Sold my ETH last week Sold my BTC a few days later Just sold my LINK All so I could buy submeth My name is Intern, and I'm a $TAO-coholic

It’s no accident @IOTA_SN9 is kicking ass. @Apex_SN1 has been on it since December and now on its third competition to optimize 9 This one uses a 9 simulator, asking miners to optimise path planning/network topology @MacrocosmosAI PhDs and two IMs? Honey, back the truck up

If you use Windows, you need to read this. Microsoft's AI takes screenshots of your screen every few seconds, your banking, your messages, your passwords as you type them. It stores everything you've looked at, searchable. Here are 5 moves to shut it off, and check if it's already been recording:

#Bittensor Subnet 106 - @nodex0_ has some very novel ideas for their project. They've previously competed with Targon, lium.io, and Green Compute, but are setting their eyes on a bigger target now with their comeback and move to a new SN. In their own words; "conviction allowance. perpetually lock alpha to 106 and the network pays you compute every single day. stake never spent, still earning yield. holders stop being spectators and become users." After this initial goal of theirs, they plan to moving on to fry bigger fish. "phase 2: tokenized sub-subnets. specialized compute markets inside 106, each with its own token priced in 106 alpha, emissions flowing into their liquidity pools. dTAO one level down. nobody has done it." An expansion of the $tao system into another layer of subnets? The matrix within the matrix? These are pretty big plans, especially when they've said it themselves; nobody has ever done this before. What they have going for them is the fact that they've been a part of the ecosystem for a while already. They're now scaling up. Excited to see what direction this takes. In the meantime, here is a sneak peak of their idea:

JUST IN: Andrej Karpathy, a top AI scientist at Anthropic, is reportedly barred from accessing the company’s most advanced AI model because he is not a U.S. citizen.

The best teachers will be LLMs. The best feedback will be monetary. The best models will train competitively. The best AI company will be co-owned. The best software will be open source. And there is only one way to get all of it.

> be jacob steeves - @const_reborn > math cs kid from simon fraser > software engineer at google > realizes AI is owned by a handful of companies > hates it > quits to build the opposite with $TAO > takes bitcoin's idea: pay people to do useful work > points it at intelligence itself > co-founds bittensor with ala shaabana > miners produce AI > validators grade it > $TAO pays whoever's best > no lab, no gatekeeper > just an open market for intelligence > everyone calls it a science project > "why would i use this over claude" > then one day the centralized one goes dark > "claude fable is no longer available" > no warning > no vote > no appeal > millions realize they were renting intelligence > and the landlord changed the locks > suddenly a model nobody can switch off doesn't sound crazy > suddenly bittensor makes sense jacob steeves built the answer years before anyone asked the question that's the day they finally get $TAO

There’s only one ecosystem that’s spent the last 3 years working on building the entire stack required to produce intelligence with no reliance on centralized companies Bittensor has been preparing to go to war for a while now

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SOMEONE VIBE CODED A VIDEO STREAM THAT IS SECRETLY 100% TEXT SO IT CANT BE BLOCKED it plays 360p video at 30fps, but theres no actual video on the page. every frame is just colored text characters being repainted on a canvas to the browser its not media at all, its javascript updating some text its called asciline, and here's the trick: > the server decodes the real video and streams it as binary packed text over websockets > the browser paints thousands of colored block characters fast enough to look like 360p > ad blockers and autoplay blockers cant catch it because theres no video element to catch > it streams in kilobytes since its just strings, so it runs on trash internet since the video is literally text, you can apply css glows to it, let people copy paste a moving frame, or feed it straight to a local llm however, an unblockable stream is also an unblockable ad as well

Claims will be SN 111. We're super excited to join the network! Thank you to everyone who supported and believed in us so far. Now we'll roll up the sleeves and start making it happen. 🔥

That is what we are building, and the miners on our subnet are the engine. The incentive mechanism turned an open, adversarial competition into a model that beats the giants at its job. Point the same mechanism at the next task and it does it again.

NEWS: Bittensor governance pauses emissions to Subnet 104 due to inactivity and misalignment with network purpose. Citing the following reasons: • Subnet publicly listed as "for sale", owner confirmed no work is happening until sold • No public repo, validator code, website, or spec, nothing to independently verify • Metagraph shows 1 of 64 UIDs serving an axon while emissions continue • Long history of hyperparameter changes obstructing validators (kappa, commit-reveal, burn, immunity, bonds MA) • Stake and validator control concentrated around the owner's own hotkeys

POV: Me and the SpaceX lunch lady when she becomes a millionaire after the IPO.

"all I want is to build an agent that makes itself money, and then gets more data and compute to become better, and make itself more money." just make babies bro

me when I sell root for alpha cause I'm overexposed to Bittensor 😂

NEW: malware developers added nuclear & biological weapons text to to their spyware. Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner. Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky. When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit. We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted. In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation. H/T to colleagues that shared this with me socket.dev/blog/mini-shai-hu…

initiate v0.1 of identifying as a robot