if you’re automating anything, and you’re not using TAP, you’re missing out >> full aws/azure/dns devops automation >> full finance + bank loop engineering >> scale policies securely to entire teams

cars are starting to pay for things on their own @hebbianloop, in @Investingcom today, on what has to exist first: "Give me hard spending limits, clear receipts, an instant off switch, and a named company responsible for resolving mistakes" investing.com/analysis/the-a…

Zebrafish NN It’s pretty amazing to learn that efforts to map the fruit FLY connectome (brain synapses) were successful and its amazing to see the digital fly brain successfully complete a whole series of tasks, including complex navigation of open worlds. The fruit fly is 160,000 neurons and 10^7 synapses. Teams are currently doing the same thing with a zebrafish which has a similar scale neuron count but 10x more synapses. Fly was 100TB raw data and Zebrafish is 200TB, so about 2x the raw data. For context a rodent is 70m neurons and 10^11 synapses. Rodents will come later. But this method looks like it creates totally outsized results with absolutely miniscule models. Zebrafish NN is a vertebrae connectome, it has much of the same basic structure as other vertebrae, unlike FLY connectome. We are just about used to LLMs and coding, but AI is really just beginning and there is a lot more, and a lot weirder stuff coming down the pipe. These connectomes have already shown to be incredibly resilient, you can blind their sensors and injure their outputs and they still succeed. They are incredibly compact. A whole lot of inanimate objects are going to get complete autonomy, totally offline, air gapped autonomy. They will be delivering pizzas and fighting wars. Connectomics is an opposite approach to LLMs but you can of course use LLMs to help develop connectomes. It’s amazing that you can take a biologically evolved brain, map it, produce a digital twin, and then run it at machine speed. Imagine a human brain accelerated from 100Hz neuron fires to 3,200,000,000Hz that a typical CPU runs at. That’s 30 million times faster. But would need 1-2 exabytes to map. Anyway “Zebrafish” is next.

Gen Alpha is bien-griller

the dot com bubble gave us the google search bar the llm bubble will gift us the human.tech action bar

go autonomous without setting skynet loose on humanity

I dont think people are ready for whats coming. I've cancelled our company subs to deel, quickbooks, pulley, calendly, etc. In a single prompt I can run HR flows linked to our company bank account, internal personnel docs, and our comms channels. this is only safe bc of tap

Hey @suidevelopers! Agents on @SuiNetwork are SAFU with @humntech No keys just signatures 🙅‍♂️prompt injections 🙅‍♂️rogue agents 🙅‍♂️malware > npm install -g @human.tech/waap-cli > waap-cli signup > waap-cli policy set --daily-spend-limit 100 docs.waap.human.tech/for-age…

the crypto industry is deadass one Privy hack away from being fully nuked out of existence

privy reconstructs your full private key inside their own enclave every time you sign, 2 of 3 shamir shares get pulled together, briefly the whole key exists, inside infra one company controls(stripe, since the acquisition) @WaaPxyz in squid mode never reconstructs anything. ika computes the signature via 2pc-mpc, the key is never whole, anywhere, ever. it takes human.tech's enclave AND ika's independent network(50+ nodes) both agreeing, not one company holding the bag - policy enforced at signing time, on every chain(evm, sui, solana) - neither side can move funds alone - built for agents too, bounded permission instead of a raw key integrate:

I don’t talk about this enough, but the world would be a very different place if self custody was more common place, inverting the model we have come to expect with using apps with everything going on, all the uncertainty we should at least be certain we own ourselves

this is the magic of @ikadotxyz a non-custodial, decentralized competitor to privy is now live, for humans and agents

big news today! human.tech wallets can now transact on any secp256k1 or ed25519 chain without contract, infra, or a pre-existing config powered by @SuiNetwork 🕊️ freedom begins with self-custody 🧵

we are live nitter.net/i/spaces/1jxXgBzenQPJZ…

this is insane. like no really. how am I just hearing about neural dust, an injection of nanotech that crosses the blood-brain-barrier and controlled by ultrasound envisioning.com/cortex/techn…

any team would be lucky to have Angelica - bonafide technoptimist and one of the best story tellers out there. There’s not many that can bring multiple modalities together to tell a clean narrative, especially in tech

if you are a scientist pushing at the edges, you need to take a look at reactorfield

privacy

it’s easy to write this off as just another bridge but it’s difficult to understate the complexity of the engineering synchrony that had to come together across 2 years, 2 separate teams of engineers, dozens of infra providers just to build things the RIGHT WAY, no short cuts

privacy is for all humans and their agents

takeaways from AGI summit: - many people working on making agents smarter for particular tasks (finance, collaboration, outboudn marketing, deterministic tasks, self-improvement, video generation...) - most companies working on the harness layer followed by interface layer - many use cases of TAP (people struggled with env var leakage, enterprise readiness, difficulty in unifying MCP servers) - enterprise adoption is *fast*: six-month old startups working with multiple billion-dollar corporations was not a rare occurance. all sizes of companies are in a rush to be AI-native and they will adopt new tools even if they just launched. The main takeway is that the harness and interface layers still need a ton of work. everyone is building those because they are important, and there is a ton of demand.