ꓘris | ⏳🇲🇹🇮🇹🇨🇭

1.4K posts

ꓘris | ⏳🇲🇹🇮🇹🇨🇭 banner
ꓘris | ⏳🇲🇹🇮🇹🇨🇭

ꓘris | ⏳🇲🇹🇮🇹🇨🇭

@m4dbi7

0ld Skoolz, Digital nomad and Father | IT & Compliance | Blockchain Infra Veteran | My tweets are my own. Doers at @luganodes , passed by Cardano & Stakefish

127.0.0.1 Katılım Temmuz 2011
704 Takip Edilen149 Takipçiler
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Het Mehta
Het Mehta@hetmehtaa·
Just finished a red team for a fintech that burned millions on Falcon + SentinelOne AI stacks. Got domain admin in under 15 mins from the guest WiFi. Walked into the kitchen, saw the shiny Samsung “enterprise” smart fridge on the same VLAN as everything important. Still on old firmware. Default creds on the admin panel. Classic unauth RCE in the diagnostics endpoint. Shell within minutes. From there it had cached corp creds for SAP sync and outbound allowed. Their EDR had the fridge IP whitelisted as “normal IoT behavior” because of the MQTT pings. Dropped a Reynolds-style BYOVD (that NSecKrnl one everyone’s using now), killed the hooks on a DC, and exfil’d test data back out the fridge’s own channel. SOC barely blinked. CISO’s reaction when I showed him live: “It’s just a fridge though…” Man, 2026 and we’re still getting wrecked by IoT crap facilities bought on Amazon. Same story as the 2014 Proofpoint fridge botnet or Target’s HVAC. Nothing changes.
English
47
123
1.1K
63.9K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Cyber Security News
Cyber Security News@The_Cyber_News·
🚨 New Chrome Zero-Day Vulnerability Actively Exploited in Attacks — Patch Now Source: cybersecuritynews.com/chrome-zero-da… Google has released an emergency security update for its Chrome browser, patching a zero-day vulnerability that is already being actively exploited in the wild. The actively exploited vulnerability, tracked as CVE-2026-5281, is a use-after-free vulnerability in Dawn Chrome’s cross-platform GPU abstraction layer used to implement WebGPU. Google has officially confirmed active exploitation, stating it “is aware that an exploit for CVE-2026-5281 exists in the wild.” The flaw was discovered and reported by an anonymous researcher on March 10, 2026. #cybersecuritynews #Googlechrome
Cyber Security News tweet media
English
5
58
175
13.6K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
riccardo cucchi
riccardo cucchi@CucchiRiccardo·
Approvata dalla Knesset la pena di morte. Solo per i palestinesi. Ben Gvir brinda: "presto li conteremo uno per uno". Questa è la democrazia di #Israele.
The Cradle@TheCradleMedia

VIDEO | Israeli National Security Minister Ben Gvir, outside the Knesset chamber, celebrates the passing of the death penalty law for Palestinian detainees, describing it as historic and saying, “Soon we will count them one by one.”

Italiano
117
299
1.2K
20.7K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Angel Van Lang (divergent)✊🇵🇸🇨🇺NATexit noWAR
Questa foto dovrebbe essere sulla prima pagina di ogni giornale del mondo. Se questa donna fosse occidentale, ci sarebbe indignazione in tutto il mondo. Questi terroristi sionisti sono le persone più spregevoli del mondo.
Italiano
8
109
200
2.1K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭
@montemagno Mi accollo, attualmente sto testando claude per un progetto complesso di engineering ed effettivamente è come lavorare con il mio team di ragazzi. Ricontrollo tutto, mi accorgo di scelte non ottimali, errori di utilizzo di documentazione, sorgenti di informazioni spesso outdated.
Italiano
0
0
0
281
Marco Monty Montemagno
Marco Monty Montemagno@montemagno·
“L’AI fa tutto da sola.” Sì, certo. E io sono in vacanza. La verità è molto meno accattivante. In questo momento lavorare con l’AI nella startup che ho creato è babysitting continuo. A volte ti sorprende: gli dai un task → lo fa perfetto al primo colpo. E lì pensi: “Ok, ci siamo.” Poi al task dopo… rompe tutto. E riparti: – “Non funziona” – “Controlla questo pezzo” – “Hai dimenticato questo passaggio” E lei: analizza, corregge, riprova. È un dialogo continuo. E sì, a tratti è una bella rottura. Se dovessi dirti com’è oggi: – 60–70% umano (ragionamento, direzione, decisioni) – 30–40% macchina (esecuzione) Perché? Perché l’AI esegue. Ma non sa ancora cosa è davvero “giusto” nel tuo contesto. E quindi tu sei sempre lì: – controlli il deploy – verifichi la staging – guardi se il backup esiste davvero (e non solo “sì sì c’è”) – controlli Git, integrazioni, flussi Non stai lavorando meno. Stai lavorando diverso. La parte interessante però è un’altra. Questa fase è temporanea. È la stessa identica logica di quando costruisci un team: all’inizio segui tutto formi correggi ripeti Poi, lentamente, inizi a mollare. E se hai fatto bene il lavoro: il sistema diventa autonomo. Con l’AI siamo esattamente lì. Non è automazione. È formazione. Stai addestrando un sistema a lavorare per te. E chi capisce questa differenza oggi è quello che tra 12–24 mesi non farà più babysitting… ma avrà una macchina che gira da sola. (Questo post è stato scritto dall'AI partendo da un video di Monty)
Italiano
5
0
21
5.5K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Simone Margaritelli
Simone Margaritelli@evilsocket·
Just managed to run distributed inference clustering an NVIDIA gpu, a MacBook Pro and and iPhone 16 🔥 metal acceleration on the mobile node working like a charm. Cake (in rust) is now the only project that allows you to distribute your local inference on mobile, Mac and Linux.
Simone Margaritelli tweet media
English
14
23
190
14.9K
Paolo Ardoino 🤖
Paolo Ardoino 🤖@paoloardoino·
Met with Tether expansion team. Dominance data on real world use of USDT vs other stables is just insane. XAUT growing rapidly too. USAT launching soon. WDK based wallets interest very positive. Thanks everyone ❤️
English
64
49
600
60.5K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Dark Web Informer
Dark Web Informer@DarkWebInformer·
Shannon: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark. GitHub: github.com/KeygraphHQ/sha… Features: ▪️Fully Autonomous Operation ▪️Pentester-Grade Reports with Reproducible Exploits ▪️Critical OWASP Vulnerability Coverage ▪️Code-Aware Dynamic Testing ▪️Powered by Integrated Security Tools ▪️Parallel Processing for Faster Results
Dark Web Informer tweet media
English
9
130
662
48.6K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
sysxplore
sysxplore@sysxplore·
sysxplore tweet media
ZXX
76
622
4.3K
133.9K
Malware Unicorn
Malware Unicorn@malwareunicorn·
My kid has taken over my Spotify wrapped. Kpop demon hunters non-stop at my house.
Malware Unicorn tweet media
English
5
2
28
5.8K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Paolo Ardoino 🤖
Paolo Ardoino 🤖@paoloardoino·
Tether just open-sourced its edge-first generalized LLM inference and LoRA fine-tuning framework for heterogeneous GPUs. AI ubiquity era is beginning.
QVAC@qvac

