AI is all about multiplication, not subtraction (or division). It will create *more* software jobs, not remove them. It's an absolute accelerant for senior developers. The real question is what it does to/for more junior developers:
MACHINE LEARNING
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IIoT and AI Drive Smarter Operational Investment Strategies
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[New booklet] How IIoT and AI Are Driving Smarter Operational Investments Get your free copy! https://
buff.ly/Rf5Vc9Y #sponsored #influxdata_iiot #InfluxDB #IIoT #AI @nerdyiotguy @SpirosMargaris via @fogoros -
OLMoTrace: Tracing Language Model Outputs to Training Tokens
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OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Liu et al.: https://
arxiv.org/abs/2504.07096 #ArtificialIntelligence #DeepLearning #MachineLearning -
OLMoTrace: Tracing Language Model Outputs to Training Tokens
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OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Liu et al.: https://
arxiv.org/abs/2504.07096 #ArtificialIntelligence #DeepLearning #MachineLearning -
Heiga Zen Inducted as 2025 IEEE Fellow for Speech Synthesis
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Congratulations to Heiga Zen, who was inducted as a 2025 IEEE Fellow for his contributions to generative model–based speech synthesis! Learn about Heiga's work at: https://
goo.gle/3XSee9Y -
Excitement to dive into prompts and test Grok 3
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Wow, this is next level! Excited to dive into these prompts and see what Grok 3 can really do.
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Universal Visual Grounding for GUI Agents Navigation
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Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents Gou et al.: https://
arxiv.org/abs/2410.05243 #ArtificialIntelligence #DeepLearning #MachineLearning -
Simple readable code for diffusion model training sampling
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GitHub – yuanchenyang/smalldiffusion: Simple and readable code for training and sampling from diffusion models https://
buff.ly/WDuy3yN
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Models optimizing their own implementations automatically
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Noted! Maybe the models can start optimizing their own implementations
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UC Researchers Achieve Real-Time Brain-to-Speech Synthesis Breakthrough
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Work led by BAIR students @KayloLittlejohn and @CheolJunCho advised by BAIR faculty @GopalaSpeech "…made it possible to synthesize brain signals into speech in close to real-time." https://
dailycal.org/news/campus/re
search-and-ideas/uc-researchers-make-breakthrough-on-brain-to-speech-device/article_a438d4e4-1973-45fd-839c-6cd865906586.html
… via @dailycal