Browsing: LLMs

Technology

Alibaba Cloud details a GPU pooling system that it says reduced the number of Nvidia H20s required when processing dozens of LLMs with up to 72 B parameters by 82% (Vincent Chow/South China Morning Post)

By Stacey D. WallsOctober 20, 2025

Vincent Chow / South China Morning Post: Alibaba Cloud details a GPU pooling system that it says reduces the number…

Technology

Samsung researcher demonstrates the Tiny Recursion Model, a 7 million parameter model capable of outperforming 10,000 times larger LLMs like o3-mini on specific problems (Carl Franzen/VentureBeat)

By Stacey D. WallsOctober 9, 2025

Featured Podcasts Big Tech Podcast: Anthropic Product Manager: Why AI Model Development is Accelerating – With Mike Krieger The Big…

Technology

A new reference of artificial analysis, by focusing on the GPT-OS-20B of Openai, shows how open weight llms have incoherent performance between hosting suppliers (Simon Willison / Blog by Simon Willison)

By Stacey D. WallsAugust 16, 2025

Simon Willison / Simon Willison’s blog:: A new reference of artificial analysis, focusing on the GPT-OS-20B of Openai, shows how…

Technology

The disappointing performance of GPT-5 on references suggest that the current approach to LLMS scaling is starting to reach the limits of available resources (financial times)

By Stacey D. WallsAugust 16, 2025

Featured podcasts Big Technology Podcast: Can the web survive a generative AI? – With Matthew Prince The Big Technology Podcast…

Technology

Foundation Egi, an "General Intelligence Engineering" The startup that builds personalized LLMS for engineering tasks, has collected a series A of $ 23 million by Translink Capital (Duncan Riley / Siliconangle)

By Stacey D. WallsJuly 10, 2025

Duncan Riley / Silicion:: Foundation Egi, an “Engineering General Intelligence” startup that builds personalized LLMS for engineering tasks, has raised…

Technology

A look at the lack of consensus in the technology industry on what is acting, if the LLMs are the best way to it, and what act could look like if or when it happens (Melissa Heikkilä / Financial Times)

By Stacey D. WallsJune 19, 2025

Melissa Heikkilä / Financial time:: A look at the lack of consensus in the technology industry on what is acting,…

Technology

In an Oxford study, the LLMS has correctly identified the medical conditions 94.9% of the time when the test scenarios were directly carried out, against 34.5% when they are caused by human subjects (Nick Mokey / Venturebeat)

By Stacey D. WallsJune 14, 2025

Nick Mokey / Venture:: In an Oxford study, the LLMS has correctly identified medical conditions 94.9% of the moment when…

Technology

Apple researchers detail the limits of higher LLMs and large models of reasoning, such as O3, in particular on the problems of medium to high complexity (Gary Marcus / Marcus on AI)

By Stacey D. WallsJune 9, 2025

Featured podcasts Podcast by Lenny: How Mercado Libre built the most precious company in Latin America: 18K Engineers, 30K deploys…

Technology

A study reveals that asking the LLMS to be concise in their responses, in particular on ambiguous subjects, can negatively affect billing and worsen hallucinations (Kyle Wiggers / Techcrunch)

By Stacey D. WallsMay 10, 2025

Kyle Wiggers / Techcrunch:: A study reveals that LLMS demand is concise in their responses, in particular on ambiguous subjects,…

Technology

Deepseek, Openai and others create smaller and powerful models quickly and at a lower cost using "distillation" raises questions about the first LLMS engine advantage (Financial Times)

By Stacey D. WallsMarch 2, 2025

Financial time:: Deepseek, Openai and others create smaller and powerful models quickly and at a lower cost using “distillation” raise…

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At least two China-based funds that back leading AI companies have used parallel fund structures to raise money from U.S. investors in recent months (Bloomberg)

U.S. states levied $3.45 billion in privacy-related fines on businesses in 2025, a higher total than the last five years combined, due to new privacy laws (Derek B. Johnson/CyberScoop)

Q&A with Evan Spiegel on why distribution is the biggest gap in consumer tech, investing in Specs, 2026 as a “crucible” moment for Snap, and more (Lenny Rachitsky/Lenny’s Newsletter)

Amazon announces plans to expand its fast commerce service Amazon Now to 100 Indian cities; the service is currently available in Delhi, Mumbai and Bengaluru (The Economic Times)

Some jurors selected in the Musk v. Altman trial expressed negative feelings toward Elon Musk and AI, but assured the court they would put those concerns aside (Wired)

Browsing: LLMs

Alibaba Cloud details a GPU pooling system that it says reduced the number of Nvidia H20s required when processing dozens of LLMs with up to 72 B parameters by 82% (Vincent Chow/South China Morning Post)

Samsung researcher demonstrates the Tiny Recursion Model, a 7 million parameter model capable of outperforming 10,000 times larger LLMs like o3-mini on specific problems (Carl Franzen/VentureBeat)

A new reference of artificial analysis, by focusing on the GPT-OS-20B of Openai, shows how open weight llms have incoherent performance between hosting suppliers (Simon Willison / Blog by Simon Willison)

The disappointing performance of GPT-5 on references suggest that the current approach to LLMS scaling is starting to reach the limits of available resources (financial times)

Foundation Egi, an "General Intelligence Engineering" The startup that builds personalized LLMS for engineering tasks, has collected a series A of $ 23 million by Translink Capital (Duncan Riley / Siliconangle)

A look at the lack of consensus in the technology industry on what is acting, if the LLMs are the best way to it, and what act could look like if or when it happens (Melissa Heikkilä / Financial Times)

In an Oxford study, the LLMS has correctly identified the medical conditions 94.9% of the time when the test scenarios were directly carried out, against 34.5% when they are caused by human subjects (Nick Mokey / Venturebeat)

Apple researchers detail the limits of higher LLMs and large models of reasoning, such as O3, in particular on the problems of medium to high complexity (Gary Marcus / Marcus on AI)

A study reveals that asking the LLMS to be concise in their responses, in particular on ambiguous subjects, can negatively affect billing and worsen hallucinations (Kyle Wiggers / Techcrunch)

Deepseek, Openai and others create smaller and powerful models quickly and at a lower cost using "distillation" raises questions about the first LLMS engine advantage (Financial Times)