Cocomero

@RnaudBertrand @rodsAIaccount Yeah Arnaud🚀…how did you get so smart anyway? 🤔😂

@rodsAIaccount 🙏

So I spent some time studying the new Twitter/X algorithm today since the latest version was published about a week ago on Github (#updates--may-15th-2026" target="_blank" rel="nofollow noopener">github.com/xai-org/x-algo…). 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 (x.com/nikitabier/sta…). 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.

@elivieira @DoubleEph @RnaudBertrand @charlesarthur Suggesting he should migrate from the UK to Chynaa?

@DoubleEph @RnaudBertrand @charlesarthur That's not an impressive innovation. And why would you be fond of a dictatorship in the first place?

@Kathleen_Tyson_ @RnaudBertrand @Frances_Coppola Gunks self-censor & “playful nudging” was already giveaway of what the future held🦮 ur data belong to ours 🤖

@RnaudBertrand @Frances_Coppola Thanks for putting in the effort on this. It explains so much about why I’ve felt less interested in X lately.

Perfect illustration of the type of content that does millions of views on X these days (this was top of my timeline for some reason: Spanish post from random account about fat guy cheating at swimming competition) 👇 x.com/i/status/20582…

@RnaudBertrand Sounds like the perfect human-behaviour & data “engineering” experiment 🤡🙄

Retaliation Strikes

💥, 💥, 💥, 💥, …

@YouknowTheguy3 @qwest__ (And the glazer 💪🏼)

@qwest__ Props to whoever made that hinge

в Києві чоловік зняв прильот ракети майже поруч із собою...

@qwest__ Not oreshnik ..too slow

здається, це той же самий прильот, але з іншого ракурсу

Want to hear the sound of a hypersonic missile? Sound on @ 20 seconds

@bloombergblower Reverse-trolling the Zedlensky elite via the drainpipe…genial!! 🐀🐀

‼️BREAKING || WHAT ORESHNIK HIT IN KYIV? RUSSIA'S NIGHT RAID SMASHES THROUGH UKRAINE DEFENCE BELT Kyiv -- The question after the night of fire is not just what Russia fired. It is what Russia was hitting and breaking. The answer is forming through smoke, blast clips and early target logs: Kyiv's defence-industrial rear, logistics centres, aviation repair chain, energy nodes, warehouses, airbases and transport arteries, Army HQ, SBU, and ... Zelesky's lair's indoor toilets were hit. It was a layered storm. Kh-101's came from Tu-95MS bombers. Kalibrs came from the Black Sea. Iskanders came out of Bryansk, Kursk, Voronezh and Crimea. Kinzhals were launched from MiG-31Ks. Zircons were reported from Crimea. Geran drones thickened the sky. And in Kyiv, the night carried the heaviest hit -- Oreshnik, with Bila Tserkva Airfield named as the likely point of the shock. Kyiv took the main blow. The target list reads like a map of the capital's wartime machinery and DIY drone printing disaster: the Artem defence plant, industrial assets in Darnytskyi, factories in Podilskyi, Solomianskyi, Shevchenkivskyi and Sviatoshynskyi, warehouses and logistics centres all around the city. Among the named hits were the Podilskyi SBU office, the area near the ship repair depot, the former Radical chemical plant, the Analitprylad plant, the former Rele i Avtomatyky plant, Lagoda Business Park, the ATB warehouse in Sviatopetrivske and the Chaika logistics centre. Russia has gone after the back room of the war -- not the trench, but the places that feed it. And the EU channeled its desperate outcry about it through infamously daft Kaja Kallas. Then came the wider belt. Bila Tserkva was named in strike channels as a key target, with hits around the aviation repair and cargo aviation complex, energy infrastructure and railroad hubs. That is where the Oreshnik entered the night. Starokostiantyniv was hit again -- the airbase Ukraine and the West have long treated as part of the F-16 home bases. Kropyvnytskyi and possibly the Kanatove airbase area were named in reports of explosions and logistics strikes. Zhytomyr, Bila Tserkva, Poltava, Kremenchuk, Odesa, Cherkasy, Kryvyi Rih and Dnipro -- all appeared in the wider strike picture -- energy, fuel, ports, airfields, warehouses and drone-assembly sites were struck. The Ukrainian Army HQ was hit in Kyiv. It is all hard aftermath. A pale official-looking building sits ripped open behind bare trees. Windows are gone. The facade is chewed out. Rubble lies across the ground. Small fires burn inside the wreckage while men move through the blast-scattered courtyard. And then there is the most toxic feces-clad claim of the night: the Bortnytsia aeration station -- Kyiv's vast wastewater-sewage plant -- was badly damaged. That is not a small target. That is a city’s underbelly of indoor toilets damaged. The video of the four minutes of Kyiv being hit exploded on X. A dark skyline. A sudden white-orange flash behind the high-rises. Then smoke -- black, thick, climbing. Another flash. Another detonation. Fire at the base of the cityscape, smoke rolling up into the dawn. The camera holds long enough for the rhythm to become clear: blast, smoke, pause, blast again. By sunrise, Kyiv is no longer asleep. It is standing bare, burned, defeated and ashamed under a black roof. The sun comes up huge and orange through the haze, making the capital look less like a city counting what was taken from it in the dark. The night has ended and what we know now: Kyiv’s defence plants were destroyed. Its logistics yards and warehouses were hit. Its command and security sites were hit. Its aviation-repair chain and airbase network was hit. Its energy and transport nodes were hit. And, ironically, Zelensky's indoor toilet -- Kyiv's most basic civic feces organ is gone.

