Interfaces will definitely evolve. Visual graphs and representations are useful but speaking to an agent will become mainstream as its faster than typing. Also the ability for agents to code on the fly will open up different interfaces. For instance you could say "show me the impact that our marketing campaign x over this time period" and out comes graphs that were coded. Drawing might even make a comeback for instance when designing a website you just cross out things you don't want, draw boxes of where you want things, talk at the same time saying what you want in that box. Then some people are using virtual relativity. Not everything will become a chatbot but its definitely going to evolve with chatting being an integral part of the user interface.
You're describing some Hollywood version of SF, not the real world. Speaking is not faster than pressing a key or turning a knob (like try to operate a CAD or a DAW without keyboard and mouse). And for most report/infographic, you mostly need to design a few dashboard and almost never change them, because those are your core metrics that you need to monitor. And the ability to sketch even a simple wireframe relies on a lot of knowledge that most people don't want to burden themselves with.
In the real world a verbal description to start off a design from a template is _very much_ a competitive advantage.
I dabble in music production and having a DAW to help me guide some parts of the process would be extremely useful to get me out of certain creative ruts.
Will check out. I made a custom made dirty solution working for the coding agent we use. Speaking is much faster than typing but it takes mental effort to lay out your thoughts before speaking unlike typing.
A browser extension & windows app that automatically redacts the text you paste to prevent your private data from leaking to the third parties. Its an AI model that runs 100% locally on your own device so that your clipboard contents do not leave your device.
http://redactor.negativestarinnovators.com
Maybe not. You stated "Every country will pursue it as far as it can, and given the multipolar world we are back in, and our recent record with treaties and commitments, I do not believe there will be global alignment on risk reduction" and that is true. While Anthropic may hold of releasing Mythos I don't think they will for long. As long as there is someone somewhere in the world that releases a competing model then Anthropic will be forced to release Mythos. This also assumes that its not a marketing tactic from Anthropic in the first place, build suspense before releasing it.
I would like to see more countries capable of producing frontier models. At the moment we have two in the world but many countries are building their own national models and AI infrastructure and may join the race.
Having a multipolar world may actually result in more freedom in gaining access to frontier models.
Perhaps in the past. I think the approach now will be to vibe code multiple projects very quickly and see which one has traction even with a low quality product. You will get much better feedback than a discussion with a potential customer who may not even know what they want or have a false idea of what they want. You can always improve a product that has demand and abandon the ones that no one even downloads. Usage and payment are the real test if a product is worth doubling down on.
This might work to some degree if you can run your project by many eyeballs, but only if they aren't immediately made gun shy by interacting with a low quality product. A focus group environment would be good for this, but setting that up costs money.
The current iteration of models don't write clean code by itself but future ones will. The problem in my view is extremely similar to agentic/vibe coding. Instead of optimizing for results you can optimize for clean code. The demand is there, clean code will lead to less bugs, faster running code and less tokens used (thus less cost) when understanding the code from a fresh session. It makes sense that the first generation of vibe coding focused on the results first and not clean code. Am I missing something?
AI for editing is good and have many useful cases. The part where it fails is that the tone/style of the writing gets overtaken and reads like all other AI edited writing. But the quality of the edit is good, its just not in your style. When everyone sounds the same then there is no uniqueness. But using it edit legal letters, software documentation etc are very good use cases, using it to explain your ideas in a blog not so much.
I never considered that. When I change LLM models its usually due to two reasons.
1. the current AI model is producing answers that do not met my needs so I try multiple others at the same time and the one that produces the best answer I stick with until I have this problem again.
2. there is a new model released and advertises a new capability that I want to try out.
I can imagine that for many people the answer that ChatGPT generates is adequate enough that they never need to try another model even if better answers exists from another model. For people with less complex needs this is a very real stickiness. Why make the effort to try something new if the answer is adequate.
In this case, OpenAI would only f*k up if they change the pricing significantly, add intrusive ads or their answers become significantly worse.
one thing annoying with premade solutions is that it only does 90% of what you want, its livable but still doesn't quite meet your needs.
Its not just adding features that Linear already provides but adding features and integrations that mets 100% your needs.
The full decision making equation is (cost of implementing it yourself + cost of maintenance + 10% additional benefit for a solution that fully meets your needs) versus (cost of preexisting solution that meets 90% of your needs). Cost of implementing it and cost of maintenance has just gone down. Surely that will mean on a whole more people as a whole will choose to make inhouse rather than outsource.
Thus demand for premade solutions will go down, Saas providers won't be able to increase their prices as this will make even more people choose to implement it themselves. The cost of producing software will continue to drop due to agentic coding and maintenance cost will drop as well due to maintenance coding agents. More people will choose their own custom solutions and so on. Its very possible we are in the beginning of the end for Saas companies.
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