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All Paid Courses (Free for First 4500 People). 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Prompt Engineering 4. Claude,Chatgpt,Grok 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. Ethical Hacking (72 Hours only ) Like + RT + comment ' Drive ' Must Follow me so I can DM you.

Drove Tesla FSD v14 Lite for an hour tonight on my M3 HW3 Tesla WAYYY better than v12.6.4. I know smoother is often the word used to describe a great build, but it just it fits for this update, very smooth. Tested HWY, residential, and back roads. All great! The parking feature worked exactly the same as using it with the Cybertruck. This v14 lite, on a HW3, feels as good as v14 to me on an AI4 vehicle. Very impressive @Tesla_AI — superb engineering feat! Thank you again for bringing the older fleet up to par 🙏

🚨 SAMSUNG, SK HYNIX, AND MICRON ARE GETTING SUED FOR ENGINEERING THE MEMORY CHIP SHORTAGE. The lawsuit, filed June 25 in California, accuses the three companies of using their pivot to AI memory chips as cover to cut production of regular DRAM, the memory used in everyday laptops and phones. DRAM prices have risen roughly 500-700% over the past four years. Micron reportedly shut down its consumer DRAM brand, Crucial, at the most profitable price point in its history, a move the lawsuit calls economically irrational unless it was coordinated. The lawsuit points directly to Apple's recent price hikes on iPads and Macs as evidence the damage is already reaching consumers. This isn't the first time. Between 1998 and 2002, Samsung, Hynix, Micron, Infineon, and Elpida ran an actual price fixing cartel, confirmed by US federal prosecutors. Samsung paid a $300 million criminal fine, Hynix paid $185 million, and Infineon paid $160 million, with several executives serving real prison time, sentences ranging from 4 to 14 months. The new lawsuit alleges Samsung and SK Hynix later rehired and promoted some of those same convicted executives into senior roles. Together, the three companies control the vast majority of global DRAM supply today, and building a single new DRAM factory costs $15 to $20 billion and takes years, making it nearly impossible for new competitors to break in and undercut them. That's the core problem this lawsuit is targeting. Three companies with total control over a market everyone depends on, the same companies already convicted once before, now facing the same accusation again while prices keep climbing and ordinary buyers have nowhere else to turn. Jefferies doesn't expect relief anytime soon. Prices are forecast to climb another 40-50% next quarter, then a further 30-40% on top of that the quarter after, meaning prices could roughly double by year end. 2027 is expected to bring another 40-45% increase on top of that, with no real normalization expected until 2028.

中国决定将20家日本实体列入出口管制管控名单 1. 防卫研究所（National Institute for Defense Studies） 2. 陆上装备研究所（Ground Systems Research Center） 3. 舰艇装备研究所（Naval Systems Research Center） 4. 航空装备研究所（Air Systems Research Center） 5. 日钢特机株式会社（NIKKO TOKKI Co., Ltd.） 6. 日钢YPK商事株式会社（NIKKO-YPK SHOJI Co., Ltd.） 7. 三菱电机防卫与空间技术株式会社（Mitsubishi Electric Defense and Space Technologies Corporation） 8. 三菱电机软件株式会社（Mitsubishi Electric Software Corporation） 9. 三菱电机工程株式会社（Mitsubishi Electric Engineering Company, Limited） 10. 三菱精密株式会社（Mitsubishi Precision Company, Limited） 11. 三菱重工海洋技术株式会社（MHI Oceanincs Co., Ltd.） 12. 三菱重工相模高科技株式会社（MHI Sagami High-tech, Ltd.） 13. 三菱重工物流技术株式会社（MHI Logitec Co., Ltd.） 14. 光和兴业株式会社（KOWA KOGYO, Ltd.） 15. 菱重特殊车辆服务株式会社（MHI Special Vehicles Parts Supply & Technical Service Co., Ltd.） 16. 三菱重工海事技术株式会社（MHI Maritech, Co., Ltd.） 17. KGM株式会社（Kawajyu Gifu Manufacturing Co., Ltd.） 18. 日本飞机株式会社（NIPPI Corporation） 19. 福图尼奥株式会社（Fortunio Co., Ltd.） 20. 青木精密工业株式会社（Aoki Seimitsu Kogyo Co., Ltd.）

好奇有没有一些小团队在做 “Harness Engineering as a Service” 的事情，把自己“部署”到其他中型大型公司，基于他们已有的工作流和正在使用的各种工具，搭建一套全公司可以无痛上手的新的 Workflow/Harness

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

In addition to their excellent and unique training data, the Cursor team is also making major engineering contributions to v9 SFT & RL. It’s an honor and a pleasure to work with them. For this 1.5T run, Cursor data was added in supplemental training, which is not quite as good as having it in initial training. The 2T run that started a few weeks ago has greatly improved data in scope & scale in almost every arena, and many upgrades/fixes to the training recipe. That will finish in late July for August release.