The SEC just drew a clearer legal line through the tokenized-stock market. On one side are tokens that represent the stock itself, or preserve the same rights as the underlying security. On the other are products that simply track the economics of a stock through notes, certificates, derivatives or synthetic exposure. That distinction now matters much more because @SECGov has opened a five-year pathway for qualifying tokenized NMS stocks to trade through permissioned AMMs on public blockchains. The important detail is that a large portion of today’s tokenized-equity market does not automatically qualify. — ● The SEC did not broadly approve tokenized stocks On September 17, 2026, the SEC introduced a temporary Innovation Exemption for qualifying tokenized NMS securities. The framework allows Tokenized Securities Venues to operate permissioned AMMs without registering under the same structure as traditional exchanges, provided they satisfy the exemption’s conditions. Some liquidity providers can also receive conditional dealer relief. The underlying smart contracts can still operate on public blockchains, but participation in the regulated market remains permissioned. The structure therefore looks more like: Public blockchain -> permissioned participants -> AMM liquidity -> regulated tokenized equities This is a controlled market-structure experiment rather than a blanket approval of every tokenized stock already trading onchain. — ● The biggest distinction is what the token legally represents The SEC framework recognizes two broad models. • The first is issuer-native tokenization. A company, together with its transfer agent or another authorized party, can issue the actual share directly onchain. The token represents the security itself. • The second is a third-party custodial model. In this case, the underlying stock remains in traditional custody while an onchain token represents an ownership interest in that security. For the token to fit the framework, it has to preserve the same rights and privileges as the traditional share, including things such as dividends and voting rights. That is where the market begins to split. A token that represents actual equity ownership is fundamentally different from a token that only follows the price of the equity. — ● Two tokenized-equity markets are now emerging • The first market consists of rights-preserving tokenized securities. These products try to bring actual equity ownership, or a legally equivalent ownership interest, onto blockchain rails. Platforms such as @DinariGlobal and newer U.S. structures from @Ondo are moving closer to this model, while firms such as @Securitize are already building infrastructure around regulated tokenized securities. Dinari’s dShares, for example, are backed by securities held through regulated custody and are designed to preserve dividends, voting rights, corporate actions and redemption rights. • The second market is built around economic exposure. This includes structures where the token tracks the performance of a stock without giving the holder direct shareholder rights. @xStocksFi uses tracker certificates that provide exposure to underlying equities but do not confer voting rights. @RobinhoodApp’s existing international Stock Tokens are structured as tokenized debt securities that provide economic exposure without giving holders legal or beneficial ownership of the underlying company. Stock perpetuals on venues such as @HyperliquidX sit even further from direct equity ownership because they are derivatives. The price exposure can look similar across all of these products, but the legal claim behind them is very different. — ● Ondo shows why the distinction can get complicated @Ondo now operates across different tokenization structures. Its older global model uses products issued through Ondo Global Markets in the BVI. Those instruments provide economic exposure to the performance of underlying stocks through note-like structures rather than direct equity ownership. Its newer U.S. model is different. The U.S. structure uses traditional custody and market infrastructure, with Broadridge supporting proxy voting and shareholder communications. That moves the model much closer to the rights-preserving structure the SEC is now accommodating. The important takeaway is that saying “Ondo tokenized stocks” is no longer specific enough. The legal wrapper matters just as much as the underlying ticker. — ● The SEC is also keeping the experiment deliberately small The exemption does not suddenly move U.S. equity liquidity onto AMMs at scale. The SEC imposed strict symbol and volume limits. • Tier 1 covers S&P 500 stocks, Russell 1000 names and qualifying ETPs. Each Tokenized Securities Venue can support up to 75 symbols, with trading capped at 0.25% of the underlying stock’s prior-month average daily volume. • Tier 2 covers other qualifying NMS stocks. Each venue can support up to 250 symbols, with trading capped at 2.5% of prior-month average daily volume. These limits allow the SEC to test permissioned AMM market structure without immediately shifting meaningful portions of traditional equity liquidity onchain. The current framework is therefore better understood as a sandbox for regulated secondary-market infrastructure. — ● The interesting mismatch is where liquidity already sits The tokenized-equity market is already meaningful in size. @RWA_xyz tracks roughly $3.01B in distributed value and more than $12B in monthly transfer volume. Major platforms include: • @Ondo at roughly $854M • @bstocksfinance at roughly $754M • @xStocksFi at roughly $557M • @Securitize at roughly $358M But these numbers combine products with very different legal structures. Some represent regulated securities or ownership interests. Others are debt instruments, tracker certificates, derivatives or synthetic exposure. That creates an important mismatch. A large share of current liquidity already sits in products that are not automatically aligned with the SEC’s new framework, while the more legally aligned structures remain comparatively smaller. — The first phase of tokenized equities was mainly about bringing stock exposure onchain. The next phase is becoming much more focused on the legal quality of that exposure. The market is starting to separate simple price exposure from actual shareholder rights. The SEC’s Innovation Exemption begins solving the secondary-market problem for a narrow class of tokenized equities that preserve those rights. It does not turn every existing stock token into an onchain share. That means the most important signal from here is where liquidity begins to migrate. If capital starts moving toward structures that combine real shareholder rights, regulated custody and onchain AMMs, the tokenized-equity market will be entering a very different phase. It will be moving from simply tokenizing stock prices toward actually bringing the stock market onchain.

