jononor

Ouch, that is indeed a risk one must be wary of. Can be a "works for the company but sucks for employees". Which can also drain the company of skilled people, a poor trade in most cases.

Bus factor 1 is rarely enough for "entire business". But if the GPUs are for training models, and their users are the data scientists that are also on holiday around the same times - that might indeed be good enough policy.

The video is pretty hilarious. And the problem a serious one. So I am glad to see that the Norwegian consumer council is taking a stance on it, and not afraid to use humor as a tool.

A stable/predictable base of maybe 50k USD/year is probably more in the range where it could influence someone to be FOSS maintainer full-time.

Altman was just this week quoted as saying things in that direction...

This is basically what happens with the advertising/social media giants (Facebook, Google, etc) because everyone needs msrketing, and mobile companies (Apple, Google) because they handle payments.

It is a lot compared to what? I believe that a LLM capable laptop will cost considerably more than something that is good-enough for non-LLM productivity tasks. At least within the next 5 years. Say that it would cost 600 USD more, that would buy 30 months of subscription. It is this kind of scenario I think many people will favor the subscription.

That something is useful does not necessarily mean that it will be doable for companies the capture enough of value to make up for the billions in investments they have/will have make in the coming years.

Right now the frontier AI companies are explicitly running a kind of chicken race - increasing the burn rates so much that it gets harder and harder. With the hopes that they (and not their competitor) will be the one left standing. Especially OpenAI and Antropic, but non-AI companies like Oracle have also joined. If they keep it going, the likely outcome is that one of them folds - and the other(s) reap the rewards.

Utility (per cost) will go up the tougher the competition. Money captured by single entity possibly down with increased competition.

They are likely aiming to maximize reach/mindshare. Get as many people hooked as possible. More important than minor upside from a few multi-Max users.

EDIT: also, the casual or gym-style members that pay every month but barely use the service are of course very valuable wrt margins

In a hypothetical future with 2026 level LLMs on a (high end) consumer laptop, I still think that majority of buyers would prefer to pay 20 USD/month for a service. Just for the convenience and flexibility.

You can submit analog to TinyTapeout now!

They were caught using all the data on the internet without asking for permission or compensating anyone. And it has cost them nothing and earned them billions so far.

Releases of a Heroku app is tracked by the platform, and both shown the the UI, in the CLI and available in the API.

The best commercial case for Open Source is as part of a commoditize-your-complements strategy, in my opinion. Give away the open source part in order to increase demand for your proprietary offerings. Use the open source project to build brand recognition, trust, active community, etc. But earn the money on something complimentary.

Examples: - Agency / software house, sells consulting, makes open source libraries in their niche. - Hardware/product vendor, sells devices, open software on the device. - SaaS vendor for IoT, sells say managed database service, gives away reference software/hardware designs for IoT devices.

This concept is easy in principle, but requires there to be two things which have very strong synergy, and one needs to execute well in both.

There is a decent chance there will be no clear consensus... Maybe people going custom LoRas etc should publish for the 3x most common models. Or maybe the tooling will make it so that switching models in a workflow will be painfree, as has kind of happened with LLMs.

They might be undervolting and underclocking the GPUs to improve longevity?

You would have to buy said USB device and get it to your location. Switching WiFi is only easy if you mean on a single machine/gateway. Swapping the WiFi network equipment in an office is considerably more involved, depending on the desired configuration.

MicroPython is primarily for embedddd devices with on the order of 1 MB of RAM and FLASH. And applications which makes sense with such constraints. If you have hundreds of MB of RAM, better to just use CPython.

They also are rather expensive to maintain, because the leading ledge gets many repeated stresses. And in nordic climates like Sweden there is a snow plow in the winter to remove snow - those occasionally snag on the speed bump - which tends to chip of big chunk, triggering rapid wear.

This is likely. His concern is first and foremost the company. Geopolitics is primarily a potential tool in that capacity.

Companies tend to lie towards their employees in similar ways as to the public. Very often most if the organization ends up believing the lies. The few people that do not tend to keep shut or go elsewhere.

Thanks a lot for your transparency Jeff! Much needed in this area. And your content is quality, much unlike what else being discussed here.

It is really hard to actually make anything substantial on social media exposure. Unfortunately this does not stop many from exaggerating claims in order to (maybe become) be internet famous, or seeing high number of clicks etc. So it is both bad business for creators, and poisoning the discourse for readers - the only real winners are the social media companies and the product companies that get hyped up.

What exactly does it say, in your opinion? I can imagine 4-5 different takes on that post.

Why not merged to main? What is the definition of done being applied here?

The VAT part does work like that, taxable where the goods are being sold.

At the very least one must connect to people who would find it valuable (either inbound or outbound), and the value has to be communicated to the prospective buyers. People make their decisions based on how they perceive the product, not based on your view. And the value big enough to overcome friction involved in purchasing, including soft factors like people trusting you with their money. There might be habits and other pieces of inertia that has to be overcome also, and why would they pick your thing over the alternatives. And of course you must be able to charge enough to cover the costs of providing said value.

Businesses are interested in something that can work for them. And the way the LLM based agentic systems are going, it might actually deliver on "Automated Knowledge Workers". Probably not with full autonomy, but in teams lead by a human. The human needs to tend the AKW, much like we do with washing machines and industrial automation machines.

Agree that M.2 is fiddly. PCIE cards with M.2 sockets are nice nice for desktops and servers, then one can just unplug it to do operations.

Starting an external CI company for GitHub is becoming more interesting now. Gitlab offers ability to do CI for external repositories. Travis CI was what everyone used before Github Actions. Time for a new Travis?

At the SMB scale accountants are mostly paid to coach/pester/goade the employees to hand in the necessary paperwork in time. The accountants job is relatively quick from there on.