Maybe, but it's reality. Not too long ago the rule would be "if it doesn't show up in google, it doesn't exist". Today agents+LLMs are better browsers than Chrome/Safari/Firefox/... If a webpage does not show up in an LLM it may as well not exist.
The best way to read the information on the internet today is via a LLM.
Just like you don't process raw data in a data warehouse or datalake by looking at tables, you use a SQL or BI tool, to process all the information on the internet you need to tool to digest it for you. For many, today that tool is a LLM chat interface or agent.
Go value proposition for me, when developing with Claude code: 1) fast compilation times, faster iterations, 2) user friendly to install, one single binary per platform, 3) feels safer than JavaScript/typescript, which have too many npm vulnerabilities. Go comes with more functionality included, less need to use 3rd party libraries.
We’re way beyond that, LLMs are used for reasoning - plan, do, check, act. They will define a goal, decide how to get the info needed (run a script for example), and use these new insights to adjust the plan. This is way beyond just retrieving info from a knowledge base.
And where the info comes from (scraped, or classroom books) does not influence if something is intelligent, Humans are also trained on pre-existing knowledge.
Real intelligence is being able to use your stored knowledge to solve new problems, which both humans and agents+LLMs can do to different levels.
Exactly, and a dsl gives you many options and tools to make the llm more reliable: a grammar enables deterministic syntax checker, error messages injecting correct syntax into the context, linting, terse examples in the skills for token optimization, and even the option to add the grammar to the llm to help it decide what next tokens are acceptable.
I think the hard part is not the syntax itself but the shift in thinking: instead of procedural state manipulation expressing the desired end result in declarative set based relation algebra. I see developers struggling with breaking down complex queries in (inline) views / CTEs, thinking they need parameters, when things can be expressed as a queries on another query. Complaining about the lack of reusability, but not knowing about views.
What is an original image? A good photographer can also create a completely different impression. And it's hard to get rules applied, suing is often too expensive, for consumers, and governments need to reduce costs, so don't have the funding. It will not be enforceable enough that people wont try tampering with their picture.
If you make it a technical solution, e.g., browser plugin, it become an economic opportunity that can create money instead of cost money.
Instead of fighting the use of AI for home interior picture, it might be more useful to have an AI that can correct the fabricated images. If the listing includes room sizes, an AI should be able to give you more realistic images. Maybe a browser plugin that makes all content honest?
It’s expensive to build (many rules, not enough construction workers, expensive materials), expensive land, nitrogen policies, economic crisis 2008-2013 when there were no buyers for new houses caused a backlog of new houses.
I assume management thinks this will lead to better documentation practices and standardized processes so it becomes easier and cheaper to introduce new employees. In practice the opposite happens, employees get scared for their jobs, hire bad new employees so it's the new people that will get PIP-ed.
I think the Appstore was planned all along, just did not fit in the first release, so they adapted the launching narrative to: "the browser is enough for all 3rd party software".
Yes, you get to say what you want, but that doesn’t mean you get what you want. With millions of people all saying something different, nobody gets exactly what they want.
I think Amazon is doing ok as the cloud where most customers run their LLM. I think a lot of companies are using e.g., Anthropic models on Bedrock so it lives inside their AWS cloud.
It’s better, it’s useful even for those who don’t have a deep knowledge of computers. I’d expect more AI users than programmers, than ms-word users, than excel users.
Probably over a year ago, when I first saw reasoning in action in a debugging session: it generated some code, ran it, could not explain the results, then said “let me add some print statements to debug”, reran the application, read the logs, and then stated “now I understand why it’s not working”. Plan, do, check, act in action, AI engineering its own context, and generating the missing information.
Some suggestions for naming this, depending on how you organize ownership, redistribution, who gets to decide what you need: paternalism, welfare capitalism, neo-feudalism, technofeudalism, welfare state, social democracy, UBI-and-oligarchy, oligarchy, plutocracy.
We are already in a position where we could house and feed everyone, but we choose not to do so. Instead a few own almost everything, money gets spend on killing people, instead of feeding them.
If we choose not to do it now, i don't see how we can make UBI work in the future.