ece

I've tried pawpaws and really liked them, if you had given me the flesh in bowl and told me it was custard I wouldn't have been able to say otherwise. It also seems to be quite nutritious[1] with fiber and vitamin c. Honestly, I could do with less passion fruits and more pawpaws at my local market.

https://www.healthline.com/nutrition/paw-paw-fruit

My only exposure to Sun was using EDA tools for chip design, and even those machines were replaced with Linux by the time I graduated. The stock price never recovered, unlike say AMD.

The only benchmark that matters anymore is minimizing felonybench. Ok, long horizon benchmarks still matter too.

Fairphone is on their 6th generation now, and in the US on Amazon. Easy repairability is as much an engineering feat as adding a button or light bar. Their support window is as long as anyone else. I'll even mention Essential who did day-one updates for monthly android patches, and that was a startup.

Longer support windows are possible and would mean people wouldn't be left behind without updates for problems like this.

Samsung and Xiaomi have bigger ecosystems than Google in some ways. If they want to fix their development and support for issues like this, they can.

This would be a bit convincing if there weren't other hardware and services providers like Fairphone, GrapheneOS and Google themselves, who do support and maintenance for longer.

You'd almost think supporting a phone for a longer amount of time might actually be better than trying to sell a new phone every year or two.

If bigger, better models aren't also leading to better safety, something is broken. Models seem to no longer argue with people, or output verbatim text, maybe the next step is cheating less.

I've learned to be wary of these cars in the bay area, they seem to cut it close often, and they get stuck because they're not L5. I hope municipalities know what they're getting.

So what's with the increased variance since 2021? Better tracking of pages maybe...

Those scrapers can be blocked. Some scrapers won't ignore the responses, and maybe it'll lead to a meaningful reduction in scraping traffic.

Every website that wants to, can just charge for dumps. Anubis or even Cloudflare can handle the rest I think.

This would be interesting on a Spark or two. I don't know how seamless the GPU and networking cluster setup would be when resource sharing between agent and post-training VMs.

What these people want is same thing people in every other field want too, which is being able to use AI as a tool and nothing more. Off course, some of the people that signed this might not recognize this, and the people who didn't sign it are actively working against such an equilibrium.

"It is difficult to get a man to understand something..."

Yeah, this does seem like a needless omission. Cardboard cases work sometimes. Plastic cases aren't too hard to find, but they do require modifications.

Controlling how to train, not over fitting, making sure training data is good, and being able to do distributed training are all reasons why open weight isn't like open source. You can't fork during pre-training with open weight-only models.

Pinecube from pine64.

https://pine64.org/devices/pinecube/

Start your own openrouter.

Just switched to AI Plus from Pro, seems like I won't be missing much.

72% revenue decline from a 54% price increase, but how did profitability change? Some of the features of the Deck are still differentiating like the OLED screen and touch pads, and maybe some of the price increase is meant to keep it profitable at a low volume.

I personally think a controller and a VR headset that isn't standalone would be fine products for Valve to sell. Maybe they can't justify working on Steam OS without the Deck, Steam Machine or Frame. If they can still sell low volume differentiated products, good for them.

I disagree with the first half quite a bit, COGS ultimately depends on the use case. If someone just wants something that a smaller model can do, running a local model on phone is going to have a negligible cost close to running any other piece of software. The alternatives to running a model also determines COGS, and even Jensen Huang has distinguished between the job and the work for the job that AI is capable of doing. Smaller models are always going to win in efficiency too.

I also heavily disagree with this no-marginal cost in software distribution view whenever I see it, bit rot is real, and someone is paying a marginal cost whenever they do an update. You have to re-distribute with changes whenever anything changes. These costs are just hidden because things are ad-supported or bundled in some way. These costs are also kept low because of standards and open source, but could become high anytime. Additional licensing also has costs.

That said, I couldn't agree more with the last paragraph, charging a high price for models would be better than denying access for any model that wants to stay relevant.

This is the new version, the old one is called sultan laxeby. Easily 1.5x the amount of time.

PDF for assembly is still up on the website: https://www.ikea.com/nl/nl/assembly_instructions/sultan-laxe...

Is there a bsky or mastodon extension for serving git repos and commits? Would be interesting to see this.

Machine learning layer cake with some brute force crumbs.

It's hard to sympathize with Anthropic for this or the export ban, the hype over model capabilities probably fuels both things (in some ways). Training data for me, but not for thee (at any scale) doesn't seem like a tenable position. If anything, Claude's constitutional outputs should be trained on more rather than less.

Out of all the possible permutations of display/sensors/processing for AR, I would like to see eyewear with just a Bluetooth-like display and camera/mic. Let me use the phone or watch for all processing. Bonus points for eye tracking and body position sensors. Make the camera tethered if you must and somehow integrate it with my clothes.

Off course, this would mean less lock-in for everybody and we can't have that.

If large models were primarily used for distillation to make smaller models better, that could be a more efficient use of resources. Smaller providers could choose to fund a larger model and benefit from it.

Compared to an ICE, maintenance of brushes is still quite an improvement.