DeepSeek is truly making a difference on many levels, but the one most refreshing is how they just deliver once again with no fanfare or drama. Not even a website. Just hand us over the goods for free the DeepSeek way.

Thats a feature, not a bug :)

HomeView will make it more feature-ful. I hope.

Not clear if it can run iOS apps at all?

Nope, just Apple apps, but they support streaming audio from compatible iPhone apps (probably anything that can integrate to normal system audio, so your podcast app). I imagine they might open this to 3rd party _widgets_ in the future.

We know what consciousness is, we don’t know how it arises.

Consciousness is being aware of something internal to one's self, or of states or objects in one's external environment.

We also know what pain is.

You just moved the magic to “being aware” — now the question is only what has awareness instead of what has consciousness.

How do I know you are conscious? I will beat you non-stop. You will make some noises. How do I know you are not simulating the response of a conscious being?

This isn't an "allegory of the cave" problem. You obviously know that you are conscious, and you can empathize with me as your fellow human. Therefore, we are both quite conscious.

You do not identify with AI. ELIZA isn't conscious, even though it could write text as well as a human. LLMs are not conscious, because they do not even remotely resemble any brain, conscious or otherwise, discovered by man. Any person familiar with the transformer architecture will affirm this to you.

I don't know octopuses are conscious. I don't identify and cannot even begin to identify with an octopus. Animals being considered conscious is also not always culturally true in recent European history. I know this only because textbooks taught me this. I cannot be thus also certain about ai/llm's without serious research into this being done.

Serious research has been done. We know what an LLM brain looks like. It's nothing like any octopus, fly, cat or crab brain. You can go download a fly connectome, feed it to your favorite LLM, and do a side-by-side comparison with your LLM weights of choice. It takes 5 minutes of curious exploration to recognize that LLMs aren't conscious.

If you want to hedge your bets on consciousness, go ahead. But I could give you a list of things that are widely considered conscious, and you'll note that none of them are transformer models.

Of course LLMs are not exact matches of biological brains. There is no reason consciousness specifically has to arise strictly out of the same substrate. My example with octopus was as a rather structurally different being that also happens to be conscious. My trouble is again, that we have made this mistake in the past, several times, so yes, I will hedge my bets on something that talks, thinks and behaves so much like us. Its a good term you used, that's exactly how I think of it, I don't know if they are but I stay on the cautious side.

> This would presume we knew what consciousness and pain is. We don't. We we are clueless.

> LLMs may help to offer a new perspective on consciousness

How do we gain a new perspective on something we do not understand?

This is the doublespeak by the AI psychotics that drives me crazy.

By not already assuming to know the answer and stating that falsehood loudly without proof.

Not apparent at first, but this is a TypeScript to c++ compiler at the core (https://github.com/geastack/compiler), with bindings for various platforms.

There is also the one from Microsoft themselves, although it supports only a subset.

https://www.microsoft.com/en-us/research/publication/static-...

Used in Make Code,

https://www.microsoft.com/en-us/research/project/microsoft-m...

The evolutionary way: Something that is very good at copying itself, will copy itself and gobble up resources, which are finite. Humans took the natural resources from animals and infinite scrolling took the mind-resources from kids. Now animals and our children are fewer and have difficulties to reproduce.

The bigger story is the compute efficiency - its been running at 300t/s the last days.

DeepSWE scores 75.4 - that's the best score so far. And it's crazy cheap! Google held the top a few hours today with Gemini 3.8 Flash, but now second to Spark 1.3. All this competition will drive prices down!

when are we going to stop pretending these benchmarks have any meaning?

anybody who's used these models knows that their real-world software engineering performance has no relation to the ranking on deepSWE.

+1. I've used the recent Gemini Flash models and I've used Opus 5, and the latter makes the former look like a box of broken crayons. Unless Flash 3.8 and/or this Muse Spark model are a much bigger deal than people seem to think, I will eat my hat if either one can come close to Opus 5 in actual real life "long-horizon software engineering" tasks.

(I'm not happy about the above being true, but it's the reality I seem to inhabit.)

And Fable 5.x makes Opus 5 look pretty dim, despite benchmarks suggesting they're comparable. The benchmarks really are just kinda meaningless.

