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X AI ALGORITHM UPDATE (BIG ONE) 🚨 X updated their open source algorithm yesterday and the biggest number in it is gone: copy link went from 20 to 0 points. Small accounts should focus on: posts people like, reply to and stay on (so stop counting on link copies) tl;dr: - on Nov 13 X's open source code set the score for copying a post's link to 0 - copy link: 20 → 0 - it was the top score in the whole system, 4x a reply - the code also names a "copy link bait" spam check - likes (0.708), replies (5) and DM shares (5) didn't move full details: - The number that's gone Since I started reading X's open source code in August, one number sat at the top: 20, for someone tapping share and copying your post's link. Nothing else came close. As of the Nov 13 release, it's 0. X still guesses who'll copy your link. It just multiplies that guess by 0 now. X didn't explain it. It's just what the code says. (I check the open source algo daily with Claude and share updates with you) - Cross it off your list My own checklist called copy link the biggest number. Last week's post said it too. It was true then. It isn't now. If you saved that list, cross that line out. - The "copy link bait" check X's code now mentions a spam check called "copy link bait". In the code it adds a spam label to the post, and that label already keeps a post out of strangers' feeds. It only shows up in a test, so I can't see if it's running or how strict it is. My read: X saw people baiting link copies, so it turned the score off and built something to catch the bait. That's a read, the code doesn't say why. - Why that matters if you're small If your plan was posts people copy the link to, that plan now earns 0 in X's ranking. A copied link can still bring people in from outside X. It just doesn't push your post up anymore. What still pays: likes at 0.708 (the highest ever), people staying on your post, replies at 5 and back and forth with mutuals at 20. - Also new: photo and video tags If a post has a spam label, people you tag in its photo or video who don't follow you won't get notified. Same idea as last week's rule for replies. - What didn't change Every other score. Your new posts still get their extra push in the first 2 hours and first 200 views, and early likes still pick which one gets it. Here's a recap of what you should be doing: - aim for likes, replies and time spent, the copy link score is gone - a DM share still earns 5, same as a reply or a quote - likes sit at 0.708, never higher - time on your post keeps counting at its best rate yet - 10+ seconds after someone taps in adds 0.385 - write your replies yourself, under big accounts most of all - give people a reason to hang around your profile - in videos the opening seconds carry it, an open alone scores 0 - posts read to the end help X find you strangers - smaller accounts (below 50K) get a shot at a spot near 16 for a fresh original - early likes decide which new post gets that spot - post when your followers are awake, the push lasts 2 hours and 200 views - mutuals going back and forth earn 20, so follow back the regulars - only your originals ever get shown to strangers - like 1 and like 32 each unlock another way to reach strangers - one strong post per feed, your second only counts 62% - clips longer than 10 seconds for the video lists - a post likely to win you a follow gets +4 - give your pinned post a look, it can affect the whole account What you should NOT be doing: - counting on copy link shares, they score 0 now - baiting link copies, the code names a spam check for exactly that - a spam label also stops your photo tags reaching non-followers - AI-written replies under big accounts, "llm slop" is a flag X uses - copy-paste replies, labeled ones skip non-followers' notifications - chasing taps, 0.274 and dropping - drifting off your topic, each probable "not interested" takes 53.07 away - videos people open and leave, the open itself earns 0 - posting at 3am, it wastes the 2 hour push - expecting replies and reposts to reach strangers - an insult label, it hides that post from non-followers - earning a misinfo or low quality label, which adds a warning and locks strangers out of liking or sharing - 3 adult photos or videos among your latest 5 posts, that puts a label on you - forgetting videos get rechecked at 64 and 512 likes - one account label and strangers stop seeing you - pinning a link to a site X rates badly, that can mean a label for a week - posting your own old words again risks the copypasta flag - a low quality link plus tagged strangers reads as spam - bait for engagement, big or small it gets a label - several posts back to back, they split the same feed - hashtag piles, they do nothing - bookmarks for reach, they score 0 - hoping a 3 day old post still lands in For You, it stops at 2 days

End-to-End 4-Bit Training：让大模型用更粗糙的数字格式完成全流程训练，大幅缩短显卡训练时间 训练大模型需要处理海量数据，直接把数字精度压到4位虽然能加快计算，但四舍五入累积的误差会严重拖垮模型的学习效果。 为了解决这个矛盾，Thinking Machines Lab在英伟达GB300显卡平台上开发了名为BBBK的专用底层加速程序。采取了分工策略，在模型向前推理计算时使用高速度的4位数字格式NVFP4，在向后更新参数时切回较精细的8位格式MXFP8，并在传输数据时顺手进行旋转压缩与随机舍入修正，省去了传统训练完成后还要单独做低精度校准的麻烦步骤。 这套方案应用在Inkling 2 Small模型的全流程训练中，显卡的运算管道和传输带宽同时跑满，没有出现互相等待的卡顿。原本需要好几周才能跑完的同体量模型，现在在GB300机柜上只用了68小时就完成了预训练。对比全程使用8位格式训练，新方案在预训练阶段节省了8%的时间，在强化学习阶段直接提速了20%，省下了大量算力开销，同时模型最终的回答准确率几乎没有受到影响。 链接：

分享5 个看着违规，实际100%合法的 GitHub 仓库⬇️： 1. Pi-hole：装在一台机器上，全屋设备一起把广告拦掉。6.18 万星。 2. Jellyfin：把你手里的片子、剧集丢到自家服务器里播，相当于私人版网飞。5.92 万星。 3. NewPipe：手机安卓端看 YouTube，既不用登录，也不夹广告。4.06 万星。 4. Upscayl：想把图变得更清晰，在自己电脑里用 AI 就能拉高分辨率。5.23 万星。 5. Win11Debloat：一条脚本，卸掉 Windows 出厂自带软件，顺便关掉遥测。6.24 万星。

you don't necessarily need to start from zero to earn Zaps on @zerufinance connecting the wallets you actually trade from can reveal a starting balance based on your existing onchain history, before you even begin new activity. from there, qualifying trades, campaigns, referrals, and clan participation can add more Zaps. my takeaway your past activity may already count but Zaps are points for the planned airdrop not $ZERU tokens sitting in your wallet today. the smartest first move is connecting your real trading wallets and checking what your history unlocks.

