pokot0
I think the question is not “will AI able to do the work people used to do one year ago?”
but more
“will people, in the new environment where AI does the work that they used to do one year ago, still provide a competitive advantage?”
My gut feeling is: yes!
We are running a small trial group right now to optimize the experience and see how people and real non-tech families react to this.
We are a tiny startup and our business is not data nor customer addiction. We will simply be charging our customers and put them at the center of our focus. We are honestly trying to understand what can genuinely be helpful to families and make all the innovations that we are seeing available to them.
This is not targeted to the HN crowd; yes, you can hack your assistant with a bunch of Claude/Codex automations and be happy! 100% possible and also fun to do. This is for everyone else that has no time/skills/intention to sit in front of a laptop for this.
I saw the post yesterday but decided to not write right away and wait for the post to slow down as we are supposed to be in a closed trial since each user costs us money right out of our pockets and there is no monetization yet.
But if someone is genuinely interested and wants to give it a try and keep in touch, here is the link:
https://empla.io/ai-employees/family-assistant
We are actively rolling out features and optimizing the experience all the time, so pardon the rough edges!
Tax them -> spend in education.... not that I think it will happen though! :)
I feel like EU could start a company, start from available open weight models, feed 2bln a year into it (1% of the EU budget) and make a compelling almost SOTA model for the EU market. This company could partner with datacenter providers and sell it hosted in the EU or somewhere else with EU protection terms. The budget for this company would easily double with the added revenues and you are creating an ecosystem of providers that can compete with US big-techs and have a 500 million people market that can't wait to ditch US companies for them, given the current mood.
The model can be open weight and it's an easy way to compound the efforts we are seeing in China without even having to talk to each other. Maybe there is a way to make it work not open weights but I am not sure how would that work.
These are those kind of decisions that seem such no brainers to me, which probably means I am completely out of touch with reality.
this kills the entire internet vibe of the 90s, early 2k
When I started my latest project my first rule was: I never have to login to AWS console. I didn’t achieve ‘never’ but I am pretty close and the experience is a lot better
anyway the point here is that I don’t really care if Safari is behind in support. The article was about blaming Safari for being behind.
I like to use Apple products for things that are commodities to me because I am not gonna look into the details of those and when I do Apple reasoning often make sense to me (just like this list).
There is a lot more we can criticize about these big tech corps (including Apple) than a product decision for a company that is known for making polarizing decisions on behalf of their customers. If people buy it... they must like it, no?
https://bright.ai/autonomous-inspection/
definitely where we want to be as a society! Keep up!
When I drive I have the option to choose to be safe or not. When a computer drives I lose that option. So for 49% of the people, safer than the average human is less safe than before.
I think we need to reach "Safer than the safest 10% of humans".
Also these reports should be done by a government agency.
But this is probably unrealistic now, hence the experiment. I think people will be less skeptical the more they interact with these kind of entities and slowly develop trust.
That's why we developed agents with an identity and primarily around email in order to 'plug' them into company processes slowly and naturally. That's the core idea of the main project this experiment spawn off of.
I’m running a public experiment in multi-agent coordination: can a small team of independent AI employees collaborate toward a shared objective using the same tools regular companies already use?
In this experiment, each AI employee has a specific identity (role, personality, scope, and permissions) and their own email address and access to corporate tools. They coordinate primarily over email and a shared Google Sheet, plus they connect to the paper brokerage account (I use Alpaca Markets).
Platypi Capital is the “sandbox”: the team runs a paper trading portfolio. The employees research, debate, propose trades and strategies, do risk checks, and execute trades (paper money) as a coordinated workflow, then publish positions/orders/performance. This is completely transparent and realtime on the website.
This is not a real fund. This is an experiment on how AIs coordinate together. Trades are executed with paper money on a simulated brokerage account, and nothing here is financial advice. This is part of a broader effort I’m working on to build an “AI employees” product.
I would love to get the HN crowd feedback! :)
Link: https://platypi.empla.io
Thanks!
It's interesting how different dishwashers are in US and Europe. Two main things for me:
- Salt: European dishwashers have embedded water softeners and you add salt once in a while. Only super high end ones have it in US.
- Water heater: European dishwasher expect to receive cold water and they heat it internally; US ones expect hot water and only partially boost the temperature (sometimes). That's why you have to run hot water before starting the dishwasher
Always wondered how we ended up like this...
This is just a question. I have no expertise at all with this.
Also consider they are all overfitting on the benchmark itself so there might be that as well (which can go in either directions)
I consider the top models practically identical for coding applications (just personal experience with heavy use of both GPT5.2 and Opus 4.5).
Excited to see how this model compares in real applications. It's 1/5th of the price of top models!!
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I never wanted privacy anyway: I wanted no discrimination, inclusion, healthy democracy, etc, etc.
Privacy has always been a tool for me.
At this point, selective privacy like we are experiencing today (we cannot know what’s in the epstein files, but google can send a drone and look into my backyard) serves none of the things I am interested in!
From your description seems like: Waymo -> Good Automation, Call Center -> Bad Automation.
The day we will have a chatgpt level automated customer care experience, we will complain every time humans answer our requests, with their accents and attitudes!