Eskender.eth

It don't matter. DeFai, DeFi, Internet Finance - crypto in 5.

@noturhandle @zostaff Oh shit

@zostaff @Esk3nder 👀

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

mcp is the most valid agent protocol

I see how some of you interact with agents and think to myself: "I would NEVER let my agent talk to me like that"

Terminal automation + e2e testing solved Now as simple as snapshot, click, type: – wterm renders terminal-in-html, every cell in the a11y tree – agent-browser automates pages via the a11y tree Here's opencode in one browser driving Claude Code in another

@jhleath dude! Makes so much sense

@_Dave__White_ I’ve really felt this over the last year or so. I used to define myself by my intensity but now I’m more comfortable or better able to define what’s “enough” but I feel the ghost of what used to be normal.

a lot of major arcs just ended in my life, and a lot of the systems and incentive structures that gave my life meaning are now less applicable in the ensuing space, i'm realizing, shit, i am almost 40 is there anything less cool? like maybe a lot of folks in tech i've thought of myself as a kid internally for most of my life. and my view of what "old people" were is kind of what it was when i was in my teens, which is like, cringe as fuck unless maybe you're like splinter in ninja turtles then i've always looked pretty young for my age (as all millenials seem to claim), and surrounded by younger people in tech, and kind of playing the same games as them in various ways. kept in good shape, etc. etc. but with a little space to look at it... man, i am just not a kid anymore. i'm not in my 20s. just not the case. they say like "youth is wasted on the young" and as a young person i thought that was a reference to the stuff everyone is always talking about -- physical appearance, energy, ability to not get hung over, etc. etc. and like i've noticed these things fading (some more than others), but it's not really felt like much of a surprise the thing that *is* hitting a bit more now, and which hurts like a motherfucker, is this sense of like... a loss of intensity. all the stuff that seemed just SO IMPORTANT when i was a kid, well, i still want it, but... a lot less? and when i get tastes of it i'm finding the intensity of it is so much less it appears what's left is, like, quiet wholesome pleasures like time with people i love, going to a nice diner and getting good scrambled eggs, walking through the park, all that stuff. which is beautiful but also dear GOD is it lame as fuck doubtlessly there is beautiful maturation and reward on the other side, i will keep you all posted

problem: Most people use their personal ai subscriptions at work, so the enterprise leaks valuable context. solution: Could be you!

@sanchitmonga22 Sick! Subscribed 🫡

Launching Inference Radar: our new weekly newsletter that tracks the top 130+ inference repositories, monitoring every commit, release, code change, and emerging trend across the ecosystem, then distills it all into one clear briefing.

Congrats to the @brix_money team! One of the hardest working teams in the space.

bearish AI on my machine bullish AI on a machine cloud ai will be ubiquitous

where can I short per-seat pricing?

@_margaretzhang @latentius @a16z @speedrun @ThirdbrainLabs super cool, you support gemma 4?

Every company will become a portfolio of AI brains. Almost none know how to build one. @latentius and I joined @a16z @speedrun to build @ThirdbrainLabs -- the post-training layer that turns your data and expertise into models you actually own. Data in. Your model out. Continuously improved. No heavy consultancy or bundling different data and training solutions - it's about time we had a scalable, technical platform delivering specialized intelligence for all.

@signulll @Skye signed up!

excited to share what we have been up to. your iphone’s home screen hasn’t changed in ~20 years. it’s the same static grid of icons since launch with zero awareness of your actual life. @skye is a new agentic home screen for iphone. no telegram. no mac mini. & no claws required. skye is ambient intelligence that just works. it continuously listens to your context & acts on it. it builds your reading lists, gives you personalized weather, drafts email replies, prepares you for meetings & trips, flags suspicious charges, works through your reminders, tracks your health, & gives you one tap intel on wherever you are (restaurants, museums, neighborhoods, etc). all surfaced on your home screen. over the next few posts i’ll break down how it works, why we built it, & why we think it deserves to exist in the world. beta starts today. if you’re on the list, you’ll get access very soon. app store shortly after. deeply appreciate you all following along on this fun little journey. also please join our discord !

Ramp is now my corporate spirit animal

Introducing Latent Briefing, a way for agents to quickly share their relevant memory directly. Result: 31% fewer tokens used, same accuracy. Multi-agent systems are powerful, but can be wildly inefficient. They pass context as tokens, so costs explode and signal gets lost. We built an algorithm that allows agents to communicate KV cache to KV cache.

@binji_x @archetypevc

which vcs are actively deploying capital right now? have some great people who will be looking :)

for everyone trying to build ai products or whatever there's literally just one product to build. any successful llm app is literally just: llm in a for loop with tools and prompts products like these scale with intelligence, and will continue improving exponentially, so maybe don't try to innovate over this (many such cases)

Get out of your bubble: the biggest hacks in history were for crypto, and North Korea’s nuclear program is funded that way Nobody much gives a shit about JPM or BofA since there isn’t a way to move or launder 100s of millions in offchain assets anyhow. In crypto code *is* money. forbes.com/sites/stephenp…

anthropic running the exact same marketing playbook with every release. “our model is so capable and dangerous, ahh we are afraid to release it”. just put the model in the bag lil bro.