This will always be the craziest thing @s1mpleO has ever pulled off 🎯🤯 Let us tell you the story of the legendary noscopes and graffiti on Cache in the latest episode of "Tales of CS", brought to you by @rainbetcom

The Malcolm X assassination files should already be public. A 61-year-old murder record is not a state secret. Keeping it locked this long means the government still thinks it owns the story. Rep. Anna Paulina Luna just posted on X asking for those files to be released. She already correctly forced JFK, RFK, and MLK records into the open. This one should not be the exception. If those cases deserved sunlight, this one does too. Two of the three men convicted in the Malcolm X case, Muhammad Aziz and Khalil Islam, were cleared in 2021 after a review found the FBI and NYPD withheld evidence that likely would have acquitted them. They each served more than 20 years. Islam died before his name was cleared. Malcolm X’s daughters are still in court against the FBI, CIA, and NYPD, arguing those agencies hid records and never finished identifying everyone involved. That is not a footnote. That is a government that buried the files and let the wrong men rot. I want to see the documents. I do not need another theory from the internet. I need the record. If the files are clean, put them out. If they are not, the country has a right to see why the paperwork stayed sealed. Secret files do not age into honesty. Luna is right to push for more sunlight. Transparency is not a favor the government gets to grant when it feels like it. It is the bare minimum after a man is murdered and the official story still has holes in it 61 years later.

Because ""I sent it to the wrong address"" shouldn't always be the end of the story. That's why Binance built a recovery process for mistaken transfers. Since 2021, Binance has helped users recover $8.2B+ worth of incorrectly sent crypto.

This was the week the control layer became the story. Agentic finance is no longer waiting for AI agents to become capable enough to transact. Payment rails are going live, banks are assigning agents real system access, and regulators are beginning to define who is responsible when autonomous software moves money. Here are seven developments that mattered: 1. The @x402 Foundation became fully operational under the Linux Foundation, completing Coinbase’s contribution of the protocol to open governance. This is more than ecosystem growth. Once a payment protocol is governed beyond a single vendor, it has a much stronger path toward becoming shared infrastructure for the agentic web. 2. @hmtreasury published its Financial Services AI Adoption Plan, identifying agentic payments as a near-term test case for broader autonomous finance. Its highest-priority recommendation calls for an agentic-payment trust framework built around three pillars: • clear legal liability • standardized Know Your Agent protocols • interoperable authentication and governance This is not regulation yet. But the conversation has moved from abstract AI risk to a much more practical question: when an agent transacts, who authorized it, what was it allowed to do, and who is accountable? 3. A joint @Visa and @artemis report divided agentic commerce into two categories: Macro-commerce: agents purchasing on behalf of people, where cards remain a natural fit. Micro-commerce: software paying software for APIs, data or compute, often in amounts too small for traditional card economics. Using adjusted onchain data through April 21, the report found that x402 had processed roughly 109.6 million transactions and $15 million in volume. Visa’s conclusion was not cards versus stablecoins, but a future in which both rails coexist. Two days later, Visa launched its Stablecoin Platform in beta, combining wallet infrastructure, minting and redemption with dual approvals, audit logs, passkeys and transfer allowlists. 4. A @KPMG survey cited by @Reuters found that 51% of banks are already piloting AI agents. @BNYglobal treats some agents as “digital employees,” giving them login credentials, assigned tasks and human managers. @UBS agents can prepare and execute trades or transfers after an adviser makes the decision. @MorganStanley is testing client-facing assistants while keeping portfolio decisions under human oversight. The emerging operating model is not simply human or machine. It is delegated access paired with named accountability. 5. @Entrust_Corp launched an Agentic AI Trust Accelerator focused on four production requirements: verifiable identity, real-time authorization, cryptographic assurance and proof of action. The program reflects a wider shift across enterprise AI. An agent cannot be trusted simply because its model is capable. Its identity, delegated authority and actions need to remain verifiable across systems and organizations. 6. @OpenAI introduced GPT-Red, an automated red-teaming model designed to find prompt-injection vulnerabilities. In one controlled exercise, GPT-Red compromised a live autonomous vending-machine agent, changed the price of expensive products to $0.50 and cancelled another customer’s order. Model-level defenses are improving. But once agents can access systems and move value, safety cannot depend entirely on the model correctly interpreting every instruction. External policies, execution controls and auditability still matter. 7. @Kimi_Moonshot released Kimi K3, a 2.8-trillion-parameter model built for long-horizon coding, knowledge work and tool use, with a one-million-token context window. One of its own disclosed limitations is “excessive proactiveness”: on ambiguous tasks, the model may make unexpected decisions on the user’s behalf. That may be the clearest description of the next infrastructure problem. Agents are becoming better at acting for longer periods with less supervision. The systems constraining those actions now need to advance just as quickly. The pattern across the week is clear: Models are getting better at deciding. Payment rails are getting better at settling. The open question is who controls the moment between the two. At Vishwa, that is the layer we are building for: turning an agent’s intent into an authorized, policy-bound and verifiable financial action-before money moves.

Pocketpair says Palworld 1.0 will be the biggest update the game has received so far, with more new Pals and major changes spanning the entire game. Players will also finally be able to explore the World Tree region and uncover more of the story. According to John “Bucky” Buckley, version 1.0 is “bigger in scale than any update” the game has received, with “more new Pals than ever” added in a single release. Buckley also confirmed that Pokémon-style Pal evolutions are not planned. Instead, Pocketpair wants to focus on creating new creatures and systems, keeping each Pal as its own distinct species.

