#Score of 3.25

[seat-safety-switch]

Couple of years ago, I wanted a new job. Well, "wanted" is a very strong word. "Needed," is closer. That makes me sound needy, though, and I'm told that's a big turn-off for interviews. Honesty is the best policy, according to my old Uncle Todd, who wasn't actually related to me in any way but remained a peripheral part of family barbecues until the train accident. "Legally obligated to as part of my parole requirements." There. Anyway, I didn't get the job.

It wasn't because I lacked qualifications. In fact, the local Pep Boys® – remember those guys, with their enormous fibreglass heads, and terrifying dead eyes? – needed a guy like me, who was willing to bend the rules. "Parts compatibility" was holding back their profits, in my mind.

What good was having a Mr. Goodwrench carburetor on the shelf when you mostly had Fordites turning up and asking if they could have Motorcraft and only Motorcraft? I knew those things were the same, and even if they weren't, anyone worth their salt could whip up an adapter plate in an hour or so. Two, max, if they got wounded playing Thumb Rodeo on the bandsaw. Their Mustangs would run just as well on the Traitor Brand's products. Physics didn't change when the dealership down the street gave you 2.89% instead of 3.25% and you abandoned the brand loyalty of your forefathers over a couple bucks a month. I digress. Let's get back to the interview.

If you've ever interviewed at a retail job, you know it's very embarrassing. They make you fill out psych profiles, to make sure you don't shoplift. Like this right off the tip. Bossman's bossman wants you to know your place. Here's the problem with psych profiles: they were made for normal people, and the cheapo consulting firm they hired was simply not capable of understanding the unique mental structure of the Car Person. Another weakness that I planned to attack, knowing full well that the survey would be computer-graded. I simply filled in all the Scantron bubbles with my No. 2 pencil, and waited for the offer letter to arrive at my mailbox.

A few weeks later, I went in there. Not so much because I was grumpy about not getting the job, but because I needed a Weatherpack connector and I knew that they were understaffed and unlikely to do much about a little friendly shoplifting. Unfortunately for me, the entire store had been shoplifted. Right into its constituent molecules. Turns out my score was the lowest in history, and corporate just decided it was best to be done with the entire neighbourhood, by way of an inanimate carbon rod launched from their orbital platform.

It's not all bad. I got a job with the United Nations Corporate Crime department afterward based entirely on my witness statement. Those plush assholes didn't even lock up their pen cabinet: I made like fifty, sixty bucks on eBay before they canned my ass too.

[bearterritory]

PALO ALTO – California track & field ended its regular season in tremendous fashion this week, picking up a more-than-decisive victory on the men's side at the 129th Big Meet by demolishing Stanford at Cobb Track and Angell Field by a margin of 114-48, its largest point differential since 1992. The men also picked up two meet records courtesy of NCAA leader Rowan Hamilton (hammer, 74.46m/244-3) and the 4x100m relay quartet of Chase Williams, George Monroe, Mason Mangum and David Foster (39.46); both were previously owned by the Cardinal, with Hamilton's surpassing Dave Popejoy's 1995 mark by over four meters.   The win from Hamilton capped off the Golden Bears' first podium sweep of the day, which included Ivar Moisander's second-place mark of 68.29m (224-0) and Michael Gupta's third-place 64.57m (211-10); the latter, a personal-best, moved Gupta up to No. 7 in program history. Cal also scored all nine points in the men's pole vault thanks to Will Siemens (4.77m/15-7.75), Parker Terrill (4.77m/15-7.75) and David Brok (4.47m/14-8), then repeated that feat in the discus, where Justin Wirtz's third-place 52.53m/172-4 followed massive personal bests from Nick Godbehere (53.85m/176-8) and Charlie Dang (53.58m/175-9). The decathlete trio of Seth Johnson, Luke Buddie and Riley Knott also went 1-2-3, in that order, in both the 110m hurdles and the javelin; in the hurdles, Johnson's victory came at a time of 14.86 to Buddie's personal-best 15.12 and Knott's 15.16, while the javelin contest resulted in 54.57m (179-0) for Johnson, 52.48m (172-2) for Buddie and 51.51m (169-0) for Knott. One final men's sweep came in the 100m, where Foster (10.25) led Williams (10.39) and Monroe (10.39) to another nine points for Cal.   Other wins for Cal's men came in the long jump (Mangum, 7.66mw/25-1.75), the high jump (Jai Williams, 2.07m/6-9.5), the 400m (Isaiah Shaw, 46.76), the 800m (Iyan Godwin, 1:54.26), the 400m hurdles (Aiden Baker, 52.97), the 200m (Foster, 21.16 – PR) and the 4x400m (Shaw/Godwin/Johnson/Josh Keller, 3:13.23).   In the women's competition, the Cardinal broke a three-year Cal winning streak, taking the win with a score of 90-72. Senior Amari Turner earned Cal's third meet record of the day in the pole vault, surpassing the 2011 mark set by Stanford's Katerina Stefanidi with a winning leap of 4.35m (14-3.25).

Turner's result highlighted one of three podium sweeps on the women's side, with Kylie Hilton (4.07m/13-4.25) and Ali Sahaida (3.97m/13-0.25) rounding out the pole vault top three. Cal also earned that distinction in the 100m hurdles – with Jazlynn Shearer's 13.52 beating out a 13.53 from Jada Hicks and a 14.17 from Mari Testa – and the women's hammer, where Jasmine Blair's 60.47m (198-4) led Adrianna Coleman's 56.54m (185-6) and Destiny Okoh's 56.47m (185-3). Blair later picked up another win in the discus, where she improved her PR (and program No. 2 mark) by over a meter to 59.60m (195-6).   Cal's women took home three more field event victories. The shot put contest landed in favor of Caisa-Marie Lindfors, who posted a throw of 15.18m (49-9.75) for the win, while Myla Canty out-leapt the field in the triple jump (12.19m/40-0) and Carolina Visca out-threw her competition in the javelin (50.03m/164-1).   "I think all of our kids competed to the best of their ability," Director of Track & Field/Cross Country Robyne Johnson said. "Credit to Stanford's women – they were the better team today. Our guys did a really good job, really showed up. I think we can do something special at the Pac-12 Championships."  

[paldean-sandwich-rater]

Saw this on my SnapChatot spotlight... Who made this and why?

Why would… 4 packs of salt? This could have been okay. Why.

Ingredients: Ham (x2), egg (x3), prosciutto (x6(?)), and salt (x4)

Smell: Meaty and salty. It’s fine. 3/5

Taste: Mostly salty. There’s 4 containers of salt and a lot of an already salty meat. It’s not great. 2/5

Texture: Dry. I am not fond of the texture of boiled eggs. I especially think it does not add to the sandwich. 1/5

Presentation: Why is the bread floating off to the edge. Why is the ham over there. What happened while the sandwich was being made that caused this. At least there is the top bun. 2/5

Would Chunk Eat It?: Probably. 5/5

Final Score: 3.25/5

Critic’s Notes: It always frustrates me when a sandwich could have been good. And then a completely unnecessary thing is added.

[vezzythefirst]

I finally went to the eye doctor @posei-dont-mina

mina I finally went o the eye doctor and um …….. my vision score is a -3.25 which really bad but it’s ok cus my two pairs of glasses are really cute also I hope ur getting better from your sickness ☺️

[enbymoomin]

Shows I Watched in 2022: Ranked!

