Best of Generative AI — April 2026

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    Article
    Avatar of collectionsCollections·6w

    Codex adds computer use, browser, image generation, and 90+ plugins

    GPT-5.5 is now live in ChatGPT, Codex, and the API (as gpt-5.5 and gpt-5.5-pro), rolling out across GitHub Copilot, Cursor, Devin, and other tools. The model targets long-horizon agentic tasks, posting strong benchmark scores including 82.7% on Terminal-Bench 2.0 and 73.1% on Expert-SWE. Codex 3.0 ships alongside it with major new capabilities: computer use on Mac, an in-app browser, image generation, document support, memory, auto-review mode, SSH into devboxes, and 90+ new plugins. NVIDIA deployed Codex to 10,000+ employees on GB200 infrastructure. OpenAI launched a formal enterprise partner program with Cognizant, Accenture, Capgemini, and others. API pricing increased, though OpenAI argues improved task completion reduces total token usage. Early user reports highlight less boilerplate code, faster responses, and better task persistence without re-prompting.

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    Video
    Avatar of continuousdeliveryContinuous Delivery·7w

    The Junior Developer CRISIS: How to Build a Team When AI Does the Entry-Level Work

    A 30-year software engineering veteran argues that comparing LLMs/AI agents to junior developers is fundamentally wrong and does a disservice to both. Junior developers are curious, eager to learn, retain knowledge, and grow — they are humans at the 'conscious incompetence' stage. AI agents, by contrast, are transactional, stateless, lack memory across sessions, have no accountability, and don't care about your codebase or users. The author coins the analogy of 'Colin the contractor' — brilliant for narrow, well-defined tasks but unreliable and mercenary. Practical advice includes: give AI small, clearly articulated steps with frequent validation; give junior devs breakable toys, pair programming, and actionable feedback. The author warns that people equating the two either treat junior devs as robots or want to justify replacing them with AI — both problematic. The post ends with a tip to de-anthropomorphize AI interactions by configuring it to respond like a text-based adventure game.

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    Article
    Avatar of collectionsCollections·6w

    OpenAI's Codex expands beyond coding with computer use, image generation, and scheduled automations

    OpenAI has expanded Codex into a general-purpose agent platform with background computer use (Mac only), an embedded browser, image generation, 90 new plugins, and persistent scheduled automations. A new Chronicle feature passively captures screenshots and builds context in the cloud — raising GDPR concerns and privacy risks. Codex now has 4 million weekly users, with 80%+ of OpenAI employees using it for non-coding tasks. Moonshot AI has open-sourced Kimi K2.6, an agentic coding model scoring 80.2% on SWE-Bench Verified and supporting Agent Swarm architectures with up to 300 sub-agents. A head-to-head comparison against Claude Opus 4.7 shows K2.6 scoring 68/100 vs 91/100 on a complex workflow spec, but at roughly 19% of the cost. K2.6 is practical for scaffolding and prototyping where cost matters; Claude Opus 4.7 remains stronger for correctness-critical work.

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    Article
    Avatar of idialloIbrahim Diallo·4w

    The Satisfaction of a ChatGPT Plan

    People are increasingly sharing AI-generated business plans instead of their raw ideas, deriving psychological satisfaction from the elaborate output without actually reading or understanding it. The author observes that friends who share ChatGPT plans can't answer basic questions about them because they're seeing the content for the first time. This mirrors social media's engagement-maximizing behavior: AI providers aren't trying to make users knowledgeable, but to keep them engaged, spending tokens, and exposed to ads — creating an illusion of productivity and competence.

  5. 5
    Article
    Avatar of hnHacker News·8w

    I quit. The clankers won.

    A passionate argument against giving up blogging and personal expression in the face of AI dominance and Big Tech consolidation. The author pushes back on the growing sentiment that coding and blogging are 'cooked', arguing that authentic human voices are more valuable than ever. Key points include: blogging improves professional skills and memory, original thought stands out when everyone defers to AI, generative AI produces mediocre output that nobody truly cares about, and developers should embrace the indie/open web rather than playing Big Tech's game. The post is a call to action to keep writing, keep sharing expertise, and resist the deskilling of the craft.

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    Article
    Avatar of wheresyouredWhere's Your Ed At·4w

    AI's Economics Don't Make Sense

    A detailed critique of the economics underpinning generative AI, arguing that subscription-based pricing for LLM services was fundamentally deceptive and unsustainable. GitHub Copilot's shift to token-based billing is used as a case study showing that AI companies have been subsidizing massive compute costs for years, training users to consume far more than their subscriptions cover. The piece breaks down the broken unit economics of AI data centers (using a 100MW theoretical model and Stargate Abilene as examples), estimates that $156.8B in annual compute revenue is needed just for data centers currently under construction, and argues that OpenAI and Anthropic have no credible path to profitability. The author contends that hiding true token costs from users was a deliberate strategy to grow adoption, and that the transition to usage-based billing will expose just how expensive and often unjustifiable AI tooling really is.

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