@chamath Airbnb (like Uber) look like asset-light cash machines until hosts & drivers realize theyโre the ones eating depreciation, capex, and the grind.
HP and @Ferrari are bringing performance, precision and design heritage together in a new way.
Introduced ahead of the Monaco Grand Prix, the HP Limited Edition Scuderia Ferrari AI PC reflects nearly two years of collaboration between Ferrariโs Design Studio and HPโs industrial designers and engineers. The result is a device shaped by craftsmanship, technical precision and the shared pursuit of excellence.
Only 4,999 units will be available, a nod to Ferrariโs philosophy of selling one less than the market demands. More than a PC, this is a true collectorโs item built for those who value power, exclusivity and design without compromise.
https://t.co/6ASCEPs38A
@SAlexashenko Dilution concerns on the announcement, just like WallSt often winced at Amazonโs spending sprees. But this could be the foundation for Googleโs next multi-decade growth phase, much like AWS was for Amazon.
@jukan05 The massive hype train happening right now is just for regular consumer gadgets.
The heavy-duty, professional-grade versions, such as mini desktops and mobile workstations, won't actually drop until early 2027.
I Went From $3,000/Month on Claude to $5/Week on DeepSeek
And honestly? 80% of my work is identical.
For the past two months, I was burning $3-5K monthly on Claude Code. Every idea from design to development to testing - full end-to-end automation, even simulating users to test my products and provide feedback.
Extremely token-intensive. But Claude's caching sucked, making it insanely expensive.
Then I discovered DeepSeek V4.
The numbers:
โข Claude: $5 input, $25 output per million tokens
โข DeepSeek: $0.28 input, <$1 output (with their current discount)
โข DeepSeek cached: $0.0002 - literally less than a penny
The caching optimization is game-changing. Once DeepSeek has seen content, it basically stops charging tokens.
My result: $5/week vs $1,000/week for the same workload.
What works exactly the same:
โข UX modifications
โข Product development
โข Competitor research
โข Content writing
โข Code reviews
Where Claude still wins:
โข Complex architectural decisions
โข Extremely nuanced problems
But here's the thing - Claude has been getting dumber recently. It often says "done!" when it's clearly not done. Then apologizes but still doesn't finish the work.
My current stack:
โข DeepSeek V4 Flash/Pro for 80% of daily work
โข Codex 5.5 for the hardest problems (more reliable execution)
โข Claude Code occasionally (because I already paid for it ๐คทโโ๏ธ)
DeepSeek is also 3x faster than Claude. For tasks like "compare these repos" or "read this long document," DeepSeek finishes instantly while Claude takes 3+ minutes.
Fun fact: I heard DeepSeek's speed comes from both optimization and gradually switching to Chinese chips (Huawei). If that's true, we might see even better performance later this year.
Everyone's betting on Anthropic's rising valuation in secondary markets. But when 80% of daily dev work can be done faster, better, and cheaper by open-source models...
Is Anthropic guaranteed to be the final winner? I think it's too early to call.