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metaverse Katılım Ekim 2021
1.7K Takip Edilen2.1K Takipçiler
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Anjney Midha
Anjney Midha@AnjneyMidha·
apparently not everyone is aware of this, so sharing it here since jan 2026, GPU rental prices are up 2x+ we are living through the covid of compute, and all the toilet paper is gone stay safe out there researchers
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Nikita Bier
Nikita Bier@nikitabier·
It is fine to bring the best videos on the internet to X. One of X's core values is cultural commentary. However, we cannot tolerate big accounts intentionally using their larger following to hijack impressions hours after another user posts something. Having said that, we will aim to reward original content creators and livestreamers more in the coming weeks.
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Nikita Bier
Nikita Bier@nikitabier·
@Rainmaker1973 After sourcing 2759 videos from @ViralRushX over the last 6 months, you're now circumventing attribution by simply cropping out his watermark? You cannot get more shameless than this. This is your last day in the creator program.
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unusual_whales
unusual_whales@unusual_whales·
Wow, look at this. The Unusual Whales Kafka Streaming is a go to for high-through put event streaming for institutional-grade market data. It is a must have. Check it here: unusualwhales.com/public-api/kaf…
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Nav Toor
Nav Toor@heynavtoor·
You think torrenting is illegal. The U.S. Library of Congress disagrees. So does NASA. So did Twitter's own engineering team back in 2010. qBittorrent is the free, open-source, ad-free, no-cloud, no-subscription torrent client that the rest of the internet has been quietly using for 14 years. 37,661 stars. GPL-2.0+. Pushed today. Here is the wildest part: You: "Isn't BitTorrent a crime?" Hollywood: "Yes. We spent 25 years and billions of dollars proving it." You: "So who actually uses it?" Internet Archive: "We do. Millions of files. Ubuntu, Debian, Fedora, Blender and LibreOffice all ship through us via BitTorrent." NASA: "We host our Ultra High Definition footage on the Internet Archive as torrents." Twitter Engineering, 2010: "We deploy code to our entire datacenter over BitTorrent. We named the system Murder. Nothing else is faster." Facebook Engineering, 2010: "Same." You: "So what is illegal?" Hollywood: "Downloading our movie. Not the protocol. Not the app. Not the seeding. Just our movie." You: "What does qBittorrent cost?" qBittorrent: "Nothing. No ads. No premium tier. No telemetry. Forever." Netflix Standard is $19.99 a month. Disney+ no-ads is $15.99 a month. HBO Max Standard is $16.99 a month. Spotify Premium is $12.99 a month. Google One 2TB is $9.99 a month. Dropbox Plus 2TB is $11.99 a month. That is over $1,000 a year to rent files that disappear when the contract ends. qBittorrent is $0 a year to move any file you legally own, between any two computers you legally own, at the speed of every seed on Earth. 100% Opensource. 100% Legal. 100% Yours. Hollywood spent a quarter century calling this a crime. NASA uses it to ship Mars.
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Andrej Karpathy
Andrej Karpathy@karpathy·
@yash1_ @shreyansj iirc Geoff Hinton’s official title at Google at one point was “intern” :D
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clem 🤗
clem 🤗@ClementDelangue·
llama.cpp with MTP support makes local models fast enough to use as daily drivers 🚀 Qwen3.6-27B dense generation below on A10G: From 25 tok/st to 45 tok/s (+78%)!
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David Sacks
David Sacks@DavidSacks·
Q: How are job postings for software engineers rising rapidly despite AI agents automating coding? A: Because there’s far more code to manage than ever before. We’re already seeing a 14x YoY increase in GitHub commits, and it’s accelerating. AI has dramatically lowered the cost of writing code, so it’s now being used across far more businesses, applications, and use cases. We’re at the beginning of a massive productivity boom driven by the proliferation of bespoke software throughout the entire economy. Coding has been AI’s breakout use case this year. The fact that it’s increased demand for software engineers — rather than decreased it — should call into question the entire “AI will cause mass job loss” narrative.
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Greg Brockman
self improvement prompt for codex
Vaibhav (VB) Srivastav@reach_vb

UPDATE: Came up with an even better version of this prompt after the feedback Ask Codex to look across your sessions, Memories, and Chronicle, identify patterns, reuse what already exists, and only create the smallest useful skill, subagent, or automation. "Look back over my recent work from the last 30 days, or all available history if shorter, and identify repeated manual workflows worth packaging. Use available evidence in this order: - Recent Codex sessions and task summaries. - Codex Memories and rollout summaries to find patterns repeated across sessions. - Chronicle, if enabled, to spot repeated work outside Codex. Use Chronicle for discovery only; confirm important details in the relevant source system when possible. - Existing skills, custom agents, and automations, so you reuse or extend what already exists instead of duplicating it. Look broadly for work that is repeated, time-consuming, error-prone, context-heavy, or benefits from a consistent process. Include workflows across coding, research, writing, planning, communication, operations, analysis, and personal administration. Only act on a candidate when it: - occurred at least twice, or is clearly likely to recur and costly to repeat; - has stable inputs, a repeatable procedure, and a clear output or stopping condition; - would materially improve speed, quality, consistency, or reliability; - is not already adequately covered. Choose the smallest appropriate form: - Skill: a reusable workflow or playbook. - Custom subagent: a bounded specialist role or investigation task suitable for delegation. - Automation: a scheduled or recurring check, report, reminder, or monitor. - Skip: work that is too one-off, ambiguous, sensitive, or poorly evidenced to package. First produce a compact shortlist with: - repeated workflow - supporting evidence and dates - frequency/confidence - recommended form: skill, subagent, automation, extend existing, or skip - why it is or is not worth creating Then create only the high-confidence missing items. Keep them narrow, practical, source-aware, and easy to validate. Do not create speculative, overlapping, or overly broad assets. Finish with: - what you created or extended - what you deliberately skipped - what needs more evidence before packaging"

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Aaron Levie
Aaron Levie@levie·
CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI. So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents. “Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues. “Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with. The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.
Michal Malewicz@michalmalewicz

CEOs are the most delusional about AI. Detached from reality.

