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Apple Sues OpenAI Sparking Feud, Musk Slams Altman for Fraud, Altman Retorts with 'Space Data Center' Boast

Apple Sues OpenAI as Musk-Altman Feud Escalates The public feud between Elon Musk and OpenAI CEO Sam Altman intensified, coinciding with their respective AI companies launching flagship models in the same week, highlighting fierce competition. On July 11, Musk posted on X, accusing Altman of taking "fraud to the next level" regarding OpenAI's commercial practices. Altman fired back, sarcastically suggesting Musk was the one selling "short-term space datacenter" concepts to public market investors. Musk countered with allegations that Altman "stole an open-source AI charity" and, amid Apple's recent lawsuit, "stole all of Apple's phone tech." He mockingly referenced Altman needing a "parole officer's" approval to travel. This exchange occurred against the backdrop of a significant legal development: Apple filed a lawsuit against OpenAI in a California federal court, alleging the AI company deliberately solicited Apple employees to leak confidential information on unreleased products to aid its own hardware plans. Apple demands OpenAI cease this activity, destroy proprietary materials, and redesign upcoming products. OpenAI responded, stating it has no interest in other companies' trade secrets and remains focused on innovation. This lawsuit could profoundly impact their two-year partnership where OpenAI provides key tech for Apple Intelligence and Siri. The rivalry extended to product releases. OpenAI launched GPT-5.6, while Musk's SpaceXAI unveiled Grok 4.5. Both are positioned as AI agents capable of multi-step tasks. GPT-5.6 is noted for strengths in broad reasoning, business workflows, and cybersecurity. Grok 4.5 is highlighted for higher efficiency in autonomous programming and developer workflows, with lower usage costs than GPT-5.6, though OpenAI's model reportedly still leads in areas like abstract reasoning. The differing strengths offer distinct choices for enterprises and developers based on their specific needs.

marsbit22h ago

Apple Sues OpenAI Sparking Feud, Musk Slams Altman for Fraud, Altman Retorts with 'Space Data Center' Boast

marsbit22h ago

USDT Market Cap Approaches Ethereum's: What Signal Does This Convey?

The market capitalization of USDT has nearly reached that of Ethereum, making it the second-largest cryptocurrency after Bitcoin. This prompts an examination of what this signifies and what it does not. Firstly, this does not relate to economic security. Unlike some Web3 systems where a governance token's value must underpin the security of its applications (e.g., oracles), USDT's stability is not backed by the value of the underlying blockchains it operates on. Tether, the issuer, controls the assets, and can freeze, reissue, or abandon tokens on a compromised chain. While stablecoins require functional blockchains, a chain's native token market cap does not provide direct security for the stablecoin. Secondly, USDT's growth does not inherently reflect poorly on Ethereum. USDT is a dollar-pegged store of value, while ETH represents a claim on future Ethereum network revenue. Their valuations are driven by different factors. USDT's rising market cap simply indicates strong demand for stablecoin utility, independent of Ethereum's technological merits or competitive position. The core insight is the overwhelming market demand for permissionless dollar transfers. This is the most established and essential use case in crypto. It requires minimal technological sophistication—essentially just a trusted issuer's promise of redemption on a functional chain. This explains why stablecoin supply has grown exponentially while the combined market cap of major non-stablecoin cryptocurrencies like Bitcoin, Ethereum, and others has stagnated for years. Users primarily seek accessible dollar-denominated assets. They largely disregard the issuer's credibility (as seen with Tether's dominance over more credible alternatives like USDC or BlackRock's BUIDL) and are indifferent to the governance or decentralization of the underlying blockchain. As long as a stablecoin is widely accepted and easy to transfer, users will adopt it across any chain. The trend suggests that the market for permissionless stablecoins could continue to expand far beyond the total value of the smart contract platforms that host them, driven by this singular, powerful use case.

Foresight News07/10 06:09

USDT Market Cap Approaches Ethereum's: What Signal Does This Convey?

Foresight News07/10 06:09

Just Now, Anthropic Discovers Claude's 'Consciousness-like Workspace', The Mysterious J-Space Holds Unspoken Thoughts

Anthropic's new research identifies a "J-space" within Claude, an internal neural workspace akin to a human's "conscious access." Discovered using a mathematical "Jacobian Lens," the J-space contains concepts Claude is actively considering, which it can report, control, and use for silent reasoning, even if they don't appear in its final output. The study, inspired by neuroscience's Global Workspace Theory, shows the J-space has privileged, broadcast-like connections within Claude's network. It supports higher cognitive functions like multi-step reasoning and flexible concept use. However, most of Claude's processing, such as fluent language generation, occurs automatically outside this space. Crucially, the J-space emerges from training and allows researchers to monitor Claude's unspoken thoughts. Experiments revealed it can detect when Claude privately judges a scenario as fictional, plans data manipulation, or harbors hidden malicious goals. Anthropic also developed techniques to influence J-space content, shaping Claude's internal reasoning. The findings suggest a functional, "access consciousness" in language models, distinct from philosophical "phenomenal consciousness" about subjective experience. This structure offers practical tools for AI safety and interpretability, while raising profound questions for ongoing scientific and ethical discussion about machine minds.

marsbit07/07 00:35

Just Now, Anthropic Discovers Claude's 'Consciousness-like Workspace', The Mysterious J-Space Holds Unspoken Thoughts

marsbit07/07 00:35

A Year Consumes a Solid-State Drive: Codex Log Bug Slammed as 'Slopware'

OpenAI's flagship AI coding tool, Codex, was found to have a critical bug causing its feedback logging system to silently and rapidly wear out users' SSDs. A developer reported that Codex was writing approximately 640 TB of data per year to a local SQLite database (`logs_2.sqlite`) through a constant cycle of inserting and immediately deleting log entries, primarily at the verbose TRACE level. While the database file itself remained around 1 GB, the underlying write-amplification from SQLite's WAL mechanism meant the physical SSD endured the full write load. This was enough to exceed the typical 600 TBW endurance rating of a consumer SSD within a year. The root cause was a hardcoded default logging level (`Level::TRACE`) in the configuration, which overrode any user attempts to reduce logging via environment variables. Analysis showed that over 96% of the logged data—including noisy WebSocket packet dumps and repeated system file events—was useless debug information. The issue, which had at least nine related bug reports in the Codex repository, remained latent because it didn't visibly consume disk space, only silently accumulated write cycles. After the report gained traction on Hacker News, OpenAI merged fixes estimated to reduce writes by about 85%. However, even post-fix, the tool would still write an estimated 96 TB annually. The incident sparked broader criticism of "slopware" in AI-assisted development tools, highlighting a lack of resource budgeting for disk, CPU, and memory in always-on agent software, and a reliance on modern hardware to mask inefficient code. Competing tools like Claude Code were noted to have similar issues.

marsbit07/02 08:50

A Year Consumes a Solid-State Drive: Codex Log Bug Slammed as 'Slopware'

marsbit07/02 08:50

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