father-abraham.eth @abebecker

What exactly does briefly mean..?

Polymarket @Polymarket

4 hours ago

JUST IN: 80-year-old woman with advanced Alzheimer’s reportedly briefly regained speech, bladder control, & memory after taking psilocybin mushrooms.

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Seriously. Siri is on par with clippy, but less lovable. Call it anti-Siri 👺and people will flock to it 😎

Jason Mikula @mikulaja

10 hours ago

Siri is such a joke. Apple really should rebrand it, if they ever launch a functional AI product.

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Finally, some competition for Amazon?

Gopuff @gopuff

2 days ago

Meet Go. Gopuff's AI shopping genius, co-developed with SpaceXAI. Just say what you need. It's already on its way.

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Parent in the age of AI? - must watch youtu.be/ivVPJhYM8Ng?si…

Finally had time to go down the Markov Chain rabbit hole - love this stuff! youtu.be/KZeIEiBrT_w?si…

Jensen: Asian parents' culture, toxic😟 I know they love me, I usually “alright, alright..." 黃仁勳今天說了內心話 一路過來真不容易 “亞洲父母有毒 總是會糾正你“ "我63歲了 他們依然覺得我不夠好“

Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. radar.cloudflare.com/traffic#bot-vs…

@unusual_whales @grok - what critical facts led to this decision, and what parts of the headline are designed to be emotionally charged

⚡️Trump is using Treasury and financial institutions to target illegal immigration, cartel finance, fraud, and access to the U.S. financial system. This is the domestic financial-border regime starting to appear. The physical border is only the visible layer. The deeper border is access to banking, payments, welfare flows, payroll, credit cards, remittances, debit cards, prepaid cards, and identity-linked financial rails. That is what this is really about. The administration is moving enforcement from geography into transaction permission. The question becomes less “who crossed the border?” and more “who is allowed to operate inside the financial system?” That is a much more powerful enforcement layer. A person can avoid a checkpoint. A person can move cities. A person can use sympathetic local systems. A person can live in a sanctuary jurisdiction. But modern life requires payments, bank access, cards, transfers, payroll, rent, app-based services, benefits, and digital identity. Once access to those rails becomes conditional on legal status, the border follows the person everywhere. That is the phase shift. The important phrase is “legal right to be here” tied to “access to financial systems.” That fuses immigration status with financial permission. That means KYC/AML, Treasury surveillance, bank compliance, welfare eligibility, tax records, state IDs, employer verification, and suspicious-activity frameworks all start converging into one enforcement machine. Banks will overcomply because banks always overcomply when Treasury risk appears. Compliance departments do not play heroic constitutional politics. They close accounts, restrict flows, demand documents, de-risk entire categories, and move liability off the balance sheet. That is how this scales. The state does not need to individually prosecute everyone. It can pressure institutions into filtering access. Once the banks, processors, card networks, fintechs, remittance providers, and benefits administrators understand the penalty risk, enforcement becomes distributed. This also reveals the next battlefield: blue-state identity systems. Driver’s licenses, local IDs, welfare access, school enrollment, municipal services, work authorization gray zones, payroll practices, remittance networks. The federal government is signaling that state-level access documents may no longer be enough to justify financial access. That sets up direct conflict between federal legality and state permission. The deeper political function is discipline. This is designed to make illegal presence harder to finance, harder to hide, harder to normalize, and harder to operationally sustain. The administration is treating the financial system as a sovereign perimeter. That is a very Trump-regime move: control the chokepoint, force institutions to carry the pressure, make the cost of noncompliance terrifying, then let private infrastructure execute state policy. The cartel/fraud language is the strongest legal wrapper. Human smuggling, drug trafficking, welfare fraud, stolen taxpayer funds, criminal facilitation. That frame gives Treasury a broader mandate and makes opposition harder because the policy can be sold as anti-criminal finance rather than immigration enforcement alone. But structurally, the net widens. This will not stay neatly confined to cartel accounts. Once banks have to determine whether accounts are enabling illegal immigration, the compliance surface expands fast. Landlords, employers, remittance senders, benefits recipients, prepaid-card users, shell accounts, family accounts, informal payroll, cash-heavy businesses, money-service businesses. Everything becomes suspicious if the identity layer is weak. That means fraud/identity infrastructure becomes even more important.