the new jev model is insane.. it can check your AI's work and make decisions inside software for $0.042 per million input tokens, with free output here are the first things you should use jev for: 1. second brain 2. content workflow 3. post analysis 4. SEO article review typesafe reports up to 193.6× faster results and 444.6× lower costs than the LLMs in its workflow tests you give jev information and specific questions. it returns choices, scores or probabilities that your software uses to decide what happens next 1. second brain when a document, message or meeting note enters your second brain, give jev the content and your categories identify what it is, classify the topic and check for duplicates against existing notes your software checks required fields, saves the content with its source and verifies that it was saved correctly works well with the karpathy LLM wiki framework 2. content workflow give jev your draft, and then reference your anti slop rules and voice DNA file (which defines how you write) it will check for generic phrasing, repeated points and differences from your voice. use previous content and its results to estimate performance potential then send results to the writing agent for revision, compare the performance estimates with results after publishing 3. post analysis jev can compare a draft with previous posts and their results to estimate how well it could perform with your audience evaluate the hook, topic and format against defined criterias. and compare those scores with the performance after it goes live 4. SEO article review give jev your article / page draft, a target keyword and the articles currently ranking for that keyword (in the top 10 SERP) compare how well they answer the query, cover the topic and provide useful information. use that comparison to estimate your article's ranking potential then your LLMs can revise weak sections before publishing, and compare the estimate with actual rankings so many more usecases, we will see many new upgrades to previous concepts and workflows we´ve read about now

The 4 elements of an effective break according to Daniel Pink: 1) Motion beats sitting. A walk restores you more than a chair. 2) Outside beats inside. 3) Breaks with people beat breaks alone, even for introverts. 4) Staring at your phone on your walk is not a break. Detach completely. "They're part of our performance, not a deviation from the performance." @DanielPink

The world’s markets are undergoing a once in a generation transition. We’ve spent the last year building ATLAS (Aggregated Trading Liquidity and Settlement), a first-of-its kind, headless exchange designed for the future of global markets. It combines the performance and fairness of a traditional exchange with the verifiability and self-custody of a decentralized exchange. The best of a CEX meets the best of a DEX. ATLAS has been built alongside the world’s leading financial institutions and is designed to deliver fair, performant markets around the globe. It delivers deep, global liquidity for both open and institutional trading venues.

The performance is about to start! Keep your eyes on me — don't look away, not even for a second! ▼//Download game from official website #ArknightsEndfield# #Endfield# #CompanionshipCelebration#

The market is experiencing historically high volatility: The performance gap between the S&P 500’s best- and worst-performing sectors has exceeded 10% in 8 weeks so far in 2026, the highest count since the 2020 pandemic. Half of these 8 episodes have occurred since late-May, even as the index itself has remained relatively unchanged. The only 3 other times that this has happened at this point in the year: 2000, 2001, and 2009, all periods of severe market stress. The full-year record was set in 2000 at 21 weeks, followed by the 2008 Financial Crisis with 15 weeks. The market is showing severe volatility beneath the surface.

The NVIDIA Vera Rubin platform is a multi-rack pod-scale system, built to process agentic AI and is now in full production. Built through extreme co-design, Vera Rubin unifies five connected rack-scale systems — the NVIDIA Vera Rubin NVL72, Vera CPU rack, Groq 3 LPX, Vera BlueField-4 STX, and Spectrum-6 SPX Ethernet — all purpose-built for global-scale agentic AI infrastructure. Vera Rubin delivers intelligence at scale, with the performance, efficiency and security needed to power the next industrial revolution. Congratulations to @Microsoft, @Dell, and @CoreWeave for each standing up their Vera Rubin NVL72 engineering racks. Learn more: