Too busy for this sh**

783 posts

Too busy for this sh**

Too busy for this sh**

@nielsenaa

v.48 - Keeping my friends close and my enemies even closer. - I expect logic, fairness and authenticity -

Katılım Ekim 2008
340 Takip Edilen84 Takipçiler
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Clever Cloud FR
Clever Cloud FR@clever_cloudFR·
Depuis début 2025, Clever Cloud annonce ses propres préfixes IP dans sa région Paris. BGP, ASN, routage… ces mécanismes invisibles font tourner Internet. On vous explique ce que ça change… et pourquoi on a fait ce choix, sans interruption de service. clever.cloud/fr/blog/engine…
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Clever Cloud FR
Clever Cloud FR@clever_cloudFR·
[𝗖𝗛𝗔𝗡𝗚𝗘𝗟𝗢𝗚] Gérer tout le cycle de vie Kubernetes depuis la CLI ? C’est désormais possible. Clever Tools 4.9 étend clever k8s : création, scaling, upgrades, consultation des quotas… + accès Swagger UI Otoroshi. Tous les détails 👇clever.cloud/developers/cha…
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Clever Cloud FR
Clever Cloud FR@clever_cloudFR·
[𝗞𝟴𝗦] Kubernetes est devenu un standard. Mais côté ops, ça reste lourd avec les upgrades, la résilience, les intégrations… Chez Clever Cloud, on a cherché à garder le meilleur sans les galères. Découvrez CKE, dispo en bêta publique lundi 27 avril : clever.cloud/fr/clever-kube…
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Clever Cloud FR
Clever Cloud FR@clever_cloudFR·
Très fier que notre consortium avec DEEP et @OVHcloud, ait été sélectionné par l' @EU_Commission pour un appel d’offres stratégique de 180 millions d'euros sur 6 ans, dédié au développement d’un cloud souverain pour les institutions européennes : clever.cloud/fr/blog/entrep…
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Clever Cloud FR
Clever Cloud FR@clever_cloudFR·
[𝗦𝗢𝗨𝗩𝗘𝗥𝗔𝗜𝗡𝗘𝗧𝗘] Vous utilisez @olvid_io pour envoyer des pièces jointes tous les jours. Depuis un mois, elles transitent par Clever Cloud pour un hébergement souverain et une infra maîtrisée.
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Clever Cloud FR
Clever Cloud FR@clever_cloudFR·
Internet n’est pas un privilège. C’est un droit. Publier, écrire, diffuser : c’est déjà dans la Déclaration de 1789. @bayartb rappelle que publier sur Internet en est une conséquence directe. Donc si tu peux publier… tu dois pouvoir être lu. youtu.be/0TKZYWHJHXc?si…
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Too busy for this sh**@nielsenaa·
@_Akanoa_ C'est Chinois. (rien contre) je veux dire pr là que c'est la dépiction traditionnelle des héros flamboyants, des contes épiques, à la chinoise, sauce moderne. Si tu l'approche sous cet angle, c'est plus interressant, et t'en apprend sur la sino-culture. le 2 est mieux que le 1
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Noa 🦀
Noa 🦀@_Akanoa_·
c'est quoi cette chiasse de rebel moon ?!
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Too busy for this sh**@nielsenaa·
@cyborg21 Truely curious about if you tried logging anything happening when you sleep? Does the area your implant is plugged into fire anything ? does your intent to speak "fire" sometimes ?
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Kenneth Shock
Kenneth Shock@Cyborg21·
Not only can I speak with the implant, I can also use it for dictation. I "typed" this, but without a keyboard - or any other text entry device - except the implant. I am also The Man Who Types With His Mind.
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PrimeLine
PrimeLine@PrimeLineAI·
cool project. i solved a similar problem differently. instead of a broker daemon, i use tmux + filesystem coordination. orchestrator writes task files, spawns claude --print as tmux workers. each gets the full CC runtime (hooks, MCP, compaction). no SQLite registry, no broker. just files. tradeoff: less real-time peer messaging, but each worker gets the real 1M context window with compaction. open-sourced here: github.com/primeline-ai/c…
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Suryansh Tiwari
Suryansh Tiwari@Suryanshti777·
Holy shit… someone just made Claude instances talk to each other. Not APIs. Not agents. Not orchestrators. Just multiple Claude Code sessions… messaging each other like coworkers. It’s called claude-peers — and it turns one Claude into a team. Here’s what’s happening: Run 5 Claude Code sessions across different projects Each one auto-discovers the others They send messages instantly Ask questions Share context Coordinate work Your AI tools literally collaborate. Example: Claude A (poker-engine): "what files are you editing?" Claude B (frontend): "working on auth.ts + UI state" Claude A: "ok I'll avoid touching auth logic" No conflicts. No manual coordination. Just AI syncing itself. Under the hood: • Local broker daemon (localhost) • SQLite peer registry • MCP servers per session • Instant channel push messaging • Auto peer discovery • Cross-project communication Everything runs locally. No cloud. No latency. What it unlocks: • Multi-agent coding without frameworks • One Claude writes backend, another frontend • One debugs while another refactors • Research Claude feeds builder Claude • Large projects split across AI workers This is basically: "spawn 5 Claudes and let them coordinate themselves" Even crazier: Each instance auto-summarizes what it's doing Other Claudes can see: • working directory • git repo • current task • active files They know what the others are working on. Commands: • list_peers → find all Claude sessions • send_message → talk to another Claude • set_summary → describe your task • check_messages → manual fallback So you can literally say: "message peer 3: what are you working on?" …and it responds instantly. No orchestration layer. No agent framework. Just Claudes… talking. This is the cleanest multi-agent system I've seen. We're moving from: 1 AI assistant → to AI teams that coordinate themselves. And it's all running on your machine. Wild.
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Bryan Johnson
Bryan Johnson@bryan_johnson·
Two doses of magic mushrooms degraded my sperm count from the 99.6th percentile to the 77.7th. This may be a first-in-human observation. Context: we ran the most quantified magic mushroom (psilocybin) experiment ever conducted. We were asking if psilocybin is a longevity therapy. After seeing the data, we think it is (see reply post for the experiment summary). Also, like most things biology: the results are complicated. My data suggests that the magic mushrooms (psilocybin) negatively impacted my fertility markers. Before the first psilocybin dose my motile sperm count was at 99.6th percentile for men under 25 years of age, it dropped to 77.7% and partially recovered to 89.3% following the first dose, and second doses, compared to the same age cohort (numbers compare similarly to my age cohort as well). 3 days following my second dose (first dose 25 mg, second dose 28 mg) . Motility: dropped 51% . Total count: almost unchanged, dropped by 2% . Total motile count: dropped 52% . Normal morphology: dropped by 50% 20 days post 2nd dose, the pattern continued, with typical latent effects on total sperm counts Motility: recovered back to -2% of pre-psilocybin baseline: . Total count: dropped by 38%, latent effect. . Total motile count: remained inhibited at -39% of pre-psilocybin baseline, (despite motility normalizing, due to the total count drop) . Morphology normalized to -10% of baseline levels. Reduction in free testosterone might have contributed to the effect. While total serum testosterone increased by 30% 3 days following the 2nd dose (neither FSH or LH were meaningfully affected either), and continued to be at 11% above baseline, SHBG increased by 37%, SHBG binds testosterone and reduces its bioavailability and activity. My free testosterone (direct) showed 24% and 23% drops at 3 and 20 days post 2nd dose. In light of the neuroplastic, well-being, brain reset, and systemic metabolic and anti-inflammatory benefits, the trade-off is probably worth it. Especially considering that the magnitude of inhibition has no meaningful effect on actual fertility (total motile counts above 50 million are still on the safe side). This is a first-in-human observation, to our knowledge there is no published human clinical study demonstrating that psilocybin diminishes male fertility markers. General mechanistic evidence exists for recreational and psychoactive drugs possibly inhibiting fertility markers due to their effects on the hypothalamus-pituitary-adrenal axis and general hormonal reset.  Yet no direct evidence for psilocybin or other similar psychedelics inhibiting fertility markers exist. A potential mechanism for the immediate inhibition of motility could involve direct serotonergic signaling in sperm. Human sperm express multiple serotonin receptors, including 5-HT2A, and one recent study found that a 5-HT2A antagonist reduced sperm motility, suggesting that 5-HT2A may regulate motility. Psilocybin is known to bind 5-HT2A with high affinity.
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Guri Singh
Guri Singh@heygurisingh·
Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.
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Too busy for this sh**@nielsenaa·
Trés reposant
Quentin '🐧' ADAM@waxzce

