Weekly#582

Microsoft “doubling down” on cybersecurity “…engineering leads at Microsoft are now prioritizing security over new features or shipping products more quickly…”
YouTube Q1 Ad Revenue Climbs 21% to $8.1 Billion
Microsoft Q1 Cloud revenue $35.1 billion
AI models inch closer to hacking on their own
Apple releases eight small AI language models aimed at on-device use…Apple’s new AI models, collectively named OpenELM for “Open-source Efficient Language Models,”…
JetBrains Launches IDE Services to Simplify Managing Development Tools
Sam Altman, Jensen Huang, and the 20 other leaders on the new AI safety board
Understanding API Technologies: A Comparative Analysis of REST, GraphQL, and Asynchronous APIs
QCon London: Meta Used Monolithic Architecture to Ship Threads in Only Five Months
Android TVs Can Expose User Email Inboxes
DragonCrawl: Generative AI for High-Quality Mobile Testing
Apple Reportedly Developing Its Own Custom Silicon for AI Servers

Weekly#581

Google consolidates its DeepMind and Research teams…Google is combining its Android and hardware teams — and it’s all about AI
Netflix subscribers : 269.6 mio
It’s time to retire the term “user”
Java vs. Scala: Comparative Analysis for Backend Development in Fintech
Google Announces Agent Builder, Expanded Gemini 1.5, Open-Source Additions
Chronon, Airbnb’s ML Feature Platform, Is Now Open Source
US Air Force confirms first successful AI dogfight
DDoS threat report for 2024 Q1
The AI Device Revolution Isn’t Going to Kill the Smartphone
Technology Radar vol.30
Stanford AI Index Report 2024
- AI beats humans on some tasks, but not on all.
- Industry continues to dominate frontier AI research.
- Frontier models get way more expensive…For example, OpenAI’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute.
- The United States leads China, the EU, and the U.K. as the leading source of top AI models.
- Robust and standardized evaluations for LLM responsibility are seriously lacking.
- Generative AI investment skyrockets.
- The data is in: AI makes workers more productive and leads to higher quality work.
- Scientific progress accelerates even further, thanks to AI.
- The number of AI regulations in the United States sharply increases.
- People across the globe are more cognizant of AI’s potential impact—and more nervous.

Google Cloud Next ‘24 – a recap
Development velocity
Elon Musk’s xAI previews Grok-1.5V, its first multimodal model
Naval Ravikant’s Airchat is a social app built around talk
AI Models : “...That’s the most common model for it. And so, today’s models cost of order $100 million to train, plus or minus factor two or three…The models that are in training now and that will come out at various times later this year or early next year are closer in cost to $1 billion. So that’s already happening. And then I think in 2025 and 2026, we’ll get more towards $5 or $10 billion…“
Big banks are in a race to get AI right…AI Innovation in Banking
Humane AI Pin review: not even close
Global internal payment fraud system at Delivery Hero
Space: The $1.8 Trillion Opportunity for Global Economic Growth
Fine porcelain maker Maruwa becomes the hottest bet for cooling AI data centres