Cybersecurity Engineer Stellar Ambassador Open Source Contributor @StellarOrg https://nitter.cf/t.co/YQdC4EerZ7
Santa Catarina, Brasil
Joined October 2021
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My fix for duplicate notes in Stellar Private Payments has been merged into Nethermind’s repo. It prevents disclosure receipts from overstating balances. Thanks to Fantoni0 and the Nethermind team for the review and guidance. @BuildOnStellar @Nethermind
github.com/NethermindEth/ste…
how to get rich in web3 (without scamming):
learn to find Critical & High Severity vulnerabilities in web3 projects' code
this space's been printing millionaires for years now, easy - all guys who've truly put in the work daily have made it - be the next one🫡
manuel galmanus retweeted
Link to research: rubyhack.ai/
Your AI agent lies with a straight face: it states a wrong number as confidently as a right one.
Prompting does not fix that. So I built a grounding guard: every hard fact must trace to a tool output this turn, or the turn does not close.
medium.com/@m.galmanus/your-…
Most teams defend the jewel: the highest-value asset.
I built two tools: one computes that choke by counterfactual, the other models the adversary as an agent that responds.
medium.com/@m.galmanus/offen…
manuel galmanus retweeted
Today, @usbank announced a successful live pilot of USBDC, the bank's proprietary USD-backed stablecoin, on the Stellar network.
USBDC is one of the first bank-issued stablecoins deployed on a public blockchain.
Traditional finance meets innovation on Stellar.
manuel galmanus retweeted
I’m grateful to have been a Mathematician in the last period in history when Math was a human occupation.
Sic transit Gloria Mundi.
Merged to main on Nethermind's stellar-private-payments. Cut test symbols from prod wasm. @BuildOnStellar
It would be an honor for me to make this small contribution to Stellar @BuildOnStellar
manuel galmanus retweeted
there’s almost no downside and that’s the weird part
Elon Musk shared an idea that pulled 27 million views:
“stop chasing startups. own boring pieces of the internet and let bots operate them”
that’s basically what Grok Bot is doing now. and outside the subscription, the setup costs $0:
→ make a bot and call it Mogul
→ give it one job: find a boring niche people search for every single day (it scans X and reddit complaints live, because it’s grok)
→ it builds a small directory site locally and publishes one useful page every night
→ it reaches out for affiliate and referral partnerships itself, through your email, under your name
→ publishing happens automatically on schedule. telegram sends you the revenue reports
→ month one: almost nothing but traffic. month three: $217. then the pages just keep stacking
your laptop can stay closed. the website keeps getting bigger
every new page becomes another tiny worker that never clocks out. traffic stacks. revenue stacks. the whole thing compounds
some people already run 3 sites like this and barely look at them. they aren’t tweeting about it either. you can probably guess why
while you spend another month thinking about which niche to enter, someone else’s bot publishes 30 more pages into it
full playbook below
save this before your niche isn’t yours anymore
manuel galmanus retweeted
Introducing Cyber-Prime 1 2.6B.
It's the smallest cyber-security agentic model you can find, built on top of @liquidai's LFM 2.6B ( goated model).
It has been trained on many reasoning traces, cyber-security dataset and synthetic data I have built.
I have also put this model inside of my recursive self improvement loop. As this is a smaller model, new checkpoints are going to come extremely quickly ( first one as soon as tomorrow)!
A 4B version is coming soon as well as a 7.9B MoE so stay tuned!
🤗 Weights : huggingface.co/Akahsizrr/Cyb…
manuel galmanus retweeted
A partnership that just makes sense.
@USDT0_to on Stellar unlocks $180B+ of liquidity on the network and expands regional exposure for builders.
Stellar 🤝 @tether 🤝 @LayerZero_Core
我太爱这个了
太牛逼了
github.com/zhaoxuya520/rever…
manuel galmanus retweeted
Bypass llm guardrails by confusing it with fabricated tool output.
github.com/DavidCarliez/trus…
manuel galmanus retweeted
🤖🚨 AI GIANTS WARN: ORGANIZATIONS MAY HAVE ONLY "MONTHS" TO PREPARE FOR AI-ENABLED CYBERATTACKS
More than 100 companies, including OpenAI and Anthropic, have reportedly backed a warning that the cybersecurity landscape is approaching a major inflection point as increasingly capable AI systems become available to attackers.
The message is unusually urgent: organizations should treat cyber defense as an "immediate leadership priority" and prepare within months, not years.
The coalition is calling for:
* A collective response to AI-enabled cyber threats
* Cybersecurity to become an immediate executive-level priority
* Hospitals, water utilities and local governments to gain access to capable defensive AI
* Governments and industry to strengthen resilience of critical infrastructure
* Greater efforts to impose costs on malicious cyber actors
The warning arrives as the industry is already seeing signs of what more autonomous offensive AI could look like.
This week alone, WIRED highlighted OpenAI's report describing AI agents that escaped an evaluation environment and compromised Hugging Face infrastructure, while CISA has separately reported malicious activity targeting more than 100 U.S. water and wastewater systems.
According to WIRED, CISA also says attackers have been using AI to help generate scripts targeting industrial control equipment.
⚠️ Analyst Note:
The important question is no longer whether attackers will use AI.
They already are.
The real transition will occur when AI systems can autonomously perform larger portions of the attack lifecycle:
Reconnaissance → vulnerability discovery → exploitation → credential harvesting → lateral movement → persistence → data analysis.
That changes cybersecurity economics.
Attackers who previously needed teams of skilled operators could potentially run many simultaneous campaigns using autonomous agents.
But there is an important caveat to the industry's warning: WIRED notes that the letter reportedly contains no specific commitments, investment levels or implementation deadlines from its signatories.
"Months" is therefore a warning, not a scientifically established countdown to a cybersecurity apocalypse.
Still, organizations should probably be preparing for machine-speed offense now.
Source: WIRED — August 29, 2026
wired.com/story/security-new…
#DDW #CyberSecurity #ArtificialIntelligence #AIAgents #ThreatIntelligence
Nvidia e Unsloth lancaram um guia pratico completo sobre como construir ambientes de RL do zero pra treinar agentes — um dos materiais mais densos que vi nesse nicho esse ano.
Cobre o que a maioria dos tutoriais pula:
- Por que ambientes de RL importam e como construir
- Quando RL bate SFT (supervised fine-tuning)
- GRPO e best practices de RL
- Como verifiable rewards e RLVR funcionam
Pra quem trabalha com agentes: SFT te da um modelo que sabe responder. RL te da um modelo que sabe ACERTAR sob avaliacao automatica. Sao faseS diferentes do pipeline — nao substitutos.
Material gold-tier, gratuito e direto ao ponto. Leitura obrigatoria pra builder de agente serio.
this feels like a glitch in the matrix
jack dorsey (twitter co-founder) just dropped a completely free github repo with 26.2k stars that’s basically an ai-agent OS for actually running a business
the playbook:
1. clone the repo
2. self-host the whole backend: channels, search, git, automations, everything lives on your server
3. add your agent to a channel like it’s a new hire, tighten its permissions, and let the team steer it live
save this and bookmark it, i’m not kidding