Lack of communication from the team: For example, OpenAI announced that Sora is included with ChatGPT Plus/Pro – it wasn’t for us. And nobody from the team could immediately clarify that. That’s frustrating. We had to buy an additional subscription.

A lot of demand created by their professional “12 days of Shipmas” hype-making. To the point that Sam Altman had to say, “Signups will be disabled on and off, and generations will be slow for a while.”

And, if you are in Europe or the UK – you simply can’t get access to Sora.

Rene Haas highlighted Intel's struggle between vertical integration and a fabless model, citing high costs and innovation challenges. He mentioned attempting to encourage Intel to license Arm technology and acknowledged the strategic benefits of vertical integration amid rumors of Arm's interest in acquiring parts of Intel. 

Meanwhile, Ben Thompson argues that Intel’s decline stems from its inability to adapt to mobile and efficiency-first computing, allowing ARM and TSMC to dominate. He highlights missed opportunities, such as Intel’s refusal to embrace ARM manufacturing or prioritize power efficiency. While Pat Gelsinger’s foundry plan aimed to address these issues, it was too late to reverse Intel’s losses in AI and profitability. Thompson suggests that Intel’s revival hinges on government-backed AI initiatives, positioning it as a vital domestic foundry for U.S. technological sovereignty.

Semianalysis attributes Intel's decline to decades of leadership failures, poor board decisions, and a loss of cultural and technical leadership. Firing CEO Pat Gelsinger and prioritizing financial engineering over innovation worsened the situation. Intel's delays in advanced nodes allowed competitors like TSMC and AMD to dominate. ARM-based architectures and hyperscaler custom chips further erode its market. Intel Foundry Services is seen as its last chance for relevance, requiring massive investment and government support to secure U.S. semiconductor independence. The article advocates divesting non-core businesses and focusing on revitalizing the foundry as Intel's lifeline.

OpenAI o1 System Card →read it here

From 01.ai – Yi-Lightning Technical Report →read it here

This technical report introduces O1-CODER, an attempt to replicate OpenAI’s o1 model with a focus on coding tasks →read the paper

Also, this:

Efficient Track Anything and Segment Anything Model 2 (SAM 2) also from Meta AI develops EfficientTAM for real-time video object tracking on resource-constrained devices with high accuracy and efficiency →read the paper

Amazon Nova Foundation Models for understanding and creative tasks, focusing on scalability, safety, multilingual support, and cost-efficiency →read the paper

PaliGemma 2 from Google DeepMind advances transfer learning with Vision-Language Models optimized for tasks like OCR, molecular structure recognition, and music score transcription →read the paper.

NVILA by Nvidia reduces training and inference costs while maintaining high accuracy for tasks like medical imaging and robotic navigation →read the paper

Google got wow reaction from both Elon Musk and Sam Altman

Hugging Face: Visualizing with style

Microsoft is seeing the big picture

Microsoft's new Copilot Vision brings real-time insights to Edge browser for Pro users. Aimed at enterprise decision-makers, it turns data into actionable visuals with the click of a button. Microsoft continues weaving AI deeper into everyday workflows.

OpenAI levels up with ChatGPT Pro and Reinforcement Fine-Tuning Research Program
OpenAI introduces ChatGPT Pro, offering unlimited access to all models for $200/month, including the powerful GPT-4 turbocharged “o1” and expanded their RFT Program to enable developers and ML engineers to create expert models fine-tuned to excel at specific sets of complex, domain-specific tasks.

AWS Reinvents AI again
AWS drops the mic with cutting-edge AI updates at re:Invent 2024. Highlights include Multi-Agent Orchestration on Bedrock, the Nova AI Model Family, and Prompt Caching for big savings. Enterprises like Moody's are already reaping the benefits of AI-first workflows.

Salesforce measures AI’s pulse
Salesforce's Agentforce platform is delivering on its promise with soaring adoption KPIs. Enterprise AI agents are automating workflows, driving real ROI, and making humans feel slightly less indispensable.

Canada gets cooler with AI
Cohere and CoreWeave are teaming up to build a cutting-edge data center in Canada. The collaboration promises to accelerate AI research while keeping the great white north on the innovation map.

Discriminative Fine-tuning of LVLMs
Improve LVLMs by fine-tuning with contrastive and autoregressive losses, enhancing image-text discrimination and efficiency. Read the paper

Florence-VL
Enhance multimodal understanding using a generative vision encoder with depth-breadth fusion, excelling in OCR and visual tasks. Read the paper

VLsI
Optimize smaller vision-language models using verbalized intermediate layers for efficiency and improved task performance. Read the paper

FineWeb2
Hugging Face democratizes AI research with FineWeb2, a high-quality 15T token dataset for diverse pretraining needs. Read the paper

The Well
Support physics-informed machine learning with diverse, high-resolution numerical simulations across domains. Read the paper

Weighted-Reward Preference Optimization
Fuse capabilities of heterogeneous LLMs efficiently without requiring aligned vocabularies. Read the paper

TinyFusion
Reduce diffusion transformer size and costs with adaptive pruning and distillation methods. Read the paper

Aim
Optimize multi-modal inference by pruning and merging redundant tokens for efficiency. Read the paper

Monet
Enable scalable and interpretable sparse mixture-of-expert models, specializing in language and domain knowledge. Read the paper

Marco-LLM
Boost multilingual performance, particularly for low-resource languages, using diverse, large-scale training. Read the paper

Establishing Task Scaling Laws
Predict task-specific LLM performance efficiently using compute-reduced "ladder models." Read the paper

Exploring Proportional Analogies
Assess LLM reasoning on analogies with targeted knowledge-enhanced prompting for improved accuracy. Read the paper

MALT
Improve LLM reasoning by assigning collaborative roles in multi-agent setups for better task outcomes. Read the paper

Free Process Rewards Without Process Labels
Train process reward models efficiently using outcome labels instead of intermediate annotations. Read the paper

OCR Hinders RAG
Analyze OCR-induced noise in retrieval-augmented generation and improve robustness using combined data inputs. Read the paper