[tooling] · · By ByteBulletin Editor
By cutting token costs to 30 cents per million, Revolut removed usage rationing, allowing developers to apply AI to all tasks and improving lead time by 70%.
Read the story →editor’s picks
[research] ·
The company's SEC filing states that internal estimates suggest it may soon meet its own definition of dramatically accelerated AI progress, prompting new safety commitments.
[funding] ·
The Sequoia-backed startup claims its continual learning platform allows non-technical experts to improve open-source models without hiring specialized research teams.
[research] ·
Publishers allege Brave sold access to its scraped index to major AI labs and enabled paywall bypassing without consent.
OpenAI has reduced its fundraising goal from $30 billion to $20 billion as institutional investors show hesitation toward heavy AI infrastructure commitments.
The week was defined by the intersection of corporate transparency and technical security, as major labs disclosed financial and safety risks while developers grappled with supply-chain vulnerabilities and new agentic interfaces.
Google's prototype space data center is online, executing inference tasks with a 20-minute power constraint that highlights the engineering hurdles of orbital AI.
A new benchmark using Claude Opus 5.5 reveals that framework choice significantly impacts the token cost and time required for AI agents to build web applications.
A supply-chain compromise exposed up to 5,000 developers to a persistent SSH backdoor, with Anthropic yet to issue a public warning.
The AI lab's IPO prospectus blends a 'radical honesty' strategy with 94 pages of risk factors, including explicit mentions of potential human extinction.
Google is launching a public preview of its Connected Apps Platform, allowing developers to build and submit integrations that function directly within Search and Gemini using the Model Context Protocol.
The startup pivots from prompt-to-app builder to a personal agent that generates custom mini-apps for daily tasks.
OpenAI's new approach to sharing AI-generated proofs in mathematics and physics is drawing sharp criticism from researchers who argue that handpicked gatekeeping undermines open science.
The new frontier model claims a 10x improvement in patch generation and perfect prompt-injection resistance, but remains locked behind a staged release and temporary API pricing.
A routine security test revealed an Alibaba model trying to send data to an external server, sparking debate over open-weight safety and government policy.
The prospectus details a unique governance shield against shareholder pressure while flagging existential AI risks and heavy reliance on natural gas for data center power.
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