0x008

Does anyone have inside info on what these Huawai chips look like? I know Google has a Torus architecture unlike Nvidias fully connected one. Maybe it’s a similar architectural decision on the huawai chips that leads to bottlenecks in serving?

Agree. AI won’t „one-shot“ Figma. The whole part of the process where you need figma will disappear.

Something like https://a2a-protocol.org/ ?

MCP gives us a registry such that we can enforce MCP chain policies

Do you have some more info on it?

looking up "registry" in the mcp spec will just describe a centrally hosted, npm-like package registry[^1]

[^1]: The MCP Registry is the official centralized metadata repository for publicly accessible MCP servers, backed by major trusted contributors to the MCP ecosystem such as Anthropic, GitHub, PulseMCP, and Microsoft.

Why not use something like Temporal to recover state?

The problem is that you are looking at the code. /s

Of course they would be possible we could just turn the rest api into a cli.

This is such an usually low signal FUD post for HN. I know I am not adding anything of value here either, but I couldn’t help myself. Please post something with more substance here.

We all notice a shift in the general perception of the SaaS industry. People are afraid, massive change is coming. But that is obvious from all the posts in news outlets, on x, on Reddit etc.

Thus far it’s just a massive hype. The technology has the potential to switch up the business, for sure, but now apart from frontier labs for everyone else it’s just eating money. No company has lost clients due to being replaced by some autonomous agent.

Don’t get me wrong, the technology has the potential, and it will improve, and we will see massive changes. Money will flow to different entities (cloud providers? New players? Who knows). But technology still needs to be shaped into a useful product. Even for coding (undoubtedly the most mature use case for AI agents) the agents still have to demonstrate they actually safe time and money in the long run. So far it looks like they mostly create more work.

The skills can be specific to a repository but the agents are global, right?

I like the lazycommit+lazygit combo.

https://github.com/m7medVision/lazycommit

care to share?

You can write your stories in csv (or vibe code a tool to do that) and then batch import the CSV.

This move is mostly about expected EU subsidies

Probably it’s not about gaining a competitive advantage but more about bringing down the costs to run frontier models in the EU to a level where it’s a viable enough option to bring down the risk of relying on the US and china entirely.

Not even just for on-premise deployments, even for cloud settings. Google has demonstrated that you can profit very much from having your own specialized AI chips to bring down cloud costs. Maybe the EU with all the talks about giga AI factories is also planning to go in that direction instead of continuing to rely on overpriced NVIDIA chips.

Do you have any examples of such backdoors or research papers which explain how that would work?

All openAI models are available in the EU landing zones of Azure, run by Microsoft EU subsidiaries and in EU datacenters. Other than an irrational fear of them „phoning home“, there is no advantage here for Mistral.

This is one of many laws the EU and member states are pushing in order to implement more online surveillance. I always wonder why individuals (representatives) would push for these kind of surveillance laws? I think politicians usually pass laws which help themselves or their lobbies gain power and influence on economical levels, but I wonder why anyone would push for these kind of legislation even before an authoritarian state is on place. What is there to gain on an individual level?

Classic Medium style article.

Comparing apples and orange here. Uv scope is so much more than pip

wait till you try this one: https://github.com/simonw/llm-hacker-news

like other's have said it likely includes partial matches as well (e.g. 'antitrust' etc)

thanks for posting this video, that was really entertaining!

We all kind of know this is true, but it’s always really eyeopening to see to what extent these companies know everything about us.

Even worse is, I think, that somehow they are allowed to sell all the data and that you can basically buy data about everybody easily online[1]

[1] https://media.ccc.de/v/38c3-databroker-files-wie-uns-apps-un...

All of the major labs have one thing in common: they have nearly unlimited data and money, but what they don’t have unlimited is talent and ideas. It’s just a way of progressing without having to „hire every idea“.

Why does it require you to build a server to wrap APIs? I think if the api uses HTTP you could just expose a SSE endpoint for the mcp client to use?

so if it does not enforce a particular transport layer, it just defines a couple of methods on top of jsonrpc?

or is there more to it?

I think the idea with LLMs leading to AGI is more like:

Natural language is a fuzzy context aware state machine of some sorts that can theoretically represent any arbitrarily complex state in the outside world given enough high quality text.

And by reiterating and extrapolating the rules found in human communication an AI could by the sheer ability to simulate infinitely long discussions discover new things, given the ability to independently verify outcomes.

Natur is actually designed really well, it’s a just a shitty joke for our race and the ones who have to give way for nature to run its course.

I think what they mean is that the fundamental question is IF any intelligence can really break out of its confined area of expertise and control a substantial amount of the world just by excelling in highly verifiable domains. Because a lot of what humans need to do is decisions based on expertise and judgement that in systems follows no transparent rules.

I guess it’s the age old question if we really know what we are doing („experience“) or we just tumble through life and it works out because the overall system of humans interacting with each other is big enough. The current state of world politics makes be think it’s the latter.