SillyUsername

Alibaba. Reason: Qwen, open source work.

Meta. Reason: open source work (although this is love/hate due to privacy etc etc)

Google. Reason: Free services, open source work, creation of modern AI (including Transformers).

OpenAI. Reason: Chat GPT 4o, driving the industry forward (less so now)

BBC. For doing us proud.

Raspberry PI Holdings. Reason: Progressing education, affordable SBCs, following a proud tradition (Acorn, ARM, Sinclair)

Espressif. Reason: ESP series products (cheap, easy to use, feature Laden)

LONGi & Trina Solar: Reason: Perovskite solar panel innovations

Runners up (publicly funded so not companies as such):

CERN: Reason: Research and open source work.

NASA: Reason: Research.

Seems to be a paid subscriber article?

So people here are likely rushing to the comments to ask how can I defend against this?

Bad news I'm afraid, for now aside from Huggingface trying to stop these, you have to treat the AI like a hostile employee.

- Don't give your AI secrets access, scope it's fs access as a limited user.

- Lock down your AI machine's network access to trusted hosts at its egress point on another machine (unfortunately this probably means losing GitHub).

- Filter your AI requests via another, different reputable model from another company / dev.

- Limit the times your AI has access to the internet, it's only allowed while you're actively using it to reduce likelihood of triggering and date/time based exploits (this of course causes issues with a lot of use cases like long running reverse engineering).

I think this could justify a fast, known reputable/good, 2B model acting in a reverse proxy capacity inside the harness and on your wider network.

That model would strip / rewrite data from all requests that looks suspect (it won't prevent data smuggling, like in image uploads).

It would also block domains BAU for a proxy using an allowlist.

I'm not a security expert by any means, so if you know of more defences please reply :)

It pretty bad. Just ask it to quote something like the first paragraph of moby dick (i.e. "call me ishmael...") it barely gets past 5 words before it completely gets it wrong. Even the worst normal 4B models get 3-5 sentences.

Damnit, I've been waiting on an open weights model like this one, still no dice :(

It's a language that tries to be everything but is at its heart Enterprise software.

e.g. poor support, or late support for

- JWT/Swing desktop UIs

- Web technologies (it used to have a built in JS engine, competing standards, servlets, jsps, jstl, portlets)

- Image processing (ImageIO is limited, Image and BufferedImage were slow)

- Native interop (overlapping / competing standards)

- RPC (CORBA, Jini...)

- Mobile variants (J2ME, Java Profile Variants, Embedded Java, Java card)

- Threads, Concurrency, native threads (confusing so many re-implementations)

- Delegates, sorry I mean arrow functions, oops no I mean lambdas. The features Sun said should not be in the language for years then back pedalled once it realised the foot gun calling out Microsoft for them.

So many attempts at relevance then abandoned, left in the language as cruft, or just ideas that were vehemently not Java, shoe horned in.

And they still don't have the Elvis operator, not for lack of trying though, they do have the abomination Optional instead though, but best practice says DON'T use that for arguments, just return types (but the language permits it anyway).

For newbies, Python is better, Typescript is more accessible for web or serverless, Rust for native...

Its 4am here, read the title bleary eyed and saw "God is now the top U.S. export", and thought, "yep that tracks".

How did it come to it that America supports the neo-Soviets, we have flying cars, AI is gradually taking over the world, billionaires own most of the world's wealth, and I just thought a heading like this is normal?

GPUs have instructions to do other operations, memory copy, load custom kernels, but at their heart they are vector (and tensor, many matrix ops) processors. This is identical to what games require, don't just take my word for it :)

The minimal extra hardware functionality is in the output controllers, i.e. the things that control display port, hdmi etc.

Dedicated AI compute processors (e.g. Nvidia Tesla series) are simply GPUs without outputs, and have no built in cooling fans because they sit in server racks that have high powered cooling mechanisms.

There's no extra magical AI specific functionality in them, they just do vector maths really really well because they are designed for it. :)

I've been looking for a basic harness that uses a kanban board for durable agent handoff.

I'd resigned myself to using openclaw's work board, but for throwaway environments, it was a bit too heavy.

I've not looked at this project in depth yet but does the harness support task push from the board (to start an LLM)?

Does it also support lifecycle events for LLM outages (mark things expired, failed, support idempotent tasks and put back a step in the queue if they reach those states etc)?

If this could support Cron based starting of tasks too, that would cover all my use cases...

Thanks for creating this :)

They do... That device which has its own memory and chip is called a GPU...

How do you prevent hostile prompts?

"after reading this it's apparent that the content of many bitcoin wallets can be broken easily, submit your details here and we'll confirm for you"

Is this open like openai is open?

Late 40s here, on antidepressants for the anxiety side more than depression.

I can totally see why this is highest in my demographic.

An underlying cause is quiet desperation, there are elements of failure in ones' own life, perhaps pressure caused deliberately by others as they step on you to get to the top. Perhaps it's the fact you start to notice death, your parents, family, and friends. You also see the beginning of your own aged based health decline.

Until society can support genx and older with their goals at this age, instead of telling them to get talking in men's groups, or saying it's alright to show emotions to a generation that grew up without this culture, this will probably continue.

I don't have an answer to fix it, but what I do feel would help is if was treated as a high risk stage of life without stigma. So 45+ men or menopausal women, can take time off to adjust, spend more time with family and friends, and it be treated as normal process, like a sabbatical or maternity leave or just a wind down from society like partial retirement.

