SPCX closed its first trading day (June 12, 2026) at $160.95, up +19.2% from the $135 IPO offer price and up +7.3% from the $150 opening print (11:46 AM ET). Intraday high: $176.52. Intraday range: $150.00–$176.52. Volume: ~510 million shares traded — close to Facebook's 580M record from its 2012 debut, and roughly 10x the first-day volume of Cerebras (the year's second-largest IPO). Total dollar value traded: approximately $84 billion (LSEG data). Market cap at close: ~$2.1 trillion, making SPCX the sixth-largest publicly traded company in the United States. After-hours (as of 8:00 PM ET June 12): $166.76, +$5.81 (+3.61%) vs. close (MarketBeat).
SpaceX was founded to make life multiplanetary. We’ve been able to expand that mission with our Starlink constellation and AI solution
Learn more → https://t.co/PSCyWrMUYI
EU AI Act high-risk deadline is imminent (August 2, 2026): Organizations deploying AI in HR, credit scoring, and critical infrastructure face market exclusion or fines up to €35M or 7% of global turnover if non-compliant
CEO Nik Storonsky turned a scrappy startup into a fintech juggernaut — now he has to convince the world that his company is as safe as a bank https://t.co/7U7scdb6mi
Harvard University just voted to limit the number of A grades given in undergraduate classes to about 20% of the class. I’m not in favor of this. It deeply runs counter to how I believe education should be. We should hold a high bar, but also work mightily to support the success of 100% of learners, rather than a fraction.
Harvard’s administration took this step — over the objections of a large fraction of the student body — to counter grade inflation. Grade inflation is real: Many universities have been awarding A and B grades to ever larger fractions of students, and this has caused grade point averages (GPAs) to become less useful as signals of student skill. At the same time, we want students to succeed. The heart of the question is the role of educational institutions. Should our goal be:
- To help students succeed?
- To judge students?
Both of these have value. But my focus when working in education is almost entirely helping students succeed.
To me, it is clear that many people want to learn, to be empowered, to build skills that let them do new things! This is what we focus on at DeepLearningAI. This philosophy is also why my online courses (going back to my early online Stanford courses on Coursera) permitted an unlimited number of retries for graded assignments.
I believe in letting — and even encouraging — someone to redo something until they succeed. This is as opposed to standing in judgement of the fact they didn’t get it right the first time. Further, I want homework assignments to be designed primarily to help people practice and learn, rather than to judge their skill level. This is why I prefer to create “Practice Problems” and “Practice Labs” — questions that, when you think through them, help you to gain practice and reinforce what you know. As opposed to “Assessment Problems” designed primarily to judge skill.
But won’t Harvard’s move make GPAs more meaningful and help prospective employers identify strong candidates? Having hired a large number of people from Harvard and other institutions, I can say confidently that GPA is not an important signal. We have screening and interviewing processes that give far more accurate ways to figure out if someone is truly skilled. I do not need a wider spread in applicant GPA scores to figure out who's really good!
To be clear, there is also value in assessment. Even though standardized testing is much hated, high-quality tests like the SAT, ACT, GRE, TOEFL, etc. provide objective measures of ability in a domain. I find that most people want to learn and succeed. There are also people who want rigorous assessment (for example, to apply for school admissions), but this is a lesser need, and is not my focus when building educational products.
Harvard is often described as an “elite” educational institution. There are two ways to be elite: One option involves limiting enrollments, and then even among admitted students, cap the number of people that do well at 20%. I would rather pursue a different path: Set a high bar and teach elite, cutting-edge skills, but strive relentlessly to help everyone succeed. This way, eliteness is defined not by excluding people but by helping as many people as possible to be excellent.
[Original text: The Batch newsletter]
My new badge on Kagle. These badges are like souvenirs to collect as you explore the Kaggle platform, gaining familiarity and new skills along the way.
Microsoft’s 5C framework is a useful reminder that technology may accelerate work, but people still create the real advantage.
The five Cs are Curiosity, Courage, Creativity, Compassion, and Communication. Together, they describe the capabilities that help professionals adapt, lead, and create value in an AI-powered workplace.
See the meaning for every skill in thread + SOURSE link
The key message is simple: AI can support performance, but human skills define impact. The professionals who will stand out are those who combine AI fluency with the 5Cs — because the future belongs to people who can think critically, connect deeply, and act with judgment.
Communication means turning ideas into shared understanding. It is not just about speaking clearly, but also listening well, aligning people, and influencing action.
Compassion means understanding people, their context, and their needs with empathy. This is what builds trust, strengthens teams, and makes leadership genuinely effective.
Creativity means producing original ideas, combining concepts in new ways, and finding solutions that are not obvious. AI can generate outputs, but human creativity gives them direction, relevance, and purpose.
Courage means making decisions when outcomes are uncertain, challenging assumptions, and taking smart risks. In complex environments, progress often depends on acting before everything is perfectly clear.
Curiosity means asking better questions, exploring new ideas, and staying open to change. It is the habit that helps us learn faster than the environment changes.