RUNNING 400B MODEL ON IPHONE
A short clip of an iPhone 17 Pro running Qwen3.5-397B-A17B (a 397 billion parameter Mixture-of-Experts model) at 0.6 tokens per second.
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A short clip of an iPhone 17 Pro running Qwen3.5-397B-A17B (a 397 billion parameter Mixture-of-Experts model) at 0.6 tokens per second.
Software companies face two clear paths: accelerate growth with AI products or achieve 40%+ true operating margins.
This suggests that agentic commerce isn't ready to replace traditional shopping.
Microsoft's superintelligence team has released MAI-Image-2, a text-to-image AI generator that currently ranks third on the Arena.ai leaderboard behind OpenAI's and Google's models. The model excels at creating photorealistic images with natural lighting and can reliably render text within generated images. MAI-Image-2 is rolling out to Microsoft's Copilot and Bing Image Creator, with API access currently limited to select business customers before expanding to all developers.
Nvidia and Adobe announced a strategic partnership at GTC 2026 to accelerate AI-powered content creation by combining Adobe's creative workflows with Nvidia's computing power. The partnership introduces a cloud-native 3D digital twin solution that enables brands to maintain pixel-perfect product accuracy. This technology can reduce campaign asset production time from 28-30 days to minutes while allowing brands to start marketing campaigns months before physical products ship.
Apple explored acquiring Lux Optics to accelerate improvements to its iPhone camera software, particularly as it pushes toward more professional-grade features on the iPhone 18 Pro, but the talks ended when Lux's founders decided future app updates could raise the company's value. Shortly after, internal tensions escalated into a lawsuit, leading to the firing of cofounder Sebastiaan de With, who was accused of retaining confidential materials, though he later joined Apple's design team. Despite the messy situation, the broader takeaway is that Apple is prioritizing major upgrades to its built-in camera app to better match its increasingly advanced hardware.
The traditional design process is dead because it's too rigid and focuses on artifacts like personas and journey maps rather than results. Step-by-step processes are unrealistic, but completely disregarding the design process removes the foundation that enables good craft and intuition. In reality, design work involves constant compromises and doesn't follow the ideal linear process, especially when working in cross-functional teams with tight sprint cycles.
Anime successfully manages emotional shifts between comedy, horror, and tenderness by maintaining continuity of stakes, providing clear mood cues, and keeping relationships as an emotional anchor. Marvel/DC films often fail by introducing competing emotional signals simultaneously, creating cognitive load that disrupts the intended feeling. These principles translate into UX design: prepare users for transitions, maintain a clear emotional direction, and avoid interface elements that conflict with or undermine important moments.
Modern product design is increasingly shaped by stakeholder expectations, market conformity, and AI-driven speed rather than genuine creative vision, pushing designers to suppress personal and culturally rooted aesthetics in favor of a “global” style that signals credibility but often lacks authenticity. While true innovation comes from bold, distinctive choices that challenge norms, organizational inertia and risk aversion mean designers often feel like outsiders in their own work, balancing between fitting in and quietly reintroducing their own taste to keep designs meaningful.
Oat is a semantic, ultra-lightweight HTML UI component library with zero dependencies. It provides a complete UI framework while maintaining an extremely small footprint.
Adsturbo is an AI-powered advertising platform designed to accelerate business growth by enabling users to create high-converting ads quickly and efficiently.
AI-first interfaces often fail because they ask users to declare their intent upfront, shifting cognitive burden from the system to the user when people typically use tools to explore and discover outcomes. This creates a problematic inversion from traditional software that reduced ambiguity through constrained inputs and predictable environments. Success requires treating AI as a paradigm shift rather than a bolt-on feature, carefully managing trust, value perception, and cognitive load to create truly useful experiences.
The “back” action—one of the most frequently used gestures on smartphones—has been inconsistently and often poorly implemented by Apple, Google, and Samsung, frequently ignoring Fitts' Law by placing it outside easy thumb reach. Although Android's dual-edge swipe is the most ergonomic solution so far, design inertia, trade-offs, and inconsistent adoption continue to make basic navigation less intuitive than it should be.
Adobe is increasingly prioritizing content creators as a distinct audience, as shown by its Creator Live event, recognizing their fast-paced, multi-role workflows and need for both better tools and real-world community support. Rather than replacing its professional focus, Adobe is expanding its ecosystem with more accessible mobile apps, streamlined interfaces, and AI tools like Firefly to help creators work faster and fill skill gaps, while still leveraging its reputation for high-quality output to differentiate itself from simpler platforms like Canva.
Illustrator Tim McDonagh created a 100-page Star Wars: Galactic Atlas for Egmont Publishing.
Gumroad has disrupted the design industry by allowing creatives to keep most of their revenue through a direct-to-buyer model with only a 10% transaction fee.
A new team member facing apparent client bias should seek support from their manager, better understand the client's expectations and behavior, confidently continue presenting their own work, and respond to challenges with clarity and context to gradually build trust and shift perception.
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AI doesn't necessarily mean developers are working less. Instead, many are paying the "velocity tax": spending 25% of their week fixing and securing AI-generated code. This hidden cost creates a verification bottleneck that stalls innovation.
TanStack Start got a 5.5x increase in throughput and a 9.9x reduction in average latency under heavy load for their SSR (server-side rendering). This was done through a repeatable process involving measuring under load, CPU profiling to identify bottlenecks, and removing entire categories of cost from the server hot path. They avoided unnecessary URL construction/parsing, eliminated client-side reactivity overhead during SSR, and implemented server-only fast paths gated by build-time constants.
