Supernet AI 🌐

When an app assumes they know your preferences but shows no way to verify this You're operating on faith, not facts. Introducing Proof of Context.

Proof of Context at RSA Conference week. Our CEO @jbruce breaks down why verifiable AI memory is the missing layer in AI security frameworks. See you there, SuperNerds!

LLM down? you lose access to months of work. Security breached? your private data is exposed. None of these should be existential risks to your digital identity Own your data and the risk is eliminated.

You lock your front door but leave your digital thoughts out in the open. How do you feel that the most personal conversations of your life are sitting on unkown servers?

SuperNews 🗞️ Government-built iPhone hacking tools just ended up in criminal hands Google discovered "Coruna" an exploit kit designed for state surveillance now being sold to cybercriminals The pipeline: → Government commissions hacking tools → Tools target iPhone vulnerabilities → Tools leak or get resold → Now anyone can exploit your phone This isn't hypothetical It already happened with Pegasus It happened with Hacking Team Now it's happening again The pattern is always the same Centralized data + powerful exploits = inevitable breach Your private photos, messages, location, All stored on one device and accessible through one vulnerability When everything lives in one place One exploit is all it takes.

@shakoistsLog How much context do you have built up in Claude Code? weeks of conversations? your workflow state. All of that stays locked there, and switching causes you to start over again from zero.

i need you be really serious with you guys for a second, no trolling. gpt 5.4 xhigh codex is like 50% smarter than opus 4.6 in claude code. maybe 70%. if you need intelligence make the switch.

Centralized data storage is a single point of failure. Only one breach away from demise.

@mishadavinci Decentralized intelligence needs decentralized memory.

Decentralized intelligence is the future. Your AI. Owned by you.

How much privacy are you willing to give up to your AI? We asked people around on the events of Consensus Hong Kong and ETH Denver on what they think. Check out what they have to say 👇

We’re very honored to welcome Juan Bruce (@jbruce), CEO of Supernet AI(@Supernet_AI), as the guest of this episode of AITopia, where we explore cutting-edge AI technologies and how Supernet is being applied in real-world building scenarios. One of the hardest challenges in AI and agent interaction is memory. As conversations get longer, LLMs often become more prone to hallucinations, memory drift, or context confusion. This becomes even more complex when different models or agents are responsible for very different domains, such as one handling daily life and another managing financial tasks. In this context, the memory layer becomes the key to creating more unified, reliable, and optimized interactions. That is exactly the problem Supernet AI is built to solve. During the conversation, Juan shared a number of fascinating real-world examples, including the recent OpenClaw trend. Supernet has also been internally testing SuperClaw, a new solution designed to seamlessly and securely integrate multiple agents into autonomous multi-tasking agents that better align with human needs. The full podcast episode will be released soon.

@Polymarket China banning OpenClaw from government agencies highlights the fundamental problem of unverifiable security.

JUST IN: Chinese authorities will begin to restrict use of OpenClaw AI in government agencies due to security risks.

If you’re curious about what happens when AI can actually remember, this conversation is worth tuning into. 🧠

Who should benefit off the memory that makes your AI personal? The platform or you? Having "sovereignty" is your right to own the memory that you shaped into your AI. Data, preferences, all the context that makes it yours. The answer seems simple, but the fact that it's not the current reality is the problem. People have normalized handing over their most personal data to platforms that treat it as a business asset. Don't just follow the herd. Imagine what changes when your AI memory is actually yours: portable, private, working for you across any platform. That's not mere fantasy, that's what happens when you stop accepting the status quo.

A solid AI tool needs a solid memory And this memory needs sovereignty to ensure privacy. That's the layer we're building SuperNet.

@alliekmiller An expert implying "being okay your data will leak" is a systemic failure. Users should demand verifiable security. Not trust blindly. Cryptographic proof of access and audit trails. This should be the standard for agent infrastructure. 👁️

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

@wolfofereum Either way, can users verify or control what happens to their data? No. Platform-owned data means blindly trusting their principles wont screw you over. 👁️

Anthropic turned down a pentagon contract because they wouldn't agree to let their AI be used for surveillance. OpenAI took the same contract hours later. Two very different companies making two very different bets on where AI is headed.

@farokh If memory was portable, switching wouldn't mean starting over. 👁️

I swapped ChatGPT for Claude about a month ago on my iPhone main screen to use it more and just switched back to ChatGPT. I constantly have to correct with Claude because it makes mistakes or is just overall slow and not good enough. Just my experience, I don’t use it in the way as most people do perhaps, but for the day-to-day, it’s been pretty shit.

@ashen_one If your conversation's context was portable across AI platforms, you'd continue on ChatGPT without losing progress 👁️

i wouldnt wish this on my worst enemy. wtf am i supposed to do now btw has anyone elses claude max sub been used up extra fast this week? i've literally NEVER hit this limit before ALSO: i tried switching to sonnet only and im still rate limited WHAT NOW??

@cursor_ai Automations across GitHub, Slack, Notion, and Datadog need context memory that spans through all of them. SuperNet solves this by enabling portable, and verifiable memory that works across platforms 👁️

We're introducing Cursor Automations to build always-on agents.

@garrytan If your workflow state was portable across AI tools, you'd switch to another model and keep building. Something to consider👁️

feels bad man

@Xeer The "ran out of credits" highlights the problem with platform dependency. If you ever want to switch and continue elsewhere, you'd have to rebuild from zero.

so far, i've used perplexity computer for: > daily crypto x AI briefing for myself > personal website xeerdotme (link in bio) > personal health dashboard > family finance tracker > arbitrage scanner bot > personal generative art project unfortunately some of it is unfinished since i ran out of credits but pretty happy with what i've already achieved.