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There’s more to generative AI than picks and shovels

VC Cafe

Consider what followed since November: New foundational models, more efficient ways of training models etc An explosion of open source models, the rise of HuggingFace Breakthrough research across voice, video, text, multi modality, etc Billions of dollars invested in thousands of startups at the application layer of generative AI.

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Startup Resources

www.vccafe.com

VC Cafe highlights everything you need to know from hosting your code in hackathons to open source legal docs. High Quality, and open sourced! Mantis (Open source). Nagios (open source). Panda (Open source). launchpad (bzr only, also only open source projects).

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The LeanLaunch Pad at Stanford – Class 2: Business Model Hypotheses

Steve Blank

We graded them on a scale of 1-5, posted our grades and comments to a shared Google doc, and had our Teaching Assistant aggregate the grades and feedback to pass on to the teams.). Joe Bingold (MBA, Jun 2011) Head of Product Development for Naval Nuclear Propulsion Plant Control Systems, US Navy, MSME (Naval PGS), BSEE (MIT), P.E.

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Lessons Learned: Sharding for startups

Startup Lessons Learned

Using memcacheds multiget, which allows the fetching of many keys in parallel, I have written code to aggregate all the shard lookups for a given page and prefetch them, reducing the overhead even further. The mappings never change (unless you build a data migration tool, in which case they change rarely) and so are easy to cache.

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90 Things I've Learned From Founding 4 Technology Companies

betashop.com

I firmly believe that in this age where the product development life-cycle is so short and user feedback comes so quickly, you will know within a year whether you are focusing on a worthwhile one thing. If it’s done right, feedback and postmortems are regular activities and reviews are just the official aggregation of such feedback.?.

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From Nothing To Something. How To Get There.

techcrunch.com

Tony P great, though meebo’s place as a “successful&# start up is still open to debate – from consumer IM aggregator to white label IM, still not making big $$. Will it kill these SV types to admit building HTML front-ends to open source products? This is the blog post I needed to read.