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MTS
MTS@MTSlive·
We asked @kayvz what he thinks about token maxing. His take: token usage is only useful if it turns into shipped code. At small scale, letting engineers “rip” with AI tools can make sense. But inside large engineering orgs, the real question is whether the tokens burned actually become production output. “Tokens for the sake of tokens isn’t always the thing that matters.” “What you actually care more about is how much code is actually getting merged. It’s very common for people to burn a lot of tokens and not actually have any of that code see the light of day.” “The most interesting thing is token efficiency. What percentage of the tokens that you burn end up getting merged?” “At certain scale, if you’re letting every engineer let it rip, it’s a pretty big inference bill.”
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MTS
MTS@MTSlive·
SITUATION ANALYSIS: does AI turn water brown? What we know: • AOC showed jars of contaminated drinking water near a Georgia data center • Large data centers require major excavation and bedrock work • However, this is not unique to data centers. The same issue happens with highways, quarries, and other large construction • @schisofrenia: "turning it into an anti-AI thing is not getting to the root of the issue. We need better land survey and zoning policy (overall)."
Marc Andreessen 🇺🇸@pmarca

AI turns water brown. You might disagree. You might even have some evidence to the contrary. But you have to ask yourself: is this really worth losing my job over? AI turns water brown.

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SemiAnalysis
SemiAnalysis@SemiAnalysis_·
FACT ALERT 🚨 : In modern agentic coding, 42% of the time is spent on CPU doing tool use such as editing files, running Bash scripts, running lints, etc. The economy of traditional cloud computing charges at $ per cpu core. In the economy of agents, the business model is $ per token thus to increase token revenue, you need to increase the amount of CPUs power u have so that you can generate your tokens.
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Nav Toor
Nav Toor@heynavtoor·
In Cuba, people pay one dollar for a USB stick. What is on it: all of Wikipedia. Every article. Every image. 7 million entries. In North Korea, the same kind of stick is smuggled across the border in plastic bottles. In US and European prisons, inmates use it because they cannot touch the open internet. The software that makes those sticks work is called Kiwix. A Swiss developer named Emmanuel Engelhart wrote it in 2007 in Lausanne because four billion people on Earth cannot read Wikipedia. Nineteen years later he is still shipping. Mostly unpaid. The repo: → 5,613 stars across the org → GPL-3.0 licensed → 100+ languages → 4 million users worldwide How it compares: ChatGPT Plus → $240/yr, online only, blocked Britannica → $74.95/yr, online only, blocked Kiwix → $0, offline, works anywhere You download one file. 109 gigabytes. It fits on a $12 USB stick. That stick now contains roughly a thousand years of human knowledge. Here is the wildest part: The Wikimedia Foundation reported in 2018 that 80% of Kiwix users were in emerging countries. North Korea bans the internet but they cannot ban a USB stick already inside the country. In Cuba, vendors sell weekly Wikipedia updates for one dollar. The Foundation called it "connecting the unconnected." Engelhart's mission, written in a 2014 email: "Our users are sailors on the oceans, poor students thirsty for knowledge, world's citizens suffering from censorship or free minded prisoners." The honest part: 109 GB of disk space. UI looks like 2010. Updates every few months, not real time. And every byte is Creative Commons or public domain. Zero piracy. Zero DMCA risk. Lausanne, Switzerland. One Swiss developer. Every human library, in your pocket, even when the lights go out.
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Rishabh Mukherjee
Rishabh Mukherjee@rishabhm·
I can share an interesting experience from last week. We have a person who is incharge of buying hardware, software and data sets. This might sound stupid but when you are buying 100s of servers, workstations and laptops a month, it's complicated. This dude used Claude to create an entire tracking and maintanence portal that inventoried everything. He even managed to integrate the portal with our monitoring software to display the status of every server vm. He then modified it to store invoices and so on. He's been at it for a couple of weeks and we've been able to identify wastage and needs. Without Claude, this would have been a maze of spreadsheets and a lot of manual labor. But we wouldn't have hired a developer for this. To me, this kind of software is the killer use case for AI. Enough to simplify your life, but not enough to justify hiring someone or buying a product. Is the code great? Is it scalable? Is it good software engineering? No, no and no. But that's besides the point.
Priyansh Agarwal@Priyansh_31Dec

Peak delusion. People who can’t code, think they’re now as good as people who can code, because apparently AI tools can code very well now.

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Vaibhav (VB) Srivastav
Copy and paste this into your codex: “Look through my recent Codex sessions and identify repeated workflows or repeated asks. For anything I keep doing manually, suggest: 1. a skill if it is a reusable workflow 2. a custom subagent if it is a bounded role or investigation task Focus on practical things like CI failures, PR reviews, changelogs, docs updates, release prep, debugging, and test triage. Create the useful ones only. Keep them simple.”
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Vaibhav (VB) Srivastav@reach_vb

Codex Tip: ask Codex to look through your past sessions and turn repeated prompts into reusable skills + subagents you’ll probably find the same stuff showing up again and again: “check why CI failed” “review this PR” “write the changelog” “trace this bug” “clean up this diff” make it a skill if it’s a repeatable workflow or, make it a subagent if it’s a specific job you want to delegate

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