Hello guys, tonight I watched a 50 minute podcast with Albert Castellana from GenLayer on The Future of Crypto Compliance, and one minute in it is still stuck in my head. Code is free now, execution is becoming free, so what still has value? According to Albert, it’s judgment. AI already decides what we see on Twitter, whether we get hired, whether we get a loan or insurance, and right now we’re just trusting a few big AI labs with that power Main points: - His previous project lost access to around $150M after keys were lost, and the courts turned out to be too slow and expensive - GenLayer is building a small digital court onchain for decisions that aren’t just yes or no - Five random validators, each with its own AI model, vote on the outcome - Disagree? Appeal, and the validator set doubles each time, up to 1,500 - The first decision takes minutes and costs around 50 cents - It doesn’t replace real courts, it handles small disputes nobody would take to court anyway

Anthropic just published an engineering guide on how to build always-on agents. The biggest misconception: an always-on agent does NOT run 24/7. It sleeps almost all day, wakes up for short runs, saves state, and goes back to sleep. The 5 core pieces I distilled: 1. Event Inbox Put a database table between webhooks and your agent. Acknowledge webhooks fast, run only one active worker per user so runs never collide, and batch rapid messages together. 2. Timers Keep timers in a separate table from the inbox. Split them into one-off follow-ups and recurring schedules. A background poller drops due timers into the inbox. 3. Lean Memory + Dreaming Only store what cannot be looked up again: user instructions, user notes, past messages, and task progress. Load a small index at wakeup, not every file. Run periodic dreaming passes to clean out stale facts. 4. Unattended Permissions Never put raw API keys inside the agent sandbox — inject them through an outside proxy. Use Deferred Tool Calls to pause risky actions for approval without blocking the worker. 5. Outbox Queue outgoing replies so your agent paces notifications instead of spamming users at 3 AM.

My mom fed a homeless man behind our house for 20 years. Three meals a day, even when we couldn’t afford electricity. I hated her for it. The day after her funeral, that same man took my hands, looked me straight in the eyes, and said: “Before she died, she begged me to stay silent.” I honestly had no idea what he was talking about. For 20 years, this man had lived in a makeshift shelter behind our rental house. My mom brought him breakfast, lunch, and dinner. Every single day. And the crazy thing was, we were poor too. My sneakers had tape covering the holes. Sometimes we struggled to pay our bills, and there were days when we couldn’t even afford electricity. But somehow, my mother always found enough food to feed him. I never understood it. I remember coming home two days before Christmas and finding a yellow eviction notice taped to our front door. We were struggling to keep a roof over our heads, yet my mother was still preparing three meals a day for a stranger. That night, I finally lost my temper. Me: “Maybe if you stopped feeding strangers, we wouldn’t live like this!” My mom turned around so quickly that I knew I had crossed a line. Mom: “Don’t you ever DARE say that again.” I had never seen her that furious before. I didn’t understand why she was defending him so strongly when her own child was going without things. I moved out when I turned 18. We fought less after that, mostly because I stopped asking questions. But the man stayed. Year after year, his little shelter remained behind our house, and my mother continued feeding him. Then my mom got sick. Cancer made her small. She became quiet, and it was the kind of quiet that scares you because you know something terrible is happening. Two weeks before she died, she reached out and grabbed my wrist. Her grip was so weak that it broke my heart. Mom: “Promise me you’ll keep feeding him.” I looked at her. Honestly, I wanted to say no. I wanted to ask why she was still worrying about that man when she was the one who needed help. But you don’t lie to a dying mother. So I promised. My mom eventually passed away. The day after her funeral, I prepared the best meal I could, put it on a plate, covered it with foil, and drove to her house. I had promised her I would keep feeding him. But when I got there, the man was gone. His shelter had been completely cleared out. Everything was gone. The ground had even been swept clean, as if those 20 years had never happened. I stood there holding the warm plate, wondering where he could have gone. Then I noticed something. A black SUV was parked at the curb. Standing beside it was a man wearing an expensive wool coat. He was clean-shaven, well-dressed, and looked nothing like the homeless man I had known for 20 years. But the thing that caught my attention was what he was holding. My mother’s old silver locket. The same locket she had told me she lost when I was eight years old. He looked at me and said: Man: “I thought you wouldn’t come.” I stared at him. Me: “Wait… is that you? What’s going on?” He smiled, but his expression was unsteady. His eyes were already filling with tears. Man: “Your mom hid something from you.” I felt my stomach tighten. Me: “What did she hide?” He looked at the plate in my hands before responding. Man: “Before she died, she begged me to stay silent.” My blood went cold. Me: “Silent about what?” He gently shook his head. Man: “Sit down. You shouldn’t hear this standing in the cold.” We sat on the front steps. The plate was still warm between us. He turned my mother’s silver locket over in his palm as though it might break. Then he began telling me something I never could have imagined. Man: “My real name is Vernon Hale. Before all this, I owned a company. I had a big house in Connecticut, a wife, and a little girl. My daughter was six years old.” I just stared at him.