This is very late, but I wanted to do this anyway. Surprisingly, it turns out I actually watched 22 shows in 2022!

Because I’m me, I decided to systematically rank them all by scoring each show out of 5 in three categories: Blorboness (how blorbable the characters are, how much they rotate through my mind), Quality (execution, narrative elements), and Enjoyability (including and especially rewatchability). Then, I totaled the categories for a final score out of 15. Here we go! >:)

1. Kinnporsche the Series - 15 pts

Blorboness: 5

Quality: 5

Enjoyability: 5

Comment: On my list of favorite shows of all time, KP is second only to Black Sails. Black fucking Sails. Let that sink in. But the attention to detail in the cinematography, symbolism, meta, relationships, queerness, EVERYTHING absolutely merits its place next to The King <33

2. Word of Honor - 15 pts

Blorboness: 5

Quality: 5

Enjoyability: 5

3. The Untamed - 15 pts

Blorboness: 5

Quality: 5

Enjoyability: 5

Comment: This show was actually revolutionary for me because it was the first time I saw that I could be both queer and Chinese. WOH only ranks higher bc the WOMEN 😳🏳️‍🌈

4. Young Royals S2 - 15 pts

Blorboness: 5

Quality: 5

Enjoyability: 5

5. The Owl House - 15 pts

Blorboness: 5

Quality: 5

Enjoyability: 5

The rest below the cut for your dashes:

6. First Kill - 14 pts

Blorboness: 5

Quality: 4

Enjoyability: 5

7. The Sandman - 14 pts

Blorboness: 4

Quality: 5

Enjoyability: 5

Comment: Sure, none of them in the gif are Dream nor Hob Gadling but I think this trio deserves more love and attention <33

8. Our Flag Means Death - 14 pts

Blorboness: 3

Quality: 5

Enjoyability: 5

Comment: extra point +1 for pirates <333

9. What We Do In The Shadows - 14 pts

Blorboness: 4

Quality: 5

Enjoyability: 5

10. We Best Love - 12 pts

Blorboness: 4

Quality: 4

Enjoyability: 4

Comment: shout out to one of The Best Kisses Of All Time in media

11. Heartstopper - 11 pts

Blorboness: 2

Quality: 5

Enjoyability: 4

Comment: I was surprised how much I liked it! Generally I feel like I don’t really need these kind of stories anymore for me personally, but it really took me by surprise :))

12. Gap the Series - 10 pts

Blorboness: 4

Quality: 3

Enjoyability: 3

13. Love Victor S3 - 10 pts

Blorboness: 3

Quality: 4

Enjoyability: 3

Comment: SHOCKED that Love, Victor is this high up tbh but I gotta say I can’t really dunk it. It did good :))

14. Love in the Air - 9.5 pts

Blorboness: 3

Quality: 3

Enjoyability: 3.5

Comment: PrapaiSky my beloveds ilysm but I cannot fucking stand Rain, so. It ranks here :(( (If I divided LITA into first half & second half, the rankings would be drastically different)

15. Big Dragon - 9.25 pts

Blorboness: 3

Quality: 2 (honorable) (affectionate) (derogatory)

Enjoyability: 3.25

Comment: I had fun watching this show but. It’s so fucking bad!!! (affectionate) Extra point +1 for how fucking bad it is!!!!

16. Never Have I Ever S3 - 9 pts

Blorboness: 2

Quality: 4

Enjoyability: 3

17. The Gilded Age - 9 pts

Blorboness: 1.5

Quality: 4

Enjoyability: 3.5

Comment: It was so good, it caught me by surprise! No real blorbos tho :((

18. The Umbrella Academy S3 - 9 pts

Blorboness: 3

Quality: 3

Enjoyability: 3

19. Brooklyn Nine-Nine - 7 pts

Blorboness: 1

Quality: 3

Enjoyability: 3

20. Lovely Writer - 6 pts

Blorboness: 1 (Tiffy 👀😍)

Quality: 3

Enjoyability: 2

Comment: I love the message they were going for but then they also. Still played into the same thing they were criticizing. So it was a bit confusing 🤨 Ended up dropping quality a bit and enjoyability too

21. Cherry Magic - 2 pts

Blorboness: 0

Quality: 2

Enjoyability: 0

Comment: Okay. I know this is controversial and maybe I was just in a bad place when I watched it. I have also learned more historical/cultural context for the show since then that gives me a greater appreciation for it now. I think I’m still going to rate this based on my reaction to watching it in the moment, but perhaps Cherry Magic deserves a second chance from me in the future. 👀

HONORABLE DEROGATORY LAST PLACE: 22. Advance Bravely - -1 (yes negative <3)

Blorboness: 1

Quality: -5

Enjoyability: 3

Comment: This was so confusing it was incredible i would never recommend it i think it’s mandatory viewing in the gjcu (gong jun cinematic universe). I thank and largely blame @sugarbabywenkexing for inspiring me to watch this.

I had fun making this! Thank you to all the Tumblr gif makers who a) made this post possible and b) convinced me to watch these shows in the first place. Feel free to yell about shows with me in my ask box or messages. 😎

[korshrimpski]

All the chaotic things I remember from the Anaheim Ducks 2023-24 season

[no particular order]

Injures: I swear half the roster was injured 💀 (they were the 3rd most injured team this season, behind Chicago and San Jose)

Pavel Mintyukov, he’s literally a little guy, who just so happens to know how to fight people (I love him)

In his second ever NHL game he managed to piss off the canes enough to start a scrum (group hug)

He managed to piss off Jack Hughes so much that J.Hughes cross-checked him not once, but twice (Jack Hughes fans pls do not come for me i understand how hockey works, emotions get high and you do stupid things, this isn't me saying J.Hughes is a baby)

During that Chicago vs Anaheim scrum he absolutely fucked up Reese Johnson

Their 6 game winning streaks and during that winning streak they handed Boston their first lose of the season (before the ducks boston was on a 7 game win streak) (Also would like to mention now that the ducks win the most random games)

4 games after the win streak the ducks went on an 8 game win stealing breaking it against the Avs (of all teams) in a shootout

Their 9-2 lose against the maple leafs

Their 8-2 lose against Colorado

Their 7-4 lose against the Columbus Bluejackets

More in-depth about the 7-4 lose against the blue jackets: Anaheim was down 3 in the first period and then the blue jackets scored a goal at the start of the second but then the ducks came back in the seconded and scored 4, meaning they were going into the third tied. Then to put it lightly Anaheim absolutely fucked it

Their regular season series against Edmonton

At the end of the series Edmonton scored a total of 26 goals against the ducks and the ducks only scored 8 goals the entire series, and the ratio looks insane, 1:3.25

Their 7-2 lose against the Chicago Blackhawks, that almost had a goalie fight

The Drysdale-Gauthier trade (most insane trade of the season)

Them winning the regular season series against the Vegas Golden Knights and the Nashville Predators (im sorry, how the fuck did they do that ? 😭)

The ducks being the Panthers in OT (again they sometimes win the most random games) and while celebrating Frank Vatrano flipped off a fan (iconic)

Mason McTavish’s bobblehead night (Apr.5) which he was injured for so he couldn’t be there 💀

In the 23-24 season they are the 2nd most shutout team, getting shutout 10 times (the team shutout the most was Chicago with 12)

They had the most penalty minutes, only by 2 minutes (that is 685th in league history)

6/8 of their defensemen are left handed. Like please TRY AND GET A RIGHT HANDED DEFENSEMEN 👹

The Toronto Sun calling Lukáš Dostál a “no-name goalie” then doubling down on it, when Dostál made 55/57 saves and was the reason the ducks had a chance at winning the game

The ducks barley beating their last season win and points record (left: 23-24. Right: 22-23)

[libertyreads]

April 2024 Wrap Up--

(Please ignore the crooked photo because my migraine refuses to let me edit it.) This month I went back to school which has really been reflected in my reading totals. I read the normal 8 books for the month, but I read much smaller books. My average page count per book was only 293 pages. I will say that I feel like I had a better reading month ratings wise. Let's get into the numbers:

Comics/Graphic Novels-- 1. Teen Titans: Beast Boy by Kami Garcia and Gabriel Picolo--3.75 stars (original rating).

