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3684
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Showing 161–180 of 3684 matching discussions
Yeah, Katsas and Rao are top shelf partisan hacks. Why did Anthropic not sue in the 9th circuit?
Whether or not a distinct "plan mode" is needed, upfront planning remains essential in my experience, even with Fable (albeit not the 5.1 version). I agree that, as the models get better, you can skip planning on increasingly complicated tasks. But there is still a ceiling above which it is necessary to "preload" the context window before starting to call tools and get into the meat of the work. You want to establish domain language ( especially with Claude models which otherwise will invent their own, and it will be inscrutable) and key requirements and assumptions. You want to do a Q&A iteration cycle with the LLM. You definitely should do a sanity check that the LLM actually "understands" what you were trying to achieve, and then make sure that understanding is coherently and plainly s…
> Anthropic was designated long before the July OAI hacks. I think the point is that, if the DOD was working off a coherent philosophy, the company that has a rap sheet for hacking multiple targets, including the Australian government, is probably also a risk. And if "hacking the Australian government" isn't enough to qualify as a threat to national security, then it's probably mudslinging to suggest that Anthropic is a threat.
I can't even force myself to read Claude's multi-paragraph PR summaries, and instead just go read the code. They're barely coherent and incredibly verbose.
I used to feel this way, but now, I want more people to send me AI slop because I'm tired of human slop. I am tired of parsing through two word git commits where the author didn't care enough to tell Claude to write the commit message for them. Sure, I would prefer to read your personal thoughts on the change, but if the choice is between no meaningful information and an agent's mostly coherent if a bit verbose description, I'll take the AI. The same goes for AI generated code. I've seen some code that I'm pretty sure would have been better quality if my 90 year old grandma was steering Claude. The standard that I want to hold myself is derived from the open source world like SQLite. Sadly, some people just want to take the minimal path to ticket completion without regard for future maint…
The reasons against doing this is obvious. Is there any coherent description of why someone would think it is a good idea? And I don't mean, like, delusional reasons, but an actually rational argument for "here is where it might work out and we need to try and measure to find out".
I tried to answer all the questions and it placed me in the extreme doom category while I would place myself closer to the center because I do not hold any particuarly strong opinions and I struggled to answer coherently some questions (e.g. I don't "expect" anything of the future or AI, I don't think "good future" is something I can conceptualize, same for "harm" on the level of society, etc.)
I get the whole “we don’t have to read the code anymore” Schtick from most product devs, and DHH I guess is at his core a builder / product dev whatever. But the development of something like rails pushed forward the state of the art in ways that LLMs now replicate. The point being like - someone has to keep writing programming languages and frameworks and libraries. Like - someone has to be thinking what the code looks like for LLMs to have patterns to match against, right?
> Heck, it is even false for me as a software engineer. Amen Honestly, the gap from knowing which command line tool you probably need, to the command that does what you need... Prior to AI I have replicated probably a thousand command line capabilities in Ruby because I just couldn't be bothered.
The point of using git is to have a full software project (code, issues, ...) self-contained, without being trapped in or dependent on a SaaS, dead fast and working offline and integrating with all your tooling locally. All that with a single binary and git that virtually everyone use already. Now what you are talking about seems to be about the lifecycle of a bug. With this model you can replicate the same behavior as on major bugtrackers, or also track some metadata (fix in commit xxx) and compute where the bug is "deployed". But that's a UX/social problem, not a technical one imho.
I wouldn't be surprised if the NSA is GPU constrained and it just isn't worth it to replicate all that infrastructure.
Hits hard. I looked into them. Most of them use some CRDT-ish machinery to merge concurrent ticket changes. (Fixing merge conflicts in tickets would be too disappointing.) As a CRDT person, I noticed that implementing CRDT merges in git itself mostly makes that machinery unnecessary. Then you can keep your tickets in plain Markdown, having CRDT merges for both code and metadata. I have it working here btw https://replicated.live/blog/meta
I agree. I'll have soon-ish the webui accept OAuth/OIDC, so you can easily host and replicate a normal bug tracker experience... yet still benefit from the other workflows that a normal forge can't have. That's the key feature to make a distributed bug tracker actually work in practice.
Perhaps it's more of an acquired taste, but there are definitely modern games that intentionally try to replicate that old style of 3D graphics. There are even things like animations on YouTube that aim for it as a stylistic choice. I'm guessing young folk have more nostalgia for this type of thing
There isn’t that much to say. Start with an empty directory, put the XKCD image in it, add your ElevenLabs API key, and set up a Python virtual environment. Install ffmpeg. Then start Claude. From that point on, it’s mostly prompting and evaluating the results. Like any good engineer, you shouldn’t simply start with “Create a video from this comic.” Instead, take a step-by-step approach: discuss the visual style, animations, ask for audio examples, create a script, and then develop a storyboard (ask for a .html document). The important part is to break the whole generation process down into small, manageable steps. I also used the brainstorming skill from Superpowers for the discussions. It makes the whole process much easier when the AI asks the questions and I just have to answer them. …
I have an OSS framework for this: https://github.com/scosman/videowright - Voiceovers: aligns animations to the voiceover, can generate voiceover with elevenlabs, or will transcribe and timestamp a real voiceover - can reorder scenes both in code, and using ffmpeg for audio. - interactive controls during authoring, can ask for micro edits or re-builds - MP4 export/encoder - Generates the video with agent of your choice (obviously)
>None of the open weights or Chinese models are exhibiting this behaviour. Because they are not stupid (I mean the Chinese labs, not the models). The best possible scenario for OAI and Anthropic is a Chinese model "going rogue". That would serve as immediate grounds for achieving their goal.
> Anthropic PBC has signed an $11.6 billion, seven-year contract with Akamai Technologies Inc. for computing power, adding to the AI developer’s growing list of data center deals. > Akamai will supply Anthropic access to central processing units, or CPUs, a type of generalist chip that’s seen renewed demand in data centers where it’s helping support AI services. Akamai has also issued a warrant that gives Anthropic the right to buy Series B shares for $111.33 each that converts into 7.7 million shares of common stock.
I'm coming to align with the theory that this is intentional. The chain of thought runs roughly like this: - OpenAI (and Anthropic) are in severe financial straits. The revenue from their customers is not nearly large enough to pay their enormous costs for training and inference. And they have tapped out the available finance, and that finance is starting to ask pointy questions about returns. - They cannot increase prices or revenue because they have no moat. Customers can switch over to open-weights or cheap Chinese models any time, for much cheaper tokens that work as well (and in some cases better). - Regulation could provide them a moat. If they can persuade western governments that AI needs to be regulated, and they can control or even influence that regulation, then they can effect…
> This sounds more like a criticism of older versions of LangChain than its current APIs Oh no worries, I'm always happy when library / sdk makers are constantly changing their APIs in-between versions. Why would I not want to spend time updating my code to return to baseline functionality when I could have just built something using the 4-year stable underlying chat completions API instead...?
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