarizes with an AI the best tech news from 50+ media (TheVerge, TechCrunch…). If you liked this analysis, you’ll love the content you’ll receive from this tool!

The goal of this paper: This paper was written to help people understand current wifi technology, so that YOU can make an educated 'router' upgrade decision -- because there is WAY too much hype out there (especially about wifi speeds) -- and router manufacturers' are directly to blame.

This site is a great resource if you want to understand WiFi and make informed decisions on which WiFi router to buy. It is very old school presentation, but wowsers the detail.

via Snuupy at Hacker News

From the article: OLED and MicroLED are the future

cross-posted from: https://lemmy.ml/post/1366662

Richard Stallman was right since the very beginning. Every warning, every prophecy realised. And, worst of all, he had the solution since the start. The problem is not Richard Stallman or the Free Software Foundation. The problem is us. The problem is that we didn’t listen.