How much is that likely to bias the dataset?
146 karma · joined September 30, 2024
How much is that likely to bias the dataset?
So humans do/did still have a role to play
It could have just been a regular black usb stick an I bet nobody would have questioned it.
Instead "why is there something in toilet paper behind the TV?"
If it is so critical, why don't we have tests and benchmarks for it?
Oh right, because "Greg the super-coder" never wrote any of this down and it lives in his head so he can be the arbiter of change.
It was toxic before agentic coding, it's still toxic now.
Document your systems. Add tests and benchmarks for what is important.
We've always known this, we have a dozen or more textbooks written about it. But we always gave it a pass because "Greg the super-coder" was producing more value than he was hurting.
That's no longer the case. Your best coder is now Opus or Astra
But how many changes are actually serious?
I can have an agent mass-produce security bug fixes, zip through our low-priority backlog, etc.
IMO - we need to get out of our own way.
Building is cheap now. Agents are also really good at following checklists and running tests.
So instead of having individual engineers reviewing code, we need to
* Leave human review for the most impactful changes
* Get better at defining the quality bar
* Continually codify human concerns into rules or systems that can be checked against
A lot of this was touched on a few months ago with Spec-driven development becoming a hot topic when agentic coding started.
We should continue that with spec-driven review, testing, etc.
They keep all the input and use it for training data and reinforcement.
If you're being "mean" to it, you're "spoiling" the data you "give" to them - causing them more work to filter it out later.
As with most things in business and life - just follow the money
I don't mind something that requires a modifier key like Shift+click to follow a URL
But so many times now I'll click to get focus and now that's selected some option or opened some pane.
If I wanted that, I'd use the Claude Desktop app!
They are just better at hiding it or configuring Claude.
I have several skills that reformat text to remove AI-speak tells.
Why "even Nvidia"?
They are fully behind using AI for basically everything.
What's next? "Damn, even McDonald's is putting out unhealthy food"
Their skills formats are basically identical, so I setup simlinks from their own skills directories into a shared one so Claude, Codex, Cursor, and anything else that comes out will all read and write to the same shared skills.
It's great having access to the same skills no matter the harness being used
https://www.xbox.com/en-US/accessories/controllers/xbox-adap...
Received high praise if I recall correctly.
Sure, we've all known engineers and product managers that don't consult the target audience, but don't assume that of everyone.
Ok, but that's not a "Silicon Valley" thing.
Go talk to politicians or Home Depot and Lowe's and the home builders conventions.
That's why the post screams of mis-placed anger.
Silicon Valley probably would invent FaceID / NFC / Passkeys / WIFI authentication for doors - but that doesn't mean they'll get installed anywhere.
https://pubmed.ncbi.nlm.nih.gov/28768407/
> A statistical error in the estimation of the recommended dietary allowance (RDA) for vitamin D was recently discovered
> ... This could lead to a recommendation of 1000 IU for children <1 year on enriched formula and 1500 IU for breastfed children older than 6 months, 3000 IU for children >1 year of age, and around 8000 IU for young adults and thereafter.
/s?
What's seemed to change are people's expectations of technology that "just works". When in reality, we are in the infant years of AI/ML and LLMs
We're so spoiled by the pace of innovation we're upset it requires a bit of hand-holding while they figure things out.
And that's a problem with the workflow, not a problem with the LLM.
It's no different than verifying the information from your Google search or the Stack Overflow answer you found works. But for some reason there are people that have higher expectations of LLM output.
I've seen people empty drink refrigerators into duffle bags before the weekend.
There was a guy who took dozens of travel-sized deodorants from the bathroom and kept them in his desk (and still didn't use them...)
There was someone who would pressure the cafeteria staff for 10 "to-go" meal containers.
All highly-paid engineers. Money doesn't buy class
Bad companies do this. They are so conflict-avoidant they would rather end useful programs instead of addressing the few bad-apples.
Good on Meta.
In current child development theories and books, it is taught that young children lack in "precausal thinking"/"transductive reasoning". Where a child does not understand things like "put on your jacket, it is cold outside" or "bring an umbrella, it will rain later".
It is said it is better to teach them "backwards" - let them feel that it is cold outside (problem) then tell them to put on a jacket (solution). But this type of reasoning reverses as we grow and develop.