Weekly#586

  • “…Alphabet Inc. and Meta Platforms Inc. have held discussions with major Hollywood studios about licensing content for use in the tech giants’ artificial intelligence video generation software, according to people familiar with the matter…”
  • Nvidia Company Overview
  • When Online Content Disappears: 38% of webpages that existed in 2013 are no longer accessible a decade later
  • Meta AI chief says large language models will not reach human intelligence
  • On Fire Drills and Phishing Tests
  • SEC approves 8 Ethereum ETFs including BlackRock and Fidelity
  • Amazon plans to give Alexa an AI overhaul — and a monthly subscription price
  • New technique to freeze brain tissue without harm
  • Reskilling Revolution: Preparing 1 billion people for tomorrow’s economy
  • TIOBE Index for May 2024
  • Vector DB Comparison
  • How Apple Wi-Fi Positioning System can be abused to track people around the globe

Weekly#585

  • GPT-4o blog post, Sam Altman’s blog post
  • Google I/O 2024 recap
  • iPhone 16 Pro Max will get a new battery that has a greater energy density than before
  • ChatGPT now lets you import files directly from Google Drive, Microsoft OneDrive
  • Hong Kong Officially Launches Digital Yuan Payments Pilot
  • Hugging Face to make $10M worth of old Nvidia GPUs freely available to AI devs
  • VMware Fusion Pro: Now Available Free for Personal Use
  • Microservices Design Patterns for Highly Resilient Architecture
  • Advanced Linux Troubleshooting Techniques for Site Reliability Engineers
  • Hugging Face Unveils LeRobot, an Open-Source Machine Learning Model for Robotics
  • Critical minerals problem
  • Strategic Cybersecurity Talent Framework
  • Shaping the Future of Learning: The Role of AI in Education 4.0
  • Realizing the Potential of Global Digital Jobs

Weekly#584

  • Big Tech companies sign CISA pledge to improve security practices
  • Google DeepMind’s new AI predicts how the molecules of life interact…that could open roads to new drugs or more resilient crops.
  • Moving from DynamoDB to tiered storage with MySQL+S3
  • Cloud Egress Costs Compared
  • Cloud Native AI (PDF)
  • OpenAI plans to announce Google search competitor on Monday
  • Apple Event Summary
  • ‘Warp drives’ may actually be possible someday
  • John Ternus emerging as most likely successor to Tim Cook as Apple CEO
  • WhatsApp officially rolling out update with refreshed design for iOS and Android
  • Google’s Sundar Pichai Lays Out His AI Roadmap
  • Jevons paradox
  • Elvish: scripting language
  • Meta Releases Llama 3 Open-Source LLM
  • Half grain-sized brain tissue with 1400 TB data mapped by Harvard, Google
  • NASA’s Proposed Plasma Rocket Would Get Us to Mars in 2 Months
  • Microsoft is launching a mobile game store, taking on Apple and Google

Weekly#583

  • Inside the AI research boom…The state of global AI research
  • How transcripts in Apple Podcasts became a time-saving killer feature
  • Apple announces Q2 2024 earnings, slightly beating expectations with $90.75 billion revenue
  • Governance as Code: An Innovative Approach to Software Architecture Verification
  • “…Chief Executive Officer Satya Nadella was scheduled to send a companywide email Friday outlining the new measures and reinforcing the notion that security is “job #1…”
  • Global Smartphone Market Grows 6% YoY in Q1 2024
  • Hubble Network makes Bluetooth connection with a satellite for the first time
  • Enterprise spending on cloud infrastructure services topped $76 billion during Q1 2024, up by $13.5 billion
  • How To Use Retrieval Augmented Generation (RAG) for Go Applications
  • Maximum-severity GitLab flaw allowing account hijacking under active exploitation

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.

Weekly#580

  • 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

Weekly#579

  • Elon Musk announces Tesla will unveil a ‘robotaxi’ on August 8
  • Apple changes App Store rules to allow retro game emulators globally
  • Varda Space’s orbital drug factory success fuels $90M in new funding
  • Sundar Pichai on the challenge of innovating in a huge company
  • Engineers Pinpoint Cause of Voyager 1 Issue, Are Working on Solution
  • Roku’s New HDMI Tech Could Show Ads When You Pause Your Game
  • Denis Villeneuve is doing Dune 3
  • Mars may not have had liquid water long enough for life to form
  • Google considers charging for AI-powered search in big change to business model
  • AI Ascent 2024 – Video Playlist

Weekly#578

  • Educators divided over AI’s impact
  • CodableRPC: An iOS UI Testing Power Tool
  • Xiaomi releases electric car $4K cheaper than Tesla’s Model 3
  • The Field Guide to Non-Engagement Signals
  • Major companies put U.S. cyber defenses to the test in simulated attack
  • Axios Review: Using Apple’s Vision Pro in real life
  • NYC will test AI gun detectors on the subway
  • Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale
  • Scaling AI/ML Infrastructure at Uber
  • 30 books that Elon Musk, Jeff Bezos, and Bill Gates recommend reading
  • 20 years of Gmail
  • Being a Backend Developer Today Feels Harder Than 20 Years Ago
  • How We’ll Reach a 1 Trillion Transistor GPU
  • Amazon concludes $4 billion investment in Anthropic
  • How Apple plans to update new iPhones without opening them
  • Distributed Caching: Enhancing Performance in Modern Applications
  • Monitoring Generative AI Applications in Production
  • Amazon.com Inc. plans to spend almost $150 billion in the coming 15 years on data centers, giving the cloud-computing giant the firepower to handle an expected explosion in demand for artificial intelligence applications and other digital services.
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Weekly#577

  • Book Recommendations from the AWS Enterprise Strategy Team
  • Google DeepMind’s new AI assistant helps elite soccer coaches get even better
  • Formula 1 chief appalled to find team using Excel to manage 20,000 car parts
  • GitHub’s latest AI tool can automatically fix code vulnerabilities
  • Google Releases Second Android 15 Developer Preview
  • Nvidia’s keynote at GTC held some surprises
  • World’s first Neuralink patient enjoying online chess, long Civ 6 sessions
  • Cloudflare Open Sources Pingora, a Rust framework for Developing HTTP Proxies
  • Fostering an Experimentation Culture in Software Development
  • OpenAI Courts Hollywood in Meetings With Film Studios, Directors…pitching its new AI video generation tool, Sora
  • Google is bringing satellite messaging to Android 15
  • Meet Cherry, an AI shopping assistant that helps you discover products using screenshots or images
  • GitHub’s latest AI tool can automatically fix code vulnerabilities
  • BBC develops AI plans and talks to Big Tech over archives access