WonderWhat @WonderWhat_com

Wow

Social Capital @socialcapital

3 weeks ago

In the last week of September, DeepSeek models processed more tokens on OpenRouter than OpenAI, Google, Anthropic and xAI models combined.

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As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

This is what’s causing Anthropic to aggressively beg for govt protection (see below). Customers are finding cheaper alternatives. Keeping employees requires continuing ultra-rich secondaries ($$$) that are dependent on revenue growth. When you can’t win on the field go to DC.

Rohan Paul @rohanpaul_ai

4 months ago

UBS says 60% of companies now watching AI budgets are moving to cheaper models and open-source Chinese models The pressure is coming from extreme bills, including users spending up to $35K/month, teams exceeding quotas by 200%, and companies cutting internal AI tools from 5 to

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One of the best concise guides on building an audience I’ve seen

Mubbu @wizofecom

4 months ago

This reddit post just LEAKED a blueprint on becoming the best personal brand in your niche:

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This is what sets ok employees apart from incredible ones.

Alex Lieberman @businessbarista

4 months ago

I stole this idea and now use it with every single employee. It’s the best illustration I’ve seen of teaching someone to be high agency. It says there are 5 levels of work: Level 1: “There is a problem.” Level 2: “There is a problem, and I’ve found some causes.” Level 3:

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> be niantic > launch Pokemon go > 500M players scan real-world places while playing > scans turn into 30B geo-tagged images > niantic builds a 3D map of the world > robots and AR apps use it to navigate within centimeters without GPS this is actually insane.

NewsForce @Newsforce

8 months ago

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery

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LMAOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO

Exec Sum @exec_sum

9 months ago

BREAKING: France has gone all-in on science, investing €30 million in AI, health, and climate initiatives.

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i wish i could pause time, learn as much as possible about AI tools and agents, and then unpause. because this feels like the greatest shift since the internet. if you were around when electricity was invented, the smartest thing you could do was figure out how to use it. and now jeff bezos is calling AI electricity. and he’s probably right. a year ago, AI was a fun toy. now, i can open a browser, spin up an agent, and have it research, summarize, and execute tasks on its own. no code. no friction. just type what i want, and it happens. i can make a disney character of myself and create full-on pixar-style movies (leonardo ai, kling ai, eleven labs). i can run full automations with human-like intelligence. the whole thing blows my mind. fast forward a few years—what happens when entire businesses run on stacked AI agents? when every industry has its own hyper-trained models? when people stop hiring for skills and start hiring for taste because AI does everything else? if i were starting from scratch today, i’d be obsessing over three things: 1) how to make my company AI-native? 2) what new problems AI will create? 3) how do i create a distribution moat? happy building. someone is going to figure this out at scale. might as well be you.

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AI is promoted from back-office duties to investment decisions Asset managers are increasingly using generative artificial intelligence to guide financial choices ft.com/content/3d82ea…

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PwC’s 2024 AI Jobs Barometer goes beyond predictions about AI’s impact to find evidence by analysing over half a billion job ads. The Barometer reveals how AI is transforming the world of work, making people and businesses more productive while changing what it takes for workers to succeed. Link in the next post.