Joined November 2009
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Miliband asked "how much will earth’s temperature reduce if UK became Net Zero tomorrow?" Good question by @LeeAndersonMP_ Complete nonsense in response from @Ed_Miliband #NoToNetZero
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dba.monster retweeted
You can no longer create an account here with VPS or Tor. Which guarantees that no genuine whistleblower is going to be here. Only distractions and propaganda.
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Replying to @JusticeRage
Play Integrity API is clearly anti-competitive, anti-security and blatantly illegal. It isn't dangerously close to those but rather way over the line. App developers being able to directly use key attestation and explicitly allow specific non-Google software doesn't make it okay.
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dba.monster retweeted
May 5
“Non-technical teams are now shipping production code” Yeah, I’m closing my account today
This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15 direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian
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Always.
Stronger the leader, more is the blackmail material see eye aye has on them 😂
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dba.monster retweeted
Apr 12
Replying to @AmmousMD
The key to health is ignoring your own eyes in favor of pharma funded studies. You just can't trust reality without a peer-reviewed permission slip.
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dba.monster retweeted
A mistake people make when looking at AI is one they make when looking at BTC, they'll think the AI is labor and labor = value. But labor != value. More output from AI is not more value. BTC is not valuable because labor went into it. Value is scarcity meeting demand, not labor.
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I hope this is not real but Poe's law.
🔴 FED CHAIR POWELL: ADJUSTED FOR INFLATION, THE CPI HAS BEEN REMARKABLY STABLE.
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dba.monster retweeted
Yet to find a single Bitcoiner who has not noticed this same effect. One of the biggest environmental benefits of Bitcoin is how it reduces overconsumption.
Since I started buying bitcoin I have stopped buying more than 97% of the crap I used to tell myself I needed.
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Also important to understand that using 'quantum' as a prefix does not make things more 'physics'.
The problem they have with Bitcoin is that they cannot control it when still many millions of BTC are still in the wild in private custody, away from the control of the financial system. They want to KYC every satoshi and keep a majority of them in wallets if financial institutions. This explains the quantum computing non-sense FUD. Quatum computers don't exist and will never exist. End of story.
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dba.monster retweeted
X is like a crazy multiplayer video game where the rules change every other day. For example, today it’s Become Friends with Japan: The Game. No one knew they were going to be playing this game, but tens of thousands ended up doing so. Interesting.
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India ran the most important cardiovascular study of the 20th century by accident, and then immediately forgot about it. In 1967, Dr. S.L. Malhotra published a study in the British Heart Journal examining heart disease rates among 1.5 million Indian railway employees. The population was extraordinarily useful for research purposes: same employer, same healthcare access, comparable income and working conditions, spread across the entire country. The only meaningful variable was geography. Which meant diet. North Indian railway workers: Punjab, Rajasthan, UP, ate a diet built around ghee and dairy fat. They consumed up to 19 times more fat than their southern counterparts. The fat was primarily saturated: clarified butter, milk fat, the short-chain saturated fatty acids that Ancel Keys had recently been telling the Western world were arterial death. South Indian railway workers ate a diet based on rice, sambar, and seed oils: groundnut oil and sesame oil, primarily. They ate considerably less fat overall. By the standards of dietary advice being formulated in the 1960s, they should have been the healthy ones. Heart disease mortality in South India: 135 per 100,000. Heart disease mortality in North India: 20 per 100,000. Seven times higher in the population eating seed oils. Among railway sweepers specifically, the lowest-paid, most physically active workers, the gap was even wider. Heart disease was fifteen times more common in the South Indian sweeper population than in the North Indian sweeper population. Malhotra controlled for everything he could reach: smoking, where Northerners actually smoked more. Activity levels, where the relationship was inconsistent. Socioeconomic status, where executives died more often than sweepers regardless of region. He found no variable that explained the gap except the type of fat in the diet. He published the data. In a peer-reviewed journal. In 1967. The study was cited periodically, acknowledged as methodologically interesting, and then set aside. The decade in which Malhotra published was the decade in which Ancel Keys's fat hypothesis was being converted into policy. The American Heart Association was issuing guidance recommending polyunsaturated vegetable oils as replacements for saturated animal fats. The food industry was producing seed oils at industrial scale. The infrastructure of seed oil promotion was being built, expensively and with great institutional momentum. A study showing that populations eating animal fat had a fraction of the heart disease of populations eating seed oils was not, in that context, a study that anyone particularly wanted to follow up. Nobody followed up. Almost sixty years later, the finding stands unrefuted in the literature. It is not in the dietary guidelines.
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Huge if true.
🔥 Next week, 4 MILLION shops, restaurants and small businesses in the U.S. will accept bitcoin by default 🤯
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At least now you known that climate change was simply a cover for global oil rationing. And battery and EV push is simply attempt to monopolize rare earth supple chain for military industrial complex. Until we meet again.
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dba.monster retweeted
Replying to @dbamonster
The MSM had totally discredited themselves pushing unnecessary, costly wars. So everyone switched to alternative media to get their news. Which is why rocket boy took over a large chunk of social media to guarantee that we still get plenty of pro-war, neocon propaganda.
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dba.monster retweeted
Replying to @RohitMishra2024
They control the narrative. So it's not by chance the Epstein files are made public now. Edit: Slow and structured release of the files.
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dba.monster retweeted
AGI is not coming. We are nowhere near AGI. What we have today is inference, not learning. Models get trained once on huge fixed datasets, then frozen. You ask questions, they remix patterns they already saw. Nothing updates. Nothing sticks. Talking to the model does not make it smarter. It does not learn from you. Ever. Learning is still slow, expensive - and offline. Look at self driving. You drive around a pothole, make a U turn, and come back. The car’s AI does not learn that you just solved that exact problem. It reacts the same way every time using sensors and rules. Do this 20 times a day and it still has zero memory that the pothole exists. It just re sees it. That is why edge cases never die. There is no local learning. No accumulation. No 'oh yeah, I’ve seen this before' LLMs work the same way. Tell it your name and it does not remember. The only reason it looks like memory is because scaffolding keeps shoving your name back into the prompt every time and sanitizing the output. The model itself has no idea who you are and cannot learn from interaction. It is structurally incapable. And the scaffolding is the worst part. It is pure duct tape. Just prompts on prompts on prompts around a frozen model. When something breaks, nobody fixes learning. They add another layer. Another rule. Another retry. Another evaluator model judging the first model. So you end up with systems that are insanely complex but mentally shallow. Debugging is hell because behavior comes from hack interactions, not a learnable core. Tiny prompt tweaks cause wild behavior shifts. Latency goes up. Costs go up. Reliability goes down. None of this compounds into intelligence. It just hides the cracks. Until we have real persistent learning and real memory inside the system, there is no AGI. LLMs are not built for this. You cannot prompt your way out of it. You need a totally different architecture. Yann LeCun is right. And even then, what architecture can actually learn online, store memory, and stay stable on today’s hardware? Best case, maybe 5-10 yrs. Right now it is all inference. It looks magical, but the emperor has no clothes. A lot of people see it. Almost nobody says it out loud.
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dba.monster retweeted
BREAKING: Bill Gates says we must reduce the population of Russian prostitutes by 10 to 15 percent to slow down the spread of STDs
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dba.monster retweeted
Peter Schiff opening X app this week

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