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Time to bring this up again , @Arcium’s Blackthorn is near its debut Like and Retweet ☂️

Today makes it the last day left for @stevewilldoit to pick up the challenge 50/100k challenge wraps up in a few hours w/ @gamdom , @gamdom_beekay , @kingadukes

What did I say about @backpack 3 days ago Solana is here , Injective is here Are you there 🫵🗿? .

Over the years I’ve written almost exclusively on privacy and my research on it in the crypto and AI space. Below is a thread of a few of my posts covering some of the most fundamental things you need to know about privacy to stay up to date. Enjoy!

Does any CT-native really not know him ?

Beautiful runner I gave you

Privacy projects that shipped aggressively during the bear market, you should pay attention to now that the markets are waking up. 1. @Arcium 2. @magicblock 3. @UmbraPrivacy 4. @benchdotmarkets 5. @looftapay 6. @meleemarkets 7. @STEALFxyz These are all within the solana ecosystem. If you have others, kindly drop a shout out below. Most teams, leave during the bear market. Others shut down, but only a select few keep shipping. These are the select few.

1 days left to pick up the challenge @stevewilldoit w/ @gamdom , @gamdom_beekay , @kingadukes

If you’ve paid attention at all to the broader AI sphere, you will have seen general conversations have moved toward products like: Muse, Town, Instinct, and Hark which are finding PMF in something more personalized. Honestly, at this point it’s a race to build assistants that can essentially take what large models are capable of and integrate a personalized experience for users and enterprise. The value prop was pretty clear when Instinct raised around $250m at a $2.5b valuation last month which is now reported in talks to raise another $1b at a $10b valuation, which is mind blowing I do understand the excitement behind these agents because if you have something that can remember work, help you follow through on plans, and take care of mundane or even important business you’d otherwise spend hours doing, it's appealing. I don’t think enough people understand how precious time truly is and this technology can help reclaim it in our personal lives, along with it also having a large opportunity to streamline business processes. These can easily find information across company systems, coordinate work, and follow through on some routine tasks that could save time cumulatively across organizations. Which all sounds great and can help explain some of the interest, but you would also be smart to wonder how much of that value can reliably be delivered If you understand how AI functions, your curiosity will steer toward how this could actually work. All of these tasks require access to information in your personal life and information that businesses run on (including internal convos, sensitive records, financial docs, etc.). The more responsibility that we give these assistants (and AI in general), the more emphasis will be placed on what they have access to, control, and what they’re allowed to do with it. This access has power creep because people that find it useful will find more use cases for the technology. It can start as a simple connection or summary that leads to an automatic workflow that requires a bit more access and snowballs from there. Overtime, a comfortability inherently sets in without further understanding of the inner mechanisms There is a great TechCrunch article that talks about this type of concern, specifically with Instinct. If you do a bit of digging you’ll see that Instinct’s terms actually say that disconnecting doesn’t automatically delete the information it has already collected and that it requires a separate request. These tiny hurtles required to fully remove data is exactly what people don’t understand As these assistants gain more access and responsibility, mistakes can have extreme consequences. They can be manipulated through prompts to provide information even if it wasn’t supposed to or make mistakes because it misunderstood a prompt that leaks something irreversible. This technology has no morals, it is simply attempting to complete a task the best way possible with the access and information it has. There are some that are more comfortable running this technology locally, maybe even some businesses so that they have infrastructure they control. But, this takes time, resources, and knowledge on top of the responsibility of keeping it running and free of issues 24/7 All of this leads to why private AI and encrypted computing are so exciting, especially within this context. There is a huge opportunity to make this type of technology equally capable, but more than likely, even more capable while also protecting the information and access that it has. Think about how much more useful these products could be if you felt comfortable bringing your actual life, work, and sensitive information into them: finances, personal plans, internal convos, business documents, healthcare data, honestly there is no ceiling. This is what we are targeting with Blackthorn at @Arcium: private inference that protects information while the AI uses it. The goal is to let people and businesses use capable AI with sensitive information without having to run the infra themselves Simple, powerful, <encrypted>

Sometimes I feel ; someone should just create a coin and call it “ $ALLYOUNEED ” Let all of us ape in , then , sell it to outer-CT folks at an agreed time … making it in life shouldn’t be hard

Well this is interesting to do 👀

Thanks for the update @bangjelkoski Check DM !

AI is the first major technological revolution where we know what happens when privacy is left out. This is why “privacy” is booming. Not just reflected in token prices, but how AI products are being rolled out. Let me explain: For the last 8 years, I’ve worked across a spectrum of privacy products, both consumer and B2B/infra. My passion for the space started with the work of Shoshana Zuboff and her writing on surveillance capitalism. Surveillance capitalism emerged from the economic structures that formed around the early internet. The dominant model made human experience legible, extractable, and exploitable. Search engines and the platform economy were instrumental in this shift, creating powerful new incentives around capturing attention, collecting data, and turning the user into the product. I saw blockchains as part of a structural response to this problem. But building privacy into public ledgers turned out to be incredibly hard. Privacy wasn’t considered at the architectural layer when much of the industry was first being built, and retrofitting has proven challenging. Now, there has been an incredible amount of progress in privacy infrastructure. Today, privacy is increasingly front and center for people serious about building the next generation of the internet. But what excites me most is that we’re now witnessing the biggest technological shift and arguably the biggest catalyst for privacy ever: AI. AI is changing the way we interact with information. Search is already being transformed as AI-generated answers increasingly replace the traditional journey from query → search results → website. Studies of Google’s AI Overviews have found significant reductions in outbound organic clicks when AI answers appear. And for the first time in my career, I’m seeing privacy being considered from first principles. AI creates a fundamentally different tension and dynamic with privacy. We have spent two decades learning the consequences of centralized data extraction: hacks, leaks, profiling, surveillance, and the gradual normalization of handing our most personal information to centralized platforms. The public is increasingly aware of that tradeoff. People hesitate to put sensitive information into AI chats, give agents access to their phones, finances, messages, or personal accounts. Organizations face the same concerns. Yet the paradox is that AI becomes more useful as it has more context. The more an AI understands about you, your work, your relationships, your preferences, and your environment, the more useful it can become. Untamed, we risk the biggest honeypot of sensitive data ever. But this where I think the story of privacy and AI is fundamentally different from the early internet. We didn’t really solve the privacy problem in the first wave of the internet. Native tech-driven, cryptographic solution lagged behind. Regulatory measures like the EU’s 1995 Data Protection Directive was an early attempt to establish a framework for protecting personal data, but it took more than two decades before the GDPR became applicable in 2018, which was broadly the result of lack of enforcement over the previous decade. AI is moving far faster but so are the privacy-preserving technologies and social awareness. We are developing cutting edge encrypted computing infra / privacy products alongside the technology that will consume enormous amounts of personal and organizational data, rather than trying to retrofit it decades later. That’s what makes this moment so exciting to me. At Arcium, we’ve been working toward this future for a long time. And we’re now on the verge of introducing some of the most advance private AI tech out there. Beyond the fear-mongering headlines and doomsday scenarios, I believe there is a future where AI works for us, accelerating human progress at phenomenal rates while preserving the things that make us the most human. This makes me extremely optimistic about that future.

Refresh and try again It’s fixed 👍

Uhhhhh …… @injective There’s 50 billion masked men and women waiting 🥷 ?

decent day so far Up next , $INJ community buyback by 2pm WAT 🫵

2 days left to pick up the challenge @stevewilldoit w/ @gamdom , @gamdom_beekay , @kingadukes