for people who love products but hate bad UX. breaking down onboarding, design decisions, and AI features that miss the mark. chill we got this
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developers are excited Fable 5 is back.
they're also worried the new safeguards could make it worse at coding. that's the tradeoff we're entering.
more capable models may also become more restricted.
would you rather have:
A) maximum capability
B) more guardrails
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Apple just raised prices across much of its product lineup.
the explanation points to higher component costs, including memory.
the bigger question is pricing power.
very few companies can raise prices this broadly and expect demand to hold up.
that's the real advantage Apple has built.
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the most interesting AI race is happing in laboratories.
NVIDIA just launched BioNeMo Agent Toolkit so AI agents can help with biology, chemistry, and drug discovery workflows.
the companies that discover new medicines faster could end up being some of the biggest AI winners
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more features ≠ a better product.
a cluttered app with 50 buttons isn’t powerful.
it’s exhausting.
the products people love have something in common:
they remove decisions.
great UX is often what you don’t build.
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that's the part that should freak people out more than the AI itself.
An overwhelming chunk of Quadeca’s catalog was scraped for training sets for Suno and other Gen-AI models, presumably against his will
295 grabs across 8 known data sets from various releases, snippets, and YT videos, and corresponding lyrics from Genius
(via The Atlantic)
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Anthropic’s new Artifacts feature in Claude Code gets this right:
Instead of:
→ copy paste responses
→ screenshots
→ “trust me bro” explanations
You get:
→ live HTML outputs
→ shareable links
→ real-time previews of work
That’s not a model upgrade.
That’s a UX upgrade.
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VC is quietly rotating out of AI apps and into the stuff underneath. Chips. Inference engines. Data pipelines. Deployment tooling.
it's not as flashy as a new chatbot, but that's the point. the next unicorns won't go viral — they'll just become the plumbing everyone depends on.
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Anthropic is eyeing a $900 billion valuation ahead of its IPO.
a company that didn't exist 4 years ago.
this is what happens when you're racing at the frontier of AI.
the numbers stop making sense — until suddenly they do.
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Google said 75% of new code written internally is now generated by AI.
that's not a fun stat.
that's just a preview of what your job description looks like in 3 years.
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mel produces retweeted
The world doesn’t realize this yet but AI will finally make philosophy a highly marketable skill
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mel produces retweeted
"AI is increasing the intensity of work rather than reducing it," per WSJ
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the Pentagon tried to ban Claude from government networks.
a federal judge basically said no.
we're now in a world where courts are deciding which AI tools governments can and can't use.
wild days.
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I've seen Perplexity Computer automating marketing, outbound, content generation, finance, and analytics.
Each tab is a different digital worker. It's insane how fast this is coming.
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Cursor can ship code fast, no doubt.
but full autopilot usually means more tech debt down the line.
Manual & Copilot is still the safer combo.
truth: AI accelerates builds, devs make them solid
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Google, Amazon, Meta, and Microsoft are spending a combined $650 billion on data centers this year
that's a 60% increase from last year
and nearly 3,000 new ones are under construction in the US alone
the AI arms race doesn't look like a software war anymore.
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mel produces retweeted
🚨 Google Maps just got its 'biggest update in over a decade.'
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