♪∞

fixing myself everyday.

@⚽

[♪∞ @__griff18]

Life is simple.

If you:

- Overthinking, then Write

- Mind is confused, then Meditate

- Feel down, then Exercise

- Grow your mind, then Read

- Understand better, then Teach

- Are Confused, then walk in Nature

- Need improved attitude, then express Gratitude

Ps.

[Farhiya Abass @farhiyaabass]

Big money is in Nairobi this week. If you're a start-up founder with a great venture, don't miss this opportunity.

[aditya @adxtyahq]

X might be spending around $100K-$500K a month on Grok

• 500M MAU, ~250M people active daily
• ~37B post views every day
• even 20-30% needing translation -> billions of requests

raw math goes past 500B tokens/day, but caching + smaller models bring it down a lot

most of the load is just translating what people are scrolling through, not generating tweets

[♪∞ @__griff18]

@elonmusk 𝕏

[♪∞ @__griff18]

https://t.co/ObBh3RRx3m

[Dhanian 🗯️ @e_opore]

Spotify Recommendation Engine Architecture

[♪∞ @__griff18]

Champions League.

[Google Maps Platform @GMapsPlatform]

🗞️📢 Announcing the Preview of Population Dynamics Insights (PDI) — a first-of-its-kind geospatial embeddings dataset designed to help organizations decode the complex relationship between human behavior and the physical world ➡️ https://t.co/n04WI7oNPA

PDI, an Earth AI dataset, enables a fundamental shift in how we understand our world, allowing data teams to move away from static maps and census snapshots to dimensional geospatial models. It eliminates the "data wrangling tax" by delivering analysis-ready embeddings directly into BigQuery.

PDI embeddings distill millions of aggregated signals including Google search trends, Google Maps popular times, points of interest and environmental conditions into concise vectors, providing a standardized, high-res grid that captures hyper-local nuances for global-scale analysis.

Key applications include:
→ Similarity modeling for optimized site selection to mirror your most successful locations
→ Cold-start geographic analysis to retain predictive power in new territories
→ Contextual interpolation to predict missing values from unsampled areas
→ Unlock super-resolution to zoom in for precise geotargeting
→ Precision forecasting with time-series models to forecast demand and market shifts

🌐 PDI, now available in 17 countries, provides measurable accuracy improvements across downstream ML tasks in diverse sectors. Learn more and sign up for access at the link above.

[♪∞ @__griff18]

https://t.co/pwE6bwBH3q

[Sam Mathverse @Sam_Axiom]

Solution of a Inverse Laplace Transform Problem ✅👇

@Sam_Axiom

[Google Workspace @GoogleWorkspace]

Create full, editable slide decks in one shot 🪄

Using context from Workspace Intelligence, Gemini in Google Slides will stick to your company’s templates and visual styles so you’re ready to present in moments. 🎤

Check out the news from #GoogleCloudNext → https://t.co/Zu3pu4UuDs

[Google Cloud @googlecloud]

Introducing Gemini Enterprise Agent Platform—our new platform to build, scale, govern, and optimize agents.

[Google @Google]

We’re introducing our eighth generation of TPUs. This time, we’re taking a dual chip approach: TPU 8t, optimized for training, and TPU 8i, optimized for inference.

💪TPU 8t achieves nearly three times the compute performance per pod over our previous generation, Ironwood.
⚡TPU 8i connects 1,152 TPUs in a single pod to deliver the massive throughput and low latency needed to concurrently run millions of agents cost-effectively.

These new TPUs are a crucial part of our fully integrated AI stack — from the chips all the way up to the models, developer tools, agents and applications. By designing the hardware and software in tandem, we’re able to deliver scale and efficiency. #GoogleCloudNext

[Job Corner @JOBCORNER247]

FREE Data Science Courses w/ Certificates

❯ Python
https://t.co/CzWeh5JGJj

❯ SQL
https://t.co/01NIxxuTu0

❯ Data Analysis
https://t.co/j1jTuamHMG

❯ PowerBI
https://t.co/WgumYujwwH

❯ Excel
https://t.co/BN5V2D4XsS

❯ Tableau
https://t.co/7zwlL2irgK

❯ R
https://t.co/BkkbplyFdc

❯ Data Cleaning
https://t.co/sH1pk8lEt9

❯ Data Cleaning
https://t.co/sH1pk8lEt9

❯ Data Visualization
https://t.co/0ydBdIKQka

❯ Mathematics & Statistics
https://t.co/b62getHyo7

❯ Probability
https://t.co/3Ym5JpxCMl

❯ Machine Learning
https://t.co/L89UeXjkhM

❯ Deep Learning
https://t.co/N752fTouOU

[Mark A100 @gatere_mark]

Ever wondered what it’s actually like to build AI for millions of users? Machine Learning at Microsoft Scale?

We are excited to host Kevin Chege (@KevinKibe15), a Machine Learning Engineer at @Microsoft, for an exclusive deep dive into Machine Learning in Big Tech.

Kevin will share insights on:
- His journey and daily life as an MLE at a global tech giant.
- Real-world insights from projects like Project Gecko and Paza.
- What it takes to move ML models from a laptop to the real world.
- How to get into Big Tech as a Machine Learning Engineer.

Whether you are a student, a researcher, or an AI enthusiast, this is your chance to learn from someone building the future of AI.

📅 Date: Wednesday, 6th May
🕗 Time: 7:00 PM - 8:00 PM (EAT)
🔗 Register Now: https://t.co/zeTFgw3ROs

Don’t miss out on these "Big Tech" insights. Open to All!

[♪∞ @__griff18]



[Luke Barousse @LukeBarousse]

Data Nerds! I just launched a FREE 10-Day Crash Course on Becoming a Data Engineer! 🛠️

This course is for the analyst whose boss heard 'I know SQL' and somehow translated that to 'build our entire data infrastructure.' 😵

Over the course of 10 days, I'll deliver it straight to your inbox, one email at a time:

🧑‍💻 Day 1: What Data Engineers actually do
🔄 Day 2: The Data Engineering Lifecycle — the framework everything clicks around
🛠️ Day 3: Essential DE tools — backed by real job posting data
🏗️ Day 4: Data warehouses, lakes, and lakehouses
📐 Day 5: Data modeling — the skill that separates analysts from engineers
📥 Day 6: Batch vs. streaming ingestion
🔧 Day 7: ETL, ELT, and transformations
📊 Day 8: Serving data to the business
⚙️ Day 9: Orchestration and production pipelines
🗺️ Day 10: Your DE learning roadmap
🎁 Bonus: How to land your data job

It's the crash course I wish I had back when I was nodding along to words like 'orchestration' and 'ingestion' and praying nobody asked me to define them. 😅

No fluff. No tool-of-the-week hype. Just the concepts that make the rest of it click.

📩 Link in the first comment 👇

[Google @Google]

We’re constantly updating our education tools to help students learn in their own way, and educators provide more personalized support. Some of our latest updates:
📔 Expanded @NotebookLM limits for more personalized learning
📚 No-cost NEET exam prep in the @GeminiApp
🏫 Free AI literacy training for 6 million U.S. educators
✍️ Gemini integration coming to the Moodle LMS to save time on lesson prep and personalize learning
🎓@GooglePhotos Takeout Transfer for graduating students to save photos from their school-issued ac count

[Google @Google]

Starting today, @GoogleAIStudio is included in Google AI Pro and Ultra subscription plans. 🧑‍💻

Subscribers now get increased usage limits and access to our Nano Banana Pro and Gemini Pro models — giving you more runway to turn your ideas into working apps in minutes with predictable costs.