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Employee got put on a TIP (Token Improvement Plan)

Turning AI promise into real outcomes–that’s the focus of @Snowflake Summit. Excited to have @DanielaAmodei of @AnthropicAI + leaders from @Accenture, @sanofi, @thomsonreuters, and @UnderArmour share how they’re making AI work in production. Hope to see you there! bit.ly/3OiKhOX

AI systems are moving from answering questions to taking action. The challenge is making that work in practice across fragmented data, enterprise systems, and AI models. Today, @Snowflake announced updates to Snowflake Intelligence and Cortex Code to support how these systems are built and run in practice. Snowflake Intelligence is evolving into a personal work agent for business users that can reason over governed data and take action across systems. Cortex Code expands the builder layer, enabling teams to develop, orchestrate, and operationalize AI across the enterprise data ecosystem. Together, they create a centralized approach for both business and technical users to govern, connect, and orchestrate their data, models, and enterprise apps — cementing Snowflake as the control plane for enterprise AI.

AI that works for every user – on every data source. Big updates to @Snowflake Intelligence + Cortex Code today — Skills, mobile app, deeper enterprise connections, and builder tools that meet you where you work. 👉 bit.ly/4tYFf98

Token consumption is the new vanity metric. CEOs & Internet clowns are boasting “salary spend is equal to token consumption” But, tokens are merely an input (much like human labor) to business logic, task execution & decision-making. Saying you burned 1M tokens last week is a bit like a McKinsey partner bragging that he kept his back office awake for 2 nights straight to produce a mediocre client presentation which didn’t convert into a new project! I measure our agentic transformation progress using a simple set of Qs:

I don’t understand why the motivation seems to be hosting before attempting to hit 25 medals in the next two Olympics. We need more investment into athletes to get medals rather than a huge investment in hosting.

A few examples of π0.7 in action Turn the shirt right-side out and fold it:

CoCo is quickly becoming a force multiplier for our customers and partners alike. They're not just experimenting. They’re transforming how work gets done. The speed, the productivity gains, the shift in how teams build—it’s real, and it’s happening now. Don't take my word for it: — Trent Foley of @letsevolv: Cortex Code has become the core infrastructure for how we scale and drive adoption. A single integration session executed 2,500 automated actions... that's 5-8x productivity. Weeks of manual development happening in hours. — Leading Automotive Dealership Group: We’ve been digging away with shovels for years, and now Snowflake just showed up with excavators. It’s easily the most practical and well-developed AI tool we’ve seen. — Vibhor Gupta of @Shelter_Ins: Cortex Code reduces friction in everyday data and AI development while maintaining the oversight we need in a regulated environment.

Guys look Claude helped me - a random guy in his basement - build a wetlab and do vibe genomics! I sequenced my whole genome despite zero lab experience, without my DNA leaving home! I put together my notes and a step by step guide here: vibe-genomics.replit.app It was a lot easier than I was expecting! Ultimately I hit ~16x coverage and compared my results against my 600k raw 23andme SNPs, and it held up!

OVERRATED: running tons of agents in parallel; working on too many things at once; perpetual context-switching; opening lots of low-quality PRs that may never land. UNDERRATED: using one or two agents at a time; focusing on the task in front of you; thinking deeply; finishing stuff; making your code works in prod.

Human biological limits, like our tiny working memory and shallow calculation depth, are actually a feature. They force us to abstract, compress, intuit. If we had infinite resources, we would never have needed intelligence.

These three IIT Madras scientists are insane. Their startup Sthyr Energy is literally turning electricity into metal. Which you can keep for months and turn it back into electricity when you need it. And this is incredibly huge. Let's break this down. Right now, India alone generates enough renewable energy to power countries like France. But we can either use it as soon as its generated or its lost forever. Because no one has figured out a way to store electricity for more than a few hours at scale. If Sthyr's solution works - we won't just be able to store it for years but we could also transport it on roads - without creating any new infrastructure. And it would change how the world uses electricity forever.

@fchollet @DamiDina This is why vibe coding works as a discovery tool but fails as a final product. The iteration reveals the truth. The problem is people stop iterating too early.

You cannot think your way to a perfect design. Only building and testing, over many iterations, can reveal the flaws in your mental model and provide the feedback you need to create the best design possible.

Dario is wrong. He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic. Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor

There's never been an investment like the investment in railroads. (This graph has a log scale!)

GOOGLE BUILT A SECRET WEAPON FOR FILE DETECTION they ran it internally for years, gmail, drive, safe browsing, hundreds of billions of files every week then they open sourced it it's called magika and it exposes what files really are, not what they pretend to be rename malware to "resume.pdf"? magika sees through it disguise a script as an image? magika sees through it any trick attackers use with file extensions? magika sees through all of it ai trained on 100 million files. 200+ content types. 99% accuracy. 5ms per file one command `pip install magika` the same tool protecting google's billion users is now protecting yours github.com/google/magika

once again i am increasingly convinced that the best rule of thumb remains “don’t trust an LLM to do something you don’t know *exactly* how to do yourself”

Cortex Code is helping @Shelter_Ins accelerate the dev cycle: ❄️ Natural language → faster builds ❄️ Context-rich AI → better outcomes ❄️ Governed by design → ready for scale Less experimentation. More execution. 🚀

THIS IS HISTORICAL STUFF FOLKS! 🇮🇳🥹 Vaishali Rameshbabu just won the FIDE Women's Candidates 2026 & Qualifies as Challenger for Women's World Championships Title! 2nd Indian Women after Humpy Koneru (2011) to Play the Women's World C'ship match!