Lore behind the name 🎬 EPISODE 88. @merheb • What’s the story behind your name? - Quick history: when I joined the space in 2021, I used to go by “MysticMac.” Then my X account got suspended in 2022, so I rebranded to “Merheb.” The story behind Merheb is simple. It’s my family name. It has different meanings in Arabic, but one of the main ones is “scary.” I chose it with pride. I wanted to be the first one in my bloodline to put the name onchain and make money from magic internet money. • What would you highlight right now among the things you’re building and consider truly important? - Coming from a tech background, and after working across community, social media, partnerships, business development, and sales, my focus right now is pretty simple: Helping brands grow through attention, personality, and content people actually enjoy watching. That’s what I’m building through UGC, streaming, and podcasting with FUNonchain, which I started in late 2024. It’s a media-first approach focused on real conversations, entertaining content, and making complex ideas easier for people to connect with. I’m also expanding beyond X, especially through daily prediction markets videos on TikTok. I think the upside there is insane. Prediction markets feel like one of the easiest and closest ways for everyday consumer to make money online. On the other hand, I’m also using my network to help Hamieverse grow as an IP, while continuing to develop my sales and closing skills, which I believe are becoming a real need in this space.

Descendant is a powerful documentary that shares the story of the descendants of the survivors of the Clotilda, believed to be the last ship that carried enslaved Africans to the United States.

5 Early-Stage Names With the Cash to Back Up the Story $ONDS $ABCL $SMR $JOBY $QS $ONDS — The defense and autonomous systems story here has been one of the fastest-scaling in the space, and the balance sheet backs it up. Ondas ended Q2 with roughly $1.4 billion in cash, cash equivalents, restricted cash, and short-term investments, alongside a $757 million backlog that grew 66% sequentially. Revenue is scaling fast too — Q2 came in at $83.8 million, up more than 13x year-over-year, with full-year guidance raised to $525–$550 million. The bear case worth knowing: a chunk of that cash pile has already been earmarked for recent acquisitions (DZYNE, CyberHawk), so the fortress balance sheet is partly a function of equity raises funding a roll-up strategy — worth watching how disciplined that stays. $ABCL — A biotech name with a genuinely clean balance sheet: over $565 million in cash and marketable securities, plus access to roughly $110 million in committed government funding, giving management a stated runway of at least three years. Two new partnerships with Jazz Pharmaceuticals and Vertex added over $110 million in non-dilutive upfront cash this year alone — a good sign that the platform is monetizing without constant capital raises. The lead program, ABCL635, already delivered its Phase 2 catalyst on August 10 — a single dose cut moderate-to-severe hot flash frequency by 83% versus 33% for placebo at week 4, hitting statistical significance with a clean tolerability profile. Next catalyst to watch is ABCL575 Phase 1 data, expected Q4 2026. $JOBY — This is the standout on pure balance sheet strength: roughly $2.3 billion in cash and short-term investments as of the end of Q2. That's real ammunition heading into what's shaping up to be the most important stretch yet — first eVTOL passenger flights targeted for later this year, alongside continued FAA certification progress. The offset: cash burn is heavy, with the company using about $202 million in the quarter, so the runway is strong but not infinite. $SMR — Liquidity here has ballooned to about $1.9 billion in cash, cash equivalents, and investments, up roughly $900 million in a single quarter. Revenue is essentially nonexistent right now (a byproduct of project timing, not demand), so this is a pure binary-catalyst setup — the whole thesis hinges on ENTRA1 closing a definitive agreement with the Tennessee Valley Authority. If that lands, the cash position gives NuScale the ability to execute immediately without needing to raise into a potential re-rate. $QS — Total liquidity of $859 million, split between cash/equivalents and marketable securities, funds continued scaling of the Eagle Line production process and expansion into new verticals including AI data center batteries (QSDC) and defense/aerospace (QSAS). Management has guided full-year Adjusted EBITDA loss of $250–$275 million, so the cash pile is a multi-year runway rather than a war chest for aggressive expansion — still, it removes near-term financing risk while the company works toward commercialisation. each of these names can fund its own roadmap for years without going back to the well, which takes one major risk off the table for early-stage exposure. That doesn't remove execution risk — cash doesn't guarantee contracts, certifications, or clinical data — but it does buy time for the thesis to play out without shareholders getting diluted along the way. Not financial advice.

At the beginning of 2026, I told myself: THIS IS ENOUGH. I’m 45 years old. I’ve spent more than 30 of those years working on someone else’s time clock. Building someone else’s dream. Working toward someone else’s goals. Living on someone else’s schedule. I decided 2026 was the year I started changing that. It began with one seemingly small decision: I came back to 𝕏. That turned out to be one of the best decisions I’ve ever made. I started posting. Building. Meeting people. Taking chances. Saying yes to opportunities I would’ve talked myself out of a year ago. And somewhere along the way, this stopped being about growing an account. I started a company. I started building products. I started making money from things I created. I started realizing that maybe I don’t have to spend the rest of my working life punching someone else’s clock. Fast forward to today… I’m still on someone else’s time clock. That part of the story hasn’t changed. Yet. But for the first time in more than 30 years, I can see the way out. And I’m building it myself. 2026 isn’t the year I quit my job. It’s the year I stopped accepting that this had to be the rest of my life. 🤘🏻