@instagram
人生で初めてAIが面接に来た動画を公開します。 注意喚起も込めて。 補足すると動画スタートが面談スタートではなく、なんか変だなって思っててCOLOさん？（KOWROや）ってなったあたりから頬杖ついてAIだと確信を持ってます笑 絶賛「人間」の採用を加速しております。ぜひご応募ください↓↓↓
このようなBraveの炎上持ち出してVivaldiを持ち上げようとしている人がいるけれど、 Vivaldiはスピードダイヤルのショートカットが広告リンク経由であるのに広告やアフィリエイトの記載がないので、そちらのほうが問題なんですよね。
https://www.deeplearning.ai/courses/ai-python-for-beginners
日本語圏に関わることを調べるときは startpageが精度ダントツな気がする。 DDGはその点においてゴミすぎる。 （〇〇 アニメ 感想 などで調べるとゴミサイトばかり出る。） そのような情報を調べるときはDDG使うくらいならBrave Search使うほうが絶対に良い気がしてる。
10 GitHub repos that seem "illegal" but are perfectly legal 1. yt-dlp → https://github.com/yt-dlp/yt-dlp Downloads videos from any platform. YouTube Premium charges 16 dollars a month to do less 2. Ollama → https://github.com/ollama/ollama Runs AI models on your laptop without paying for APIs. What costs many hundreds a month here comes out to 0 3. Fooocus → https://github.com/lllyasviel/Fooocus Generates images with Midjourney-quality on your GPU. Midjourney charges 30 dollars. This is unlimit…
【話題】“話し合い”ができない夫を激詰めした結果、離婚を切り出された女性が話題に ・夫と議論しようとすると「明日にして」と逃げられる ・夫は“話し合いができない人”で、大体何でも夫が悪いというスタンス →既婚男性から「読んでてツラい」「うちの嫁が書いた文章かと思った…」との感想が相次ぐ
VM？
これ覚えておくと良いよ。 https://x.com の前に adhをつけるとURLから本文が読めるようになる。 検索などをしたい場合はCodex等で fa0311/twitter_api_safe_relay を用いれば良い。
Hollanda liginde cinayet girişimi
PSV li Van bommel rakibi Aaron Bouwman a kafa göz daldı
Bouwman ölümden döndü
Önce kırık var zannedildi
Hastanede akciğer ve boyun ezilmesi yaşadığı anlaşıldı
4 hafta sahalardan uzak kalacak
Bu pozisyonda van Bommel sarı kart gördü
VAR devreye girmedi
https://x.com/ESPNnl/status/2096344300338417890/video/1
How Psyops work
FABLE 5 + HIGGSFIELD CAN BUILD A $35,000 ANIMATED WEBSITE. IN ONE AGENTIC SESSION. FOR ~$12 IN CREDITS. stop paying a web studio $6,000-$35,000. stop wiring GSAP, Lenis, and frame extraction by hand. Claude Code writes it. Higgsfield renders it. WHAT THE BUILD PRODUCES: → a fully animated, scroll-driven site → cinematic motion clips from 30+ generative models → GSAP ScrollTrigger timelines - zero hand-coded keyframes → Lenis smooth-scroll, tuned pacing → automated frame extraction + asset optim…
BREAKING: Liberty caps breach the Anglo-Scottish border 🍄
Stay safely away from these mushrooms. Especially if you’re struggling with mental health, or looking to laugh with friends.
WELCOME TO TRANSPORT FOR LONDON I’m almost speechless other than to say this is absolutely revolting. This is London in 2026.
Graph Engineering with Claude. What It Is and How to Actually Use It
Private credit is in big trouble.
Uhoh.
Me explaining AI to friends
BREAKING NEWS: The EXACT Ivermectin dosage that's helping Cancer patients is being HIDDEN from you!
12mg daily for 5 days, then 12mg twice weekly maintenance.
Big Pharma doesn't want you to know this costs $2 per pill instead of $10,000 chemo treatments.
#ivermectin #cancer
this ONE habit will 10x your surface-area for success...
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
‼️PSG's super dominant away games in the UCL this season:
⚠️This isn’t a team that struggles away in Europe.
This is a team that arrives, dominates, and wins.
Tough, tough game ahead of us! Nothing is granted, absolutely nothing!
Mia San Mia 🔴🔴
#bayern #psg
This is really big news. Google introduced the Open Knowledge Format (OKF) - a standardized way to store information in a directory of markdown files. Makes it really easy to make a digital brain that agents can use.
These files can serve as a living wiki. You can give agents the ability to query them or edit them. They can interlink.
Seems to me this could replace Notion or Obsidian. I can think of so many uses for this.
Google's blog post:
An easier to understand explanation is the SPEC.md file:
I gave those two links to Antigravity and asked how we could use it for any of the projects we're working on. It came up with so many ideas. I would imagine Claude Fable 5 would whip up some pretty amazing things based on this system.
Currently creating an OKF library of our pepper garden. It's going to be a fun weekend.
I built Obsidian from Scratch in 4 steps with 13+ Kimi Agents.
This app hit 3M downloads in a single month and is now the #3 most-downloaded app in South Korea, sitting ahead of Google Gemini and Claude
🧵 The West hasn't caught up yet, but here's what's happening:
The next phase of Tickr has arrived 🔥
Connect your wallet to create a profile and reserve your username.
First up, real-time chat with 2 dedicated rooms for active markets and pre-markets - drop alpha, call for LP support, it's the new trollbox for prediction markets.
Profiles lay the foundations for the next suite of features we have planned, expect personalised market groups, support for @pmx_trade 2xLP bonding and more ✨
Because this has gotten some recent attention again.
Apex Legends has bugged FPS ranges, like 140-160FPS for example, where you are severely magnetized to the floor when trying to Slidehop.
This Issue has existed for it's entire Lifetime and has been raised to Respawn multiple times.
That this still hasn't been addressed in a self proclaimed Movement shooter is completely unbelievable. So i'm once again calling public attention to it in yet another attempt to get this actually looked at.
If you regularly reach the following FPS Ranges you HAVE TO Cap your FPS below them to prevent this magnetization issue.
- 65-85FPS
- 140-160FPS
- 205-230FPS
- 275-300FPS
Even very shallow inclines extend these ranges even further.
If you regularly reach FPS in these ranges use the +fps_max command to cap your FPS below one of these ranges. For example “+fps_max 270”.
To be safe around inclines set your fps cap 5-10FPS below these ranges.
I can guarantee you there will be people under this post utterly flabbergasted that this was the issue all along for why their movement felt so much shittier compared to the smooth movement of the Content creators they watch.
ADHD people screenshotting and bookmarking everything because they're afraid of losing ideas, only to never look at them again because the archive is now its own overwhelming problem.
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:
- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)
The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.
https://github.com/karpathy/autoresearch
Part code, part sci-fi, and a pinch of psychosis :)
CRAZY: 🇯🇵 Japan is now the first country ever to generate electricity in space and send it back to earth!
How do you create a frequency so strong that reality obeys you?
@MrWhaleREAL $MOCK IS LEGENDARY 🚀
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