2. Fangs by Sarah Andersen--4 stars.

Novellas/Short Stories-- 1. My Lucky #13 by Piper Rayne--3.25 stars.

Novels-- 1. Bad Men by Julie Mae Cohen--3.75 stars.

2. The Score by Elle Kennedy--3 stars.

3. Just Do This One Thing for Me by Laura Zimmermann--3 stars.

4. The Hemlock Queen by Hannah F. Whitten--3.75 stars.

5. Stars and Smoke by Marie Lu--4 stars (new rating).

The average rating for the month was 3.53 stars.

[shivam95]

The University of Illinois MSM Program

The University of Illinois MSM program that provides non-business undergraduates with a strong foundation in business management skills.

This 36-credit hour, STEM-designated program can be completed in just 9 months.

Class Profile

The University of Illinois MSM program attracts a diverse group of students from various academic backgrounds, including communication, biology, psychology, political science, history, and engineering.

The class is highly selective, with decisions based on previous academic accomplishments, personal statements, resumes, demonstrated potential for graduate and professional success, and references.

Fees & Financing

The tuition fee for the University of Illinois MSM program is $44,432 per year for international students.The university offers scholarships to help students finance their studies.

Eligibility Criteria

Admission to the University of Illinois MSM program is highly competitive. Applicants must meet the following requirements:

Bachelor's degree in any field

Minimum GPA of 3.0 out of 4.0 for the final 60 semester hours of undergraduate study

GMAT or GRE scores (waived for University of Illinois students or alumni with a cumulative GPA of 3.25/4.00)

TOEFL score of 103 or IELTS score of 7.5 for international applicants

Two letters of recommendation

Personal statement

Resume

Program & Curriculum

The University of Illinois MSM program consists of 36 credit hours taken over two semesters (fall and spring).The curriculum is designed to provide students with fundamental business skills that build upon their undergraduate education.

Fall Semester Courses (18 Credit Hours):

Business Process Management

Communicating with Data

Financial Management

Marketing Management

Operations Management

Quantitative Reasoning for Business

Spring Semester Courses (18 Credit Hours):

Business Consulting Project

Business Ethics and Corporate Social Responsibility

Global Business

Organizational Behavior

Strategic Management

Electives (6 credit hours)

Students can customize their degree by choosing electives based on their interests and career aspirations.

Elective options include courses in data analytics, marketing, global business, finance, design, entrepreneurship, sustainability, and nonprofit management.

Employment Upon Graduation

Graduates of the University of Illinois MSM program are well-prepared to take on leadership roles in various industries. The program's focus on developing problem-solving skills and providing a solid foundation in business management makes MSM graduates attractive to employers.

Recent MSM graduates have secured positions at companies such as Amazon, Deloitte, EY, Accenture, and PwC.

The program's strong industry connections and career services help students navigate the job market and secure internships and full-time positions.

Why the University of Illinois MSM is Unique

The University of Illinois MSM program stands out for several reasons:

Flexibility: The program allows students to customize their degree by choosing electives that align with their interests and career goals.

STEM Designation: The MSM program is STEM-designated, which means international students may be eligible for an extended Optional Practical Training (OPT) period.

Stackability: The MSM program can be stacked with the university's celebrated online MBA (iMBA) program, providing students with the opportunity to further their education and advance their careers.

Top Faculty: The MSM program is taught by the same renowned faculty who teach in the university's other graduate programs, ensuring a high-quality educational experience.

Diverse Class Profile: The program attracts students from various academic backgrounds, creating a rich learning environment and opportunities for collaboration and networking.

Conclusion

The University of Illinois MSM program is an excellent choice for non-business undergraduates looking to gain a competitive edge in the job market. With its flexible curriculum, STEM designation, stackability with the MBA program, and top-notch faculty, the MSM program offers a transformative educational experience that prepares students for success in the dynamic business world.

[w35game]

What is Over/Under 3.25? Instructions for reading odds & Bet at w35 games

Over/Under 3.25 (3-3.5) is the odds given by the bookmaker to predict the total score. win will be less or more than 3.25. This ratio is often seen when 2 teams have Great scoring ability.

https://w35game.com/w35-games/10.html

[twins2994]

Tampa Bay Rays-Minnesota Twins Series Preview

6.18.24-Aaron Civale RHP (2-5) 5.20 ERA Vs. Pablo Lopez RHP (6-6) 5.33 ERA

6.19.24-Taj Bradley RHP (2-4) 4.23 ERA Vs. Joe Ryan RHP (5-5) 3.24 ERA

6.20.24-Zack Littell RHP (2-5) 4.24 ERA Vs. Simeon Woods Richarsdon RHP (2-1) 3.29 ERA

The Rays At A Glance- The Rays have been somewhat disappointing in 2024. They had a (14-17) start in April then played .500 baseball in May. They are (34-38) and sit in last place in the tough American League East. The Braves took two out of three from them in Atlanta and the next leg of this road trip is in Minnesota. Amed Rosario has had a resurgent year with a .299 average. Isaac Paredes leads the team with ten homers and thirty-eight RBI. The Rays have only hit fifty-seven homers in seventy-two games this year. Tampa Bay is averaging 3.9 runs per game. The Rays starting staff has a 4.47 ERA, which is 22nd in baseball. Zach Eflin and Zack Littell have been solid starters for the Rays. The bullpen is about the same with a 4.37 ERA. Pete Fairbanks has locked down ten saves with a 3.13 ERA. Jason Adam has been very good with a 2.40 ERA in thirty innings of work.

The Twins At A Glance- The Twins have played better baseball since returning home. They took two of three from the Rockies and swept all four games from the A's this weekend. The Twins get a much-needed day off after a doubleheader on Sunday. Carlos Correa has been on fire with a .431 average, four homers and sixteen RBI in June. Royce Lewis has hit six homers with ten RBI since returning. Kyle Farmer is hitting .375 in June. The Twins have scored eighty runs in fifteen games in June. Joe Ryan has thrown two straight games of seven innings and allowing two runs. Bailey Ober was great on Sunday with a 6 1/3 really good innings, where he allowed just one run. Josh Staumont has thrown 15 1/3 scoreless innings since joining the Twins. Jorge Alcala has been a very good bullpen piece with a 1.99 ERA.

What To Watch For- The Rays were (5-1) against the Twins in 2023. The Rays swept the Twins in St. Petersburg in early-June then took two of three from the Twins at Target Field in September. Aaron Civale is (1-4) with a 3.78 ERA in nine starts against the Twins. Byron Buxton has two career homers off Civale Pablo Lopez is (1-3) with a 3.25 ERA in six starts against the Rays. Taj Bradley gave up four runs over 4 2/3 innings in his only outing against the Twins. Joe Ryan allowed four runs in 4 2/3 innings in his only start against the team that drafted him. Zack Littell has a 3.00 ERA in nine innings against his former team. Simeon Woods Richardson has never faced the Rays. The Twins get a little step up in competition this week with the Rays.

