dileeparanawake

Dingle3000

This is cool. For on device models any plans / models that use MOE in relatively resource constrained setups (I’m thinking MBP M1 16gb ram)? I’m using LM studio but all the Gemma models (mlx) seem to crash but surprisingly managed to get gpt-oss 20b working (slow) on my mbp.

I find performance in resource constrained environments interesting.

In particular trying to find decent code models (on device backup) but also tts applications and voice to text.

Wow that’s insane - didn’t realise that was happening re non-organic posts.

From a behavioural POV it seems like an obvious play. These companies and there owners have huge gains via social engineering.

There is very little transparency, accountability or regulation.

The thing that worries me is the unobvious… most people know about instagram and ++ suicide rates. What shocked me was finding out that instagram used things like waiting for people to remove photos of themselves, identify insecurity behaviour, use that to position beauty products to young girls. It seems so so unethical and predatory. Not to mention the impact on public MH when applied at scale.

Another crazy stat was something like screen time av was 4hrs/ day and av attention spans dropped from ~180s to something like ~90s.

The impact in so many areas is so bad. Blows my mind there is such a lack of regulation.

Thinking AI has the potential, at scale to social engineer without the need to bother creating content / making bots.

Siri.

Sounds like an accomplished life

Amazed social media engineering society isn’t getting more press. They are all doing it.

I noticed this first on X - during the FarageRiots where an Asian woman asked how many people felt safe. The volume of violently racist replies was insane. As an Asian man - it made me feel, very scared about society. I felt outnumbered. It wasn’t reflective of society - as it turned out it was a mass demonstration of racial unity, by the vast majority of Britain. But not on X

On YouTube I noticed it silent deleting my comments. Nothing violent - literally a comment saying I was concerned about NHS privatisation and takeover by the US finance. Noticed the same comment get removed. No notice. No reason. No appeal. Take down. Invisible. Quick google shows lots of people experiencing same thing.

And it got me thinking - wow - imagine shaping public sentiment at mass. Making opinions that weren’t convenient to people owning social media disappear. That creates helplessness. Shapes elections.

The rage bait we see now pulls in attention, shapes conversations and defines the Overton window.

Noticed a post from Theo T3 an hour or so ago that was critical, on X, about OpenAi and the first comment was calling him an OpenAI shill. Certainly seems plausible incentives on X to fuel anti competitor sentiment and amplify useful sentiment.

This article on meta is validating the patterns I’ve seen. It’s deeply concerning. We are in an era where society is micro shaped by social media owners and their agenda.

This issue needs to be addressed. We need regulation and transparent recommendation algorithms and clear limit in targeting users.

And then there is the toxic nature of social media engineered addiction. Side bar I know but has to be said.

We need much more regulation and we need more decentralised ownership for social media companies to protect democracy.

My 2C: Outcome = A quantified, measurable, desired deliverable.

Aha with you - so essentially the challenge is about enforcing accountability?

Humans = you’re fired / llms less clear?

Would or could rewards / penalties (like in reinforcement learning) address the accountability issue?

The assumed pre-requisite is LLM has clear responsibility (important for accountability human or otherwise).

I’m thinking responsibly is ownership of task vs accountability- who owns the outcome / get barked at if the outcome isn’t delivered?

Why does wealth inequality drive price inflation? Good question and not obvious. Here's the answer?

How much does a bottle of water cost?

- Supermarket? - Festival? - In a drought, when you're standing in line behind a thirsty billionaire?

People with a large relative net worths, drive asset prices up, like bids in an auction - even if they aren't the final bidder.

In theory - CEO's have ultimate responsibility. In practice it's more complex - boards, delegation, company structures, hr etc etc remove a lot of ultimate responsibility from CEO's. The buck stop's here, unless, the CEO's decides otherwise. Carlos Tavares is a good example of this. Got away with more screwups than many senior employee's could dream of. Ditto lots of legacy autos. The board / shareholders typically have a lot of sway and delegated accountability / responsibility.

Your point about measuring errors is an interesting one. I think definitely CEO’s / business leaders are very good at deflecting negative responsibility and aggregating positive outcomes. Not exclusively. I know several senior leaders who are very very competent. But I think in business it is typically easier to look good, than do good. Across most domains.

I think the ambiguity part is a bit of an illusion - lots of people who make good predictions on complex things, have good, informal, decision making models. But like an llm, a lot of their minds are black boxes, even unto themselves. Therefore hard to replicate.

