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This workflow uses Claude and Gamma to automate pitch deck creation. After connecting Gamma and Google Drive and saving templates, Claude is prompted to generate a deck using a selected template and content from an existing document. It structures the slides and fills in content, while Gamma handles design. Final tweaks are made in Gamma before sending.
AI makes it much faster to turn raw marketing data into visual reports that uncover content and campaign patterns. This example uses JavaScript and AI to convert two years of LinkedIn post data into an interactive dashboard in about 15 minutes. The dashboard shows the best posting times, topic trends over time, and engagement patterns that were hard to spot in raw data. Export data from platforms like LinkedIn, Google Search Console, GA4, your CRM, or email tools, then use AI to structure the data and build HTML dashboards that help improve content and marketing decisions.
The data layer feeding most B2B marketing automation was built three to five years ago, before current consent regulations and before lead scoring was recalibrated to match who actually converts. When humans reviewed campaigns before sending, stale data caused performance problems that usually got caught. AI agents skip that review, acting on the data layer at speed and scale with no instinct to question whether consent records are still valid. An agent will suppress high-value prospects based on rules nobody remembers or keep sending to expired opt-ins for weeks until the pipeline dries up. The failure typically shows up as a deliverability incident or unexplained pipeline drop rather than a data problem.
Corporate crisis instinct is to contain bad news and move the story on quickly. The brands that have generated the most earned media from operational setbacks did the opposite. KitKat's joke about a 12-tonne theft generated $224M in earned media and the 2026 Cannes PR Grand Prix. Calbee's decision to keep its supply-chain packaging monochrome issue visible triggered a consumer art movement. What each case had in common was early recognition that an opportunity existed rather than a problem to suppress and a response that invited participation rather than managed perception.
The most common mistake is to make a mascot more memorable than the brand behind it.
Youth unemployment is rising more from a lack of job openings than from missing AI skills.
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Maintaining Playwright scripts never ends. Sites change, anti-bot walls block, and scaling gets complicated.
Anthropic's newly released AI model Claude Sonnet 5 delivers near flagship performance at mid-tier prices. The model is aimed at giving cost-conscious enterprise developers access to powerful agent capabilities at lower costs. Sonnet 5 is now the default model for users on Free and Pro plans. API pricing is set at $2 per million input tokens and $10 per million output tokens until August 31, after which prices will rise to $3 and $15, respectively.
Mark Zuckerberg met with Kalshi CEO Tarek Mansour about a possible takeover last year, but the negotiations never advanced. It is unclear why the talks broke down, but some say Mansour would not move forward with a sale and that Meta was concerned about the legal and ethical questions surrounding the business. Meta appears to still want to tap into the prediction market craze. Prediction markets have become one of the fastest-growing parts of the tech industry in recent years.
Conception, a stem cell technology company, has successfully generated the first early human egg cells derived from stem cells. The company converted blood cells into stem cells and then coaxed those stem cells into becoming miniature human ovaries, which grew early eggs. The next step in the research involves growing the stem cell-derived eggs to a point where an IVF physician could collect them surgically.
Realta Fusion has successfully powered a lightbulb using electricity harvested directly from its demonstration fusion device. The company plans to use direct electricity conversion to heat the plasma in its reactor. The process is estimated to be 90% efficient. Helion, a startup backed by Sam Altman, is also planning to deploy direct energy conversion technology in its reactor, though it has yet to demonstrate that publicly.
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TLDR reaches 7 million professionals who read daily to stay current on industry news, emerging tools, frameworks, and best practices. Connect with developers, PMs, founders, and tech leaders who are actively seeking and evaluating solutions [12] that improve how their teams work.
Copybara is a tool for transforming and moving code between repositories. One common use case is for projects that require maintaining a confidential repository and a public repository in sync. The tool allows contributions to any repository, but one repository must be selected as the authoritative repository so that there's always one source of truth. Copybara is stateless, which allows several users to use it for the same config/repositories and get the same result.
AI often generates high-quality local chunks of code, but it struggles when asked to generate code that requires a global understanding of the program. This problem could be solved in the next one or two generations of models. One possible way of solving the issue is through programming language design. It is likely that a large company will attempt to solve the issue through programming language design soon, especially if model advancements don't fix it.