-Chris Kreibich-

[paldean-sandwich-rater]

When I was younger I would eat lettuce and honey mustard sandwiches when i didn't have the energy to make proper food...... .....thoughts..?

-@hoppip-haven

(Ooc: I did in fact do this but in my case I just really liked how they tasted lol)

Ingredients: Lettuce and honey mustard

Smell: It smells like honey mustard. Shocking I’m sure. That’s all there is. 3/5

Taste: You’re basically just eating honey mustard on bread. 2/5

Texture: Fine? I guess? 3/5

Would Chunk Eat It?: Yes. 5/5

Final Score: 3.25/5

Critic’s Notes: I mean, it’s fine. And I assume by the way you say “when you were younger” that you don’t do this anymore. But I don’t see why adding another vegetable or sliced meat would use much more energy.

[zannatykhatun]

Large factories begin to “go high-end P”

Once upon a time, when working in Alibaba, it didn’t matter what position you were in, or how many years you had been in the job. What mattered was your P number. If you can become Alibaba P8, it means an annual salary HE Tuber  of one million, becoming a ceiling among workers, and reaching the pinnacle of life.

But by the end of this year, Alibaba may personally cut off high-end products, and the high-end halo of big manufacturers will become a thing of the past.

On July 13, according to 36Kr, Taobao Tmall Group (hereinafter referred to as "Taotian") recently launched a human resources system reform plan, which is expected to be officially implemented after

December this year. The plan is specifically as follows:

Cancel the P sequence, use levels 14-28 to correspond to the original P4-P8, and every three levels correspond to one P level, and the wages and bonuses of employees at levels 14-28 will not be linked only to the level;

The original employees above P8 will be appointed by the organization. There will no longer be promotions and downgrades. Salaries and bonuses will be determined based on business scale and team size;

There will only be three levels of performance scores: 3.75, 3.5, and 3.25. 3.5+ and 3.5- will be cancelled. Those with outstanding performance may achieve multiple levels of promotion within a year.

The core of all business competition is organizational competition, and the rank system consisting of promotion, salary increase and performance can best reflect where a company wants to take the organization. Nowadays, Alibaba is reforming its rank system, de-Political, and splitting the group from six to one and three ranks. A series of actions are regarded by the outside world as "cleaning up the old white rabbits" and "curing the disease of large companies."

The reasons behind it are not difficult to understand. Ali’s rank changes this time are reminiscent of Ali’s situation of being besieged by opponents and the pressure of performance growth. The “pampered” high-level P is no longer needed, replaced by the “do as much as you can” Take as much as you can” and “Make room for young people”.

Judging from Ali's series of group splits and actions this year to take responsibility for its own profits and losses, this rank system reform modeled by Taotian once again declared Ali's determination to change.

More people are curious, after Alibaba launches the reform of the rank system, how many major domestic Internet companies will choose to follow suit? At the expense of the high-P halo disappearing, can it be exchanged for another renewal in the Internet era?

1. Ali goes to P: performance determines bonuses, promotion may become difficult

Among Alibaba’s series of rank system reform actions, two aspects have attracted the most attention.

On the one hand, the P sequence is canceled and replaced by "one split into three" , with levels 14-28 corresponding to the original P4-P8, and every three levels corresponding to a P level. Employees above the original P8 are appointed by the organization.

On the other hand, the levels and bonuses of all employees are separated . Employees above the original P8 level determine their salaries and bonuses based on business scale and team size.

It can be expected that after this adjustment, Taotian will undergo two major changes: the difficulty of "promoting to P" will become more difficult, and the wages and bonuses received by employees will no longer be based on high ranks, but will depend on performance. Industry insiders said that this adjustment plan is expected to be switched after December, and the year-end bonus that employees are most concerned about will inevitably be affected.

Taotian's reform of the rank system is not surprising in terms of the timing and the group that was the first to be "operated".

Since March this year, Alibaba has successively completed the

"biggest reform in its 24 years of existence", from the "1+6+N" organizational structure adjustment in March, to the announcement of the new board lineup of the six major business groups in May, to the Zhang Yong handed over the baton to Cai Chongxin and Wu Yongming. After a series of adjustments, as the six major business groups began to be responsible for their own profits and losses, independent BUs made independent accounting, and each small team divided the cake according to performance, the change in the rank system was an inevitable result.

Senior Alibaba employee Gao Gao said that in the past, regardless of the performance of each group, when it was time to divide the money at the end of the year, it was the group that paid, and the business leaders did not feel bad. Now they have to be responsible for their own profits and losses, and the business has to "pay out of their own pockets." The mentality is different. , the movements will naturally be different. As Alibaba's core group, Taotian has complex business lines and many stakeholders, so it is natural that it must take the lead in making changes.

From the perspective of group development, this attack is directed at the problems of large companies, with the purpose of enhancing the flexibility, flatness and practicality of the organization.

The biggest adjustment to the new rank promotion rules is to increase the number of levels for grassroots promotions and to increase the assessment of high-level P’s. Although Alibaba's internal website states that the increase in levels is to increase promotion opportunities, many people hold the opposite view and believe that the overall difficulty of promotion is increasing.

Grassroots employees now need to jump three levels to advance to P. The increase in levels does not mean that the difficulty will be reduced, because the assessment they face will increase; while the original employees above P8 are appointed by the organization and no longer enjoy the privilege of "ranks follow their years" , facing the risk of being dismissed due to unqualified performance.

"The fundamental reason behind this is that there are not enough 'holes'. After the group was split into six, the business integration brought about redundancy in middle-level positions such as P8 and P9. In fact, we don't need that many people. The higher you go up, the fewer the holes. , the higher the requirements." Senior product manager Judge said.

It is more difficult to get promoted, and the wages that workers are most concerned about have also changed. Employee wages are generally composed of wages + stocks + bonuses. In the context of the general depreciation of stocks in large companies and becoming a "salary recovery plan", how much money grassroots employees and high-ranking executives can receive each year mainly depends on bonuses. Nowadays, strict rules on rewards based on merit and performance have made senior managers begin to bear greater performance pressure, while grassroots employees have to rely on their actual contributions to speak for themselves.

The judge believes that decoupling high-ranking positions from high-salary means that senior executives with smaller business and smaller teams still have to perform well if they want to stay or move up. "The main purpose of the company is to avoid eating from the big pot, and the company cannot tolerate anyone making money on the side."

However, this change of Taotian is in line with one of Ali's very important values ​​- embracing change. The intensity and speed of the reform are somewhat "radical" in the eyes of the outside world. However, considering the current situation of Alibaba’s slowdown in growth, numerous competitors, and large companies suffering from illnesses in the past two years, this radical change seems understandable.

After large companies operate under the same organizational structure for too long, the ethos attached to this organizational structure will gradually become stale. In this regard, the judge made an analogy, "Instead of cleaning up the residue on the table one by one, it is better to overturn the table and start all over again."

2. How does a high-profile player step down from the altar?

As soon as the news of the change came out, the outside world was curious. Is there really no more high profile players in the world?

