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2 In 5 Tech Workers Quit Over Inflexible Workspace Policies

3 months 1 week ago
Two in five tech workers quit in the past year due to inflexible workplace policies around hours, location, and workload intensity, with most citing a desire for remote work and greater autonomy. The Register reports: The findings come from a survey of 26,000 plus staff that operate in 35 markets, including 2,548 respondents in tech, and fly in the face of more and more corporations issuing return to office mandates and demanding long working hours. Amsterdam-based recruitment biz Randstad, which commissioned the research, says 40 percent of the tech people it polled said they resigned due to hardline policies, and 56 percent threatened to seek an alternative if their requests for flexibility were ignored. Almost three-quarters claim remote work boosts a "sense of community" with colleagues -- versus the average of 58 percent across other sectors -- and 68 percent say they'd trust their employer more if they were more easy going on hours, the intensity of the work and the place where they can work. Graig Paglieri, Randstad Digital boss, said the "IT sector has shown that personalized work benefits and flexible options are essential not only for attracting top talent but also for retaining them in competitive markets. Policies should align with organizational, team and individual needs, ensuring a flexible and tailored approach."

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Software Engineer Runs Generative AI On 20-Year-Old PowerBook G4

3 months 1 week ago
A software engineer successfully ran Meta's Llama 2 generative AI model on a 20-year-old PowerBook G4, demonstrating how well-optimized code can push the limits of legacy hardware. MacRumors' Joe Rossignol reports: While hardware requirements for large language models (LLMs) are typically high, this particular PowerBook G4 model from 2005 is equipped with a mere 1.5GHz PowerPC G4 processor and 1GB of RAM. Despite this 20-year-old hardware, my brother was able to achieve inference with Meta's LLM model Llama 2 on the laptop. The experiment involved porting the open-source llama2.c project, and then accelerating performance with a PowerPC vector extension called AltiVec. His full blog post offers more technical details about the project.

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Jack Ma-Backed Ant Touts AI Breakthrough Using Chinese Chips

3 months 1 week ago
An anonymous reader quotes a report from Bloomberg: Jack Ma-backed Ant Group used Chinese-made semiconductors to develop techniques for training AI models that would cut costs by 20%, according to people familiar with the matter. Ant used domestic chips, including from affiliate Alibaba and Huawei, to train models using the so-called Mixture of Experts machine learning approach, the people said. It got results similar to those from Nvidia chips like the H800, they said, asking not to be named as the information isn't public. Hangzhou-based Ant is still using Nvidia for AI development but is now relying mostly on alternatives including from Advanced Micro Devices and Chinese chips for its latest models, one of the people said. The models mark Ant's entry into a race between Chinese and US companies that's accelerated since DeepSeek demonstrated how capable models can be trained for far less than the billions invested by OpenAI and Alphabet Inc.'s Google. It underscores how Chinese companies are trying to use local alternatives to the most advanced Nvidia semiconductors. While not the most advanced, the H800 is a relatively powerful processor and currently barred by the US from China. The company published a research paper this month that claimed its models at times outperformed Meta Platforms Inc. in certain benchmarks, which Bloomberg News hasn't independently verified. But if they work as advertised, Ant's platforms could mark another step forward for Chinese artificial intelligence development by slashing the cost of inferencing or supporting AI services.

Read more of this story at Slashdot.

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