temple8

Straddling the realms of Neo-Progressive & Progressive Metal. Exciting, Progressive Rock/Metal full of chunky, driving riffs, melodic chords, & open spa

[temple8 @temple8]

@ThatEricAlper Michael Jackson & Glam Bands

[Angst the Pale @AngstPale90843]

“SOMETIMES REASONABLE MEN MUST DO UNREASONABLE THINGS.”
— Marvin Heemeyer

[Jeffrey A Tucker @jeffreytucker]

The world today is filled with people begging you to borrow, not because it is in your best interest but because it is the lender’s interest. If at all possible, avoid taking this bait, get out of debt, and find your path to financial freedom.

Sick of Being Bugged to Borrow? https://t.co/rDv8Ia6U6a via @epochtimes

[Scott Horton @scotthortonshow]

Books about things:

[X Freeze @XFreeze]

SpaceX’s literally destroyed the cost to orbit so much even you can afford the ticket to ride on it in the future

- For decades, launch cost to low Earth orbit was roughly $18,500 per kg

- Falcon 9 brought that down to around $2,700 per kg
- Falcon Heavy pushed it closer to $1,400 per kg

➝ Now Starship is targeting a 99%+ cost reduction

When the cost of reaching orbit falls by orders of magnitude, space stops being a rare government program and starts becoming industrial infrastructure

Starlink, orbital manufacturing, lunar cargo, AI compute, and Mars all depend on one thing:

getting cost to orbit as close to zero as possible

That is why Starship matters so much....It is not just a bigger rocket

It is the cost reset that opens the next economic frontier

[temple8 @temple8]

@tomselliott Even documented ones are referred to as aliens. The only difference is that the documented one has a legal status of resident alien. The undocumented one is technically a non-resident alien, from a legal perspective despite actually being in the country.

[temple8 @temple8]

@ThatEricAlper "At the tone, the time will be: One Fifty-one. Exactly." [ beep! ]

[Toby Rogers @uTobian]

The pattern with this administration is that they:
1. Put the health reformers in charge of the crime scene.
2. Block the health reformers from actually fixing the system.
3. Leave the health reformers holding the bag and thus launder the crimes of the regime.
It's diabolical.

[Scott Adams @ScottAdamsSays]

Dilbert 10 Years Ago

[temple8 @temple8]

@ThatEricAlper You're seriously trying to get a rise out of the Rush fans who bought tix for the 50 Something Tour, aren't ya?

[Elon Musk @elonmusk]

Release the footage, you evil bastards!

[Glenn Greenwald @ggreenwald]

The 22-minute monologue that begins this show offers clear, compelling proof that Israel committed genocide in Gaza.

It's then followed by a harrowing interview with Dr. Maynard and the atrocities he saw in Gaza.

Anyone denying the value of this is either a fraud who doesn't believe what they say about the Israeli/US genocide, or is very dumb, or both.

[Bruno Sardine @BrunoSardineX]

One of the funniest bits I’ve ever heard
@LandauDave

https://t.co/g3C3msFf9e

[temple8 @temple8]

@grok Who was the alleged mastermind behind the somali day care fraud

[temple8 @temple8]

@ThatEricAlper Missed our flight to Las Vegas and had to drive 29 hours straight to see Rush.

[Ash Crypto @AshCrypto]

Crypto after Trump became the first pro-crypto president in US history.

[Phil Gordon @PhilGordonDC]

The fact that so many proponents of the Iran war are criticizing Trump’s looming deal is less an indictment of the deal than it is of the war. It means they can't defend the results of the policy they advocated for so long so are reduced to claiming that victory would have been around the corner if only Trump had stayed the course... (which only they seem to believe). They are right that the deal will leave the US worse off than before the war but fail to recognize, or at least refuse to admit, that the mistake was the war, not the deal.

[Sheri Geddygirl Beri @Sheri_Beri_2112]

She Turned Old Lampshades Into Glowing Cement Garden Sculptures ✨ https://t.co/Q6O08MrRhK via @YouTube

[Arnaud Bertrand @RnaudBertrand]

So I spent some time studying the new Twitter/X algorithm today since the latest version was published about a week ago on Github (https://t.co/3jzdav3Ywp).

My goal was to answer why so many people have seemingly seen such a dramatic drop in their posts' reach.

The first answer, which is actually somewhat unrelated to the ranking algorithm on Github, is the auto-translate feature, rolled out worldwide on April 7, 2026 (https://t.co/YtGomG9RGz).

Before that date, if you wrote in English about, say, the Trump-Xi Beijing summit, you were competing for attention with maybe 5,000 other English-language accounts writing on geopolitics.

After that date, your post is competing for attention with other posts on the same topic IN EVERY LANGUAGE ON EARTH. For some topics that do command global attention like geopolitics, that's a very brutal multiplier: you used to be one of 5,000, you're suddenly one of 50,000 (something of that order): MUCH more difficult to stand out.

Secondly, the number of followers you have matters far less than it used to: each post now has to earn its audience reader by reader, on the predicted engagement of the post, and how its topic matches what each reader has recently been engaging with.