First, let’s briefly understand Alibaba High P. Alibaba’s internal career promotion system can be simply divided into P sequence (P5-P14) and M sequence (M1-M10). Among them, P represents the professional sequence, including technical positions such as programmers, products, operations, and marketing; M represents the management sequence, which mainly performs the responsibilities of the management team.

Picture source/network

Ali's original rank system form

[eigwayne]

I didn't have the wherewithal to start a new epic drama so no Nirvana in Fire this weekend so far, but I did finish The Moon Brightens for You. It's not a bad show, and a lot of parts were really enjoyable. Some things were done a little clumsily (the standing around and explaining everything was all according to keikaku Lin Fang's plan was a big offender), and the main character really did not need to start off so irritatingly stupid.

It scored a 3.25 on my scale- the same as The Longest Promise and the 2021 Demi-gods and Semi Devils, which fits I think.

[jcmarchi]

Exploring Google DeepMind’s New Gemini: What’s the Buzz All About?

New Post has been published on https://thedigitalinsider.com/exploring-google-deepminds-new-gemini-whats-the-buzz-all-about/

Exploring Google DeepMind’s New Gemini: What’s the Buzz All About?

In the world of Artificial Intelligence (AI), Google DeepMind’s recent creation, Gemini, is generating a buzz. This innovative development aims to tackle the intricate challenge of replicating human perception, particularly its ability to integrate various sensory inputs. Human perception, inherently multimodal, utilizes multiple channels simultaneously to understand the environment. Multimodal AI, drawing inspiration from this complexity, strives to integrate, comprehend, and reason about information from diverse sources, mirroring human-like perception capabilities.

The Complexity of Multimodal AI

While AI has made strides in handling individual sensory modes, achieving true multimodal AI remains a formidable challenge. Current methods involve training separate components for different modalities and stitching them together, but they often fall short in tasks requiring intricate and conceptual reasoning.

Emergence of Gemini

In the pursuit of replicating human multimodal perception, Google Gemini has emerged as a promising development. This creation offers a unique perspective into AI’s potential to decode the intricacies of human perception. Gemini takes a distinctive approach, being inherently multimodal and undergoing pre-training on various modalities. Through further fine-tuning with additional multimodal data, Gemini refines its effectiveness, showing promise in understanding and reasoning about diverse inputs.

What is Gemini?

Google Gemini, introduced on December 6, 2023, is a family of multimodal AI models developed by Alphabet’s Google DeepMind unit in collaboration with Google Research. Gemini 1.0 is designed to comprehend and generate content across a spectrum of data types, including text, audio, images, and video.

A standout feature of Gemini is its native multimodality, setting it apart from conventional multimodal AI models. This unique capability enables Gemini to seamlessly process and reason across diverse data types like audio, images, and text. Significantly, Gemini possesses cross-modal reasoning, allowing it to interpret handwritten notes, graphs, and diagrams for tackling complex problems. Its architecture supports the direct ingestion of text, images, audio waveforms, and video frames as interleaved sequences.

Family of Gemini

Gemini boasts a range of models tailored to specific use cases and deployment scenarios. The Ultra model, designed for highly intricate tasks, is expected to be accessible in early 2024. The Pro model prioritizes performance and scalability, suitable for robust platforms like Google Bard. In contrast, the Nano model is optimized for on-device utilization and comes in two versions—Nano-1 with 1.8 billion parameters and Nano-2 with 3.25 billion parameters. These Nano models seamlessly integrate into devices, including the Google Pixel 8 Pro smartphone.

Gemini Vs ChatGPT

According to company sources, researchers have extensively compared Gemini with ChatGPT variants where it has outperformed ChatGPT 3.5 in widespread testing. Gemini Ultra excels on 30 of 32 widely used benchmarks in large language model research. Scoring 90.0% on MMLU (massive multitask language understanding), Gemini Ultra surpasses human experts, showcasing its prowess in massive multitask language understanding. The MMLU consists of combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities. Trained to be multimodal, Gemini can process various media types, setting it apart in the competitive AI landscape.

Use Cases

The emergence of Gemini has given birth to a range of use cases some of which are as follows:

Advanced Multimodal Reasoning: Gemini excels in advanced multimodal reasoning, simultaneously recognizing and comprehending text, images, audio, and more. This comprehensive approach enhances its ability to grasp nuanced information and excel in explaining and reasoning, especially in complex subjects like mathematics and physics.

Computer Programming: Gemini excels in comprehending and generating high-quality computer programs across widely-used languages. It can also be used as the engine for more advanced coding systems, as demonstrated in solving competitive programming problems.

Medical Diagnostics Transformation: Gemini’s multimodal data processing capabilities could mark a shift in medical diagnostics, potentially enhancing decision-making processes by providing access to diverse data sources.

Transforming Financial Forecasting: Gemini reshapes financial forecasting by interpreting diverse data in financial reports and market trends, providing rapid insights for informed decision-making.

Challenges

While Google Gemini has made impressive strides in advancing multimodal AI, it faces certain challenges that require careful consideration. Due to its extensive data training, it’s essential to approach it cautiously to ensure responsible user data use, addressing privacy and copyright concerns. Potential biases in the training data also pose fairness issues, necessitating ethical testing before any public release to minimize such biases. Concerns also exist about the potential misuse of powerful AI models like Gemini for cyber attacks, highlighting the importance of responsible deployment and ongoing oversight in the dynamic AI landscape.

Future Development of Gemini

Google has affirmed its commitment to enhance Gemini, empowering it for future versions with advancements in planning and memory. Additionally, the company aims to expand the context window, enabling Gemini to process even more information and provide more nuanced responses. As we look forward to potential breakthroughs, the distinctive capabilities of Gemini offer promising prospects for the future of AI.

The Bottom Line

Google DeepMind’s Gemini signifies a paradigm shift in AI integration, surpassing traditional models. With native multimodality and cross-modal reasoning, Gemini excels in complex tasks. Despite challenges, its applications in advanced reasoning, programming, diagnostics, and finance forecast transformation highlight its potential. As Google commits to its future development, Gemini’s profound impact subtly reshapes the AI landscape, marking the beginning of a new era in multimodal capabilities.

[metamoonshots]

