Using AI for a small slide edit sparked a realization: we consume compute just because it’s there. Does offloading micro-tasks free us up for bigger thinking, or are we getting lazy? By outsourcing the small "reps," we might be eroding the very authoring skills that keep us sharp
The 80/20 rule is dead.
With #AI assistants, 95% of the work takes days. The last 5% takes months.
#Kahneman's Thinking, Fast and Slow nails it. AI is System 1 on steroids: instant, fluent. The last 5% is System 2 work: deciding what to build.
Think slow before prompting fast!
Some years ago, my day was email and meetings.
Then messengers showed up. My time split three ways and somehow meetings multiplied too.
Today most of my working hours are spent with #AI assistants. And the meetings have thinned out.
AI changes life-long habits.
Are you next?
While @DarioAmodei warns of massive white-collar layoffs, we see the flip side: the best moment in decades to start your own business.
Building something in Europe? @Deeprunner90023 was built for you.
https://t.co/dj1NHhJLvs
At #DeepRunner, we're 20 people. Some days it feels like 200. Near-zero coordination tax.
A 2,000-person company can't do that. Not a will problem. A wiring problem.
And for SMBs the math is about to tilt their way as we move from two-pizza teams to two-pizza companies.
The AI adoption curve is real. The productivity gains are proven. But for 26 million European SMBs the on-ramp doesn't exist yet.
Anthropic solved AI for the enterprise. OpenAI solved AI for the consumer.
At @Deeprunner90023, we're solving AI for SMBs. Starting with Europe.
The NPV of time
Today is the best day of the remaining of your life
Today is more alive than any future time
Today is healthier than any future time
Today is stronger that any future time
Today is going by slower than any future time
Food For Thought (FFT): About 70% of global financial transactions are dollar denominated. If we were to #tokenize $500T of total global wealth ($100T in GDP, $36T in payments, $5T real-time payments), it is likely that there will be tokens with market value in the $10-100T range
Food For Thought (FFT): It takes approximately 300,000 KWhs to mine one #Bitcoin and about the same to train a foundational Large Language Model (#LLM) like #gpt3. That's the equivalent energy needed for 1,000 households (average worldwide consumption) for a month.
In the same way that #NNs were not computationally efficient until silicon accelerators entered the picture about a decade ago, #GPTs are now making it possible to use #NLP to improve productivity potentially by orders of magnitude!
#oracle#pythia I predict that over the next 12 months the number of companies in the #generative#AI space will increase from about 1K today to more than 100K
Never before the future has looked more closer to the present thanks in large to the disruptive innovation from #generative AI. If you are looking for some hyper #acceleration for your Large Language Models #llm check out: https://t.co/MC6upO4doF
Teams are like soap bubbles: their creation seems like a miracle, they change shape and size all the time, most often they dissolve but a few times they acquire escape velocity.
The dream fleet of vehicles is a tech-focused one 🚙🚘 🚗 AWS IoT FleetWise can access the unique data format of any vehicle and then structure and standardize the data so automakers don’t have to build custom data collection systems. https://t.co/zIryVxMwSo