Anthropic has agreed to address the workarounds that researchers at Amazon used to evade the safeguards for Fable. Access to the model will begin to be restored today. The agreement is expected to involve the Center for AI Standards and Innovation, a government testing unit.
Amazon is investing $1 billion into a new Forward Deployed Engineering unit that will help customers build and roll out AI systems. Forward-deployed engineers are employees who are embedded directly within another business to accelerate a technical transformation. The term was coined by Palantir more than a decade ago, but it has recently seen a resurgence in the AI era. Other leading model developers, including OpenAI and Anthropic, also have their own FDE units.
fenic is a DataFrame query engine for semantic data processing that turns AI-assisted exploration of structured and unstructured data into reusable and inspectable DataFrame pipelines.
Tesla is targeting a retail price of under $30,000 per Cybercab with a long-term production goal of two million units per year.
Many apps appear to be moving to Klipy, a GIF service created by one of Tenor's founders.
A 'Where's Waldo' style image generated by Nano Banana 2 Lite, the fastest and cheapest Gemini image model.
Work is increasingly about assigning work to agents rather than working together with chatbots.
Let it crash, just don't be empty-handed when it does.
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Today's LLMs are brilliant, but have terrible memory. Every session starts at zero. You upload, re-explain, update... over and over.
Anthropic has introduced Claude Sonnet 5, a lower-cost Sonnet model with stronger agentic performance in planning, tool use, coding, and knowledge work. Its capabilities were described as approaching Opus 4.8 while improving substantially over Sonnet 4.6.
Google released Nano Banana 2 Lite, its fastest and most cost-efficient Gemini Image model, alongside Gemini Omni Flash for video generation and conversational editing. The models are available through AI Studio, the Gemini API, and Google's enterprise and consumer products.
Anthropic has received notice that the export controls on Claude Fable 5 and Mythos 5 have been lifted. The company will start restoring access tomorrow. Another update is expected soon.
Anthropic has announced Claude Science, an AI workbench app available in beta for Pro, Max, Team, and Enterprise users on macOS and Linux. The workbench integrates fragmented scientific tools into a single environment, natively rendering 3D protein structures, genome browser tracks, and chemical structures.
Thinking Machines is an AI research lab focused on human-AI collaboration. It believes that real work benefits from continuous collaboration, where the human clarifies, redirects, and gives feedback as a model goes along. This requires an interface that supports that instead of treating the human as someone who hands off a task and walks away. Thinking Machines' interaction models make interactivity a part of the model itself. The company plans to open a limited research preview in the coming months, with a wider release later this year.
AI models typically produce one token at a time - you can't compute the third token before you have the second. The GPU does most of the heavy lifting, but there is also some work that needs to be done by the CPU. GPU bubbles occur when the GPU sits idle in a loop waiting for the GPU to complete its job. This article looks at how to hide these bubbles using a technique called pipeline decoding, which involves starting the GPU work on the next token while the CPU is still finishing the last one.
Domain-specialized AI models consistently outperform generalized ones because finite resources require concentrated capacity. This pattern aligns across optimization mathematics, biological evolution, market competition, and machine learning, proving that universal generality is structurally inefficient under resource constraints.
In this podcast interview with Dwarkesh Patel, 3Blue1Brown creator Grant Sanderson discusses how AI's rapid, uneven progress in mathematics provides a roadmap for how it will transform the broader economy. Sanderson notes that while AI can rapidly brute-force fields like geometry, it still struggles with playful combinatorics problems that require deep conceptual creativity.
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It's harder than it should be to evaluate agent performance—especially if waiting for a key event that might occur days later.
Meituan has officially launched LongCat-2.0, a massive 1.6 trillion-parameter Mixture-of-Experts model tailored specifically for agentic coding, multi-step workflows, and long-context processing. Notably, the model was unmasked as the engine behind "Owl Alpha," a highly popular stealth model on OpenRouter that recently ranked in the top three by global daily volume.
OpenAI's GeneBench-Pro is a benchmark that evaluates how AI agents handle ambiguity, revise assumptions, and choose analysis paths in computational biology. It focuses on research-level tasks across genomics, quantitative biology, and translational medicine.
Researchers set out to find out how good frontier LLMs are at doing frontier theory research. They designed a prover-verifier workflow that used GPT-5.5 Pro as the solver and Claude Opus 4.7 as the verifier. This workflow was stress-tested on open problems from areas with very different levels of familiarity. The results were surprisingly strong and the system resolved a list of open questions.
Miles is a framework for large-scale LLM RL post-training. It makes frontier-scale LLM RL easier to build, reproduce, and operate. RL post-training has become a distributed systems problem as models have become larger and run across more distributed and specialized hardware. Miles makes large-scale LLM RL training more composable, reproducible, and easier to scale while keeping the core trainer small enough for researchers and infrastructure teams to customize.
Claude Code fingerprints custom API routing inside model context. While Anthropic has real reasons to care about unofficial Claude routers, the implementation is not transparent. Its technique makes a line of model context look semantically neutral while using punctuation to carry routing metadata. It almost crosses the line into becoming spyware.
Anthropic is starting an internal drug discovery program to develop AI tools designed for drugmakers. The company will focus on discovering treatments for neglected diseases that traditional biopharmaceutical companies wouldn't consider attractive targets. It is unclear what Anthropic will do if it finds any promising drug candidates.
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Etched has already booked $1 billion in contract orders for full systems powered by its chip.
Guest users can only access a limited set of features, so it is unclear whether the performance gains will carry over to the full product.
Base44 aims to eventually outperform frontier models.
Alleged leaked files from Indian supplier Tata Electronics, including grainy drop-test photos, appear to show the Apple iPhone 18 Pro with a design that is almost identical to the Apple iPhone 17 Pro, featuring the same large camera module and rear glass cutout. The most noticeable changes are improved color matching around the rear glass, eliminating the two-tone appearance, and hints that a new deep red color option may be introduced, with many online commenters joking that it looks like an "iPhone 17.01." The comparison to the famous Apple iPhone 4 leak highlights how dramatically iPhone design evolution has slowed, making the familiar-looking design one of the reasons many people find the leak believable.
Microsoft is testing Screen Tint, a new accessibility feature for Windows 11 that overlays the entire screen with a customizable color tint to reduce eye strain and light sensitivity without changing the display's color temperature like Night Light. Users can choose from six preset colors or create their own, adjust the tint intensity, and even use it alongside Night Light, although enabling it disables Windows' existing Color Filters. The feature is currently available in the latest Windows Insider preview build and is joined by other improvements. It could become one of the most useful additions for people who spend long hours working or gaming on their PCs.
Trump's new "Patriot Passport," a limited-edition design commemorating America's 250th birthday, features his image and signature alongside the Declaration of Independence. Historically unprecedented, no sitting or former head of state — not even dictators like Gaddafi — has appeared in a nation's passport while alive. Valid until 2036, the passport blurs the line between personal branding and institutional identity, outlasting Trump's presidency by seven years.
Design system agents have shifted from passive readers to active authors, and the pace of that change has outrun existing review models. Through tools like Figma's MCP and Storybook 10.3, agents now modify canvases, edit tokens, write documentation, and author their own instruction files. Teams best positioned treat tokens as versioned APIs, write purpose-driven component descriptions, and assign clear ownership to reviewing agent-generated changes.
Motion design treats time as a core design material, where understanding its mechanics transforms movement into meaningful communication. Three Figma motion designers note that unlike static design, motion unfolds through rhythm, pacing, and transitions — best informed by physics, nature, and film. While AI is making motion more accessible, foundational principles developed over a century remain essential to creating great — not just good — motion.
Many creatives feel their roles have shifted from generating original ideas to refining AI-generated work, creating a fear that their creative thinking and confidence will deteriorate if they rarely start from a blank page. Designers and creative leaders recommend protecting creativity by maintaining personal projects, setting boundaries with clients, using AI as a limited exploration tool rather than a replacement for thinking, and continuing to practise original ideation to preserve curiosity, judgment, and innovation. The broader message is that while AI will remain part of creative workflows, professionals should actively defend their role as strategic creators rather than becoming technicians who simply polish machine-generated output.
Describe a scene or upload a still image, pick a model, and get a usable clip in minutes. Epochal connects prompt-to-video, image-to-video, and the AI image generation you need to build the opening frame, so concept, iteration, and the final asset stay in one place.