Kevan Williams

This release doesn t add content - it sharpens the chaos.

What s new in v1.1:

• Improved pixel font + larger text for better readability

• Visible mute toggle on home & header (DMCA-safe for streamers)

• New Progressive mode: starts at 20 buttons, adds 15 each round

• Clearer win screen with sarcastic stat microcopy + bigger NEXT ROUND

• Share your shame helper text for easier bragging/suffering

• Short descriptions for modes & difficulty (no instructions, just vibes)

• Explicit disclaimer: this game is intentionally chaotic and unfair

• Per-round variation (movement, timing, micro layouts) without new mechanics

• Faster feedback (75ms transitions) no animations blocking clicks

• Better dark-mode visibility for button numbers

If you played earlier and felt confused in the bad way, v1.1 should feel confusing in the right way.

LinkedIn officially shared the job titles that started appearing more often, and with the rise of AI, the market is restructuring.

The actual top 10 roles that have seen the biggest rise in listings (in the U.S.) are:

1. AI engineers Engineers developing and implementing AI models that perform complex tasks

2. AI consultants and strategists - Helping organisations plan and implement AI technologies to improve operations

3. New home sales specialists Which sounds like a rebranding or real estate agent

4. Data annotators Labelling and reviewing data for AI projects

5. AI/ML researchers Designing new AI models and systems

6. Healthcare reimbursement specialists Ensuring healthcare providers are getting correct and timely payments

7. Strategic advisors and independent consultants Which seems like a pretty broad-ranging segment

8. Advertising sales specialists You re reading a marketing blog, I assume you know this one

9. Founders Not sure this can be listed as a job title in itself, but LinkedIn s keen to highlight how people are shifting to their own businesses

10. Sales executives

Most AI apps eventually hit the same wall. They forget users unless you build a ton of infrastructure first. This means every AI dev eventually will end up building this infra to provide the best user experience needs for their agent and app.

What rolling your own really means:

• Vector DBs + embeddings + tuning

• Extracting memories from conversations (and resolving conflicts)

• Designing user profile schemas and keeping them in sync

• Managing long chat history + summarization pipelines

• Juggling different formats across OpenAI, Claude, etc.

• Hosting, scaling, backups, monitoring