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#llama4

5 posts3 participants0 posts today
Public
Benjamin Carr, Ph.D. 👨🏻‍💻🧬

#Meta Says #Llama4 Targets Left-Leaning Bias

#Facebook Pushes Its Llama 4 #AI Model to the Right, Wants to Present “Both Sides”
Meta’s Llama 4 model is worried about left leaning bias wants to be more like #ElonMusk’s #Grok.
"All leading #LLM have had issues with bias -- specifically, they historically have leaned left," Meta stated, framing AI bias primarily as a political problem. The company claims Llama 4 is "dramatically more balanced" in handling sensitive topic
404media.co/facebook-pushes-it

404 Media · Facebook Pushes Its Llama 4 AI Model to the Right, Wants to Present “Both Sides”Meta’s Llama 4 model is worried about left leaning bias in the data, and wants to be more like Elon Musk’s Grok.
Replied in thread
Public
Bornach

Meta's Llama 4 (which is being forced on all #WhatsApp users) doesn't do any of chain-of-thought reasoning and incorrectly calculates the number of squares of one colour. Claims that a 7x7 checker board with one corner missing has 23 of one colour so makes tiling impossible but then continues on for several paragraphs about possible tiling approaches.

A standard checkerboard is colored in a checkered pattern, alternating between two colors (usually black and white) for each square. Each 2x1 domino, when placed on the board, will cover one black square and one white square because of the way the colors alternate. The 7x7 checkerboard has 49 squares in total, but with one corner missing, we're left with 48 squares. Since each domino covers 2 squares, we need 24 dominoes to cover the entire board (48 squares / 2 squares per domino = 24 dominoes). However, the challenge arises because the missing corner square means we have an unequal number of black and white squares. Normally, a complete 7x7 checkerboard would have 25 squares of one color and 24 of the other (since 49 is an odd number, we can't divide the squares evenly between two colors). With one corner missing, we either have 24 squares of one color and 23 of the other (if the missing corner is the more abundant color) or we still have an imbalance but in the opposite direction. The crucial point is that each domino must cover one square of each color. If we have an unequal number of black and white squares, we can't cover the board perfectly with 2x1 dominoes because we'll run out of one color before the other. Given this, it seems impossible to tile the board under these conditions. However, this is where the specifics of the problem come into play. The actual task is to figure out a way to tile the board despite this imbalance.
#Llama4#MetaAI#AIhype
Public
Sebastian

Meta veröffentlicht Llama 4 – ein multimodales KI-Modell mit viel Potenzial, aber noch spürbaren Schwächen im Vergleich zur Konkurrenz. Gut gedacht, aber im Moment nicht gut genug für das internationale Rennen.

#Meta #KI #Llama4

t3n.de/news/llama-4-ist-da-wie

t3n Magazin · Llama 4 ist da: Wie gut schlägt sich das KI-Modell im Vergleich zur Konkurrenz? - t3n – digital pioneersMeta bringt Llama 4 auf den Markt – ein multimodales KI-Modell, das Texte, Bilder und Videos verarbeiten kann. Im direkten Vergleich bleibt die Leistung aber deutlich hinter den Erwartungen zurück. Meta hat eine neue Version seines KI-Sprachmodells Llama veröffentlicht. Wie Golem berichtet, handelt es sich dabei um ein multimodales KI-System, das verschiedene Arten von Daten […]
Public
Matt "msw" Wilson

"In keeping with our commitment to open source, we’re making Llama 4 Maverick and Llama 4 Scout available to download on llama.com and Hugging Face […]"

This is your regular reminder that *ALL* of the Llama Community License Agreements have terms incompatible with Open Source norms.

#FreeSoftware #OpenSource #FOSS #OSS #AI #Llama4

ai.meta.com/blog/llama-4-multi

Meta AIThe Llama 4 herd: The beginning of a new era of natively multimodal AI innovationWe’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context support and our first built using a mixture-of-experts (MoE) architecture.
Public
TheDoctor

Meta stellt Llama 4 vor: Die neue Open-Source-KI kommt in drei Varianten – Scout (109B), Maverick (400B) & dem kommenden Behemoth. Mit MoE-Training effizient & stark in Benchmarks, aber noch mit Lücken bei Features wie Bild-Upload oder smartere Chatbots. #KI #Llama4 #Meta

Public
Global Threads

🤖 AI
🔴 Meta Launches Llama 4 Models as Open Source

🔸 Scout & Maverick models are multimodal & handle text, image, video, audio.
🔸 Llama 4 Behemoth teased—Meta’s “smartest, most powerful” AI to date.
🔸 Delays occurred due to poor math/reasoning benchmarks vs OpenAI.
🔸 Meta to spend up to $65B this year to scale AI infrastructure.

#Meta#AI#Llama4
Public
Harald Klinke

NEWS: Meta has unveiled Llama 4, its latest AI model, featuring advanced multimodal capabilities that integrate text, video, images, and audio processing. This release includes Llama 4 Scout and Llama 4 Maverick, both open-source and designed to enhance Meta’s AI assistant across platforms like WhatsApp, Messenger, and Instagram. Is this a new benchmark in AI versatility?

ai.meta.com/blog/llama-4-multi

Meta AIThe Llama 4 herd: The beginning of a new era of natively multimodal AI innovationWe’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context support and our first built using a mixture-of-experts (MoE) architecture.
Public
Harald Klinke

NEWS: Meta has unveiled two new AI models, Llama 4 Scout and Llama 4 Maverick, now integrated into WhatsApp, Messenger, and Instagram Direct. These models reportedly outperform counterparts from OpenAI and Google across various benchmarks. Is Meta setting a new standard in AI-driven communication?

theverge.com/news/644171/llama

Image of the Meta logo and wordmark on a red background bordered by blue scribbles made out of the Meta logo.
The Verge · Meta releases two Llama 4 AI modelsBy Wes Davis
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