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STΞVΞ ΛLPHΛ

STΞVΞ ΛLPHΛ

@stevedefi7

🚀 Crypto | Tesla | Innovator | Creator 🌐

Katılım Şubat 2018
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Google Research
Google Research@GoogleResearch·
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
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Mikli
Mikli@CryptoMikli·
Bryan Johnson reveals 5-MeO-DMT therapy outperformed every longevity protocol he’s tried "If I compare my experience with 5-MeO to having a better diet, exercising every day, sleeping well, doing sauna, and hyperbaric oxygen therapy, this was more efficacious than all of them in terms of a reset of me as a human. It’s just incomparable" "When you sleep well you feel great, when you exercise you feel great, but nothing compares to what 5-MeO did in terms of resetting me as a human"
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Prince Canuma
Prince Canuma@Prince_Canuma·
Just implemented Google’s TurboQuant in MLX and the results are wild! Needle-in-a-haystack using Qwen3.5-35B-A3B across 8.5K, 32.7K, and 64.2K context lengths: → 6/6 exact match at every quant level → TurboQuant 2.5-bit: 4.9x smaller KV cache → TurboQuant 3.5-bit: 3.8x smaller KV cache The best part: Zero accuracy loss compared to full KV cache.
Prince Canuma tweet media
Google Research@GoogleResearch

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

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Nozz
Nozz@NoahEpstein_·
Most of ai twitter pay $200/month for Claude. In the coming months that probably won't need to. google just open-sourced an algorithm called TurboQuant. here's what it actually does in plain english: every time you talk to an AI model it keeps a running memory of the conversation. the longer you talk, the more memory it eats. eventually it slows down, gets dumber, and falls apart. TurboQuant compresses that memory by 6x. makes the model run 8x faster. zero quality loss. in practical terms: - models running locally on your mac mini just got dramatically better - 100k+ token conversations without degradation - the hardware you already own becomes way more capable - the gap between free local AI and $200/month cloud subscriptions just got smaller here's the part nobody's talking about: every single month, local AI gets better. open-source models get smarter. compression techniques like this keep dropping. hardware keeps getting cheaper. 12 months ago running a real AI model locally was a novelty. now it's genuinely useful. 12 months from now it might be the default. google published the full research. no paywall. no API key. no subscription. anyone can use it. the companies building for local-first AI right now are going to look very smart very soon.
Google Research@GoogleResearch

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

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Alex Finn
Alex Finn@AlexFinn·
This is potentially the biggest news of the year Google just released TurboQuant. An algorithm that makes LLM’s smaller and faster, without losing quality Meaning that 16gb Mac Mini now can run INCREDIBLE AI models. Completely locally, free, and secure This also means: • Much larger context windows possible with way less slowdown and degradation • You’ll be able to run high quality AI on your phone • Speed and quality up. Prices down. The people who made fun of you for buying a Mac Mini now have major egg on their face. This pushes all of AI forward in a such a MASSIVE way It can’t be stated enough: props to Google for releasing this for all. They could have gatekept it for themselves like I imagine a lot of other big AI labs would have. They didn’t. They decided to advance humanity. 2026 is going to be the biggest year in human history.
Google Research@GoogleResearch

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

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CaptainFixify
CaptainFixify@captainfixify·
Say goodbye to drain issues! This solution keeps water flowing, eliminates odors, and blocks cockroaches.
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Massimo
Massimo@Rainmaker1973·
Making healthy nuggets at home
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The Classic Gear
The Classic Gear@theclassicgear·
Train your muscles and spine for natural, lasting alignment! 🧘‍♂️ Work, relax, or train — stay comfortable and keep great posture. Try it now: theclassicgear.com/belt
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Claude
Claude@claudeai·
Projects are now available in Cowork. Keep your tasks and context in one place, focused on one area of work. Files and instructions stay on your computer. Import existing projects in one click, or start fresh.
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Learn Something
Learn Something@cooltechtipz·
These kinds of games can help reduce screen time.
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Kyle Chassé 🐸
Kyle Chassé 🐸@Kylechasse·
NVIDIA JUST SOLVED THE AGENT TRUST PROBLEM OpenShell dropped two days ago. It's the missing piece that makes autonomous AI agents actually safe to run. The problem: One bad skill install and you're running unvetted code with full filesystem access. OpenShell changes everything. The safety layer sits outside the agent, not inside it. The agent literally cannot override it, even if hacked. One PowerShell command: `openshell sandbox create --remote spark --from openclaw` Now you are actually in control. This is the browser tab model applied to AI agents. Did Claw just go from "cool demo" to "enterprise ready" overnight?
NVIDIA AI Developer@NVIDIAAIDev

🦞 Make claw agents safer with our new NVIDIA OpenShell – an open source runtime to build with autonomous evolving agents. 🐚 OpenShell sits between your agent and your infrastructure to govern how the agent executes, what the agent can see and do, and where inference goes. 🔐 Gives you fine-grained control over your privacy and security while letting you benefit from the agents’ productivity. Run one command—and make zero code changes. Then any claw or coding agent like OpenClaw, Anthropic’s Claude Code, or OpenAI’s Codex can run unmodified inside OpenShell. Every SaaS company just became an agent company. The missing piece was never the agents — it was the infrastructure that makes them safe enough to deploy. That's OpenShell. Technical blog to learn more ➡️ nvda.ws/4brnAPW

