They're sugar coating it. They've been nerfing AI research and development for years now. Their claim that it's only "certain ML accelerators" is a bold-faced lie, coming from the company that lies incessantly.
Labor is in bed with big business, the gambling lobby and the resources sector. Ain't nothing 'left' about any of that.
The only people who think Labor are far left are those who have swallowed the ON/Wannabe-MAGA propaganda, as they try desperately to portray the mainstream as radical. The problem is that Albo's a boring, grey, middle-of-the-road, managerial type of PM so it's laughable to anyone with half a brain.
Don't get me wrong, there are a ton of problems with how Labor are going about governing, this is not an endorsement of them. But the idea they're far anything is such utter brainrot.
Some doubt, actually. From the Guardian's reporting:
> Under the plan – dubbed “my feed, my way” – users opting out of the algorithm will see content only from individuals and groups they have actively chosen to follow.
> Users would be asked what they want their default feed to be through a pop-up message provided on their platform of choice.
So I should look forward to the day I see my Reddit feed free of r/Fauxmoi propaganda? Or does Reddit get a free pass like it has with age verification? Because we're still able to browse Reddit without an account, for starters. They had a popup that it required an account to browse for about a week, then they reverted back to allowing everyone to browse without one because they lost too many viewers.
But this also highlights a greater problem: If you're allowing people to browse social media platforms without accounts, what algorithm applies in that case? Is that the government curated feed? Or is that the rage-bait feed designed to spur engagement and sign-ups?
I don't care enough about this issue to form any opinions on the impacts to free speech or anything like that, but being able to choose to a social media feed that's entirely from the users I follow would be fantastic. What a dramatic quality-of-life improvement.
There are already open-weight versions of Jev that are equal or better performance, and can run on regular hardware. It took people 24 hours to create them. OAI could create Jev in a day if they wanted to.
I think a great use case for these will be when they have large context windows and are able to enforce styling rules for frontend development, and component creation rules for react. You can then ditch the styles guides and styling skills and create a decision tree for enforcing styling, so that you can't run into drift issues or duplication issues. That's where I'm wasting most of my time right now, constantly correcting all of the UX/UI issues that are created for every single feature.
Back in the good old days we would prevent these ux/ui issues by rigorously enforcing the use of our own stylesheets and classes. Later that grew to only using the company ux components. This was very successful in keeping everything neat and tidy. The only drawback was creating and curating new elements and getting consensus. But otherwise it works wonders.
Try constructing reusable components out of what you are doing instead of building everything up from basic building blocks. This also allows more concrete testing of individual parts and then if you want to change the look you can change it in one place and have it apply everywhere.
Agentic development doesn’t mean “throw all what we learned out of the window”, the same practices that helped speed up and improve quality of work of humans also helps agents. In fact, the multiplier is even bigger. You will notice it in development speed and reduced cost due to avoiding churn.
I use reusable components but the issue is that the model rarely checks to see if a component already exists. Or it will use the wrong one. Or if the component strays from the reusable component it doesn't extend it in a generalized way and will special case inline styles, or it'll create a new component. Rarely does it intelligently figure out the correct course of action.
I've also built up a suite of linter rules to catch the same mistakes the model makes over and over. Still, there are a lot of gaps. I think it's mostly because my codebase is massive at this point. It was easy when the codebase was small and didn't require context gathering to make good decisions.
If you have reusable components it should be quite easy for you to add it yourself. Its okay to code by hand, especially when doing frontend.
When comes to frontend work, the handmade UX designed by a professional will always outperform whats made by an llm.
Sure its 10x slower, but you'll get 20x more usere because it will obvious it was made with care (if done well, and you should learn to do it well). Its the same reason handmade clothing, watches and other luxery items speak to us more, sometimes its marketing but often times its the craft.
There's a reason why all the companies selling the idea that web dev is dead, like lovable, still hire designers with 50k retainers to do their landing pages.
I think this is a good example of "AI tools are not as good as users think they are". If you're having problems with AI tools not checking to see if a component already exists, then they're not ready for prime-time on your codebase. The solution isn't to stop caring whether or not you're using reusable components, the solution is just to acknowledge (regretfully!) that AI coding is not good enough to meet an appropriate quality standard without more supervision than you've been able to use it with in the past.
Start by adding more descriptions to the help and documentation docs of the components. Create an index. Forbid the llm to use any other component than on that list. Let another llm review the work. Forbid it to make custom html.
Then every time it tries to do so ask it why it didn’t use one of the ones from the list. Update the list with more ifthenusethis texts. Also negatives, if such then use y instead.
Hi, I'm currently planning on launching a product like this "Grammarly for Design" in a few weeks. Would you be interested in being part of the alpha group ?
I probably wouldn't be able to for data privacy reasons unfortunately, unless it's using an open-weight model (if it is, let me know). But I wish you the best of luck!
I have read an interview with Acer's CEO claiming that the shortage is already over.
He alleged memory maker's public announcements of the shortage lasting throughout the end of 2027 are attempts to covertly signal the others on pricing strategy.
With additional production capacity ramping up this year and next, this seems somewhat plausible.
If manufacturer's inventories are filling since they advanced orders when prices were rising, there could be an oversupply of memory when they don't place new orders at the higher current price.
This could quickly result in a price war while capacity expansion and yield improvements create irreversible oversupply.
It matters so that average people have a chance to own their means of production, and that the current hardware-grab by entrenched capital doesn't get to charge such high rent.
Frontier AI labs are customers just like the average Joe down the street. The only difference is who can bid more. Average Joe probably doesn't have millions or wont buy millions of chips.
There are no privileged consumers that have "dedicated" amount of production, no matter the demand.
What point are you making by saying "they're just like the average Joe" followed immediately by saying they have so much more money that they can outbid the average Joe at any price point.
If someone can dump 100x the money to get something I want, they're not "just like me".
I mean... You can buy a stick of RAM with Samsung chips on it and use it in your own machine to run a local model vs. paying for an Anthropic subscription. I assume that's what they're referring to, not owning Samsung stock.
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