Once high-flying proptech startups Divvy Homes and EasyKnock are the latest to struggle

Many proptech startups, born and funded during the low-interest-rate heydays, are in the throes of struggle. With investments into U.S.-based real estate startups falling from $11.1 billion in 2021 to $3.7 billion last year, according to PitchBook data, some are selling themselves off, while others are closing shop. The two most recent examples are the […]

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Summary

The article discusses the challenges faced by proptech startups, such as Divvy Homes and EasyKnock, amid a decline in investments in U.S.-based real estate startups. Many proptech companies are struggling, with some selling themselves off or closing down due to the changing market conditions.

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Salesforce AI Research Proposes PerfCodeGen: A Training-Free Framework that Enhances the Performance of LLM-Generated Code with Execution Feedback

Large Language Models (LLMs) have become essential tools in software development, offering capabilities such as generating code snippets, automating unit tests, and debugging. However, these models often fall short in producing code that is not only functionally correct but also efficient in runtime. Overlooking runtime efficiency can lead to software that performs poorly, increases operational […]

The post Salesforce AI Research Proposes PerfCodeGen: A Training-Free Framework that Enhances the Performance of LLM-Generated Code with Execution Feedback appeared first on MarkTechPost.

Summary

The article discusses Salesforce AI Research’s proposal of PerfCodeGen, a training-free framework aimed at improving the performance of code generated by Large Language Models (LLMs) by incorporating execution feedback. LLMs are valuable tools in software development for tasks like code snippet generation, unit test automation, and debugging. However, they often struggle to produce code that is both functionally correct and efficient in terms of runtime. Neglecting runtime efficiency can result in software that performs poorly and increases operational challenges. PerfCodeGen aims to address this issue by enhancing the performance of LLM-generated code through the utilization of execution feedback.

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Donald Trump appears to have launched a meme coin

Donald Trump has launched a new meme coin, according to posts from his X and Truth Social accounts last night. The posts, which have come just days before Trump’s inauguration, were initially met with suspicion by many that his accounts had been hacked.

Skeptics highlighted by Decrypt last night pointed to several red flags, such as that the millions of dollars seeding the project came from Binance and Gate, which only serve overseas customers. The coin’s website credits the project to the same group behind Trump’s NFTs, as noted by Cointelegraph, which reports that sources close to Trump’s family confirmed the announcements’ legitimacy.

Both posts remain up as of this morning.

Screenshot: X

The idea that Trump would debut a meme coin is no big surprise, given his multiple NFT collections and his introduction of a crypto platform last year. He has made cryptocurrency a big part of his new agenda and has assembled a crypto and AI-focused tech policy team led by “crypto czar” David Sacks. Trump also plans to issue an executive order naming crypto a “national imperative or priority” after he’s inaugurated next week, Bloomberg reported ahead of the weekend.

Summary

Donald Trump appears to have launched a new meme coin, as announced on his X and Truth Social accounts. Initially met with suspicion, the legitimacy of the announcement was confirmed by sources close to Trump’s family. The project is linked to the same group behind Trump’s NFTs. Trump’s interest in cryptocurrency is not surprising given his previous involvement with NFT collections and a crypto platform. He has assembled a tech policy team focused on crypto and AI, and plans to issue an executive order regarding cryptocurrency after his inauguration.

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AI startup Character AI tests games on the web

Character AI, a startup that lets users chat with different AI-powered characters, is now testing games on its desktop and mobile web apps to increase engagement on its platform. The games are available to Character AI’s paid subscribers and a limited set of users on the free plan. For this initial release, the company developed […]

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Summary

Character AI, a startup offering AI-powered characters for chat, is expanding its platform by testing games on its desktop and mobile web apps. The games are currently available to paid subscribers and a select group of free plan users. This move aims to boost engagement on the platform.

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Castlevania: Nocturne’s second season is another soft-spoken knockout

Castlevania: Nocturne season 2 gets philosophical about what it means to be a monster who loves.

Read the full story at The Verge.

Summary

The article discusses the second season of Castlevania: Nocturne, describing it as a subtle success. It delves into the theme of love and what it means to be a monster. The season is praised for its philosophical depth. For more details, the full story can be found on The Verge website.

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NVIDIA AI Introduces Omni-RGPT: A Unified Multimodal Large Language Model for Seamless Region-level Understanding in Images and Videos

Multimodal large language models (MLLMs) bridge vision and language, enabling effective interpretation of visual content. However, achieving precise and scalable region-level comprehension for static images and dynamic videos remains challenging. Temporal inconsistencies, scaling inefficiencies, and limited video comprehension hinder progress, particularly in maintaining consistent object and region representations across video frames. Temporal drift, caused by […]

The post NVIDIA AI Introduces Omni-RGPT: A Unified Multimodal Large Language Model for Seamless Region-level Understanding in Images and Videos appeared first on MarkTechPost.

Summary

The article discusses NVIDIA’s introduction of Omni-RGPT, a unified multimodal large language model aimed at enhancing region-level understanding in images and videos. Multimodal large language models play a crucial role in interpreting visual content by bridging vision and language. However, challenges persist in achieving precise and scalable region-level comprehension for both static images and dynamic videos. Issues such as temporal inconsistencies, scaling inefficiencies, and limited video comprehension have hindered progress in maintaining consistent object and region representations across video frames. NVIDIA’s Omni-RGPT aims to address these challenges and improve the overall understanding of visual content in images and videos.

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