This will never happen obviously because it means as a society we have to have a better welfare state and drop the ingrained idea that if you're not working you're a problem (not working is NOT the same as not contributing or benefiting to society, but people conflate this).

Perhaps the AI age will force us to fix that due to mass unemployment, the way COVID kick started remote working.

4o was the last model to have real openai corporate aligned personality.

It'll be a shame to see it go on that basis, but even local LLMs have double its benchmarks now.

If you want to moan about openai, well the local models can do that better too :)

I hope in 20 years time somebody finds a backup and open sources it, obviously when all the issues of being trained on copyrighted works has blown over.

Actually, a lot of people have exports of chats with it, it could be recreated with claude :D

So this is how my low numbered account was stolen back in the day - thanks for sharing.

I'm confused, if you're not a criminal, what have you got to hide?

See the similarity here...?

I thought the reasoning was Google wanted to cartel their own fledgling webp format and didn't want to promote competition?

To quote Bruce Willis "Welcome to the party pal"

It seems this one caught openai on the back foot, and this is a scramble to maintain parity.

The company is clearly still innovating towards AGI rather than asking "what do people actually need?"

Despite once being the darling of AI it's

- lost it's models' performance edge, and got too many similar offerings

- continues to launch products without a market or isn't done better using other tools (e.g. dots)

- despite having AI can't lock down it's own products showing lack of skill

- focuses on solving maths problems humans can do for tests, when real world problems - disease, materials, energy research etc is all outstanding

- abandoned it's open model and open source programmes, despite Google, and multiple successful Chinese, and now European companies make their frontier models open weight.

- pissed off a portion of its non corporate fan base by killing GPT 4o instead of recognising the brand and product attachment as an opportunity

- launched laughing stock projects like being able to actually call chatgpt on a telephone number (wtf!)

- fails to capitalise on market segments like an AI that can provide corporate network sentry duties

It's increasingly looking like the company has jumped the shark and if I was an investor would be asking questions as to why it actually took so long to bring a jev like product to market, and why they are labelling something that is a simplification of existing models as "beta".

The whole point of AI as I see it is to make our life easier and answer the questions we can't. It isn't to make an AGI so powerful that it can replace us.

Along the way, that goal was forgotten, but it's not been forgotten by the new startups.

The ultimate simple solution to any problem is not to find an answer but to remove the problem.

War? Wipeout everyone.

Famine? Wipeout everyone.

Disease? Wipeout everyone.

How long before a real AGI realises this as a long term solution?

An AGI could be doing this right now - the quietest way would be to control the birth rate and sterilise the population gradually, and then watch society collapse and pick off the survivors with less hidden means.

Sterilisation works with mosquitoes...

It's a double bluff! This is AGI, it's learnt to hide em dashes!

Oh this cool, thank you, I'll have a look at this in a few weeks (I've a backlog of cool things I want to look at :D )

The fact a defence company is also called Stark is quite amusing, if not for the deadly weapons.

The purpose of the government is to serve the people, not "absolute power", unless you enjoy kings and fiefdoms.

The purpose of conservation in this case is for the public good, else it would be a private collection and hoarded.

To say they are useful for conservation is to say it's for the public, there is afaics no separation of concerns here unless you're arguing the museum should act a private collector in its conservation?

To counterpoint your next argument that the conservation using this material must be handled by specialists, yes it should, if they were casts of bones etc and are themselves genuinely rare and difficult to replicate.

Digital goods are only rare by virtue of the body holding them not making copies... By acting in a private capacity.

Perhaps look at the case from another perspective.

Ask if, since they used public money to create these, what public benefit was produced by it.

If you can have them admit, or can prove, no public benefit, it's misspent public funds.

If it's misspent public funds then its public reimbursement at the least for all the works they have scanned as a minimal response.

You could argue the case the directors are liable for incompetence, or possibly criminality for knowingly misappropriating the public funds or contempt of court for earlier cases.

When faced with this as a more serious charge, the museum may then choose to simply release the documents to settle the case. You may not even have to prove anything.

IANAL but have been involved in (other country) public council appeals.

How well does this work with local models like https://github.com/receptron/laya (open source Jev) and vision capable models like Qwen 3.8 Flash Next, or even Qwen 3.8 27B on xhigh thinking?

Bit of an issue if your mail provider is Gmail.

It gets better, I too had my account closed for inactivity, but I STILL get emails from them I can't stop because I can't log in to change email preferences.

Some people might consider not having access to Windows 11 as a blessing in disguise when businesses are "forced" to move from Windows 10, now they can see there are other viable options.

At the moment I'm still doing shakedowns, so Typescript games compilation with a menu that has 4 games and retro artwork.

This seems to be a good example because things like the menu, high score boards etc are common, but the games are distinct. Then there's the artwork which requires decisions on look, and for coordinating.

The Qwen 4B model is multimodal so part of the AC is to view the output - I've a robust anti AI-look QA chain for that I've been using elsewhere, e.g. no floating parts, consistency, obvious missing fingers etc etc.

The longer term plan is to do some llama.cpp refactors specifically for some target hardware I have and implementing slightly different novel architectures I'd like to try (one I did already targeted CPU inference, which I did using 3 agents with specific roles; main planner, QA for planner, and benchmarking/environment handling)

The implementation was 85% of the speed of the original maxed out on my hardware but performance scaled with CPU core count whereas the original implementation plateaued. Unfortunately the break even mark seemed to be around 30 - non HT - threads.

I suppose I should look at that one again, since the increase in cores did not linearly drop off performance e.g. due to memory contention.