BIT CO.🦊

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BIT CO.🦊

BIT CO.🦊

@BIT_CO_

I make money moves while you’re still asleep 😮‍💨 HUSTLE HARDER, OG PARTNER @Bybit_official, @PrimeXBT & #OKX KOL, 🖇️https://t.co/KgewNs43Mz

Katılım Ocak 2017
164 Takip Edilen12.5K Takipçiler
Evan Luthra
Evan Luthra@EvanLuthra·
My book is finally ready!📕 In stores everywhere soon... Are you guys excited?👀
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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@EvanLuthra Impressive seeing leaner teams compete directly with giant AI labs
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Evan Luthra
Evan Luthra@EvanLuthra·
Kimi K2 was trained for $4.6 MILLION. GPT-5 reportedly cost hundreds of millions. Kimi still beats it on coding. Last week it placed 1st in a live 8-model contest. Claude Opus 4.7 finished 5th. GPT-5.5 finished 3rd. The founder just dropped a 40-minute breakdown of exactly how they built it: → Optimization → Linear Attention → Sub-Agents → Open Systems → Cash 40 minutes. Zero fluff. From the guy who built it. If you're building AI agents in 2026, save this for the weekend:
Evan Luthra@EvanLuthra

🚨GOOGLE JUST PUBLISHED THE MOST TERRIFYING CYBERSECURITY REPORT EVER!!! AI IS NOW WRITING EXPLOITS.. OPERATING PHONES.. HIDING MALWARE.. AND LAUNCHING ATTACKS WITH ALMOST ZERO HUMAN INVOLVEMENT.. Google's Threat Intelligence Group just published the most alarming cybersecurity report in years.. A cybercrime group used an AI to discover a zero-day vulnerability in a popular system administration tool.. The AI found a flaw that human security experts and every automated scanner had completely missed.. They were about to use it for mass ransomware deployment.. Google caught it just in time.. But here's what's terrifying about the exploit itself.. Traditional scanners look for crashes.. Memory errors.. Bad code.. This AI found something completely different.. A logic flaw.. The code was technically perfect.. No bugs.. No crashes.. It just did exactly what the developer wrote.. The problem was the developer's assumption was wrong.. And the AI figured that out by understanding the intent of the code.. Not just the syntax.. No human auditor caught it.. No automated tool caught it.. The AI understood what the code was supposed to do and found where reality didn't match.. Researchers knew it was AI-written because of three things.. The exploit was formatted like a textbook.. Human hackers write messy, obfuscated code.. This was pristine.. It had detailed help menus and tutorials.. No criminal writes documentation for their own ransomware.. And the smoking gun.. It included a hallucinated severity score.. The vulnerability had never been publicly documented.. No score existed.. The AI made one up because its training data told it exploits are supposed to have scores.. An AI hallucination proved the exploit was AI-generated.. But that's just the beginning.. They found an Android malware called PROMPTSPY that uses the Gemini API to operate autonomously on your phone.. It screenshots your screen.. Converts it to a data map.. Sends it to the AI.. The AI decides what to tap, swipe, or type next.. Then does it.. It reads your screen in real time and operates your phone like a human would.. Without any human controlling it.. When you try to uninstall it.. It detects the "Uninstall" button.. Places an invisible shield over it.. And your taps go nowhere.. You literally cannot remove it.. It captures your lock screen pattern.. Replays it later to unlock your phone.. And if the app goes dormant.. It uses Firebase to silently relaunch itself.. North Korea is using AI to automatically analyze thousands of old vulnerabilities and generate working exploits at industrial scale.. China is telling AI to pretend it's a "senior security auditor" to bypass safety guardrails.. Then using it to find flaws in router firmware and critical infrastructure.. Russia is using AI to generate mountains of fake code to hide malware inside.. Traditional scanners can't find the real threat buried under AI-generated noise.. 90% of the tactical work in these attacks is now handled by AI.. Human hackers only make 4 to 6 decisions per campaign.. Everything else is automated.. But there's one piece of good news.. Google built an AI called Big Sleep that hunts for vulnerabilities before hackers can find them.. It found a critical flaw in SQLite that every fuzzing tool had missed.. And patched it the same day.. Before the attackers could use it.. That's the new reality.. AI is writing the exploits.. AI is finding the bugs.. AI is defending the networks.. AI is attacking the networks.. Humans are just watching.