[ad_1] Embattled debt traders just like the look of 5% Treasury yields as they weigh the risk-versus-reward scales for the world’s greatest bond market. The rise in yields to ranges final seen earlier than the monetary disaster displays a run of stable information, with the US economic system rising final quarter on the quickest tempo since 2021. And a rising tide of Treasury debt issuance, in the meantime, has prompted the return of a optimistic threat premium for proudly owning longer-dated bonds. For all of the ache within the bond market — and a few merchants are betting there’s extra to come back — the notes look much more engaging to long-term patrons as soon as Treasury yields are operating at 5%-or-higher. These ranges nudge them nearer to the Federal Reserve’s present policy-rate ceiling of 5.5%, permitting patrons to lock in elevated earnings earlier than officers ultimately embark on any easing cycle.  “The arithmetic begins to maneuver in your favor after having been out of your favor for a really very long time,” mentioned Stephen Bartolini, a fixed-income portfolio supervisor at T. Rowe Value. “It takes quite a bit bigger improve now to wipe out complete return over a 12-month horizon since you’re getting yield.” Patrons emerged Thursday, spurring a drop of some 10 foundation factors throughout the Treasury curve as one other spherical of disappointing earnings brought about equities to slip. The ten-year yield was little modified at 4.85% on Friday in Asia, about 16 foundation factors beneath the 16-year excessive touched on Monday. Traders are in want of a silver lining as they nurse wounds from the worst selloff seen for Treasuries in additional than 4 a long time. The Bloomberg US Treasury Index has dropped since a string of regional financial institution failures fanned expectations of a credit score crunch and recession in early April. The yield on 10-year notes, meantime, has soared to above 5% this week from a 3.25% April low.  Amy Xie Patrick, head of earnings methods at Pendal Group in Sydney, mentioned she’s bullish on bonds given their present yields. There’s not a lot of a case for inflation and financial development to re-accelerate, indicating “that the ‘smooth touchdown’ is behind us,” she mentioned. Treasury fixed-rate coupons round 5% additionally present traders with the very best supply of bond earnings since 2007, serving to the debt to compete in opposition to payments and equities. Additionally they make a portfolio extra resilient in durations of tolerating market ache in threat belongings. Vanguard Asset Administration has been a latest purchaser of five- to 10-year Treasuries, mentioned Roger Hallam, international head of charges on the agency — with plans to “add extra if yields rise additional.” “At these ranges of yields your threat/reward is significantly better,” Hallam mentioned. The stomach of the yield curve — bonds maturing between 5 and 10 years — “will profit most within the preliminary phases of any financial weak point.” A good quirk of bond math is that higher-coupon bonds are much less delicate to cost adjustments, a dynamic often called length. Low-coupon bonds, in contrast, are way more delicate to costs, and the present bond rout dates from August 2020, when the 10-year yield was a paltry 0.5%. The benchmark yield subsequently elevated ten-fold, leaving traders nicely educated in regards to the adversarial influence of length. However that threat has been lowered as long-dated coupons settle within the 5% zip code, illustrated by the chance/reward profile of the $40 billion iShares 20+ Yr Treasury Bond ETF. Whereas the exchange-traded fund, identified by its ticker TLT, has slumped 50% from its 2020 peak, yields above 5% are attracting inflows. At present ranges, a long-end yield decline of 0.5% is predicted to ship a double digit worth acquire for the TLT, whereas a 50-basis level rise in yields would trigger a worth drop of solely round 1% over a 12 month interval. 

“If the 30-year rallies 100 foundation factors, you’re making 20%,” mentioned T. Rowe’s Bartolini. “And if the 5 12 months rallies 100 foundation factors, you’re making 4%.” Bartolini mentioned the agency prefers proudly owning Treasuries with a maturity of 5 years or much less because the Fed indicators it’s close to the height of its rate-hiking cycle. Even so, elevated Treasury provide might nonetheless shove 10- and 30-year yields larger because the market wants “to create an incentive for these bonds to be distributed and the motivation to make that occur is larger yields,” he mentioned. A renewed push to larger yields beckons over the approaching week, with central financial institution conferences on the calendar for the Fed and the Financial institution of Japan. Traders can even look ahead to the most recent US month-to-month employment report, together with a a lot anticipated replace from the Treasury about its quarterly borrowing wants.  “The normalization of the bond market is what we're seeing proper now,” mentioned Anthony Saglimbene, chief market strategist at Ameriprise Monetary. The agency is telling monetary advisers and purchasers to begin transferring their money into bonds because the Fed wraps up its tightening cycle and inflation ebbs. “The longer charges keep at these ranges the larger the refinancing stress for shoppers and small companies.” [ad_2]

[ailtrahq]

Convex Finance Overview Convex Finance Price Change 24h 1.22% Convex Finance Price Change 7d -4.87% Convex Finance Market cap $236,993,898.37 Convex Finance All time high $62.69 Convex Finance All time low $1.88 Convex Finance Price Prediction 7d $2.63 --7.39 Convex Finance Fear-Greed Index 50 Neutral Convex Finance Volatility 8.73% Convex Finance Green Days 15/30 (50%) Our real-time CVX to USD price update shows the current Convex Finance price as $2.8 USD. Our most recent Convex Finance price forecast indicates that its value will increase by 7.04% and reach $3.04 by October 10, 2023. Our technical indicators signal about the Bearish Bullish 28% market sentiment on Convex Finance, while the Fear & Greed Index is displaying a score of 50 (Neutral). Over the last 30 days, Convex Finance has had 15/30 (50%) green days and 8.73% price volatility. Convex Finance (CVX) Technical Overview When discussing future trading opportunities of digital assets, it is essential to pay attention to market sentiments. Convex Finance Profit Calculator Profit calculation please wait... Convex Finance (CVX) Price Prediction For Today, Tomorrow and Next 30 Days Date Price Change October 09, 2023$2.840%October 10, 2023$3.005.63%October 11, 2023$3.047.04%October 12, 2023$2.891.76%October 13, 2023$2.63-7.39%October 14, 2023$2.71-4.58%October 15, 2023$2.953.87%October 16, 2023$2.933.17%October 17, 2023$2.70-4.93%October 18, 2023$2.74-3.52%October 19, 2023$2.902.11%October 20, 2023$2.47-13.03%October 21, 2023$2.65-6.69%October 22, 2023$2.995.28%October 23, 2023$3.098.8%October 24, 2023$3.109.15%October 25, 2023$3.015.99%October 26, 2023$2.81-1.06%October 27, 2023$2.68-5.63%October 28, 2023$2.69-5.28%October 29, 2023$2.80-1.41%October 30, 2023$2.60-8.45%October 31, 2023$3.047.04%November 01, 2023$2.984.93%November 02, 2023$2.62-7.75%November 03, 2023$2.62-7.75%November 04, 2023$2.68-5.63%November 05, 2023$2.60-8.45%November 06, 2023$2.73-3.87%November 07, 2023$3.1310.21% Convex Finance Prediction Table 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 October $2.47 $2.79 $3.10 November $2.60 $2.90 $3.19 December $2.80 $2.97 $3.13 January $2.93 $3.17 $3.41 February $2.98 $3.21 $3.44 All Time $2.76 $3.01 $3.25 January $2.51 $3.44 $2.97 February $2.55 $3.69 $3.12 March $2.59 $3.94 $3.26 April $2.62 $4.19 $3.41 May $2.66 $4.44 $3.55 June $2.70 $4.69 $3.70 July $2.74 $4.93 $3.84 August $2.78 $5.18 $3.98 September $2.82 $5.43 $4.13 October $2.85 $5.68 $4.27 November $2.89 $5.93 $4.42 December $2.93 $6.18 $4.56 All Time $2.72 $4.81 $3.77 January $3.35 $6.35 $4.96 February $3.77 $6.52 $5.37 March $4.18 $6.69 $5.77 April $4.60 $6.86 $6.17 May $5.02 $7.03 $6.57 June $5.44 $7.20 $6.98 July $5.85 $7.37 $7.38 August $6.27 $7.54 $7.78 September $6.69 $7.71 $8.18 October $7.11 $7.88 $8.59 November $7.52 $8.05 $8.99 December $7.94 $8.22 $9.39 All Time $5.64 $7.29 $7.18 January $8.28 $8.56 $9.77 February $8.61 $8.90 $10.14 March $8.95 $9.24 $10.52 April $9.28 $9.58 $10.89 May $9.62 $9.92 $11.27 June $9.96 $10.26 $11.65 July $10.29 $10.60 $12.02 August $10.63 $10.94 $12.40 September $10.96 $11.28 $12.77 October $11.30 $11.62 $13.15 November $11.63 $11.96 $13.52 December $11.97 $12.30 $13.90 All Time $10.12 $10.43 $11.83 January $12.42 $12.78 $14.49 February $12.88 $13.26 $15.08 March $13.33 $13.74 $15.67 April $13.79 $14.21 $16.26 May $14.24 $14.69 $16.85 June $14.70 $15.17 $17.44 July $15.15 $15.65 $18.03 August $15.60 $16.13 $18.62 September $16.06 $16.61 $19.21 October $16.51 $17.08 $19.80 November $16.97 $17.56 $20.39 December $17.42 $18.04 $20.98 All Time $14.92 $15.41 $17.74 January $18.11 $18.74 $21.81 February $18.81 $19.45 $22.64 March $19.50 $20.15 $23.47 April $20.20 $20.85 $24.30 May $20.89 $21.55 $25.13 June $21.59