I love this idea - I wonder if it plays out as a vibrant market or just big players undercutting smaller players due to economy of scale..

The Grid @The_GridAI

a week ago

The Grid’s Beta is LIVE! We can get your AI API costs down by up to 80% by making suppliers compete for your requests. Your first 200M tokens are on us, start building → app.thegrid.ai/sign-up

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My experience with Windows over the many years I’ve been a dev has been terrible, excruciating even. I’d rather eat shards of broken glass than buy a Microsoft machine just on principle. I would love to see their quality improve.

Future Stacked @FutureStacked

3 days ago

🚨BREAKING: Microsoft just unveiled the Surface Laptop Ultra and it is the first Windows PC built to go directly at the MacBook Pro. This is not another Windows laptop. It runs an NVIDIA ARM chip with RTX Spark graphics and up to 128GB of unified memory. The same unified memory

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Wonder if I’d like this better than telegram remote coding..

AI inference is heating up again. Every major tech company is racing to control the layer where AI actually thinks, reasons, and acts. The future trillion-dollar battle isn't just about training models anymore — it's about who owns the inference layer. While Big Tech builds closed ecosystems designed to lock users into centralized AI services, @MorpheusAIs is quietly building something radically different: A sovereign AI infrastructure where users own the intelligence. In a world where personal AI agents may manage our finances, negotiate contracts, protect our data, and make decisions on our behalf, the most important question becomes: Who controls the inference? If inference is controlled by centralized corporations, they control access, censorship, pricing, and ultimately the behavior of your AI. Morpheus is building a decentralized inference marketplace that distributes AI compute across independent providers, creating an open network where users, developers, and compute providers participate directly instead of relying on a handful of AI giants. The goal isn't just cheaper AI. The goal is AI sovereignty: • Open access to intelligence • User-owned AI agents • Permissionless compute markets • Decentralized incentives through $MOR • A future where AI works for individuals, not corporations Bitcoin gave us sovereignty over money. Morpheus is working toward sovereignty over intelligence. The inference wars are just getting started. 👁️‍🗨️

Sounds like an opportunity for @origin_trail !

The Kobeissi Letter @KobeissiLetter

3 days ago

AI data privacy is the next hot topic. The global AI data privacy market is currently valued at $12.5 billion. By 2034, this market is expected to grow to $24.3 billion, exhibiting a CAGR of +7.9%. As enterprises seek to integrate AI, regulatory pressure and sizable privacy

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@MorpheusAIs Agree - and people employed at the DMV/similar still need a purpose after the current system is automated - it’s going to be really critical to find ways to keep people busy.. AI 2041 had some interesting insights.

卧槽！你随便扔一首 YouTube 歌，它就能直接拆成 6 条独立音轨——人声、鼓、贝斯、吉他、钢琴、其他……全给你扒出来！ 这工具叫 StemDeck，GitHub 开源项目，本地跑全程不上传、不注册、不花钱！它基于 Demucs 模型，拆完后给你一个接近 DAW 的界面： 静音、独奏、拉推子、缩波形、设循环、单轨下载、混音导出……想怎么玩就怎么玩。硬核亮点： 本地全速运行：自动识别 GPU，Apple Silicon 上快得飞起 智能分析：自动算 BPM、调性、响度，扒谱党狂喜 超灵活：想只拆几轨、留原声道做参考也行，处理中途随时取消 练歌、扒谱、做 remix、 stem 练习……全都能干。这波真香啊，比那些动不动就收费的云端分离服务爽多了！ github.com/thcp/stemdeck自己搭起来玩，数据安全又免费，强烈推荐！