It’s so interesting have asked this myself a lot. So firstly - it think this would be an excellent use of AI but the barriers are;

1. Political - CEOs have significant purchasing power. 2. Obfuscation - engineering is (relatively tightly defined) but being a CEO is often more fluid and a lot of the decision making is wrapped in stuff like ‘gut’ instinct. There’s no docs for a CEO. 3. Cultural - we treat CEO’s like art and idolise their value instead of looking at them like a node, that aggregates organisational data flows. To me a CEO is a little like a model router - but with more politics.

I think there’s a huge opportunity to replace CEOs but I think like in engineering that doesn’t happen in one shot - it happens by devolving responsibilities.

I personally stepped down from the business stuff running startups and small companies because to me it feels like BS and into engineering so perhaps I’m biased.

When I ask my CEO mates they’re obviously dogmatically convinced they are irreplaceable.

But I think the devil is in the detail. I’m a relatively junior engineer and was crapping myself about ai taking every entry level job - until you get into it and realise there’s a lot more nuance. At least near term. Same for CEO’s.

I’d love a world where we can focus on engineering outcomes, not the political crap that weighs us down.

My TLDR is I think the main barrier is political, not pure engineering.

But I suppose / hope we can re-engineer the political, with effort.

Simple is good. For me - apple notes (my life todo temp), apple reminders (more persistent todos / reminders - setup kanban) and then text files + kanban for coding projects.

Todo lists of any kind in a team context usually fall down and kanban is the way forward.

Yep right now I’m not even sure I’d say it’s 10% better (at things I use it for). Feels overhyped based on the launch and what every influencer covered in their review (maybe obviously). Maybe it will get better as they sort out routing and other kinks. Right now feels like big gap between marketing and reality.

Not sure about them peaking but I definitely feel that right now gpt-5 doesn’t feel like a game changer like the marketing says. In some things it’s worse, slower, less useful (in terms of detail not ego flattery!). My use case is mainly code and learning.

I think the make everything bigger is plateauing and not yielding the infinite returns that were first suggested and demonstrated from gpt 2 - 4.

I think now it’s harder because they’ve got to focus on value per watt. Smaller good models mean less energy, less complexity to go wrong, but harder to achieve.

The unlock could be more techniques and focussed synthetic data from old models used to train new ones but apparently gpt-5 uses synthetic data and this is one of the reasons it isn’t necessarily good in real world tasks.

For me if we go the synthetic data route it’s important to shoot for quality - good synthetic data distils useful stuff, discards the noise so useful patterns are more solid in training, but imagine it’s hard to distinguish signal from noise to produce good synthetic data.

Increasing wealth inequality, drives prices inflation, wage stagnation and less disposable income, driving less consumption, driving less revenue for businesses, meaning cuts happen and hiring freezes, drives slowing growth in new job market.

Agree & disagree. Agree - some neurodiversity products / self help products are very predatory and aim to make people think it’s the solution for their struggles when they aren’t.

A label by itself isn’t useful until, you understand the condition, how it impacts you, and what things you can do to make your life better, know you know.

Re symptoms like “daydreaming whilst reading a book” tbh think this misses the point. The frequency a barrier happens and the amount of disruption it causes to someone’s everyday is highly significant.

Neurotypical people also daydream whilst reading a book. The difference is if you can’t focus on a book so much you barely get through the first page, on every page you attempt etc.

I’m adhd, autistic and dyslexic. The value of these diagnosis is to be empowered to understand myself, rock where I rock, accept the things I probably will waste time trying to fix, and use various things to address the challenges I have, that are possible to address and worth effort.

Both agree and disagree here. Agree because you have outlined a reality here. Disagree because, on aggregate, the expectation of making neurodiversity confirm is toxic and is a major barrier to productivity and workplace cohesion.

Basically;

lazy / inflexible management = productivity losses flexible & inclusive management = empowered people + awesome results

this field means neurodiversity technology / assistive tech. Obviously I distracted myself, before I completed that thought

absolutely, constant messaging interruptions are terrible. Solution is turn of messaging, hide my phone, and help my colleagues know that if they consider about the outcome / work I do they'll let me focus. It doesn't matter if they think that's unreasonable, it just is what it is, and it's important for me to communicate that. I have, ADHD, Dyslexia and Autism. Have worked in this field for a long time. The problem is not the tech. It's the social expectation and that needs to change to enable people who are neurodiverse. Because normies do things, they need to understand, other people rock it, when they do different, because we are different.