$22.26 $25.96 July $22.28 $22.96 $26.79 August $22.97 $23.66 $27.62 September $23.67 $24.36 $28.45 October $24.36 $25.07 $29.28 November $25.06 $25.77 $30.11 December $25.75 $26.47 $30.94 All Time $21.93 $22.61 $26.38 January $26.66 $27.41 $32.13 February $27.57 $28.35 $33.33 March $28.48 $29.28 $34.52 April $29.39 $30.22 $35.71 May $30.30 $31.16 $36.91 June $31.21 $32.10 $38.10 July $32.11 $33.03 $39.29 August $33.02 $33.97 $40.49 September $33.93 $34.91 $41.68 October $34.84 $35.85 $42.87 November $35.75 $36.78 $44.07 December $36.66 $37.72 $45.26 All Time $31.66 $32.56 $38.70 January $37.80 $38.93 $46.66 February $38.93 $40.13 $48.05 March $40.07 $41.34 $49.45 April $41.21 $42.54 $50.84 May $42.34 $43.75 $52.24 June $43.48 $44.96 $53.64 July $44.62 $46.16 $55.03 August $45.75 $47.37 $56.43 September $46.89 $48.57 $57.82 October $48.03 $49.78 $59.22 November $49.16 $50.98 $60.61 December $50.30 $52.19 $62.01 All Time $44.05 $45.56 $54.33 January $52.44 $54.35 $64.11 February $54.58 $56.50 $66.21 March $56.72 $58.66 $68.31 April $58.86 $60.82 $70.41 May $61 $62.97 $72.51 June $63.14 $65.13 $74.62 July $65.28 $67.29 $76.72 August $67.42 $69.44 $78.82 September $69.56 $71.60 $80.92 October $71.70 $73.76 $83.02 November $73.84 $75.91 $85.12 December $75.98 $78.07 $87.22 All Time $64.21 $66.21 $75.67 January $79.41 $81.59 $90.95 February $82.84 $85.10 $94.68 March $86.27 $88.62 $98.41 April $89.69 $92.13 $102.14 May $93.12 $95.65 $105.87 June $96.55 $99.16 $109.61 July $99.98 $102.68 $113.34 August $103.41 $106.19 $117.07 September $106.84 $109.71 $120.80 October $110.26 $113.22 $124.53 November $113.69 $116.74 $128.26 December $117.12 $120.25 $131.99 All Time $98.26 $100.92 $111.47 Choose a year 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 Convex Finance Historical According to the latest data gathered, the current price of Convex Finance is $$2.81, and CVX is presently ranked No. 115 in the entire crypto ecosystem. The circulation supply of Convex Finance is $227,703,319.01, with a market cap of 80,966,317 CVX. In the past 24 hours, the crypto has increased by $0.05 in its current value. For the last 7 days, CVX has been in a good upward trend, thus increasing by 9.88%. Convex Finance has shown very strong potential lately, and this could be a good opportunity to dig right in and invest. During the last month, the price of CVX has increased by 10%, adding a colossal average amount of $0.28 to its current value. This sudden growth means that the coin can become a solid asset now if it continues to grow. Convex Finance Price Prediction 2023 According to the technical analysis of Convex Finance prices expected in 2023, the minimum cost of Convex Finance will be $$2.47. The maximum level that the CVX price can reach is $$2.83. The average trading price is expected around $$3.19. CVX Price Forecast for October 2023 Based on the price fluctuations of Convex Finance at the beginning of 2023, crypto experts expect the average CVX rate of $$2.79 in October 2023. Its minimum and maximum prices can be expected at $$2.47 and at $$3.10, respectively. November 2023: Convex Finance Price Forecast Cryptocurrency experts are ready to announce their forecast for the CVX price in November 2023. The minimum trading cost might be $$2.60, while the maximum might reach $$3.19 during this month. On average, it is expected that the value of Convex Finance might be around $$2.90. CVX Price Forecast for December 2023 Crypto analysts have checked the price fluctuations of Convex Finance in 2023 and in previous years, so the average CVX rate they predict might be around $$2.97 in December 2023. It can drop to $$2.80 as a minimum. The maximum value might be $$3.13. January 2024: Convex Finance Price Forecast In the middle of the year 2023, the CVX price will be traded at $$3.

17 on average. January 2024 might also witness an increase in the Convex Finance value to $$3.41. It is assumed that the price will not drop lower than $$2.93 in January 2024. CVX Price Forecast for February 2024 Crypto experts have analyzed Convex Finance prices in 2023, so they are ready to provide their estimated trading average for February 2024 — $$3.21. The lowest and peak CVX rates might be $$2.98 and $$3.44. Convex Finance Price Prediction 2024 After the analysis of the prices of Convex Finance in previous years, it is assumed that in 2024, the minimum price of Convex Finance will be around $$2.93. The maximum expected CVX price may be around $$4.56. On average, the trading price might be $$6.18 in 2024. Month Minimum Price Average Price Maximum Price January 2024 $2.51 $3.44 $2.97 February 2024 $2.55 $3.69 $3.12 March 2024 $2.59 $3.94 $3.26 April 2024 $2.62 $4.19 $3.41 May 2024 $2.66 $4.44 $3.55 June 2024 $2.70 $4.69 $3.70 July 2024 $2.74 $4.93 $3.84 August 2024 $2.78 $5.18 $3.98 September 2024 $2.82 $5.43 $4.13 October 2024 $2.85 $5.68 $4.27 November 2024 $2.89 $5.93 $4.42 December 2024 $2.93 $6.18 $4.56 Convex Finance Price Prediction 2025 Based on the technical analysis by cryptocurrency experts regarding the prices of Convex Finance, in 2025, CVX is expected to have the following minimum and maximum prices: about $$7.94 and $$9.39, respectively. The average expected trading cost is $$8.22. Month Minimum Price Average Price Maximum Price January 2025 $3.35 $6.35 $4.96 February 2025 $3.77 $6.52 $5.37 March 2025 $4.18 $6.69 $5.77 April 2025 $4.60 $6.86 $6.17 May 2025 $5.02 $7.03 $6.57 June 2025 $5.44 $7.20 $6.98 July 2025 $5.85 $7.37 $7.38 August 2025 $6.27 $7.54 $7.78 September 2025 $6.69 $7.71 $8.18 October 2025 $7.11 $7.88 $8.59 November 2025 $7.52 $8.05 $8.99 December 2025 $7.94 $8.22 $9.39 Convex Finance Price Prediction 2026 The experts in the field of cryptocurrency have analyzed the prices of Convex Finance and their fluctuations during the previous years. It is assumed that in 2026, the minimum CVX price might drop to $$11.97, while its maximum can reach $$13.90. On average, the trading cost will be around $$12.30. Month Minimum Price Average Price Maximum Price January 2026 $8.28 $8.56 $9.77 February 2026 $8.61 $8.90 $10.14 March 2026 $8.95 $9.24 $10.52 April 2026 $9.28 $9.58 $10.89 May 2026 $9.62 $9.92 $11.27 June 2026 $9.96 $10.26 $11.65 July 2026 $10.29 $10.60 $12.02 August 2026 $10.63 $10.94 $12.40 September 2026 $10.96 $11.28 $12.77 October 2026 $11.30 $11.62 $13.15 November 2026 $11.63 $11.96 $13.52 December 2026 $11.97 $12.30 $13.90 Convex Finance Price Prediction 2027 Based on the analysis of the costs of Convex Finance by crypto experts, the following maximum and minimum CVX prices are expected in 2027: $$20.98 and $$17.42. On average, it will be traded at $$18.04. Month Minimum Price Average Price Maximum Price January 2027 $12.42 $12.78 $14.49 February 2027 $12.88 $13.26 $15.08 March 2027 $13.33 $13.74 $15.67 April 2027 $13.79 $14.21 $16.26 May 2027 $14.24 $14.69 $16.85 June 2027 $14.70 $15.17 $17.44 July 2027 $15.15 $15.65 $18.03 August 2027 $15.60 $16.13 $18.62 September 2027 $16.06 $16.61 $19.21 October 2027 $16.51 $17.08 $19.80 November 2027 $16.97 $17.56 $20.39 December 2027 $17.42 $18.04 $20.98 Convex Finance Price Prediction 2028 Crypto experts are constantly analyzing the fluctuations of Convex Finance. Based on their predictions, the estimated average CVX price will be around $$26.47. It might drop to a minimum of $$25.75, but it still might reach $$30.94 throughout 2028. Month Minimum Price Average Price Maximum Price January 2028 $18.11 $18.74 $21.81 February 2028 $18.81 $19.45 $22.64 March 2028 $19.50 $20.15 $23.47 April 2028 $20.20 $20.85 $24.30 May 2028 $20.89 $21.55 $25.13 June 2028 $21.59 $22.26 $25.96 July 2028 $22.28 $22.96 $26.79 August 2028 $22.97 $23.66 $27.62 September 2028 $23.67 $24.36 $28.45 October 2028

