Dystopia? It's already here and that's OK. Here's why.
The text reflects on the misuse of technology and ethics in Silicon Valley, highlighting the importance of awareness and compassion amidst current challenges.
finally found something I wanted to use ChatGPT image generation for! On the fridge and the family loves it, going to be a busy week 👨🏻🌾
happiness is
"django_cotton",
"template_partials.apps.SimpleAppConfig",
unhappiness (for what seems like an eternity) is:
"template_partials.apps.SimpleAppConfig",
"django_cotton",
How did America break itself? Ideological sabotage of the scientific method and how to counter it.
Great podcast where she talks about why America is broken. Ideological sabotage (which surprised me, I’d thought the initial perpetrators would have done it for money) of the scientific method to protect the “right of freedom” has done exactly the opposite… It really feels like some Americas are stuck fighting against no longer existence foes, either the British tyranny and taxation without representation or the war between capitalism and communism.
China’s first heterogenous humanoid robot training facility
During the first phase of the project, the robots will be trained with approximately 45 atomic skills such as grasping, picking, placing and transporting
A single action may need to be repeated up to 600 times a day by a data collector for the robots to learn from
10 key scenarios, including industrial, domestic, and tourism services
It is expected that the collection of over 10 million real-machine data entries will be achieved within the year
Is the EU AI Act Killing Startups? A Medical Device Perspective
The analysis concludes that while the EU AI Act does not obstruct startups, it presents both challenges and opportunities for innovation within a complex regulatory landscape.
The cold has fully kicked in now, and has a hint of covid about it… 😵😷
Plans to wire up the shed scrapped.
Split for choice between Russell’s Human Compatible, Mark Burgesses Treatise on Systems, or Green Mars. 🤓
Given the kids are out I might just enjoy the quiet!
#ChilledSunday #BeingHuman
“But who was learning, you or the machine?”
“Well, I suppose we both were”
Amazing book 🔥🤓
#TheAlignmentProblem #Learning #ResponsibleAI
The Alignment Problem by Brian Christian 📚
Clearly there are thoughtful, well spoken politicians in America.
I hope people can rally around and stop the Baffons soon. 💪🏼
#BeingHuman
BBC news article is very clear…
The Russian president has given the US leader just enough to claim that he made progress towards peace in Ukraine, without making it look like he was played by the Kremlin.
New wave of Innovators: why AI won't replace software engineering
There’s a lot of change at the moment, my feed is all about foreign policies, US government cuts, AI writing all code, and now parenting adolescents. I’ve been experiencing a high level of uncertainty about Europe’s place in the world, mainly what decisions will be made after the US made their policy clear. Though there’s one area that my uncertainty is decreasing in; that’s AI generated code. It won’t replace software engineers.
[NN Series 5/n] Regularisation: reducing the complexity of a model without compromising accuracy
Regularisation is known to reduce overfitting when training a neural network. As with a lot of these techniques there is a rich background and many options available, so asking the question why and how opens up to a lot of information. Diving through the information, for me at least, it wasn’t clear why/how it did this until I reframed what it was doing. In short, regularisation changes the sensitivity of the model to the training data.
A speculative recipe for useful agentic behaviours
define actions by Promise Theory train multiple neural nets to classify an action for a given input (train them differently to spice things up) take an environment for the agents to operate in (e.g. a 3d maze where collaboration is needed to escape) bind the agents interactions with a healthy dose of the wave collapse algorithm
Flow and decisions - almost a parable
(I forget exactly but I’m pretty sure this is from an Alan Watts lecture). A farmer needs some help around his farm. He puts up a sign in town, asking for someone with general skills to help around the farm. A gent arrives two days later with his toolkit, the farmer welcomes him and tells him there are some broken fences on the north side of his farm. The gent heads over to the area, spends the day fixing the fences, and comes back in the evening to tell the farmer it’s done.
[NN Series 4/n] Feature Normalisation
This is an interesting one as I’d thought it was quite academic, with limited utility. Then I saw these graphs Error per epoch This graph shows the error per epoch of training a model on the data as is We can see that it takes around 180-200 epochs to train with a learning rate (eta) of 0.0002 or lower. Now compare it to this one Here we see the training takes around 15 epochs with a learning rate of 0.
From Green Mars by Kim Stanley Robinson.
[NN Series 3/n] Calculating the error before quantisation: Gradient Descent
Next I’m looking at the Adaline in python code. This post is a mixture of what I’ve learnt in my degree, Sebestien Raschka’s book/code, and the 1960 paper that delivered the Adaline Neuron. Difference between the Perceptron and the Adaline In the first post we looked at the Perceptron as a flow of inputs (x), multiplied by weights (w), then summed in the Aggregation Function and finally quantised in the Threshold Function.
[NN Series 2/n] Circuits that can be trained to match patterns: The Adaline
The text discusses the development and significance of the Adaline artificial neuron, highlighting its introduction of non-linear activation functions and cost minimization, which have important implications for modern machine learning.
#BeingHuman - look after your << self >>: love is all it needs.
The author shares personal reflections on self-kindness and positive thinking as tools for finding peace amid societal challenges.
#BeingHuman and a Dad.
My wife and I have 3 main concerns with our daughters use of phones and Social Media what her videos and posts can be used for. That includes both the companies and any who has access (making fake videos in their likeness) loss of critical thinking addiction and the infinite scroll So we’ve got these 4 guidelines in place: phone off at 20h 30 minutes reading each night creative session per week meditation (2*5 minutes per week) I’ve also gone through these two posts with my 13 year old daughter.