reminds me of this
watch the formation of a jupiter looking object and the subsequent half life of the macro object at this relative measurement perspective
the water must coalesce but does it do it smoothly or discretely we all know the real answer to that
digital universe is
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Journalistes franΓ§ais en ce moment :
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Coke vs. Pepsi, but the ants decide
LinkTOAD goldnutter π⬑⬒π π‘ logic/acc truth/acc retweeted
LinkTOAD goldnutter π⬑⬒π π‘ logic/acc truth/acc retweeted
ITβS HAPPENING.
France is watching its streets descend into chaos.
Riots. Looting. Burning barricades. Police struggling to restore order.
Meanwhile, French 10-year bond yields are approaching 5%.
Decades of political denial, failed policies and reckless spending are catching up.
You can pretend your country is thriving while its streets burn and its debt spirals out of control.
But financial markets donβt care about political fairy tales.
BOND MARKETS NEVER LIE.
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AI agents that hunt security bugs spend 60.4% of their tokens understanding code and reasoning about how to trigger the bug, so that is where cost cuts should aim.
AI agents hunting security bugs can burn millions of tokens without producing an input that crashes the program. Across 200 runs from 4 agents, 60.4% of tokens went to understanding code and reasoning about how to trigger the bug.
Existing cost-saving methods rarely helped. Only 24.4% of head-to-head comparisons with the plain agent kept success at lower cost.
So they built AVRI, a tool that returns related code together and saves the links between program input and the unsafe operation. On 20 new tasks, it cut total cost by 18.0% for Codex and 23.7% for OpenCode without lowering success or recall.
Before adding generic cost tricks to a security agent, measure where its tokens go and let it reuse what it learned about the code.
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The internet remains undefeated.
π€£ππ€£ππ€£ππππππ
LinkTOAD goldnutter π⬑⬒π π‘ logic/acc truth/acc retweeted
Imagine this. Your boss calls and asks for your help. Itβs urgent. Itβs definitely him: you can see and hear him clearly.
But what if it isnβt? Deepfake technology has evolved rapidly. AI can now replicate real faces, voices and behaviours using just a few photos, videos or audio clips found online.
The threat extends beyond the workplace; scammers can impersonate friends and family, preying on emotion and creating a false sense of urgency to make you act quickly.
So what should you do?
π΅ Donβt rush. Even if you believe youβre speaking to someone you trust, take a moment to assess the situation.
π΅ Verify. Hang up and call the person back on their usual number.
π΅ Use a safeword. Establish a secret phrase with close contacts.
π΅ Secure your accounts. Turn on two-factor authentication everywhere. Activate multi-step verification for large business transactions.
π΅ Report it. If you suspect a scam, contact local law enforcement immediately.
π΅ Train your teams. Business owners: make sure your staff are trained to recognise phishing, vishing and other social engineering tactics.
Wait. Validate. #DontTakeTheBait
Find out more β‘οΈ π interpol.int/en/News-and-Eveβ¦
Funded by π―π΅
π€ Made with AI
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GitHub Decoded: the follow up
Since yesterdayβs keeta.md post, more has landed on Keetaβs public GitHub. Only the new bits:
1) Bivoβs digital dollar is getting a new name: $KBUSD (and $KBEUR for euros). A converter already live on Keeta swaps them 1:1 with Keetaβs own dollar, $KUSD. One Keeta dollar, many issuers plugging in.
2) HopNow is now in the code, paying out to US bank accounts by ACH and instant RTP payments. Testing for now.
3) Keeta can now pay people on far more blockchains: Arbitrum, BNB Chain, Polygon, Avalanche, HyperEVM and Sonic, on top of Base, Ethereum and Solana. Robinhood Chain is set up too.
4) Usernames are coming. Both Keeta networks can now look people up by username instead of a long address.
5) AI agents are now tested daily with real $KTA on the live network. Not a demo.
6) The repo behind Keeta Compute was renamed this morning from βagentβskillsβ to βkeetaβinferenceβ. Itβs no longer a side project.
Connecting the dots (my speculation): more issuers, more banks, more chains, all settling through one Keeta dollar.
All public GitHub. Not financial advice.
@schenkty @KeetaNetwork $KTA
Keeta just quietly shipped something big on GitHub.
A brand new repo went live yesterday: KeetaNetwork/keeta.md
In plain English, itβs an instruction manual written for AI agents. Point any AI at it and it learns how to move real money on Keeta.
What those agents can do:
- Open a US bank account in your own name (Bivo)
- Pay out to banks in 60+ countries
- Send money to debit cards with Visa Direct
- Move funds to Base, Ethereum and Solana (Bridge, LayerZero)
- Verify identity once with Footprint
- Pay per API call with x402
Put that next to Keeta Compute, the AI marketplace I broke down yesterday (post quoted below), and the picture gets clear. Agents can earn, spend, bank and get paid out, all settling on one network.
@schenkty and @KeetaNetwork are building the payment rails for the agent economy, and most people havenβt clocked it yet.
keeta:native $kta
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Reminder that an anonymous Theranos employee discussed the whole fraud (without naming the company) on a popular subreddit years before the WSJ broke the story
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CBS just deleted this tweet calling rioters burning down Paris βscufflesβ after major backlash
You donβt hate the media enough
