$24.36 $25.07 $29.28 November 2028 $25.06 $25.77 $30.11 December 2028 $25.75 $26.47 $30.94 Convex Finance Price Prediction 2029 Every year, cryptocurrency experts prepare forecasts for the price of Convex Finance. It is estimated that CVX will be traded between $$36.66 and $$45.26 in 2029. Its average cost is expected at around $$37.72 during the year. Month Minimum Price Average Price Maximum Price January 2029 $26.66 $27.41 $32.13 February 2029 $27.57 $28.35 $33.33 March 2029 $28.48 $29.28 $34.52 April 2029 $29.39 $30.22 $35.71 May 2029 $30.30 $31.16 $36.91 June 2029 $31.21 $32.10 $38.10 July 2029 $32.11 $33.03 $39.29 August 2029 $33.02 $33.97 $40.49 September 2029 $33.93 $34.91 $41.68 October 2029 $34.84 $35.85 $42.87 November 2029 $35.75 $36.78 $44.07 December 2029 $36.66 $37.72 $45.26 Convex Finance Price Prediction 2030 Cryptocurrency analysts are ready to announce their estimations of the Convex Finance’s price. The year 2030 will be determined by the maximum CVX price of $$62.01. However, its rate might drop to around $$50.30. So, the expected average trading price is $$52.19. Month Minimum Price Average Price Maximum Price January 2030 $37.80 $38.93 $46.66 February 2030 $38.93 $40.13 $48.05 March 2030 $40.07 $41.34 $49.45 April 2030 $41.21 $42.54 $50.84 May 2030 $42.34 $43.75 $52.24 June 2030 $43.48 $44.96 $53.64 July 2030 $44.62 $46.16 $55.03 August 2030 $45.75 $47.37 $56.43 September 2030 $46.89 $48.57 $57.82 October 2030 $48.03 $49.78 $59.22 November 2030 $49.16 $50.98 $60.61 December 2030 $50.30 $52.19 $62.01 Convex Finance Price Prediction 2031 After years of analysis of the Convex Finance price, crypto experts are ready to provide their CVX cost estimation for 2031. It will be traded for at least $$75.98, with the possible maximum peaks at $$87.22. Therefore, on average, you can expect the CVX price to be around $$78.07 in 2031. Month Minimum Price Average Price Maximum Price January 2031 $52.44 $54.35 $64.11 February 2031 $54.58 $56.50 $66.21 March 2031 $56.72 $58.66 $68.31 April 2031 $58.86 $60.82 $70.41 May 2031 $61 $62.97 $72.51 June 2031 $63.14 $65.13 $74.62 July 2031 $65.28 $67.29 $76.72 August 2031 $67.42 $69.44 $78.82 September 2031 $69.56 $71.60 $80.92 October 2031 $71.70 $73.76 $83.02 November 2031 $73.84 $75.91 $85.12 December 2031 $75.98 $78.07 $87.22 Convex Finance Price Prediction 2032 Cryptocurrency analysts are ready to announce their estimations of the Convex Finance’s price. The year 2032 will be determined by the maximum CVX price of $$131.99. However, its rate might drop to around $$117.12. So, the expected average trading price is $$120.25. Month Minimum Price Average Price Maximum Price January 2032 $79.41 $81.59 $90.95 February 2032 $82.84 $85.10 $94.68 March 2032 $86.27 $88.62 $98.41 April 2032 $89.69 $92.13 $102.14 May 2032 $93.12 $95.65 $105.87 June 2032 $96.55 $99.16 $109.61 July 2032 $99.98 $102.68 $113.34 August 2032 $103.41 $106.19 $117.07 September 2032 $106.84 $109.71 $120.80 October 2032 $110.26 $113.22 $124.53 November 2032 $113.69 $116.74 $128.26 December 2032 $117.12 $120.25 $131.99 FAQ Convex Finance price now  As of now, Convex Finance (CVX) price is $2.80 with Convex Finance market capitalization of $227,084,097.63. Is Convex Finance a good investment? Considering current bearish trend in Convex Finance price movements, it is expected the cryptocurrency will continue meeting price decline. Please, invest wisely and don’t forget to DYOR when investing in any type of asset. Can Convex Finance rise?  It seems that the average price of Convex Finance might reach $3.86 in the end of the year. In five-year plan perspective, the cryptocurrency could probably rise up to $18.04. Due to price fluctuations on the market, please always do your research before invest money in any project, network, asset, etc. How much will Convex Finance be worth 2023? CVX minimum and maximum prices might hit $3.73 and $4.06 accordingly. How much will Convex Finance be worth 2025?

Convex Finance network is developing rapidly. CVX price forecast for 2025 is rather positive. The CVX average price is expected to reach minimum and maximum prices of $7.94 and $9.39 respectively. How much will Convex Finance be worth 2030? CVX is provided with suitable environment to reach new heights in terms of price. CVX price prediction is quite positive. Business analysts predict that CVX might reach the maximum price of $62.00 by 2030. Please take into account that none of the data provided above is neither fundamental analysis nor investment advice. None of the information provided is $52.18