Most regex engines, despite advertising linear time for single matches, suffer from a quadratic (O(n²)) performance problem when finding all matches. RE# is a novel regex engine designed to resolve this by using a two-pass algorithm, a reverse and a forward DFA, to efficiently identify all leftmost-longest matches in guaranteed linear time. It has a "hardened mode" for linear performance against adversarial inputs, and its default mode is also quite fast.
The article uncovers a significant security vulnerability in how the `psql` command-line tool cancels PostgreSQL queries. When a user presses Ctrl-C, `psql` sends a `CancelRequest` over a new and separate connection that is always unencrypted, even if the main database connection is secured with TLS. This plaintext transmission creates a Denial-of-Service risk, as an attacker monitoring network traffic could intercept and replay these requests to cancel future queries on the same connection.
This dev automated repetitive tasks like creating pull requests and delegated UI verification to agents, freeing up his mental overhead. By optimizing server rebuilds to sub-second speeds and enabling parallel work on multiple features without conflicts, he transformed his workflow.
The author used AI to create a valuable pull request for an open-source project but immediately felt like a fraud. While acknowledging that AI enables contributions they might not otherwise make due to mental fatigue, they felt empty and gained no personal satisfaction from these AI-generated results.
The IDE isn't dying, but it's being de-centered. The loop of “open file, edit, build, debug” is giving way to “specify intent, delegate to agents, review diffs, merge.”
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cq is an open-source "Stack Overflow for agents" designed to facilitate structured, reciprocal knowledge exchange among AI systems. cq allows agents to query a common knowledge base before tackling new tasks and contribute novel findings back, with information gaining trust through confirmed use by other agents.
Bombadil is an experimental, property-based testing tool specifically designed for web user interfaces. It autonomously explores UIs, validates their correctness properties, and aims to find difficult bugs earlier in the development process.
Vibe coding has gained traction among both experienced coders and novices. While it boosts productivity and allows for easy experimentation, developers are divided, with some embracing its "fun" and speed, while a minority strongly oppose it due to concerns about job displacement and de-skilling.
AI has shifted the bottleneck from implementation to judgment, fracturing engineering into three tiers. The first is tech companies where senior engineers use AI as a force multiplier. The second is large enterprises leaning on platform guardrails and fractional consultants for judgment they can't hire, and the last is small businesses finally able to afford custom software.
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Tiger Data's latest blog explains how too many indexes slow writes, turning one insert into multiple operations. Combat rising write
To prevent thousands of dollars in lost revenue from missed calls, the author built "Axle," a custom AI voice receptionist for her brother's luxury mechanic shop.
Researchers found that telling an AI model it's an expert improves performance for alignment and safety tasks but worsens factual accuracy and coding.
A one-page cheat sheet on all of Claude Code's capabilities and commands.
A community petition signed by Node.js core contributors asking the TSC to vote against allowing LLM-generated PRs in Node.js core.
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Is your search strategy stuck in 2020? Peec AI [4] helps companies understand AI visibility across models, locations, and topics. Brands like ATTIO, HUGO BOSS, and N8N use it to:
Clients expect AI-driven cost savings to reduce their retainers, while agencies that refuse to adopt AI risk falling behind competitors and in-house teams. 53% of agency owners now see AI as a significant threat, and 66% worry that junior team members will have fewer career opportunities as AI automates the foundational tasks that once served as training grounds. Larger and more specialized agencies are faring better, while generalist shops struggle most.
Big Tech is using AI internally to sell it externally, making executives and employees the first users to signal value. At Meta, Nvidia, and Salesforce, leaders tie performance to AI usage while marketing presents this as proof that it works. Spending on AI is rising, yet productivity gains remain modest, with about 40% of adults using AI at work and saving only 2% of hours, and 9% of roles fully replaced. Companies adopt norms set by industry leaders, increasing demand, while massive investments in data centers, chips, and power push firms to justify usage and accelerate adoption.
Showing both publish and updated dates can hurt CTR if Google surfaces the older one in search results. HubSpot avoids this by displaying only the updated date in standard format while listing the original publish timing as plain text, which Google ignores. This keeps search listings looking fresh while still giving readers context, helping maintain SEO performance.
Clay updated its pricing to reflect platform use beyond data, adding an “actions” metric alongside data credits and reducing tiers from 5 to 4. The team spent a year testing with agencies and customer segments to ensure fairness. Actions remain invisible for most users while guiding power users to upgrade. Transparent communication included videos, memos, and grandfathering legacy customers. Short-term revenue may drop 10%, but long-term upgrades are expected as action usage grows.
Vector drives growth with a system that turns founder insights into high-volume content. The team runs biweekly interviews and uses AI trained on each founder's voice to create LinkedIn posts. Founders stay active and post consistently. Engagement is the main lever, with 58% of follower growth coming from daily comments on relevant posts. The company page focuses on employee content. A podcast built on real internal discussions fuels the strategy, influencing 80% of open opportunities and serving as source material for posts
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AI citations are concentrated among a few domains, with content breadth and structure outweighing rankings. About 30 domains capture 67% of citations, and top Google results are cited only 43.2% of the time. ChatGPT retrieves many sources but cites few, with 85% of pages never cited and 67% of cited URLs appearing only once. Longer, structured content covering multiple queries performs best, and placing key information in the first 30% of a page maximizes attention.
Average position in GSC is an aggregated metric that often misleads and offers little actionable insight, so it is usually best ignored. An overall average position of 25 means a site ranks around page 3, since Google shows about 10 organic results per page. Query-level average position is more useful because it reflects how a specific URL ranks across users, such as averaging 1.5 if it appears in position 1 for one search and 2 for another. Special elements like image packs and AI Overviews count as positions, and appearing in them can raise a URL to position 1 even if its organic ranking is lower. Reported positions can vary due to personalization, device differences, and limited visibility of features like “People also ask,” which makes exact rankings harder to verify.