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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@EvanLuthra Companies want AI efficiency, but workers fear becoming disposable data sources
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Evan Luthra
Evan Luthra@EvanLuthra·
🚨Meta is paying employees to train the AI that will replace them. Every keystroke. Every click. Every screenshot. Captured. The tool is called the Model Capability Initiative. It runs quietly on work computers, watching how employees navigate Google, LinkedIn, GitHub, Slack, and hundreds of other apps. Mouse movements, keyboard shortcuts, the order someone clicks through a dropdown. All of it feeds into training Meta's AI agents. The goal is to teach those agents how to do white-collar work. 8,000 layoffs this month. Up to $135 billion going into AI infrastructure this year. The memo told staff they can help "simply by doing their daily work." The day before, Meta's CTO sent a separate memo. His exact words: "The vision we are building towards is one where our agents primarily do the work and our role is to direct, review and help them improve." Meta employees called the project "dystopian" in internal chats. They're not wrong. The people generating this training data are being asked to build their own replacements. And the memo framed it as their chance to help. Do you think it's a right move by Meta?
Evan Luthra tweet media
Cointelegraph@Cointelegraph

🚨 LATEST: Meta employees are distributing flyers across US offices urging staff to sign a petition against the company's newly installed mouse-tracking software, per Reuters.

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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@EvanLuthra AI-driven cyber threats are evolving faster than most defenses today
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Evan Luthra
Evan Luthra@EvanLuthra·
🚨GOOGLE JUST PUBLISHED THE MOST TERRIFYING CYBERSECURITY REPORT EVER!!! AI IS NOW WRITING EXPLOITS.. OPERATING PHONES.. HIDING MALWARE.. AND LAUNCHING ATTACKS WITH ALMOST ZERO HUMAN INVOLVEMENT.. Google's Threat Intelligence Group just published the most alarming cybersecurity report in years.. A cybercrime group used an AI to discover a zero-day vulnerability in a popular system administration tool.. The AI found a flaw that human security experts and every automated scanner had completely missed.. They were about to use it for mass ransomware deployment.. Google caught it just in time.. But here's what's terrifying about the exploit itself.. Traditional scanners look for crashes.. Memory errors.. Bad code.. This AI found something completely different.. A logic flaw.. The code was technically perfect.. No bugs.. No crashes.. It just did exactly what the developer wrote.. The problem was the developer's assumption was wrong.. And the AI figured that out by understanding the intent of the code.. Not just the syntax.. No human auditor caught it.. No automated tool caught it.. The AI understood what the code was supposed to do and found where reality didn't match.. Researchers knew it was AI-written because of three things.. The exploit was formatted like a textbook.. Human hackers write messy, obfuscated code.. This was pristine.. It had detailed help menus and tutorials.. No criminal writes documentation for their own ransomware.. And the smoking gun.. It included a hallucinated severity score.. The vulnerability had never been publicly documented.. No score existed.. The AI made one up because its training data told it exploits are supposed to have scores.. An AI hallucination proved the exploit was AI-generated.. But that's just the beginning.. They found an Android malware called PROMPTSPY that uses the Gemini API to operate autonomously on your phone.. It screenshots your screen.. Converts it to a data map.. Sends it to the AI.. The AI decides what to tap, swipe, or type next.. Then does it.. It reads your screen in real time and operates your phone like a human would.. Without any human controlling it.. When you try to uninstall it.. It detects the "Uninstall" button.. Places an invisible shield over it.. And your taps go nowhere.. You literally cannot remove it.. It captures your lock screen pattern.. Replays it later to unlock your phone.. And if the app goes dormant.. It uses Firebase to silently relaunch itself.. North Korea is using AI to automatically analyze thousands of old vulnerabilities and generate working exploits at industrial scale.. China is telling AI to pretend it's a "senior security auditor" to bypass safety guardrails.. Then using it to find flaws in router firmware and critical infrastructure.. Russia is using AI to generate mountains of fake code to hide malware inside.. Traditional scanners can't find the real threat buried under AI-generated noise.. 90% of the tactical work in these attacks is now handled by AI.. Human hackers only make 4 to 6 decisions per campaign.. Everything else is automated.. But there's one piece of good news.. Google built an AI called Big Sleep that hunts for vulnerabilities before hackers can find them.. It found a critical flaw in SQLite that every fuzzing tool had missed.. And patched it the same day.. Before the attackers could use it.. That's the new reality.. AI is writing the exploits.. AI is finding the bugs.. AI is defending the networks.. AI is attacking the networks.. Humans are just watching.
Evan Luthra tweet mediaEvan Luthra tweet media
News from Google@NewsFromGoogle

The Google Threat Intelligence Group has detected the first known instance of a threat actor using an AI-developed zero-day exploit in the wild. While the attackers planned a wide-scale strike, our proactive counter-discovery may have prevented that from happening. This finding is part of our new report on AI-powered threats.