A series of hot takes:

Benchmarks are useful but only on a log2 basis. One model performing at 50% and another at 75% is just as impressive as one model performing at 78% and another at 90%. Confoundingly, a benchmark becomes useless once a frontier model scores over ~95% on them.

I think that's definitely the right way to understand benchmark saturation, but there's a separate problem where the benchmarks are just not representative of real workflows even when they don't seem to be saturated.

I have been using glm 5.3 flash and it feels as good as opus 5. Put a lot of work into it this week (100m tokens). Now I'm curious to try this one. These smaller models are getting very good imo

Neither flash or regular glm 5.3 are close in my experience. I still prefer Sol though.

What type of setup do you use? I have very small 4-5k initial context and do one task then clear. I rarely go above 150k context for most things.

Yep these software benches are only good at testing how well they can one shot. For the kind of attended/assisted development most of us do with agents it’s hard to find a benchmark that reflects my own experience of the frontier models still being quite far ahead.

With the contributor pricing being more than 10x cheaper than the standard, that would make it best and cheapest on the DeepSWE leaderboard! It feels fast in my experience too. LLMs keep improving at an insane pace.

and they're ultimately tools strictly to replace you and your labor, they can't/won't cure cancer or make your life better. Your life will get worse and worse in every aspect until they extract maximum value from all of our lives with this technology through every avenue possible. Not sure why you guys are so excited about these developments.

This technology is strictly an extractive parasite on the world. Use it, but don't be excited.

My labor makes other people's lives better, so I would expect something that replaces my labor to do the same.

global development and relief of poverty has relied on there being an economic surplus for all from organized labor. everyone gets a benefit although it is unfairly distributed.

i think that there is growing organized labor today that produces no surplus. instead, it transfers wealth from some to others, causing net harm to all in the process. an example of this would be purdue pharma.

depending on who you ask the list of jobs and industries which have zero surplus is getting large. swathes of private equity and leveraged financial instruments, shitcoins, management consultancy, are pure deadweight loss.

the work does nothing or causes net harm.

You’d expect that, wouldn’t you? But, alas…

I'm using AI to build things I wouldn't (and/or couldn't) have built before.

That's the opposite of parasitic.

Talking as if you are not disposable. If you are let go from your company, you can be easily replaceable.

People already started using contributor API, and your input is irrelevant.

Don’t you have some looms to break?

I’m retired so it won’t be replacing my labor :)

Gemini 3.8 flash has better rates. $0.75 per million input tokens and $3.75 per million output tokens.

Compare that to Muse spark 1.3

$1.25/M input, $4.25/M output (without data sharing) $0.10/M input, $0.20/M output (with data sharing)

It is dirt cheap, but only if you are willing to share your data with meta and allow them to use it for improving their models and products.

But is the score really reflective of the quality or are both models benchmaxxing?

Both versions of DeepSWE (1.0 and 1.1) are likely not that meaningful anymore. Whether through models progression or through contamination.

Muse 1.2 wrote a terrible "smart summaries" extension for my pi setup. It was sending every single steamed chunk for summarization instead of waiting for the full CMD.

This is an error I would expect from sonnet 4, not a model that was supposedly just a few points behind sol.

how much of it is from reallocation of staff to ai training and labeling

A fifth of the cost of Opus 5! Google is certainly pushing the completion with this.

Gemini hasn't failed me for personal usage yet. I haven't had the opportunity to use it at work.

I've been using 3.7 Flash to audit the work of Opus High, and Flash finds lots of subtle and insidious defects even while all the unit tests are green.

Then I tell Opus to read the audit report and implement what it agrees with.

Flash is really good at this, and it is blazing fast in Antigravity CLI. Easily 10x faster than Opus.

Can't wait to try 3.8 Flash. If it's good enough, maybe I'll switch Flash to primary and make Opus the auditor.

Yeah the speed in agy cli is amazing. Whole files get written and "py_compile"d in a single blink of the eye its crazy.

In india, my telco gives me google ai pro for free. And agy with flash goes a long way.

it's very fast but it still doesnt come close to 5.6 sol, at least for me, in terms of gathering the context necessary to do extensive changes.

Idk, was building/maintaining simple esp32 control program with antig/opus. After last update it defaulted to gflash3.7. I pasted an email requesting 2 changes into the chat prompt, it did one and took me 4 turns to get that one right.