🎞️ Life#
College Roommate's Wedding#
On the evening of Friday, July 12th, we took a train to Nanjing and then went to Wuhu Nanling together with our classmates from Nanjing.
We arrived at the esports hotel around 12:30 am on July 13th and formed a five-person team for a big brawl.
Since we needed to get up at 4 o'clock to go to the groom's house, we planned to sleep for 2 hours. However, we kept losing and playing, and by the time it was past 3 o'clock, we still hadn't won a single game...
We quickly rested for half an hour (I couldn't fall asleep).
After getting up at 4 o'clock, we went to the groom's house. The environment was very beautiful, with a dam right outside the house, lots of lawns, and a river.
Despite the heavy rain, it couldn't stop the wedding procession.
The bride's family is in a nearby village, in a valley with mountains, water, and waterfalls.
The wedding procession went very smoothly, with the mother-in-law leading the way and urging everyone to move faster (🤣
We had a wonderful wedding banquet at noon.
Afterwards, we went back to the hotel to rest for a while and continued playing. Today's performance was pretty good, we won several games.
In the evening, we had dinner and chatted with the bride and groom, and the next morning we each went our separate ways.
Resuming Exercise#
Since the injury to my right elbow on June 16th, I haven't exercised for three weeks.
The cause at that time was unknown, suspected to be a combination of the following reasons:
- Regular fitness routine
- Playing basketball for two days during the Dragon Boat Festival
- Hiking in Shaoxing the day before
I felt pain when sleeping at night, and I should have gone to the hospital immediately and applied ice, but unfortunately, I lacked knowledge in this area.
After resuming exercise, I will see if there are any effects and whether I need to take a break.
Shadow of the Golden Tree#
I finished the final boss, the Millennial Horse, last weekend and collected all the fragments and ashes. Next, I can collect all the DLC's battle ashes, equipment, and more.
This DLC feels relatively simple overall. At the beginning, it was difficult when there were fewer fragments and ashes, but after exploring a bit, it gradually became easier. It also provides a lot of souls, so leveling up is fast. When I entered the DLC, I was level 187 in New Game Plus, and after finishing it, I reached level 213, despite losing several times due to high burden.
There are also many wheelchairs, although I haven't had a chance to play with the Pyromancy Flame, the main wheelchair was enough to complete the game.
Then I will continue with my New Game Plus and use the DLC weapons.
Currently, I am considering a Bloodtinge build or a Prayer build. The Flame Knight also seems viable.
💭 Excerpt#
Do ordinary Russians think Russia is aggressive?#
There is no justice in aggression, but efforts should be made to avoid being aggressed against and to become the aggressor.
When it comes to national interests, we should talk about justice and morality. Why not ask the developed countries why they are developed?
Also, why is China so large, even though it lost so much territory in modern wars?
📰 Weekly Digest#
MongoDB 8.0#
Starting from MongoDB 8.0, you can configure the database profiler to record slow operations based on the time spent by MongoDB executing the operation (rather than the total latency of the operation). This means that factors such as waiting for locks and traffic control will not affect whether an operation exceeds the slow operation threshold.
- Recording the time spent by MongoDB processing queries allows for more accurate recording of slow queries.
- Query analysis tools (such as the query profiler, performance advisor, and search query telemetry) report slow operations based on workingMillis instead of durationMillis. This change provides a more accurate view of problematic queries.
- The slow query log includes a new metric, ticketWaitMillis, which measures the time spent waiting for tickets. This metric helps determine whether slow operations are due to completion time or waiting start time.
Starting from MongoDB 8.0, you can use the new bulkWrite command to perform multiple insert, update, and delete operations on multiple collections in a single request. The existing db.collection.bulkWrite() method only allows you to modify one collection in a single request.
This is equivalent to integrating transactions into a statement, eliminating the need for manual transaction steps.
Starting from MongoDB 8.0, you can use the defaultMaxTimeMS cluster parameter to specify the default time limit for completing a single read operation.
It has been a year since the last major version of MongoDB, and since the protocol changed to SSPL, if you want to use new features, you can only set up your own server and cannot use cloud products.
