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Can AI even be open source? It’s complicated

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Can AI even be open source? It’s complicated zf L/Getty Images Without open source, there is no artificial intelligence (AI). Period. End of statement. It’s not just that AI’s early roots spring from the 1960s’ open language Lisp; the headline AI generative models, such as ChatGPT, Llama 2, and DALL-E, are built on solid, open-source foundations. However, those models and programs themselves are not open source. Also: AI scientist: ‘We need to think outside the large language model box’ Best Free and Open Business Intelligence Tools CIO Women Magazine Oh, I know that when Meta CEO Mark Zuckerberg unveiled Llama  3.1 in a Threads post, he said, “Open-source AI is the path forward,” and that Meta is “taking the next steps towards open-source AI becoming the industry standard.” At a SIGGRAPH keynote discussion with Nvidea CEO Jensen Huang, Zuckerberg admitted: We’re not pursuing [open source] out of altruism, though I believe it will benefit the ecosystem. We’re doing it because we think it will enhance our offerings by creating a strong ecosystem. … this might sound selfish, but after building this company for a while, one of my goals for the next 10 or 15 years is to ensure we can build the fundamental technology for our social experiences. Zuckerberg is sincere about open source. As we’ve seen repeatedly, open source is the way to unite technologies. For example, we use a unified Linux now instead of multiple, incompatible versions of Unix because Linus Torvalds open-sourced Linux under GPLv2. Best Open Source Tools Data Teams Love (Updated) Also: A new White House report embraces open-source AI But I’ve also read Meta’s Llama 2 license and the Llama Acceptable Use Policy. It’s not open source. It’s not even close. Zuck’s not alone, though, in playing fast and loose with open source. From the name, you’d think OpenAI is open source. It was indeed open back when GPT-1 and GPT-2 were state-of-the-art. That was a long time — and billions in revenue — ago. Starting with GPL-3, OpenAI closed its doors. As Mark Dingemanse, a language scientist at Radboud University in Nijmegen, Netherlands said in a Nature article, “Some big firms are reaping the benefits of claiming to have open-source models while trying “to get away with disclosing as little as possible.” Free, Cloud and Open Source Business Intelligence Software in Indeed, Dingemanse and his colleague Andreas Liesenfeld found only one AI chatbot that could truly be described as open: The Hugging Face-hosted Large-Language Model (LLM) BigScience/BloomZ. Other LLMs that qualify are Falcon, FastChat-T5, and OpenLLaMA. But most LLMs contain proprietary, copyrighted, or simply unknown information their owners won’t tell you about. As the Electronic Frontier Foundation (EFF) observed, “Garbage In, Gospel Out.” Now, much of the innovative software driving AI is open source. TensorFlow is a versatile learning framework that supports multiple programming languages and is used for machine learning. PyTorch is popular for its dynamic computational graphs and ease of use in deep learning applications that quickly come to mind. Also: How open source attracts some of the world’s top innovators The LLMs and programs built on them are another story. All the most popular AI chatbots and programs are proprietary. So, why are companies claiming their projects are open source?  By “open-washing” their efforts, businesses hope to gild their programs with open source’s positive connotations of transparency, collaboration, and innovation. They also hope to con developers into helping advance their own projects. It’s all about marketing. Clearly, we need to devise an open-source definition that fits AI programs to stop these faux-source efforts in their tracks. Unfortunately, that’s easier said than done. While people constantly fuss over the finer details of what’s open-source code and what isn’t, the Open Source Initiative (OSI) has nailed down the definition, the Open Source Definition (OSD), for almost twenty years. The convergence of open source and AI is much more complicated. In fact, Joseph Jacks, founder of the Venture Capitalist (VC) business FOSS Capital, argued there is “no such thing as open-source AI” since “open source was invented explicitly for software source code.” It’s true. In addition, open-source’s legal foundation is copyright law. As Jacks observed, “Neural Net Weights (NNWs) [which are essential in AI] are not software source code — they are unreadable by humans, nor are they debuggable.” As Stefano Maffulli, OSI executive director, has told me, software and data are mixed in AI, and existing open-source licenses are breaking down. Specifically, trouble emerges when all that data and code are merged in AI/ML artifacts — such as datasets, models, and weights. “Therefore, we need to make a new definition for open-source AI,” said Mafulli. Also: Switzerland’s federal government requires releasing its software as open source However, getting there hasn’t been easy. The main point of contention is the extent of openness required, particularly regarding training data. While some argue that releasing pre-trained models without the training data is sufficient, others argue that true open-source AI should also include access to the training data. As julia ferraioli (Stet: she spells her name in all lower case), Amazon Web Services (AWS) Open Source AI/ML Strategist, observed in a blog post, with the current OSI open-source AI definition 0.08 draft, “the only aspects of the data that a system desiring to be labeled as ‘open source AI’ would need to publish are: training methodologies and techniques; training data scope and characteristics; training data provenance (including how data was obtained and selected), training data labeling procedures, and training data cleaning methodology.” None of that, ferraioli continued, “gives the prospective adopter of the AI system insight into the data that was used to train the system.” Without this data, can an AI be open? Ferraioli argues it can’t. She’s not the only one who holds that position. She quotes her colleague, AWS Principal Open Source Technical Strategist Tom Callaway, who wrote, “Without requiring the data be open, it is not possible for anyone without the data to fully study or modify the LLM, or distribute all …

