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Compute from Colossus leads to relaxed limits

Morgan Stanley is adding crypto trading to E*Trade, with a pilot now underway and a broader rollout planned for the platform's 8.6 million customers later this year. The bank is reportedly undercutting rivals with a 50-basis-point trading fee as it bets traditional finance and DeFi will converge. "By contrast, Robinhood Markets' (HOOD) fees start at 95 bps, Coinbase Global's (COIN) begins at 60 bps, and Charles Schwab (SCHW) will charge 75 bps," notes Seeking Alpha. Morgan Stanley's head of wealth management, Jed Finn, told Bloomberg: "This is much bigger than trading crypto at a cheaper rate. In a way, the strategy is disintermediating the disintermediators."

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An anonymous reader quotes a report from Ars Technica: At its Code with Claude developers' conference, Anthropic has introduced what it calls "dreaming" to Claude Managed Agents. Dreaming, in this case, is a process of going over recent events and identifying specific things that are worth storing in "memory" to inform future tasks and interactions. Dreaming is a feature that is currently in research preview and limited to Managed Agents on the Claude Platform. Managed Agents are a higher-level alternative to building directly on the Messages API that Anthropic describes as a "pre-built, configurable agent harness that runs in managed infrastructure." It's intended for situations where you want multiple agents working on a task or project to some end point over several minutes or hours. Anthropic describes dreaming as a scheduled process, in which sessions and memory stores are reviewed, and specific memories are curated. This is important because context windows are limited for LLMs, and important information can be lost over lengthy projects. On the chat side of things, many models use a process called compaction, whereby lengthy conversations are periodically analyzed, and the models attempt to remove irrelevant information from the context window while keeping what's actually important for the ongoing conversation, project, or task. However, that process, as I described it, is usually limited to a specific conversation with a single agent. "Dreaming" is a periodically recurring process in which past sessions and memory stores can be analyzed across agents, and important patterns are identified and saved to memory for the future. Users will be able to choose between an automatic process, or reviewing changes to memory directly.

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Initial phases of SpaceX's Terafab project in rural Texas are expected to cost about 1.25 Twitters

Cuts appear to hit sales, product, and marketing, accounting for under 10% of staff

jeditobe writes: Developers of ReactOS told Phoronix that the project has introduced a unified BootCD, replacing its previously separate installation media and LiveCD images. The new image combines the traditional text-mode installer with a LiveCD mode in a single medium. Within this unified BootCD, the updated LiveCD mode now includes an option to launch a first-stage GUI installer. The graphical interface is intended to make installation more approachable for new users compared to the long-standing text-based setup process. In a separate development, the project has also merged a new ATA storage driver that has been in progress since early 2024. The plug-and-play aware storage stack supports SATA, PATA, ATAPI, AHCI, and even SCSI devices, potentially expanding the range of hardware on which ReactOS can successfully boot. Following recent improvements to graphics driver support, the project continues to make incremental progress across core subsystems, though its long development timeline remains a point of discussion. Will these usability and hardware compatibility improvements be enough to broaden ReactOS adoption beyond its current niche? Please note that all new features are not present in version 0.4.15 and are available for testing in the latest nightly test builds.

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13% say they’ve sold logins or know someone who has, survey suggests

All driller, no filler

A new coat of paint

Five major publishers and author Scott Turow have sued Meta and Mark Zuckerberg, alleging that Zuckerberg "personally authorized and actively encouraged" massive copyright infringement by using pirated books, journal articles, and web-scraped material to train Meta's Llama AI systems. Meta denies wrongdoing and says it will fight the case, arguing that courts have recognized AI training on copyrighted material as potentially fair use. Variety reports: "In their effort to win the AI 'arms race' and build a functional generative AI model, Defendants Meta and Zuckerberg followed their well-known motto: 'move fast and break things,'" the plaintiffs say in their lawsuit. "They first illegally torrented millions of copyrighted books and journal articles from notorious pirate sites and downloaded unauthorized web scrapes of virtually the entire internet. They then copied those stolen fruits many times over to train Meta's multibillion-dollar generative AI system called Llama. In doing so, Defendants engaged in one of the most massive infringements of copyrighted materials in history." The suit was filed Tuesday (May 5) in the U.S. District Court for the Southern District of New York by five publishers (Hachette, Macmillan, McGraw Hill, Elsevier and Cengage) and Turow individually. The proposed class-action suit seeks unspecific monetary damages for the alleged copyright infringement. A copy of the lawsuit is available at this link (PDF). [...] the latest lawsuit alleges that Meta and Zuckerberg deliberately circumvented copyright-protection mechanisms -- and had considered paying to license the works before abandoning that strategy at "Zuckerberg's personal instruction." The suit essentially argues that the conduct described falls outside protections afforded by fair-use provisions of the U.S. copyright code.