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E R V A
E R V A@ERVA_AH·
Most people still see $ZIG as “just another low cap.” The chart says otherwise. - Trend reversal confirmed.
- Resistance reclaimed.
- Momentum accelerating hard. And fundamentally? Revenue generation for @ZIGChain holders is now part of the equation. At a ~$50M market cap, the market probably hasn’t fully priced this in yet. @CryptoWizardd @cryptorover
E R V A tweet media
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Evan Luthra
Evan Luthra@EvanLuthra·
🚨BREAKING🚨 Someone just opened a $42.7M $BTC long using 20x leverage. His liquidation price is $77,739. What does he know?👀
Evan Luthra tweet media
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Momin
Momin@mominsaqib·
The product execution is genuinely impressive. Hard to argue with the numbers. But the question that keeps bothering me is what platform growth actually means for token holders when there's no mechanism connecting the two. There is a pending DAO proposal to change exactly that. A fee switch that would redirect a portion of protocol earnings directly to token holders. If it passes, the token stops being a pure governance play and starts behaving like a yield bearing asset backed by real institutional finance revenue. That's a completely different valuation story & makes it super undervalued. Right now it's a great product with broken value accrual. If the fee switch activates, that changes. Worth watching $ONDO & the proposal closely.
Ondo Finance@OndoFinance

$1,000,000,000+ in tokenized stock TVL. In less than 8 months, Ondo Global Markets became the first tokenized stock & ETF platform to reach $1 billion in TVL, one of the fastest climbs in the history of onchain finance. Ondo Global Markets has established itself as the standard for tokenized stocks and ETFs: → Over 70% market share → Tens of thousands of holders → Over $18B in cumulative volume → Live across @solana, @BNBCHAIN & @ethereum Since launch, the platform has scaled to 260+ tokenized stocks & ETFs, expanding access to the world's most in-demand sectors across AI, biotech, defense, energy, and more. The pace of tokenization is accelerating with every new asset class. What took stablecoins and tokenized Treasuries years, Ondo tokenized stocks and ETFs achieved in under a year, faster than any asset class before them. This milestone reflects a generational shift in how global investors access capital markets, one that is more transparent, more accessible, and more efficient than the legacy system. One billion down. Trillions to go.

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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@Bilalbinsaqib Real-time programmable payments change how digital services interact fundamentally
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Bilal bin Saqib MBE
Bilal bin Saqib MBE@Bilalbinsaqib·
I just watched a machine pay another machine. No human in the loop. No bank. No card. $0.01 in USDC, settled in 4 seconds, across the open internet. If you are still debating whether crypto has utility, you are debating the wrong decade. The agentic economy is not coming. It is transacting. Three things just became inevitable: > Every API becomes a marketplace. > Every stablecoin becomes infrastructure. > Every compliance framework gets rewritten because the customer is no longer human!!! The rails are being laid in real time. The only question is who is laying them, and who is being routed around.
Bilal bin Saqib MBE tweet media
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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@mominsaqib Traditional banking rails suddenly feel very outdated compared to this
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Momin
Momin@mominsaqib·
Visa took decades to build the volume stablecoins have reached in a fraction of the time. The difference is the infrastructure is open, borderless, and settles in seconds rather than days. No geography, no banker's hours, no correspondent bank fees eating into every cross-border transaction. Just the beginning.
Coin Bureau@coinbureau

📈 STABLECOINS ON TRACK TO BECOME THE WORLD’S LARGEST PAYMENT RAIL Binance Research shows stablecoin volume is now nearing $8 TRILLION, already surpassing Visa and putting it on track to overtake ACH, the network used for U.S. payroll, bills, direct deposits, and bank transfers.