@georgevanhouts @HeusdenArie Aanstichter ; Theodore Herzl. Neo-Zionisten hebben een berg inmiddels na hem genoemd in Jerusalem. *follow the zionists

Dit hele gedoe is begonnen op 29-31 augustus 1897 bij het Eerste Zionistische Congres in Basel. Het Zionisme is geen religie maar een politiek project om een thuisland voor de Joden na te streven. Alle middelen waren geheiligd: van de Balfour Declaration, via samenwerking met de Nazi's tot de talloze terroristische aanslagen overal in het Midden-Oosten van het opblazen van het King David Hotel (verkleed als Arabieren), 93 doden, de Nakbah: 750.000 verdreven Palestijnen en duizenden vermoord tot de Lavon-affaire 1956 met aanslagen in Egypte waarvan de Muslim Brotherhood de schuld moest krijgen tot aan de 9/11 aanslagen die ervoor moesten zorgen dat Het Westen de moslim als vijand en bedreiging moesten gaan zien om vervolgens Israël's oorlogen te gaan voeren in Afghanistan, Irak, Lybië, Soedan, Jemen, Syrië en tot slot Iran.

Denk je eens in dat Hamas een konvooi aanvalt op open zee met ongewapende mensen in zeilboten die de Israëlische gijzelaars van voedselhulp wilden voorzien, deze mensen zou gevangen nemen en in een hangar tot het bot zou vernederen en mishandelen en dwingen tot het continue luisteren naar Hamas strijdliederen en dit alles vrolijk filmen ...denk je gewoon eens in.

@HeusdenArie @georgevanhouts Hij heeft tenminste iets te verkopen. Nietsnuts. 🦮

@georgevanhouts U gebruikt veel woorden om te verhullen dat u een ouderwetse antisemiet is, ouwe koffie verkoper

@VinceFr65329065 @IslanderWORLD Nato’s Kiev HQ?? oh snap. 😂

@IslanderWORLD What are you talking about. It was NATOs main headquarters!

🇷🇺🇺🇦 That rubble used to be the headquarters of Ukraine's Land Forces Command. The building next to it — the Support Forces Command — heavily damaged in the same strike. Two of Ukraine's most senior military nerve centres, gone in one night. Areas of Kiev looking post apocalypse. Here's the contrast that needs to be hammered home. Russia took a strike to the chest this week — a dormitory full of students, 20 dead, the kind of image that breaks something in you. Ukraine hit a civilian building as it has done countless times before. Russia hit the command structure of a military at war. One side is targeting kids in beds. The other is targeting the generals directing the war against it. That distinction matters even when western client media works overtime to erase it. The Land Forces Command coordinated every ground operation against Russian forces. It doesn't anymore.

