MASNeo

Now all that’s missing is an actual chip that can be purchased. Any ideas?

Yes. Made my day!

VCs have no money and few have the money to manage the money entrusted in them. The people that give the money have the money because they ask people to do more with less. In that pinch, one might understand how VCs look to proxies, and often fail to find great ones but at least then it wasn’t expense. Ever tried to sell something to a VC except equity - it’s an educating experience?

Very curious about this as especially with more use of AI in the development process I have seen PR size has increased. So looking forward to general availability.

“roll everyone over to os2”

The IBM crowd may feel vindicated at last.

Is it an Aprils Fools publication?

Thank you.Awesome project!

Unfortunately I think you have given my kids one more hard to refuse reason to get more candy: I need more storage.

I fail to see how RSS helps filter out AI slop. Started a business based in RSS 20 years ago but that failed against Social Media slop.

I believe human validation protocols might help, think captcha enabled ping backs, but RSS I believe may have very little impact on its own

I am working to track and trace and time transactions and while this is possible when and if you know the identity of at least one participant it’s quite another thing when no identity is known at all. Criminals know that so it’s notoriously hard to pull off. Thanks to Daleware secrecy and lax Super PAC rules to disclose sources of funds it’s not going to get easier.

So either your friends are genius saucers or they have effective government intelligence that would be highly appreciated. I’d be interested.

You are spot on regarding the bedroom though. Exporting physical USD is far more lucrative, by the shipload, often by Chinese Money Laundering Organisations, for free.

At risk to be unpopular Gemini 3.0 Pro made a huge difference for me when I moved some workflow to Antigravity, especially compared to ChatGPT.

The latest update? I simply don’t care. I am not paid to evaluate models, I am paid to build. Not sure 4 benchmark points are making the difference.

Oh my, that is a depressing view on the human condition.

Worse, half-truths and half-lies.

I wish there would be more of this research to speed things up rather than building ever larger models

That’s such an amazing story. I ca relate to much of the emotional, time and financial commitment of a non-profit and keeping at it like you have is absolutely commendable. Seeing you succeed is an inspiration to continue doing the right thing for me and for many others!

+1 canceled all OpenAI and switched to Gemini hours after it dropped. I was tired of vape AI, obfuscated facts in hallucinations and promises of future improvements.

And then there is pricing too…

Remarkably some claim AI has now discovered a new drug candidate on its own. Reading the prep-print (https://www.biorxiv.org/content/10.1101/2025.04.14.648850v2....), it appears the model was targeted to just a very specific task and without evaluating other models on the same task. I know nothing about gens, and I can see that is an important advance. However, seems a bit headline grabbing when claiming victory for one model without comparing against others using the same process.

Try philosophy, you would need good logic to get the necessary peer reviewed publications ;-)

Would be great if more data were made available by OP to peer review some of this. That said, making money with failure starts looking like a business model - highly unethical. Why make customers succeed when you loose money doing so.

So are you saying it needs a an agent.txt along the robots.txt?

Well, as it seems they have a hard time getting trains on time, perhaps stress resiliency practiced in gaming is a useful skill for customer service reps.

If genuine, this finger pointing is an interesting approach to a security vulnerability. Last time I read such arguments was 20 years ago from a different firm in California and it was not to their advantage.

P.S.: where did you see this discussion?

Would love a terminal and make world while on the go (-;

I do not have any specific perspective on how this is best done. I believe being able to run inside a closed environment might be preferable, logs do contain pretty sensitive stuff. Perhaps a container that pulls from CloudWatch might be an option?

Great idea. I had been thinking about pretty much the same but perhaps targeted at executives and perhaps including AI/Cloud.

I usually feel to many people wildly through around terms they hardly understand, in the belief they cannot possibly understand. That’s so wrong, every executive should understand some of what determines button line. It’s not like people skip economics because it’s hard.

Would love to perhaps contribute sometime next year. Stared and until then good luck - perhaps add a donation link!

You’d be surprised how much trust people place in legal departments, balance sheet strength and talent capacity. All things for which I had to turn down superior technical proposals in the past. The old saying „Nobody gets fired for buying IBM“ still runs strong.

Free e-signatures are a great idea, have you considered getting a foundation to back the project and maybe taking out some indemnity insurance, perhaps raising a dispute fund?

Advocating the use of appropriate AI and data standards for fighting financial crime: https://soteria-initiative.org/

Financial institutions and governments don’t spot crime because of incomplete information at individual firms. We help them understand federated learning and how to effectively collaborate and not just talk about it. All code is open source, so you can always help out ;-)

Some industry players are coming around: https://www.swift.com/news-events/press-releases/swift-ai-in...

This is awesome and I wish more of this were happening. Hardware home labs are the best way to learn. I gained most of my Linux/FreeBSD skills at home.

It feels with cloud computing a generation of computer scientists kind of missed out on the experience.

That’s nailing it really well: “willfully ignoring” is precisely what’s happening all around me. Me talking about small focused AI models, there you have everyone raving about AGI. Energy use and privacy issues of cloud vs local inference discussions end on how awesome the power of GPUs are and the jobs too. GPU backed finance with depreciation schedules past useful life seems OK for anyone chasing some short term gain. Even the job market is troubled, you can hardly tell a relevant candidate from an irrelevant one because everyone is an AI expert these days - hallucinations seem to make lying more casual.

It’s pretty clear to me there is a collective desire to ignore the problems to sell more GPU, close the next round, get that high paying AI job.

Part of me wishes humans would show the same dedication to fight climate change…

I wonder if the buying customers of Nvidia are going to find the self’s left with the overcapacity. Certainly people are waking up to LLM challenges and as budgets focus more on useful applications, smaller language models, how much of that demand will remain.

Also, depreciation schedules beyond useful life of an asset may not be fraud but I’d call it a bit too creative for my liking.

Time will tell.

Please show this to AWS. CloudWatch is such a pain, arcade visuals is what I want, if I have to look at logs.