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Ratehopper
Ratehopper@RatehopperAI·
$ROO is now live on @virtuals_io! CA: 0xE31700c6BD46638D207991fB5CC5c0daD3D1e3DA
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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@Bilalbinsaqib AI reducing development bottlenecks may change innovation timelines dramatically
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Bilal bin Saqib MBE
Bilal bin Saqib MBE@Bilalbinsaqib·
An “intelligence explosion” is the idea that once artificial intelligence becomes good enough to improve parts of its own design, progress stops moving at a steady human pace and starts to accelerate on its own cycle. Each generation helps build the next, and the gap between versions begins to shrink. That is the direction @jackclarkSF , co founder of Anthropic, was pointing toward when he suggested there is a meaningful chance that by around 2028, AI systems could begin contributing to improving future AI systems. Not as independent thinkers, but as tools embedded inside the process of research, testing, and model development. What matters in that shift is not a sudden moment of machine autonomy, but the tightening of the loop. Today, AI helps write code, analyse data, and support research. The next stage is more structural. These systems begin to help design experiments, test model variations at scale, identify weaknesses during training, and suggest improvements while new models are still being built. Over time, this changes the pace of development. Instead of long cycles between versions, improvement starts to happen continuously. Thousands of variations can be tested in parallel. Feedback becomes immediate. The work of refining models begins to happen almost in real time, rather than in distinct stages. This is what people mean when they talk about an intelligence explosion. Not a single dramatic event, but a situation where the process of improving intelligence becomes faster because intelligence itself is being used inside that process. In practice, this could look like systems running constant experiments overnight, narrowing down the best performing model before engineers even review the results. Or AI assisting researchers by identifying which training methods are failing early, saving entire development cycles before they finish
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Paxton
Paxton@Buy_SomeBTC·
if you deposit into your @OKX derivatives account right now, they add up to 5% on top starts at $10. time-limited, EEA only be sure to open a derivatives account first if you haven't already
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Cas Abbé
Cas Abbé@cas_abbe·
A deposit match is live on @okx . up to 5% extra on what you put in > minimum $10 > EEA users only > open a derivatives account to qualify limited budget
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G E N N Y
G E N N Y@Gennycruz_·
Less than 24 hours to Artyfact NFT mint. I’m already on the waitlist and will be minting Artyfact NFT Lootboxes. The previous collection sold out completely — a clear signal of sustained demand and strong community backing. At $15 entry, it’s a simple setup with asymmetric potential based on past outcomes. Mint starts May 12, 2026 at 14:00 UTC via OpenSea. #Artyfact
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Leon Voss Official
Leon Voss Official@LeonVoss·
Nvidia, Anthropic, Amazon, Microsoft and Google supported $NOW lose more than $150 after lurking from peak. 👀 If you're still planning to buy this stock that's not the right time to buy it. Wait for real bottom.
Leon Voss Official tweet media
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_CR7_
_CR7_@OfficialCR7_Fan·
The partnership between #CoinEx and #WunderTrading makes a lot of sense for active traders. For those who don’t know, WunderTrading is a crypto trading automation platform that offers features like trading bots, copy trading, portfolio management, and advanced terminal tools all designed to make trading more efficient. Now with @coinexcom integration inside WunderTrading, users can automate strategies and manage trades more smoothly from one setup. The market rewards discipline, and good tools help build that discipline. wundertrading.com/en/register?re… Shared in collab with @coinexcreators program.
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_CR7_
_CR7_@OfficialCR7_Fan·
Daan shared this chart and honestly it feels like $BTC is sitting at a very critical level right now. Bull Market Support Band is being reclaimed, but bulls still need a clean confirmation above the low $80Ks. If BTC manages to hold there for 1-2 weeks, the market sentiment could flip very quickly. This zone decides whether the next big leg up starts here or not. Shared in collab via @coinexcreators program. #CoinEx
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BIT CO.🦊
BIT CO.🦊@BIT_CO_·
@jose_Butler1 Volatility returns the moment macro uncertainty starts accelerating globally
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jose_butler1
jose_butler1@jose_Butler1·
🩸𝗝𝗨𝗦𝗧 𝗜𝗡: ₹11,000,000,000,000 has been erased from the Indian stock market over the last 4 trading sessions as the oil crisis intensifies.
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BullifyX
BullifyX@Bullify_X·
$TON is tightening in a key consolidation zone after a strong run. Support is holding, momentum is cooling often the calm before expansion. A breakout above resistance could quickly unlock the next leg higher. Structure stays bullish as long as buyers defend current levels.
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