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Looks like it's 95% AI-based announcements and a few simple Android changes. They really are betting the whole company on one idea for their products.
by riscy 2y ago
Looks like it's 95% AI-based announcements and a few simple Android changes. They really are betting the whole company on one idea for their products.
- xnx 2y agoBetting on AI today is like betting on the Internet in 2000 or mobile in 2007.
- redserk 2y agoOr it could go the way of people's dreams for mainstream consumer crypto in 2016. Every business desperate for a boost in cash (and a pool of desperate LinkedIn posters) are pretending that they just invented machine learning in the last 18 months. "AI" has become synonymous with either "snake oil" or "desperate marketing".
- notjulianjaynes 2y agoI mean, if you had purchased one Bitcoin in 2016 and held it until today you'd be be up at least $65,000. If that's snake oil then oil me up.
- redserk 2y agoThe current valuation of Bitcoin has nothing to do with whether business models attempting an inclusion or pivot to crypto was successful because most businesses completely dropped their attempts.
- akomtu 2y agoUnlike bitcoin, AI is something that the gov desperately wants and will assist AI corps every way possible.
- rchaud 2y agoThat might help pump the stocks of these companies, but government picking winners isn't necessarily a good thing for consumers. The government has sunk billions into EV incentives for instance, but consumers are currently struggling with inflation for essentials like food and shelter. A slightly cheaper EV isn't really a priority for many, which explains why EV inventories are piling up.
- sandspar 2y agoWas America's #1 geopolitical rival developing an adversarial crypto system in 2016?
- npunt 2y agoAI v crypto comparisons are so easy to debunk. Simple test: Can a regular consumer derive value in less than 20 keystrokes that they already know how to type (eg English)? How about 50? 100? LLMs: yes Crypto: no
- redserk 2y agoImmediate, short-term perception of value doesn’t matter for long-term strategy. I suppose we’ll see in 2-3 years how many businesses maintain their newly found focus on “AI”. I’m betting that the organizations that aren’t employing internal teams training their own models will drop off quickly. A lot of companies are just throwing together an interface to OpenAI and praying for the best. Long-term this won’t work. Users will eventually demand 100.0% data accuracy. Eventually the novelty will wear off.
- deleted 2y ago[deleted]