EDGE/ON-DEVICE AI INFERENCE AND FINE-TUNING IS HERE. Tether Data just released QVAC Fabric LLM, and it creates a new foundation for how AI is built and deployed. It is the world's first Edge-First Inference Runtime & Fine-Tuning Framework. Here’s the simple breakdown:👇 The Old Way: To run AI models (Inference), you needed the cloud and pay a subscription. To evolve and customize AI (Fine-Tuning), you needed expensive clusters. • It was centralized. • It was reserved to the elite. • Your data had to leave your device. The QVAC Fabric Way: We built a unified, cross-platform system to EXECUTE (INFERENCE) and PERSONALIZE (FINE-TUNE) models on the hardware you already own. • Laptops (Windows, Mac, Linux)? Yes. • Consumer GPUs? Yes. • iOS & ANDROID SMARTPHONES? YES. How we did it (The Geeky Part): We extended the llama.cpp engine to add more function instrumentation, generalized support for new models and introducing state-of-the-art, highly extensible LoRA fine-tuning capabilities. We made it cross-platform and vendor-agnostic. It’s highly efficient, meaning it doesn't need a nuclear reactor to run—just your device battery. Why is this a big deal? For Developers: You don’t need a massive budget or a cloud provider to build custom AI anymore. You can build, test, and fine-tune models like Llama 3 or Gemma 3 directly on your MacBook, Linux rig, Windows desktop or even your mobile device. It’s open-source and uses llama.cpp, so it’s super lightweight. For Regular People: Imagine an AI assistant that actually learns from you—your notes, your style, your preferences—but none of that data ever leaves your phone. It lives locally but can scale infinitely. It learns locally. It can work offline. It’s truly your AI, not a corporate rental. The only solution that can truly serve anyone, including the billions of people that can’t afford big-tech expensive subscriptions. The TL;DR: We moved the entire AI lifecycle—execution and evolution—from the cloud to people’s devices. No vendor lock-in. No spying. Just pure, ubiquitous intelligence. Open Source.Multi-platform binaries. Ready today. QVAC - Your Device. Your AI 🔗 Read the QVAC Fabric-LLM Tech Overview & Get the Code: huggingface.co/blog/qvac/fabr… hashtag#QVAC hashtag#LocalAI hashtag#Llama

English
45
67
648
108.4K
Simone Margaritelli
Simone Margaritelli@evilsocket·
I am so looking forward to being able to settle in a house in the woods and forget computers ever existed
English
12
1
35
2.5K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
rootsecdev
rootsecdev@rootsecdev·
rootsecdev tweet media
ZXX
17
109
1K
41.2K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
JS0N Haddix
JS0N Haddix@Jhaddix·
With best in class system prompts and RAG we have released 10 cybersecurity based GPTs for the community! Our engineers use these bots all the time, enjoy! arcanum-sec.com/bots
JS0N Haddix tweet media
English
3
29
165
14.3K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Lisa Forte
Lisa Forte@LisaForteUK·
Happy Cyber Awareness Month for those who celebrate Not sure I want to be more aware of the problem we face rn 😂
GIF
English
12
9
75
3.1K
ꓘris | ⏳🇲🇹🇮🇹🇨🇭 retweetledi
Francesco Borrelli
Francesco Borrelli@NotizieFrance·
É giusto far vedere come hanno ridotto Gaza. Tutto distrutto. Un massacro.
Francesco Borrelli tweet media
Italiano
32
24
140
5.5K