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Commercial PC demand expected to cushion broader slowdown

MOIS-linked cyber outfit puts on a ransomware show to disguise the wide-open backdoor behind the scenes

An anonymous reader quotes a report from Ars Technica: Silicon Valley investors such as Palantir co-founder Peter Thiel have bet hundreds of millions of dollars on deploying AI data centers powered by waves in the middle of the world's oceans -- a move that coincides with tech companies facing mounting challenges in building AI data center projects on land. The latest investment round of $140 million is intended to help the company Panthalassa complete a pilot manufacturing facility near Portland, Oregon, and speed up deployments of wave-riding "nodes" designed to generate electrical power, according to a May 4 press release. Instead of sending renewable energy to a land-based data center, the floating nodes would directly power onboard AI chips and transmit inference tokens representing the AI models' outputs to customers worldwide via satellite link. Each node resembles a huge steel sphere bobbing on the water with a tube-like structure extending vertically down beneath the surface. The wave motions drive water upward through the tube into a pressurized reservoir, where it can be released to spin a turbine generator that produces renewable energy for the AI chips on board. Panthalassa claims the node's AI chips would also get cooled using the surrounding water, which could offer another advantage over traditional data centers. "Ocean-based compute might offer a massive cooling advantage because the ambient temperature is so low," Lee said. "Land-based data centers use a lot of electricity and fresh water for cooling." The newest node prototype, called Ocean-3, is scheduled for testing in the northern Pacific Ocean later in 2026. The latest version reaches about 85 meters in length and would stand nearly as tall as London's Big Ben or New York City's Flatiron Building, according to the Financial Times. Panthalassa has already tested several earlier prototypes of the wave energy converter technology, including the Ocean-1 in 2021 and the Ocean-2 that underwent a three-week sea trial off the coast of Washington state in February 2024. The company's CEO and co-founder, Garth Sheldon-Coulson, said in a CBS interview that he hopes to eventually deploy thousands of the nodes.

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Microsoft is winding down Xbox Copilot on mobile and ending development of Copilot on console, reversing plans to bring the gaming-focused AI assistant to current-generation Xbox consoles this year. "The move follows [new Xbox CEO Asha Sharma's] reorganization of the Xbox platform team earlier on Tuesday, which added executives from Microsoft's CoreAI team -- where Sharma worked before taking over Xbox -- to the Xbox side of the company," reports The Verge. Sharma said in a post on X: Xbox needs to move faster, deepen our connection with the community, and address friction for both players and developers. Today, we promoted leaders who helped build Xbox, while also bringing in new voices to help push us forward. This balance is important as we get the business back on track. As part of this shift, you'll see us begin to retire features that don't align with where we're headed. We will begin winding down Copilot on mobile and will stop development of Copilot on console. Since taking over for former Microsoft Gaming CEO Phil Spencer in February, Sharma has scrapped the Microsoft Gaming brand and cut the price of Xbox Game Pass.

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Replacing meatbags with failure prone agents isn't the gold mine some CEOs hoped for

Matz gets together with Anthropic's Claude to create an experimental ahead-of-time compiler for Ruby – though with many limitations

Big Blue escalated the OS/2 keyboard squabble through seven layers of management. Redmond's answer? Nope

Activists say ministers are targeting access rather than Big Tech's data-hungry business models

Major .de domains experienced hours-long outage after registry distributed faulty signatures