takuski retweeted
CANCER HAS SEVERAL CURES.
Doctors are MK Ultra programmed to give chemo and radiation.
takuski retweeted
Victorian Premier Jacinta Allan has announced a long-term medical research partnership with Israel’s leading hospitals.
She says the partnership will help Australians reconnect with what Israel has given the world, highlighting the shared values between Victoria and Israel.
takuski retweeted
⚠️ Definitely DO NOT point a 1000nm wavelength green laser at Flock cameras. It totally won't damage the sensor and render the camera ineffective.
So please don't consider it, okay?
I never understood this part of DIEM. Does this mean you can buy it then burn it and get more VVV back?
takuski retweeted
Bayer has just SUED Pfizer, BioNTech, Moderna and Johnson & Johnson in federal court.
Because the mRNA stabilisation technology used in every single COVID vaccine injected into your kids, your parents, your pregnant friends, your grandmother in the care home was patented by Monsanto in the 1980s for CROPS.
And the company that owns the patent is now in court demanding royalties.
This is not a conspiracy theory. This is Bayer's own lawyers, in Bayer's own filings, on the public record. They are literally arguing in federal court that their agricultural genetic modification technology was copied and injected into human beings WITHOUT A LICENSE.
Meanwhile Moderna just paid Roivant $2.25 BILLION to settle a separate mRNA patent lawsuit. BioNTech is suing Moderna. GSK is suing Moderna. Everyone is suing everyone. The patent fights alone are going to cost these companies tens of billions of dollars.
If Bayer is right, then every single "safety study" that was rushed through in 2020 was looking at the wrong thing. They were testing a vaccine. They were not testing an agricultural genetic modification platform being used in humans for the first time.
I have been saying this since 2021.
The same institutions that LIED to you about Iraq having WMDs, about the 2008 bailouts being a "one time thing", about inflation being transitory, about Epstein killing himself, those are the SAME institutions that told you to take a shot based on two months of trial data.
If you still trust them after THIS one, I genuinely do not know what to tell you.
Wake up. Get healthy. Get off their food. Get off their media. Get off their system.
takuski retweeted
Australian Gov’t Redacts Every Single Word of 78-Page Report on Covid Vaccine Batch Tests:
tga.gov.au/sites/default/fil…
Nothing says transparency quite like 78 fully blacked out pages.
That pesky bad batch data ...
reflects very badly on good manufacturing practices I would suspect.
@BarryYoungNZ and @LizGunnNZ and myself raised serious concerns about batch safety based on his data ....and the authorities went apeshit. ( A law fare attack on Barry and massive clean-up operation )
@RennickGBR @craigkellyAFEE @JimFergusonUK @stkirsch @cafelockedout @chrismartenson @AwakenWithJP @TuckerCarlson @Lighthouse_Dec
takuski retweeted
Today, we're introducing Spectre I, the first smart device to stop unwanted audio recordings.
We live in a world of always-on listening devices.
Smart devices and AI dominate our world in business and private conversations.
With Deveillance, you will @be_inaudible.
takuski retweeted
Venice.ai is already today this "unlinkable inference layer," a "VPN for AI"
Use any model (ChatGPT/Claude/Gemini/Grok) through Venice pseudonymously.
Can we build a blind, *unlinkable inference* layer where ChatGPT/Claude/Gemini can't tell which call came from which users, like a “VPN for AI inference”?
Yes! Blog post below + we built it into open source infra/chat app and served >15k prompts at Stanford so far. How it helps with AI user privacy:
# The AI user privacy problem
If you ask AI to analyze your ChatGPT history today, it’s surprisingly easy to infer your demographics, health, immigration status, and political beliefs. Every prompt we send accumulates into an (identity-linked) profile that the AI lab controls completely and indefinitely. At a minimum this is a goldmine for ads (as we know now). A bigger issue is the concentration of power: AI labs can easily become (or asked to become) a Cambridge Analytica, whistleblow your immigration status, or work with health insurance to adjust your premium if they so choose.
This is a uniquely worse problem than search engines because your average query is now more revealing (not just keywords), interactive, and intelligence is now cheap. Despite this, most of us still want these remote models; they’re just too good and convenient! (this is aka the "privacy paradox".)
# Unlinkable inference as a user privacy architecture
The idea of unlinkable inference is to add privacy while preserving access to the remote models controlled by someone else. A “privacy wrapper” or “VPN for AI inference”, so to speak.
Concretely, it’s a blind inference middle layer that:
(1) consists of decentralized proxies that anyone can operate;
(2) blindly authenticates requests (via blind signatures / RFC9474,9578) so requests are provably sandboxed from each other and from user identity;
(3) relays prompts over randomly chosen proxies that don’t see or log traffic (via client-side ephemeral keys or hosting in TEEs); and
(4) the provider simply sees a mixed pool of anonymous prompts from the proxies. No state, pseudonyms, or linkable metadata.
If you squint, an unlinkable inference layer is essentially a vendor for per-request, anonymous, ephemeral AI access credentials (for users or agents alike). It partitions your context so that user tracking is drastically harder.
Obviously, unlinkability isn’t a silver bullet: the prompt itself still goes to the remote model and can leak privacy (so don't use our chat app for a therapy session!). It aims to combat *longitudinal tracking* as a major threat to user privacy, and its statistical power increases quickly by mixing more users and requests.