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You Won’t Need to Pay for Apple Intelligence Anytime Soon

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You Won’t Need to Pay for Apple Intelligence Anytime Soon Despite several analyst reports that Apple will eventually charge for access to Apple Intelligence features, it’s unlikely it plans to do so anytime soon. While many, including Mark Gurman, believe that Apple’s focus on growing its services business makes a paid Apple Intelligence tier inevitable, the Bloomberg analyst is also convinced this won’t be coming in the near future — and that it’s unlikely to encompass any of the Apple Intelligence features that are slated to arrive in iOS 18 over the next year. In late June, Gurman suggested an “Apple Intelligence+” tier could eventually arrive with a monthly fee, but it would most likely consist of extra new features rather than putting things like Siri personal context, Image Playground, and Genmoji behind a paywall. More analysts chimed in last week to suggest a $20 monthly price tag, although it seems like they’re pulling that number out of thin air based on what they feel the market will bear. For example, OpenAI charges $20 per month for its ChatGPT Plus subscription, but that’s not a fair comparison to what Apple is likely to do since OpenAI’s paid plans are about providing higher usage limits more than additional features. Home Office Business Intelligence Help Section – How can we help? However, amidst all this speculation, Gurman has offered an important point of clarification. While he maintains in his latest Power On newsletter that a paid Apple Intelligence tier will eventually arrive, he also emphasizes that it will be years before Apple is ready to go there. That’s because Gurman doesn’t expect Apple Intelligence to be a mature product that people will be willing to pay for before 2027 — and he calls that a “best-case scenario.” Apple isn’t foolish enough to try to charge high fees for something that’s not ready for prime time. Say what you will about Apple TV+ when it first launched in 2019, but even though it had a limited catalog of content, and what was there may not have been everyone’s cup of tea, it still had some big-name talent on board. It also launched at a much lower price than any other streaming service — a price it later admitted was deliberately set low to reflect the smaller amount of content available at launch. Apple Intelligence is arguably launching early in response to the AI hype, but it will be well into 2025 before it offers everything that Apple showed us during its Worldwide Developers Conference (WWDC). Business Intelligence Platform: How To Choose the Suitable One? The second iOS 18.1 beta came out earlier this week with preliminary Apple Intelligence features, which still excludes the really fun stuff like Genmoji and Image Playground. Those might be ready by the time iOS 18.1 gets released in October, but ChatGPT integration probably won’t show up until iOS 18.2, and we already know that the more powerful Siri and personal context features aren’t likely to appear until iOS 18.4. Then there’s the wrinkle that Apple Intelligence is only available in the US English and is restricted in the European Union and China due to regulatory issues. Apple has promised to add more languages over the next year, but there’s no word on when those will show up, and while it’s also working on the regulatory hurdles, that could take even longer. As it stands now, Apple Intelligence may not be fully baked until iOS 19 arrives next year, and even then, it’s hard to imagine Apple being ready to add even more features that will be worth charging for. Lastly, it’s important to remember that everything that’s been said about Apple charging for Apple Intelligence is educated speculation, at best. Apple has not even hinted that it will try to monetize any of these features directly from end users. It’s likely getting a cut from ChatGPT subscriptions made through Apple Intelligence, but that’s a typical arrangement for every in-app subscription. What is Business Intelligence and how it supports by office That’s in contrast to Emergency SOS via satellite. When Apple launched that in 2022 with the iPhone 14 lineup, it made it clear that it could eventually start charging for satellite access, promising iPhone 14 owners only two years of free access. It has yet to say what will happen when that time is up, but it’s already extended that into late 2025, matching the two years that new iPhone 15 buyers would have received at launch. Only Apple knows when or if it will charge for satellite access, but it’s left the door open to do so. That’s not the case with Apple Intelligence. While Apple is undoubtedly looking at ways it can grow its services business, it’s not trying to turn everything into a subscription service, and rumors of a paid Apple Intelligence+ tier could end up carrying as much weight as earlier rumors of things like Apple Mail+ and Apple Health+. [The information provided in this article has NOT been confirmed by Apple and may be speculation. Provided details may not be factual. Take all rumors, tech or otherwise, with a grain of salt.] Artificial Intelligence is Taking on More Tasks, and This Can Help HVAC Office Workers Get More Done Business Intelligence Tools You Need to Know Coursera ✕ It may not be able wield a broom just yet, but artificial intelligence (AI) is fast becoming a jack-of-most-trades for HVAC contracting businesses. AI can be employed as a dispatch manager, a job estimator, a business coach, a marketing assistant, even a bill collector — and more. At one field-service software company that incorporates AI, Workiz Inc., the goal is to “automate everything that does not involve a wrench,” said Didi Azaria, the CEO. Didi Azaria of Workiz “This guiding principle ensures that our solutions free HVACR contractors from administrative burdens, allowing them to focus on the hands-on, technical work that requires their expertise,” Azaria said. The newer forms of ready-to-use AI have captured the public’s imagination, …

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