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ID

Max Spero ✓

@max_spero_ · brooklyn · joined 25 Jan 2023

slop janitor @pangram

12 478Followers
1 704Following
9 876Posts total
2.7MViews on collected posts

Postingan terbaru

@max_spero_ IME, the main purpose of code review was bi-directional knowledge transfer. 1. Someone else had seen the code ever at all so when you went on PTO they had seen it. 2. Sometimes they would have context you did not and would give you that context resulting in chang 1.6K views · 21 likes · 1 reposts · 1 replies Open on X →
@max_spero_ very much agreed. it’s unfortunate that ai disincentivizes actually understanding your code 363 views · 21 likes · 0 reposts · 0 replies Open on X →
@max_spero_ ai code and human code should probably be demarcated in production. For structural code you want to make sure that a human wrote it and hence really thought about it, so you auto reject at code review if it’s ai generated. 412 views · 12 likes · 0 reposts · 2 replies Open on X →
I'm really worried about the shift in code review over the last year. I don't think I would have gained the software engineering skills I have today without being pushed to be extremely critical about every line of code I wrote. It feels like now, so much code is produced by 121.3K views · 643 likes · 21 reposts · 43 replies Open on X →
One very interesting thing about code reviews starting to fade in many places: I still remember how, as a manager, code reviews would be one of the places where conflict between individuals or teams would be very EASY to spot for me, as a manager (then figure out how to deal 138.9K views · 910 likes · 28 reposts · 126 replies Open on X →
https://t.co/WbpBV1Itcf 28.4K views · 179 likes · 0 reposts · 8 replies Open on X →
Hi guys. Please don’t dogpile any journalists over the recent Pangram piece. It’s all in good fun on Twitter but in reality I’m not upset and everything written about in the piece actually happened 83.2K views · 834 likes · 11 reposts · 25 replies Open on X →
I loved reading magazines in the early 2010s. My dad had subscriptions to WIRED and Bloomberg Businessweek, both of which I read religiously - cover to cover. Truly formative media for a young mind interested in technology and business! 6.7K views · 198 likes · 1 reposts · 10 replies Open on X →
@max_spero_ It's too late, I have already depicted you as the gentle burper and myself as the critical AI theorist 25K views · 979 likes · 4 reposts · 3 replies Open on X →
Talking with journalists is cool because you have to make sure you never say anything that could be twisted or taken out of context. But if you take a couple seconds to think about a question, they can just write about you as if you're the most awkward person alive https://t.co/ 1M views · 9.6K likes · 231 reposts · 322 replies Open on X →
I can’t imagine that our legal system accepts PDF esignature for much longer when this is possible 306.8K views · 12.2K likes · 337 reposts · 93 replies Open on X →
the future is crazy https://t.co/4mKSTyENvW 426.2K views · 818 likes · 12 reposts · 23 replies Open on X →
This is our most ambitious announcement yet. Two new models: Pangram 4 and Pangram Image. Pangram 4 completely reimagines how we approach the problem of mixed authorship, by adding a tokenwise head onto the classifier to give every token a prediction given the full document 169K views · 1.1K likes · 81 reposts · 60 replies Open on X →
@max_spero_ This person’s last name is Vetter. Nominative determinists are in shambles rn 135 views · 0 likes · 0 reposts · 0 replies Open on X →
@max_spero_ @JOEBOTxyz Will be funny when they try to sue the labs for violating their copyright for training their models on their fishwrap slop / content. https://t.co/azEvtvBc3M 998 views · 9 likes · 0 reposts · 0 replies Open on X →
@max_spero_ @NatPurser Insane torching of goodwill…and for what exactly 1.1K views · 10 likes · 0 reposts · 0 replies Open on X →
A major US newspaper publisher is rolling out an AI-generated content farm that will use the bylines of real reporters without their consent. https://t.co/gDpmcVRQJr 383.7K views · 1.1K likes · 453 reposts · 20 replies Open on X →

Dibandingkan akun berukuran sama

13 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan83 187akun ini924median untuk 10K–100K
Jangkauan, %666.67%akun ini3.62%median untuk 10K–100K
Interaksi, %1.05%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan83 18792490.0×
Jangkauan (tayangan ÷ pengikut)6.7× audience3.62%184×
Tingkat interaksi1.05%1.52%0.69×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

13523 Apr
169K29 Jul
426.2K31 Aug
306.8K1 Sep
1M3 Sep
25K
6.7K
83.2K
28.4K
138.9K8 Sep
121.3K9 Sep
412
363
1.6K

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.00%23 Apr
0.75%29 Jul
0.21%31 Aug
4.13%1 Sep
1.02%3 Sep
3.95%
3.14%
1.06%
0.66%
0.77%8 Sep
0.58%9 Sep
3.40%
5.79%
1.45%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes87.9%28 654 in total
Reposts3.6%1 180 in total
Replies2.3%736 in total
Quotes0.8%256 in total
Bookmarks5.4%1 756 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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