Here is how the algorithm works, in simple terms: when you, as a reader, open your feed, the algorithm doesn't load "posts from accounts you follow." Instead it runs a 2-stage prediction of what posts you're likely to engage with in that very moment.

The first stage is the retrieval stage. The system narrows billions of posts on X/Twitter that day down to roughly 1,500 candidates by matching the semantic content of each post - what it's about - against what you as a reader have recently engaged with. Some candidate posts come from accounts you follow; others are pulled from across the platform by pure topic similarity to your recent interests.

You can test this retrieval stage easily: start disproportionally engaging with - say - Brad Pitt videos and you'll bit by bit see your timeline flooded with Brad Pitt content, most of it from accounts you've never followed and never heard of.

Then there's the ranking stage. Each of these candidate posts for your feed is fed through a Grok-based model that tries to understand if you'll engage with the post.

It looks at 15 engagement metrics:
1) P(favorite) — the reader likes the post
2) P(reply) — the reader replies to it
3) P(repost) — the reader reposts it
4) P(quote) — the reader quote-tweets it
5) P(click) — the reader clicks a link in it
6) P(profile_click) — the reader taps through to your profile
7) P(video_view) — the reader watches the video
8) P(photo_expand) — the reader expands an image
9) P(share) — the reader shares it (DM, off-platform, etc.)
10) P(dwell) — the reader stops scrolling and lingers on the post
11) P(follow_author) — the reader follows you after seeing it
12) P(not_interested) — the reader marks "not interested"
13) P(block_author) — the reader blocks you
14) P(mute_author) — the reader mutes you
15) P(report) — the reader reports the post

Fifteen predicted actions, each multiplied by a weight, summed: that sum is the score that determines in which priority a post will be seen among other candidates.

Please note that posting something with a video or an image can give your post an advantage as 2 actions are specifically for these: video_view and photo_expand. No video or photo and you don't get a score for these. Also, naturally, having a video maximizes the chance that a user will "dwell" on your post to watch it.

Also note that 4 of these actions carry negative weights (not_interested, block_author, mute_author and report): meaning that if the model expects a post to generate a lot of negativity, it'll get de-boosted quite dramatically.

But note, first and foremost, what's NOT in there: none of the things that, naively, one might think a serious information platform would weigh. There is no P(this post is true and well-sourced). No P(the author actually knows what they're talking about). No P(this person has spent a decade building a body of work that has held up). No P(this account has earned the right to be taken seriously on this topic). No P(the author has a large following from credible people). The model does not seem to care - at all - about any of that.

Every post starts from zero. You could have ten years of rigorous, well-sourced analysis behind you - or you could be just an uneducated rando who registered yesterday. To this algorithm, you're both just a bag of engagement probabilities.

Now, sure, to be fair, there is a "brand" effect that's not covered by the algorithm: someone who has in fact built a brand will naturally have better engagement metrics because people recognize their account. But that's an indirect, second-order effect. And crucially, it's legacy: those "brands" were built under earlier versions of the algorithm that gave followers and reputation more weight.

Lastly, several other features of the new algorithm compound the dilution, none of them visible from outside but all consequential.

The May 15 update added an "impression bloom filter," tightening the rule that once a reader has been served a post, the system won't serve it to them again. Before, a strong post could marinate in someone's feed across multiple refreshes and accumulate engagement on the second or third pass. Now it basically gets one shot.

Also, your own posts compete with each other. An "Author Diversity Scorer" inside the ranking stage attenuates the score of every subsequent post of yours that ends up in a reader's candidate pool. In plain terms: if multiple of your posts land in a reader's candidate pool, the system shows one at full strength and dampens the others. So don't post several times consecutively on the same topic.

And, last but not least, another huge impact on reach is that, in the old algorithm, when someone reposted or quote-tweeted you, your post was broadcast to their followers' timelines - a repost from an account with 100,000 followers was a huge boost.

In the new algorithm, that mechanism is vastly demoted: reposts - like every post - need to go through the retrieval and ranking stage mentioned above, so a repost from a big account is a long way from the boost it used to be.

This is especially brutal for low-effort quote tweets, which used to function as cheap amplification: now they often can't even clear the retrieval stage - they simply don't contain enough novel semantic content for the system to match them to anyone's interests.

So, putting it all together, the reach collapse comes from many forces stacking at once:
- Auto-translate makes your posts compete for attention against an order of magnitude more content
- The retrieval stage matches posts by topic, not by who follows you
- The ranking stage scores purely on predicted engagement with no weight for credibility, expertise, or track record
- The bloom filter narrows every post's window to one strong shot
- The diversity scorer penalizes prolific posting
- Reposts no longer carry much distribution power

Each of these alone would dent your reach. Combined, they amount to a complete reset: your audience that you built painstakingly over years basically doesn't matter much anymore, and it's much - much - harder to stand out even if you're a big account.

People structurally rewarded by this algorithm are folks who:
- Post visually (videos/images)
- Post on globally popular topics because they clear the retrieval stage easily
- Provoke strong emotional reactions - likes, replies, reposts
- Don't care about accuracy or seriousness because the algorithm doesn't measure it
- Don't care about their existing audience because every post is judged in isolation anyway

In short this new algorithm, like so many on social media, is all about maximizing whether people will engage with something - not about whether they should.