Shutting down embedding models like this is a huge pain for people who have spent time and money running large amounts of text through them and and storing the vectors – that investment essentially becomes useless if you can no longer calculate fresh vectors to compare
DATA
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Oracle AI agent lets Gemini users query enterprise data in natural language
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ICYMI: @Oracle
's new AI agent enables Google Gemini users to query their most important enterprise data in natural language, without moving or copying data. Seamless, secure, and awesome. -
Shopify’s AI-Native Engineering: 100% Adoption and SimGym
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🆕 Shopify's AI-Native Engineering: 100% adoption, unlimited tokens, Tangle, Tangent, & SimGymhttps://t.co/5MOZRGrSbO@Shopify CTO @MParakhin explains why near-universal AI adoption is changing how Shopify builds, how SimGym uses Shopify’s scale and historical data to simulate… pic.twitter.com/XLKKVbJ5QX
— Latent.Space (@latentspacepod) 22 avril 2026Shopify's AI-Native Engineering: 100% adoption, unlimited tokens, Tangle, Tangent, & SimGym https://
latent.space/p/shopify @Shopify CTO @MParakhin explains why near-universal AI adoption is changing how Shopify builds, how SimGym uses Shopify’s scale and historical data to simulate -

Prescriptive Analytics Beats Predictive Maintenance for Industrial Solutions
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Predictive maintenance is good, but prescriptive analytics is better. Sundeep Ahluwalia, CPO at TDK SensEI, notes that telling a team a machine might fail is only half the battle. Using historical data to tell them exactly how to fix it is the win. Sponsored by TDK. #tdk_iiot pic.twitter.com/rAPLSUN8Cs
— Lucian Fogoros (@fogoros) 22 avril 2026Predictive maintenance is good, but prescriptive analytics is better. Sundeep Ahluwalia, CPO at TDK SensEI, notes that telling a team a machine might fail is only half the battle. Using historical data to tell them exactly how to fix it is the win. Sponsored by TDK. #tdk_iiot
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Maintaining Data Consistency Across Device Lifecycles
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When the same function produces different data sets based on device age, how do you maintain consistency across decades?
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AI Adds Y Axes to Misleading Graphs
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AI can now add the Y axes to every misleading graph out there.
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Edge Systems Navigate Firmware Diversity in IoT Hardware
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Battery edge systems need context for old and new firmware. Same function on 10-year-old hardware vs brand new device produces different data sets. The edge processes fast locally while summarizing for cloud. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/XH4zrm3aus
— Lucian Fogoros (@fogoros) 22 avril 2026Battery edge systems need context for old and new firmware. Same function on 10-year-old hardware vs brand new device produces different data sets. The edge processes fast locally while summarizing for cloud. Partner content with @IOTechSystems
. #iotechsys_iiot -

MathNet: World’s Largest Olympiad Math Problem Dataset
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“MathNet” MIT, KAUST & HUMAIN have built the world's largest collection of Olympiad-level math problems. The dataset can help students prepare for competitions & revealed how AI models can improve at math problems, esp. ones w/visual reasoning: https://
bit.ly/4vBr2kl -
OpenAI Releases Privacy-Filter for PII Detection and Masking
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OpenAI just released privacy-filter on Hugging Face a bidirectional token-classification model for personally identifiable information (PII) detection and masking in text model:
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Claude Code, Codex, Cursor: Comparing AI Model Sizes
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Currently: – Claude Code is 4x bigger than Codex
– Codex is 2x bigger than Cursor
– Antigravity is almost as big as Cursor (but probably just because all Googlers use it? ) We'll add tagging for other agents asap. (Source: one data point from the @huggingface Hub team. Your