The $250 Million Paper - ByteByteGo Newsletter
Engineering teams at Coinbase, MSCI, and Zscaler have at least one thing in common: they use Resolve AI’s AI SRE to make MTTR 5x faster and increase dev productivity by up to 75%. When it comes to production issues, the numbers hurt: 54% of significant outages exceed $100,000 lost. Downtime cost the Global 2000 ~$400 billion annually. It’s why eng teams leverage our AI SRE to correlate code, infrastructure, and telemetry, and provide real-time root cause analysis, prescriptive remediation, and continuous learning. Time to try an AI SRE? This guide covers: The ROI of an AI SRE Whether you should build or buy How to assess AI SRE solutions Get the free guide Recently, a twenty four year old researcher named Matt Deitke received a two hundred and fifty million dollar offer from Meta’s Superintelligence Lab. While the exact details behind this offer are not public, many people believe his work on multimodal models, especially the paper called Molmo, played a major role. Molmo stands out be
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