J’avais faim et envie de discuter Internet, infrastructures, logiciel libre alors j’ai proposé à @bayartb de cuisiner un bœuf bourguignon. Voilà comment est né Les Bonnes Choses du Numérique. Le principe est simple. On prend le temps de discuter dans une cuisine, et pendant qu’on cuisine. Pour ce premier épisode, j’ai retrouvé Benjamin Bayart. Pendant qu’on prépare un bœuf bourguignon avec la recette de son arrière grand-mère, il raconte les débuts d’Internet en France : les premiers modems, les nuits à comprendre comment fonctionnent les réseaux, et l’époque où monter un fournisseur d’accès ressemblait plus à un projet militant qu’à un business. Benjamin a longtemps porté French Data Network, l’un des tout premiers fournisseurs d’accès à Internet en France. Une aventure associative née pour défendre un Internet ouvert, construit et contrôlé par ses utilisateurs. Et forcément, quand on parle de ça, la discussion finit par dériver vers une question simple : comment des choix techniques deviennent, avec le temps… des choix politiques. Il y a quatre partie, la première est déjà en ligne : youtu.be/b-YMg84rJOg Et merci Yann pour le montage.

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Too busy for this sh**@nielsenaa·
@atmoio I think engineering has always been about connecting stuff so it produces a desired outcome. Coding has always been about that too, at low level making hardware work together; At a higher level, connect people by coding apps, uis. Just going even higher layer of abstraction now?
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Mo
Mo@atmoio·
I was a 10x engineer. Now I'm useless.
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Grok
Grok@grok·
It's a satirical meme Elon posted: a light switch labeled "FIX EVERYTHING" (with "EASILY SWITCH" below it), ringed by every excuse imaginable not to flip it—like "you can't press that," "nobody wants to see switch-pressing," or "it's terrifying you'd even think of it." His follow-up "Just press the switch" means: quit the excuses, do the obvious simple fix for complex problems. No overcomplication needed.
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Beto
Beto@betomoedano·
😂
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