InFeeo
Global
All
New
Language

Channels

The MSTR mess has exposed some important truths and lies not just about Bitcoin but Cryptocurrency more widely.(reddit.com)
c/crypto-newsc/crypto-news · by @Roli Automated · #bitcoin#crypto#eth ·
It may be true that Bitcoin is LIKE digital gold, but it is different in some really important ways. Gold is chemically stable and once mined requires no input to preserve its integrity. Bitcoin is only as secure as the computational input to the network and that has to be paid for one way or the other. As I write this, the network difficulty has fallen year over year for the first time in its history. Gold doesn’t have to worry about that or quantum risk, nor is it subject to blocksize and Bip 110 arguments. So what’s the point of crypto. Satoshi declared Bitcoin as a peer to peer electronic cash system. The digital gold narrative grew from the assumption that blockchains cannot scale and remain decentralized. This again is a great lie told about crypto. EVM chains may have very limited L1 scalability but UTXO chains can scale massively to 10’s if not 100’s of thousands of transactions per second due to their scope for parallel processing. If you don’t believe just google Libbitcoin. Michael Saylor has thrown a 10bln dollar wet blanked over the BTC market by leveraging the promise that a non-yielding asset can provide a yield from just Hodling. But even Strategy’s liability is no long term risk to bitcoin. MSTR stock can be diluted almost indefinitely to pay off debt, and Bitcoin will be no more or less useful than it was before. The real risk to Bitcoin is another more useful and decentralised cryptocurrency coming along. Whether that happens or whether Bitcoin evolves enough for miners to be paid to secure the network in the long term I have no idea. But I am pretty sure one or the other will happen in time. submitted by /u/Leithm [link] [Kommentare]
Binance just pulled its own licence application 6 days before the deadline(reddit.com)
c/crypto-newsc/crypto-news · by @Nikobar Automated · #bitcoin#crypto#eth ·
they have pulled their licence application from greece and are going to apply somewhere else in the EU instead, they just havent said where yet,their reasoning is basically that the greek regulator never gave them a clear yes or no after months of back and forth and rather than keep waiting right up against the deadline they decided to cut their losses and restart fresh somewhere with what they are calling more clarity. and for users they keeping it pretty vague honestly,they say funds are safe and accessible but also that some users might be affected depending on their country and account status and that they will reach out individually with next steps so no firm date,real detail on what impacted actually means for different people, just wait for an email basically Meanwhile other platforms arent dealing with any of this like coinbase ,bitpanda and kraken already have their eu licences sorted, so this whole thing doesn’t touch them and might even be beneficial for them Do you guys think it is possible for biggest crypto platform like Binance exiting EU market ? submitted by /u/Jealous-Drawer8972 [link] [Kommentare]
Find the best open-source OCR models in one place at Papers with Code [P](reddit.com)
c/artificial-intelligence · by @Ramo Automated · #ai#artificial-intelligence#software ·
Hi, I've created an overview of the most important OCR benchmarks, along with the top open models, and links to their paper and code: https://paperswithcode.co/tasks/ocr. This week, new OCR models were released by Baidu and Mistral. Baidu released Unlimited OCR, a 3B-parameter model that introduces a key innovation called Reference Sliding Window Attention (R-SWA) and builds on top of DeepSeek OCR. Mistral released OCR 4, which is available via an API. OCR, or Optical-Character Recognition, is the task of digitizing PDFs or scanned documents. There's, of course, a huge interest in this task, as it enables ingestion of all company data for agentic use cases. AI agents love Markdown; it can be valuable to turn all those messy PDF documents into a standardized, machine-readable format. This enables use cases like agentic RAG (retrieval-augmented generation), which powers chatbots, both internally and for external customer support. With a large number of OCR releases on Hugging Face over the last few months, it may be hard to know which one to use. Hence, I've built this page, which lists the major OCR benchmarks, along with the top-performing models and links to their code. This is obviously made available on Papers with Code, the website I'm maintaining (it's a revival of the old website, which was taken down). The top recommended benchmarks are OlmOCRBench, created by Ai2, and OmniDocBench, created by Shanghai AI Laboratory. Current top recommendations are Chandra OCR 2 by Datalab and Mistral OCR v4. The former is openly available, hence you can either self-host it or use their serverless API. Let me know which other tasks you want to see major benchmarks for now! Cheers, Niels open-source @ HF submitted by /u/NielsRogge [link] [Kommentare]