BrikoX

Have strong opinions, but I welcome any civil fact-based discussion.

Mastodon: @[email protected]

  • 14.9K Posts
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Joined 2 years ago
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Cake day: July 9th, 2023

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  • ChatGPT and co are also banned by many the same countries that banned DeepSeek and also most companies. Everyone either uses open source self-hosted models or they use internally produced ones. It’s literally no different from how other could-only solutions with embedded tracking are treated.

    Also stop comparing GPT-4 model with DeepSeek hosted service. Compare model to model or service to service.

    Open source models can be uncensored (which is already the case for DeepSeek R1 model), proprietary cloud-only models can’t.

    So yes, we should really ask which “transparency” we should be seeking. A whole article written to justify desired result instead manages to prove the opposite correct. Good job Suzannah.











  • I’m sure his opinion is no way influenced by his own company’s goals.

    Dan Goman is the founder and CEO of Ateliere Creative Technologies, a pioneering cloud-native media supply chain company that enables media enterprises and content creators to reach audiences globally. Recognizing the imminent shift from traditional broadcast to digital, Dan foresaw the industry’s necessity to transition its entire media supply chain to the cloud to remain competitive in a digital-first era dominated by technology companies.

    He led a team of highly skilled software experts to develop a SaaS-based media supply chain platform, designed for turnkey implementation and operational within days, without requiring substantial capital expenditure. This initiative resulted in Ateliere Connect, a platform that manages the media supply chain from concept to consumer, significantly reducing costs for content owners and enhancing global content monetization. With Ateliere Connect, content owners can now monetize their content on any platform with a single click, as the intelligent automation and seamless integration with any global content platform eliminate traditional cost and time barriers.

    Under Dan’s leadership, Ateliere continues to push the envelope with its latest Gen AI-driven media supply chain platform. The new generation of Ateliere Connect utilizes sophisticated, continuously learning Gen AI engines to address industry challenges. Notably, the platform can now analyze consumer content demand and suggest optimal monetization strategies to content owners. It also automates the programming and distribution of fast channels based on consumer data. The platform’s foundation already incorporates AI through its proprietary FrameDNA™ technology, used by industry giants like Lionsgate, MGM, the World Poker Tour® and other large content studios. This technology significantly reduces AWS storage costs by identifying and eliminating redundant content, offering substantial cost savings and operational efficiencies.

    Dan has a strong software background, having held various software-related roles at companies such as Microsoft, Lucent Technologies, AT&T Wireless, and Computer Associates.


    DeepSeek’s assertions about its advancements have drawn significant attention <…>

    Only from rival companies which 10 out of 11 top models are from US based companies.

    Transparency has always been a cornerstone for evaluating cutting-edge technologies, and until DeepSeek provides more concrete evidence, skepticism is not just warranted—it’s necessary.

    That is the most straight-faced lied ever told… Literally all cutting-edge tech is hidden behind NDA’s or trade secret classifications. US own LLM models are mostly closed source, with even weights not being available. There is literally lawsuits in the US about lack of transparency on the data used in training the models.

    One of the most puzzling aspects of the DeepSeek story is the apparent discrepancy between the resources they claim to have and those they might actually possess.

    Which is irrelevant in context of model capabilities. It’s already trained and that’s the competition now. Which article like these really shows US based companies are incapable of going against.

    How did DeepSeek manage to foot this bill, especially given their previously disclosed financials?

    Again, irrelevant in context of model capabilities.

    Additionally, there’s an elephant in the room: Did they rely on other LLMs during training? This would raise ethical and competitive concerns, as it has long been recognized as a controversial practice in the AI community. Leveraging other providers’ models for training—potentially without permission—distorts fair competition and undermines trust in the ecosystem.

    Fair and LLM is an oxymoron. But also US wouldn’t know fair if it bit them in the ass. There companies are literally begging US government to block or limit high-end hardware to being sent to even their allied countries… That’s sounds “fair”, right?

    While innovation in AI tools is undeniably exciting, we’ve seen time and again how unverified claims can lead to speculative bubbles.

    Yes, the whole “AI” is a speculative bubble. You just want to be able to milk it yourself before it bursts. And DeepSeek news made all that free cash to dry up.


    Please stop making me defend LLMs from these paid hit pieces.





  • The article I posted doesn’t represent my personal view. My view I expressed in the comment above, which is that there not enough facts to make a determination before official report comes out. Media speculation =/ facts.

    I know that waiting for an official report and not speculating is a foreign concept to anyone outside of aviation world, but not basing safety decisions on speculations but instead thorough investigating is why air travel is the safest travel mode.