We should talk @matthewclifford
. It is incorrect to think the UK and Europe are fine or that they could catch up within a year. It costs $1B to $5B just in chips to be frontier. The idea that we can build small models, like Llama, and expect to compete with 2B ones trained on
MARKET TRENDS
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UK and Europe cannot compete due to massive chip costs
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Tokenmaxxing gives way to tokenminimizing; Q3 weaker for Anthropic and OpenAI
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Tokenmaxxing has given way to tokenminimizing Q3 won’t be as strong for Anthropic and OpenAI as Q2 was
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Skeptical questions about frontier AI model availability and plans
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You sure you’ll get that frontier level model? You sure the $200 plans will exist? You sure those plans will exist with the same limits? You sure they won’t be export controlled? …
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Assess Local AI demand and supply chain to decide buying now
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Ask yourself this: Do you think the demand for Local AI will go up or down and if the supply chain will adjust relatively as much? Based on that make your decision on whether to buy now or not
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Uncertainty in Rebuilding Companies with AI Agents
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We don’t honestly know the best approaches to rebuilding companies around AI agents, especially in ways that expand competitive advantage & augment existing human capabilities. Practical agents are merely months old. Experimentation (and productive failures) will be required.
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Developers use Chinese models for cheapest prices
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I know many companies and developers who are already using Chinese models, even in the United States. Developers tend to go where the cheapest prices are; this is typical behavior. Saying no one will use them is wrong. Maybe the U.S. military won't use them, but a lot of others
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Owning software for X often means owning an AI for X
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If your company owns "software for X", there is a strong chance it also owns "AI for X", because it has the business expertise and human capital necessary to turn AI into domain-specific value.
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Loop engineering is real; private evals become your moat
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Loop engineering is REAL. It’s not about picking the best model. It’s the loop you build on top that compounds. Private Evals are about to be HUGE. Score models on your outcomes and your traces, not a public leaderboard. Your EVALS are your moat.
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Perplexity Digest to Likely Use Deep Research
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The next Perplexity Digest feature will likely be powered by Deep Research. Users will be able to schedule and customize periodic updates from a wide range of connected sources, which will also be sent via email.
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Ensemble DL Model for Accurate Tomato Leaf Disease Classification
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Deep Learning Based Ensemble Model for Accurate Tomato Leaf Disease Classification by Leveraging ResNet50! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding