Dropdown lists are often overused because they save space and enforce valid input, but they also hide options, increase interaction cost, create accessibility issues, and frequently force users into inaccurate choices. In many cases, radio buttons (for a few options), comboboxes (for many options), or text inputs (for familiar values like dates or ages) provide a faster and more usable experience. Dropdowns are most effective only in a narrow set of situations: when there are roughly 5–10 predefined options, the field is secondary to the user's main task, or it needs to remain compact as part of a larger group of related controls. Rather than treating dropdowns as the default, designers should choose the input control that minimizes user effort while matching the task and the nature of the data.
Design systems have adopted software engineering practices, but agents generating code against these systems still can't be verified for compliance without dedicated evaluation suites. Effective evals combine mechanical checks—validating props, tokens, and component usage against the actual system—with LLM-based judgment on pattern selection and edge-case handling, run repeatedly since underlying models and rules keep shifting. While a few teams like Meta's Astryx and Intuit have begun building these regression suites into their pipelines, running such evals in CI remains an uncommon practice rather than a standard expectation.
New New Typography challenges traditional typographic principles through historical references, contemporary experiments, and contributions from nearly 100 designers, encouraging readers to rethink what typography can become.
Blender 5.2 LTS launches with major new features, including a Geometry Nodes-based physics system for cloth and hair simulations powered by an XPBD solver.
AI support bots are one of the clearest enterprise AI use cases. The other commercially-advanced use case for AI is coding agents. The industry is seeing more and more usage of open-source Chinese models. The rise of Chinese models indicates that businesses want something that isn't being offered by the American model companies.
A $10 million financing can now be called pre-seed. In 2014, pre-seed usually meant $1 million or less and enough money to find the first signs of product-market fit. Now the label is often chosen so the company can still call its next, even larger financing the seed round. If an investor says you are too early or too late, ask what they actually mean. Checking size, ownership, valuation, and the milestone expected before the next raise will tell you more than the round name. "Pre-seed" certainly does not tell you how much money the company already has.
If your company's AI bill doubled every 45 days, could anyone show what got twice as good? At 8090, token costs are growing at roughly that rate while the added productivity is estimated at only 5% to 10%. Most companies will not notice the gap until it shows up in their margins. Track AI cost and output by task, then send routine work to cheaper models and reserve the expensive ones for jobs where the answer actually improves. You should also know where prompts and employee corrections go. Those corrections can reveal how your company makes decisions to the model provider.
Your activation rate can improve while the company gets worse. AI can polish your ads and onboarding enough to bring in more signups, while the share of those customers still paying two months later falls. Most activation dashboards will show the first number and miss the second. A better funnel starts when someone first interacts with the product, then follows them through setup, aha, activation, and habit. Also track how much you spent for every account that survives month two. If signup conversion rises while month-two survival falls, you did not fix onboarding. You got better at enrolling the wrong people.
The Meta MCP is now available to developers. It allows developers to speak to Meta's platform in natural language to create and edit campaigns, ad sets, and ads, perform detailed reporting, manage catalogs and feeds, run A/B tests, and review activity logs. The platform was designed for advertisers using AI assistants and developers building AI-native ad flows. It provides structured, permission-scoped access to ads capabilities without the need for individual endpoints.
Qwen3.8 is now available on Alibaba's Token Plan, Qoder, and QoderWork. The model has 2.4T parameters and is continuously evolving. It is comparable to leading frontier models, with Alibaba claiming it is second only to Fable 5. The model will be going open-weight soon.
Anyone can design now. Give AI a screenshot and a prompt and it can produce something clean in minutes. However, "looks good" is not the same as knowing why it works, what feels off, or what to change next. Train that judgment by copying great interfaces, studying their spacing, and presenting work before it feels finished. Perhaps for your own team, ask everyone to rebuild one interface without giving the screenshot to AI. Learn to notice why one margin is 16 pixels, another is 24, and why changing either one makes the whole screen feel wrong.
Most managers tell someone to "own" a task, then get annoyed when the result is not what they pictured. This guide says to agree on four things first. What counts as done, what good work looks like, when it is due, and which resources the person can use. Then let them decide where, when, and how to do it. Those four questions separate delegation from abandonment. If the work comes back wrong, you can see whether the expectation was unclear or the execution failed.
One of the biggest challenges in digital advertising is reaching the people who actually make buying decisions. Founders, CTOs, engineering leaders, and product managers read TLDR every day to stay on top of the tools, platforms, and trends shaping their industry. Unlike social media, where attention is split across endless content, TLDR readers are intentionally engaged, giving your brand the opportunity to reach the people who influence technology purchases when they're actively
Nearly 400 independent bookstores opened in 2025, and print book sales are higher than a decade ago. Readers also spend more time with books daily than they did twenty years ago. Claims that reading is dying dismiss this growth as niche while treating declining attention spans as proof of collapse. Yet people still consume more words across digital formats. The shift is intentionality. Long-form reading is becoming a deliberate choice, raising the bar for creators to earn sustained attention.
As content becomes more saturated, brands are focusing less on producing more and more on building communities. Dentsu, NFL Mexico, and Warner Bros. Discovery argue that fandom and belonging create stronger connections than reach alone. Audiences want to participate, not just consume, making creators and fan communities valuable partners. The opportunity for brands is to build spaces where people can engage with shared interests beyond the content itself.
Removing a prominent homepage CTA increased conversions by 39% because it guided first-time visitors through the service before asking them to request a quote. The original CTA sent people straight to a form that asked technical questions many could not answer, so many left before converting. The updated journey introduced service details, trust signals, and expert credentials before visitors reached a quote CTA on the relevant service page. Match each CTA to the visitor's level of understanding so the next step feels simple and appropriate instead of asking for a commitment too early.
Most marketing over-focuses on acquiring new audiences while neglecting people who already know you. With declining external traffic, visitors now arrive with context, yet brands still treat them like strangers. The real opportunity is “step-two” marketing, guiding engaged users toward clear next action and deeper content. Growth comes from improving experience, not just reach. Small execution gaps like broken promises or poor follow-through quietly erode retention over time.
Attention today goes to the brands that are part of the conversation, not the ones interrupting them. In this webinar, Vanina Schick will walk through how to connect your brand into POVs with strong cultural energy and use AI to find where you can enter cultural conversations online. It will take place on July 23 at 9 AM PT.
AI made producing ads nearly free without creating any new attention to fill, so more ads now chase the same finite audience and simply raise the price of being seen. That moves the advantage to the audience layer, which a competitor cannot reverse-engineer the way it can copy creative or messaging. Resolving buyer identity before uploading lists opens the cheaper broad-reach channels that most B2B teams avoid, and running holdout experiments alongside attribution reveals which channels actually drive incremental conversions.
2026.07.20·
thegtmnewsletter.substack.com·12 min read·TLDR Marketing
Netflix spent years dismantling scheduled television, and now it's rebuilding pieces of the same bundle it once disrupted. Live sports, third-party channels, and short-form video are being layered in to turn the app into a daily habit rather than a destination for a single hit show. The tentpole approach, a handful of NFL and MLB games instead of full season packages, produced six of Netflix's 10 largest sign-up days over five years despite consuming just over 5% of content spending. If those additions do not feel cohesive, Netflix risks becoming the bloated bundle it once replaced.
AI-era CEOs are increasingly hiring chiefs of staff as strategic partners, not just assistants. The role has grown as leaders face greater complexity, with chiefs of staff helping execute initiatives and build workflows. While AI may automate some administrative tasks, skills like judgment, communication, and influence remain difficult to replace. The position is also becoming a leadership pipeline, with many chiefs of staff moving into executive roles.
Wispr Flow [5] works the same on your Mac, your PC, and your phone. Start an email on your laptop, finish a Slack reply on your phone. Same hotkey, same clean output, 4x faster than typing.
One of SpaceXAI's goals is to get Grok to catch up to Anthropic's Claude. The company recently released a new coding tool and beefed up its sales team, but it is still running behind its competitors in many measures. It has been in a state of chaos over the past few months, making it difficult for outsiders to see where Elon Musk imagines the company heading. Many insiders considered the company unprepared for the scrutiny that comes with being a company, and now that it is public, SpaceXAI has less room to maneuver.
Google has months behind schedule on delivering Gemini 3.5 Pro. The company has been taking its time trying to improve its capabilities, particularly in coding. The delay has frustrated Google engineers, AI researchers, and managers, many of whom are concerned that the company risks losing an edge. The model is currently being tested with partners, and Google is productively engaged with the US government on model testing and broader frameworks.
Researchers restored hand movement and a sense of touch to a man paralyzed from the chest down using technology that partly rewired his nervous system. The 'double neural bypass' system combines a brain-computer interface, AI, and electrical stimulation of the spinal cord and brain to produce long-lasting changes. Many of the improvements were still present more than two years after treatment. The researchers are now planning larger trials and are testing the system for other conditions, including stroke.
The FDA has approved a pill that can lower cholesterol levels far beyond what can be achieved with statins. Made by Merck, enlicitide works by inhibiting a protein known as PCSK9. Its list price is $315 for a 30-day supply, and it will be available in a few weeks. Similar injectable drugs have been shown to reduce the incidence of heart attacks, strokes, and cardiovascular deaths by 20% in high-risk people - Merck is now conducting studies to see if its pill has the same effect.
Bun was rewritten from Zig to Rust using Fable. A full rewrite would usually take too long, but the AI tool allowed it to be completed in 11 days. The project cost $165,000 with API pricing, consuming 5.9 billion uncached input tokens, 690 million output tokens, and 72 billion cached input token reads. The rewrite demonstrates how AI can now be cost-effective for codebase migrations when projects are well-engineered.
The world is short on people who can find the right problem, tell whether the machine solved it, and finish past where the machine stopped. Agents scale infinitely while humans don't. Anything gradable by someone else is getting automated. Seek taste and judgment on purpose, as they will stay durable and ungradable.
Chinese leader Xi Jinping endorsed the building of open-source AI models during a speech that implicitly criticized US moves to protect its lead in AI semiconductors and models. He cast China as a champion of openness and equality, saying that the country should oppose overstretching the concept of national security in the field of AI. The US and China have taken different approaches to building AI models, with Silicon Valley building largely proprietary models while China has released many open-source models. Chinese AI executives have expressed concern that they will struggle to close the gap with the US due to restrictions on access to the world's best chips and chip-making equipment.
Microsoft CEO Satya Nadella has criticized Anthropic's limits on requests to Fable. He says the tool is too editorially controlled, and that its refusal to complete concern tasks doesn't make sense. The criticism is aimed at a valued Microsoft partner and client. Microsoft said in November that it was making a $5 billion investment in Anthropic, and Anthropic has agreed to spend $30 billion on Microsoft's Azure cloud.
Our writers cover the companies 7M+ tech readers follow, and yours might already be in the mix. Run a free 12-month scan [23] to see your mention count and who saw it.
Block's role in the proposed Stripe/Advent/Block deal to buy PayPal hasn't received much attention in the press even though it is presumably a big part of the deal.