Unlinkability can be applied at any granularity. For an AI chat app, you can unlinkably request a fresh ephemeral key for every session so tracking is virtually impossible.
# The Open Anonymity Project
We started this project with the belief that intelligence should be a truly public utility. Like water and electricity, providers should be compensated by usage, not who you are or what you do with it. We think unlinkable inference is a first step towards this “intelligence neutrality”.
# Try it out! It’s quite practical
- Chat app “oa-chat”: chat.openanonymity.ai/
(<20 seconds to get going)
- Blog post that should be a fun read: openanonymity.ai/blog/unlink…
- Project page: openanonymity.ai/
- GitHub: github.com/OpenAnonymity
takuski retweeted
DIEM is the only crypto token that enables free (and private) use of Clawdbot/@openclaw
1. Create Venice.ai account and stake DIEM
2. Install @openclaw and select Venice as inference provider
3. Choose Opus 4.5 or Kimi K2.5 (latter is nearly as intelligent but totally private) as model
Each DIEM staked gets you 100 credits renewing daily of inference. You can sell the DIEM when you're done.
Get DIEM here on @base @aeroxyz
aerodrome.finance/swap?from=…
takuski retweeted
Anyone can use clawdbot/moltbot with kimi 2.5 via Venice.ai easily. Choose Venice during the clawdbot setup.
Totally private, zero data retention.
kimi 2.5 is the best model for clawdbot/moltbot right now. almost opus 4.5 quality but 95% cheaper.
but there is a catch: moonshot api sends your data to china
heres how to fix it: serve it through openrouter instead. turn on ZDR (zero data retention).
pick fireworks as provider who are located in the US and have a no logs policy
takuski retweeted
People are discovering that DIEM gets you access to all AI models for free, in both the Venice.ai app or API.
• Claude Opus 4.5
• GPT 5.1
• Gemini 3
• Nano Banana Pro
• GLM 4.7
• Many others
Buy at Aerodrome on @base
aerodrome.finance/swap?from=…
takuski retweeted
Nerdy tokenomics post...
Venice released an experimental token design for accessing AI compute back in Sept, called DIEM
Staking DIEM grants access to any AI model on Venice for free (1 DIEM = $1 of renewing daily credits): it makes the marginal cost of compute free.
At first, it was API access only (no web), and only a few open-source models.
In Oct-Nov we allowed its use on the Venice web app (no longer API only), and then started adding all the leading external AI models to Venice.
Today, users can access Claude Open 4.5, Gemini 3, Nano Banana Pro, GPT 5, etc from Venice. This is both convenient (all the models in one interface), but also provides additional privacy (pseudonymity vis-a-vis Anthropic, Google, OpenAI, etc). These models are unequivocally the best in their respective categories.
Meanwhile Venice's userbase (both app and API) has continued growing.
And now we're seeing the tokenomics of DIEM start to play out... seven consecutive weeks of green candles amid a sideways or down broader market.
Why is it happening?
Imaging paying $100 to get $1 every day of AI credit. No brainer... especially because you can sell the DIEM back when done.
So people bought at $100 to use it and price of DIEM rose
At $200 it's still a no brainer, so price kept rising. Today it hit $300. What's $1/day worth as an asset?
Here's the mechanical part... as DIEM is bought and staked for AI compute, the rising price incentivizes VVV holders to mint more of it.
DIEM can only be created ("minted") from VVV, but as DIEM supply rises, the "mint rate" also rises, meaning it takes more VVV to mint 1 DIEM. This occurs along an algorithmic exponential curve.
Minting DIEM locks the VVV in an amount according to the mint rate. It can only be unlocked by repaying same qty of DIEM at any later date. This destroys the DIEM and releases the VVV.
DIEM's utility is flowing it toward usage and price is rising. This means increasing amounts of VVV are getting locked away (today over 6.3m VVV is locked, nearly 10% of total supply).
The more useful AI consumers find DIEM, the higher they'll bid for its scarce supply, which raises price, and locks further VVV on an exponential curve.
Equilibrium is eventually found when opportunity cost of capital paid for DIEM is no longer lower than marginal utility of the AI compute it can obtain. Someone should happily pay $100 for $1/day but prob shouldn't pay $10k for the same... as the NPV of the yield of $10k should be higher than just paying $1/day of cash for credits. Once that DIEM price is found, the amount of VVV locked also finds equilibrium.
As VVV is locked for this purpose, a portion of emissions flows to Venice, compensating for the costs of the AI compute its providing for free. Venice can control something called the "Target Supply" of DIEM, raising it up or down, which changes the mint rate which affects (but doesn't control) supply. If costs become too onerous to Venice, it reduces Target Supply, and it disincentives further minting, bringing equilibrium of supply back down at any given DIEM price.
We have no idea where these equilibria will or should be, but we know they exist.
Perhaps you'll find this set of mechanisms interesting, and I hope they'll inspire other experiments.
I wonder how long until sophisticated AI agents truly dive into the exploration of tokenomics as a vast design space... perhaps they already are? Perhaps they were involved in DIEM's design?
venice.ai/blog/introducing-d…
$DIEM $VVV @AskVenice
