„Adobe abandons $20 billion acquisition of Figma“

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„“Following mounting pressure from regulators in the UK and EU, Adobe and Figma announced on Monday that both companies are mutually terminating their merger agreement, which would have seen Adobe acquire the Figma product design platform for $20 billion.“

Da freuen sich sicher viele Designer:innen. Ich hatte damals nach der Ankündigung mit kosmar im neunetzcast darüber gesprochen: https://neunetz.fm/neunetzcast-92-warum-kauft-adobe-figma-ueber-multiplayerapps-saas-netzwerkeffekte-in-software-und-pfadabhaengigkeiten/

-> Adobe abandons $20 billion acquisition of Figma

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„I have observed that not the man who hopes when others despair, but the man who despairs when others hope, is admired by a large class of persons as a sage“
– John Stuart Mill in seiner Autobiographie, 1873

Eine der fundamentalen negativen sozialen Dynamiken, die von Social Media massiv verstärkt werden können.

Der Satz geht weiter mit:

„and wisdom is supposed to consist not in seeing further than other people, but in not seeing so far.“

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So kommt ActivityPub zu Threads:

„Threads fediverse support is going to be rolling out in stages over the next year. First read-only, then with likes and shares, then replies, then two-way follow.“

mastodon.social/@evan@cosocial.ca/111567567883238025

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LM Studio – Discover, download, and run local LLMs:

With LM Studio, you can …

🤖 – Run LLMs on your laptop, entirely offline👾 – Use models through the in-app Chat UI or an OpenAI compatible local server📂 – Download any compatible model files from HuggingFace 🤗 repositories🔭 – Discover new & noteworthy LLMs in the app’s home page

LM Studio supports any ggml Llama, MPT, and StarCoder model on Hugging Face (Llama 2, Orca, Vicuna, Nous Hermes, WizardCoder, MPT, etc.)

Minimum requirements: M1/M2/M3 Mac, or a Windows PC with a processor that supports AVX2. Linux is available in beta.

Made possible thanks to the llama.cpp project.

Open-Source-LLMs lokal laufen lassen auf Mac, Win und Linux (Beta).

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Tipp: Wer das gerade vom Pariser Startup Mistral AI veröffentliche Open-Source-LLM Mixtral-8x7b testen will, kann das mit wenig Aufwand in den Perplexity Labs machen. Dort gibt es auch Llama-Modelle und aus Llama entstandene Modelle zum kostenfreien Testen. labs.perplexity.ai/

Mixtral-8x7b erreicht GPT-3.5-Qualität.

Echte Nerds installieren sich Mixtral und co. natürlich lokal, bevor der uns das wieder wegnimmt. 😉

Apropros und : Es gibt in der EU gerade zwei wichtige Startups im genAI-Feld: Aleph Alpha aus Deutschland und Mistral aus Frankreich. Von den beiden ist Mistral gerade um Dimensionen spannender.

„Google Caves In Canada: Agrees To Pay $100m News Bribe To Avoid Direct Link Tax“

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„while the deal isn’t a complete victory for the Canadian government, it’s still a loss to the open internet. As with Australia’s News Bargaining Code (and a similar deal by Google and Meta there), it only serves to inspire other countries to pass similar “bribe us too!” laws.“

-> Google Caves In Canada: Agrees To Pay $100m News Bribe To Avoid Direct Link Tax

„If Creators Suing AI Companies Over Copyright Win, It Will Further Entrench Big Tech“

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„However, because so many people think that they’re supporting creators and “sticking it” to Big Tech in supporting these copyright lawsuits over AI, I thought it might be useful to play out how this would work in practice. And, spoiler alert, the end result would be a disaster for creators, and a huge benefit to big tech.“

-> If Creators Suing AI Companies Over Copyright Win, It Will Further Entrench Big Tech