@OopsGuess The “West”; Chynaa bad!! 🤪🤡

Microsoft reportedly can’t afford Claude Code at scale. Uber burned through its entire 2026 AI budget in four months. Meanwhile, DeepSeek just made a 75% price cut permanent. This is the funniest split screen in AI right now: Western AI: “Intelligence will replace workers.” Also Western AI: “Actually, the tool costs more than the workers.” Chinese AI: “Here, have cheaper tokens.” No wonder people online are calling Liang Wenfeng “Daddy Liang.” When even Microsoft and Uber get subscription anxiety, imagine ordinary users. The West wanted AI to be a luxury meter running in the background. China looked at it and said: No. Make it cheaper. Make it usable. Make it infrastructure. That’s why they panic. Because once intelligence becomes affordable, the priesthood loses its business model.

HE KNEW THE DOSSIER WAS FAKE. WEEKS LATER HE WAS DEAD IN A FIELD Dr David Kelly was Britain's foremost weapons inspector. He spent years inspecting Iraqi facilities, earned a Nobel Peace Prize nomination, and knew more about Saddam's arsenal than almost anyone in government. In 2002, Tony Blair's government published a dossier claiming Iraq could deploy chemical and biological weapons within 45 minutes. Britain went to war on the back of it. No weapons were ever found. Kelly knew the dossier was rubbish. He said so, quietly, to a @BBC journalist. That conversation ended his career, his privacy, and ultimately his life. The MOD carefully allowed his name to leak to the press as the BBC's source. He was then hauled before parliamentary committees, stripped apart by his own employer, and thrown to a media frenzy he never asked for. Two days after giving evidence to MPs, the 59-year-old was found dead in woodland near his Oxfordshire home. Instead of a proper inquest, Tony Blair asked Lord Hutton to run a private inquiry. Hutton concluded suicide. The inquest was opened, then suspended, and never resumed. Eight senior legal and medical figures, including a coroner, later wrote to @thetimes saying the verdict was unsafe. They argued the wound found on Kelly's wrist, a severed ulnar artery, would not have caused sufficient blood loss to kill a healthy person. There were no fingerprints on the knife found beside his body, even though he was not wearing gloves. In 2011, Attorney General Dominic Grieve rejected all calls for a new inquest. He said the Hutton Inquiry was "tantamount to an inquest" and that further investigation would be dismissed by judges with irritation. A man challenged the government's justification for a war that killed hundreds of thousands of people. He was publicly destroyed, died in mysterious circumstances, never got a proper inquest, and the people who sent him into that media storm faced no consequences whatsoever. Tony Blair became a Middle East Peace Envoy the following year. You genuinely could not make it up. Sources: @BBCNews, openDemocracy, Hansard, @thetimes | Hutton Report

@Unityapp2 @LeftLaser TIP; Eerste op bezoek gaan ter plekke…dan opinie aanames formuleren 😉

@LeftLaser Vervelende Hamas aanhangers die zien overal een Israel-complottheorie achter. Dit gaat gewoon over beveiliging en dan kun je niet overal in transparant zijn. En die Palestijnen zijn gevaarlijk, 80% is voor Hamas en vinden 7 oktober nog steeds prima.

Ga jij de hele aflevering kijken?

@Yig17114240 @KeesvdPijl1 #genocidaltroll

@KeesvdPijl1 Leraar aan de #UVA. Meer informatie heb ik niet nodig om deze tweet op waarde te schatten.

Er zijn meer dan 10.000 Palestijnse gijzelaars in de handen van deze man of zijn vervanger(s). Nederlands parlement stemt in met zijn plan om ze op te hangen.

Israel bombed the Rafie Nia Synagogue in Tehran. Yes, you read that right. Israel bombed a synagogue. In Iran. Most Americans probably didn't know that there are ~100 synagogues in Iran, 30 of which are in Tehran.