how to build anything rn: - get a hetzner, do, or hostinger vps - host hermes on it - add gbrain or implement your own memory vault using qmd + sql - set up hermes with codex auth -> gpt-5.5 / no reasoning / fast mode - install orca on your macbook and phone with tailscale to have a nice ide to work on both - before starting any work, ask hermes to conduct deep research on the subject and save it to gbrain as source material for the project - use the `/grill-me` skill or a similar prompt to uncover as many unknowns as possible. save results to memory too - define/write clear evals for every project to determine whether a run was successful - have hermes iterate over the project until all evals pass, saving all learnings to the vault along the way - whenever it gets stuck, use memory + a new research or `/grill-me` session to unblock it rinse and repeat until the work is done. pay attention to the process. develop a feeling for how long tasks should take and do not be afraid to stop a model mid session to ask for status and why it's taking so long.

⚡️Civilization-scale returns are only available when the asset looks socially insane before the world has a category for it. That is the part most people cannot metabolize. They look backward and say, “$3,000 into Bitcoin became billions,” as if the trade was sitting there cleanly labeled. It was not. In 2010, Bitcoin looked like a weird internet money experiment with no institutional protection, no obvious valuation model, no cultural legitimacy, no reliable custody, no guarantee of survival, and no reason for normal people to believe it would matter. The upside existed precisely because the world did not yet know how to price it. That is the hidden law. Extreme asymmetry lives inside category confusion. Once something becomes legible, respectable, liquid, and institutionally blessed, the return profile changes. Tesla was a heroic company trade. Bitcoin was a monetary ontology trade. Different species. Tesla required seeing that electric vehicles, software, batteries, manufacturing scale, and Elon’s reflexive cult could compound into a new industrial giant. Hard call. Huge win. Bitcoin required seeing that money itself was broken, that digital scarcity could become credible, that a leaderless protocol could survive every attack, that belief could harden into collateral, and that the internet would eventually need native hard money. That is a deeper call because it requires betting on a new layer of reality before the consensus had language for it. The deeper truth is darker: almost nobody could have held. A normal person who turned $3,000 into $30,000 would feel brilliant and sell. A stronger person who turned it into $300,000 would feel financially transformed and sell. A monster who turned it into $3 million would feel set for life and sell. Holding to billions would require either lost keys, religious conviction, pathological detachment, or a level of structural belief almost indistinguishable from madness while living through the drawdowns. That is the part people miss. The real barrier to the greatest trades is not intelligence. It is identity durability under extreme social and financial pressure. The next Bitcoin-level thing will not announce itself as “the next Bitcoin.” The real successor will look conceptually offensive at first. Too strange. Too early. Too fragile. Too cultish. Too hard to explain at dinner. Too easy for smart people to dismiss. The question is not “what can 1000x.” Garbage can 1000x on paper. The question is: What looks absurd today but resolves a real civilizational constraint better than the existing system? That is the only hunting ground that matters.

Ash Crypto @AshCrypto

5 days ago

This is absolutely insane. If you invested $3,000 in Tesla's IPO in June 2010, you'd be a millionaire today. If you invested the same $3,000 in $BTC that same month, you'd have $5.35 BILLION today.

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These look interesting.. @grok list each repo and it’s critical and high security vulnerabilities based on packages used.

Harman @itsharmanjot

5 days ago

10 GitHub repos so good they shouldn't be free. 1. AutoHedge An autonomous hedge fund built in Python with four AI agents: a director generates investment theses, a quant validates them, a risk manager decides position size, and an execution agent places orders. Operates live

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SkillSpector - a new security scanner for skills by NVIDIA • Scan AI agent skills before installing them • 64 security checks across 16 categories • Fast static analysis + • Optional LLM semantic evaluation • Prompt injection detection • Credential theft detection • Supply-chain vulnerability scanning • AST & taint-flow analysis • MCP security checks • Optional LLM review layer • SARIF output for CI/CD Think "Semgrep + antivirus" for AI agent skills. github.com/nvidia/skillsp…