Interview with a laid-off employee of Dealmoon: "Being laid off violently at the age of 35", more than 800,000 yuan in stock options went down the drain｜Storm Eye#
Phoenix Technology has learned that in medium-sized Internet companies, laying off high-cost employees before the vesting period of stock options has become a common practice for HR layoffs. "They deliberately prevent you from obtaining the options," said an employee who was laid off by a mid-sized Internet company, "I have never seen anything so disgusting."
Key Points#
I. Background
- Company: Dealmoon, a medium-sized Internet company specializing in trendy online shopping communities.
- Employee: Xu Kai, former employee of Dealmoon, front-end technical expert, laid off for reasons such as "failure to submit weekly reports" and "unreasonable allocation of working hours".
- Layoff time: July 2023.
- Stock option issue: Xu Kai held about 2,000 shares of Dealmoon stock options, worth about 1.6 million yuan, which he was unable to exercise due to the layoff.
II. Events
- Xu Kai's actions: After failing to reach an agreement with Dealmoon on obtaining the options before leaving the company, Xu Kai applied to restore his labor relationship with Dealmoon and received support from the Shanghai Labor Arbitration Commission.
- Dealmoon's response: Disagreeing with the arbitration result, Dealmoon continued to appeal and filed a lawsuit against Xu Kai.
III. Key Issues
- Vesting of stock options: Dealmoon laid off Xu Kai before the vesting period of his stock options, preventing him from exercising them.
- Reasons for the layoff: Dealmoon laid off Xu Kai citing reasons such as "failure to submit weekly reports" and "unreasonable allocation of working hours", but Xu Kai stated that he had no significant work mistakes during his employment.
- Employee treatment: Xu Kai faced high-intensity work during his time at Dealmoon, but the company did not discuss the stock option issue with him during the layoff.
IV. Company Situation
- Business growth: Dealmoon's performance in 2023 has grown significantly, with first-quarter GMV already surpassing the full-year GMV of 2022.
- Business strategy: Dealmoon faces growth pressure and adopts a cost reduction and efficiency improvement strategy, conducting personnel optimization every quarter.
V. Employee Voices
- Xu Kai's viewpoint: Xu Kai expressed dissatisfaction with Dealmoon's layoff behavior, believing that the company deliberately laid off employees before the vesting period of stock options, depriving them of their rights.
- Other employees: It is reported that in medium-sized Internet companies, laying off high-cost employees before the vesting period of stock options has become a common practice for HR layoffs.
VI. Company Response
- Dealmoon stated that Xu Kai's labor contract was terminated due to multiple unsatisfactory performance evaluations and emphasized the healthy development of the company's business, welcoming outstanding talents to join.
Source
The stock price of our company is so low that I can't be bothered to sell it. I'll just sell it when I leave in the future.
Qunar employees can work flexibly for 2 days a week#
Good!
📚 Articles#
France: The AI Revolution#
Key Points#
I. Introduction
- Background of AI Big Model Startups: Emphasizes the importance of mathematical geniuses in AI big model startups and points out that the underlying technology of AGI big models is controlled by a few geniuses.
- Status of Mathematics in France: Highlights that France is the cradle of mathematicians and attaches great importance to mathematics education and social culture.
II. History and Current Status of Mathematics in France
- Historical Heritage: Lists famous mathematicians in French history and their contributions to mathematics, such as Descartes, Fermat, Cauchy, Fourier, etc.
- Modern Achievements: Mentions outstanding performances of French mathematicians in the Fields Medal and top-level mathematical institutions and research institutions such as the University of Paris-Saclay.
III. Current Situation of AI in France
- Return of Mathematical Talent: Points out that many mathematical talents who received education in France are returning, becoming the main force in the French AI ecosystem.
- AI Companies: Lists some AI startups in France, such as Mistral, HuggingFace, etc.
IV. Conclusion
- Potential of AI in France: Emphasizes the deep mathematical foundation and the return of mathematical talents as a huge potential for the AI field in France.
Education is still crucial.