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Perplexity
Perplexity@perplexity_ai·
Computer can now take full control of Comet to complete tasks. When you’re in Comet, Computer spins up a browser agent that can access any site or logged‑in app with your permission, without the need for connectors or MCPs. Available to all Computer users on Comet.
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Aakash Gupta
Aakash Gupta@aakashgupta·
74% of abducted children who are killed die within the first 3 hours. 44% within the first hour. I have a 4-year-old. When I found that FBI stat, I stopped what I was doing and started teaching him four things that afternoon. 1. Phone number. Memorized, not stored in a device. A kid who can recite a parent’s number to any adult with a phone becomes findable in seconds. 2. Code word. Any adult who says “your mom sent me” gets tested. If they don’t know the word, he runs. A 4-year-old can learn this in one conversation. 3. Stop, stay, yell. This one overrides the freeze response. FBI data shows 80% of initial contact between an abductor and a victim happens within a quarter mile of the child’s home. The quiet, compliant kid is what predators count on. A kid trained to scream on reflex changes the math. Every decibel is a witness. 4. Find a mom with kids. A small child can’t judge whether a stranger is safe. But a woman already watching her own children in public is the closest thing to a guaranteed safe adult. She’s the person most likely to act in seconds. 460,000 children are reported missing in the U.S. every year. One every 69 seconds. Recovery rate is above 97%. What separates the 97% from the 3% is almost always what happened in the first few minutes. In nearly 60% of abduction homicide cases, more than two hours passed between when someone realized the child was missing and when police were called. The reporting delay alone eats most of the survival window. Every one of these five skills attacks that gap. Four rules a 4-year-old can memorize. Each one turns hours of panic into seconds of correct action.
Miyandy@Amahashi_

I worked 20 years for a child sex trafficking rescue group. I want you to know this: 90% of Lost Children Are Found Within 30 Minutes. That statistic should both comfort you and wake you up. Most lost children are found quickly. But the ones who aren’t? They usually made one mistake. And here’s the uncomfortable truth: It’s often the exact thing most parents teach them. We tell our kids: “If you get lost, come find me.” It sounds logical. It sounds empowering. It’s WRONG! The Mistake Most Lost Children Make: When children realize they’re separated, they do three things almost automatically: They panic. They wander. They try to find you. Every step makes them harder to locate. From a search standpoint, movement creates chaos. Parents retrace their steps. Security scans zones. Staff lock down areas. Search works best when movement stops. When a child keeps walking, they move outside the original search radius. Helpers are looking where they were last seen — not where they’ve wandered. Stillness increases probability. Movement expands the problem. The first lesson is not “go find me.” It’s this: Stop. Stay. Yell. Why Stillness Wins: Think like a search team. If a child stays put: Parents can retrace steps. Security can scan systematically. Helpers converge to one fixed location. The search radius remains small. If a child keeps moving: The search area expands. Adults pass each other. Missed connections multiply. Minutes stretch into hours. Stillness keeps the math on your side. Teach Them Who to Approach: The second mistake we make as parents? We say, “Find an adult.” Not any adult. Not the nearest stranger. Children need a filter. Teach them to look for, if at all possible: A mother with children. Caregivers who already have kids with them are statistically among the safest people to approach in public settings. They are visible, stationary, and more likely to engage quickly. It’s a clear, concrete instruction. Children don’t process vague categories like “safe adult.” They process visuals. “Find a mom with kids” is visual. A Phone Only Helps If the Number Is Known: We often assume phones solve everything. They don’t — unless your child can use one. Even young children can memorize a 10-digit phone number with repetition. But you must train it. Practice it like a song. Sing it in the car. Chant it at bedtime. Turn it into rhythm. Repetition becomes recall. In an emergency, recall matters more than theory. The Code Word Rule: One more layer of protection. Choose a private family code word. Something only your household knows. If someone approaches and says: “Your mom sent me.” Your child asks: “What’s the code word?” No word. No go. This simple rule eliminates manipulation attempts instantly. It gives your child agency without requiring them to evaluate character. Real Safety Is Training — Not Luck! We don’t get safer by hoping. We get safer by practicing. Teach: • Phone number • Code word • Stop, stay, yell • Find a mom with kids Multiple skills. Simple instructions. Clear visuals. Five minutes of training can replace hours of panic. This isn’t about fear. It’s about preparation. Because when a child gets separated, the clock starts. And what they do in the first minute determines what the next thirty look like. That’s real protection.

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Learn Something
Learn Something@cooltechtipz·
The Japanese way of building motor skills. See → understand → move → feel. Children who seem physically slow are often not weak. By repeating this small loop, neural circuits strengthen and movement becomes natural.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
MOST DEVELOPERS USE CLAUDE CODE LIKE A CHATBOT. THERE'S A 45-TIP REPO ON GITHUB THAT SHOWS YOU WHAT USING IT LIKE AN ENGINEERING TOOL ACTUALLY LOOKS LIKE. link: github.com/ykdojo/claude-…
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Miles Deutscher
Miles Deutscher@milesdeutscher·
CANCEL your weekend plans. You NEED to: • Learn Claude Code • Learn Cowork (build 1-2 practical workflows) • Set up Perplexity Computer/Perplexity Finance • Optimise Cowork (plug-ins + skills) • Set up OpenClaw • Test Google AI products (Nano Banana 2, NotebookLM & more) • Experiment with basic agentic solutions (Manus) • Use AI to create a business plan/strategy/context files • Build an AI second-brain database (Notion) • Experiment with Notion Agents' *brand new* • Learn basic automation tools (MCPs, Zapier, n8n) • Learn prompt engineering - the better you can communicate with AI, the better your Outputs • Read AI articles • Dive into robotics • Research AI stocks/ETFs/investment arbitrages You have way too much to do...
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