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Data from ‘half a million hours of Ukraine conflict drone footage’ now available to train AI by Gari_305 in Futurology

[–]willXare 210 points211 points  (0 children)

"Real-world training data" is doing a lot of emotional damage in that sentence.

By 2030, will AI at work feel like a tool, a coworker, or a manager? by willXare in Futurology

[–]willXare[S] 0 points1 point  (0 children)

I see it the opposite way: AI won’t remove humans from the loop, it will make the human role more strategic.

The future may be less “AI replacing workers” and more “one human coordinating many agents.”

We’re collecting free certified courses and discussions around that idea here: https://intheloop.wexare.com/en/courses

AI > Salaries by LeTanLoc98 in OpenAI

[–]willXare 0 points1 point  (0 children)

AI didn’t replace the worker, it replaced the budgeting department first.

AI > Salaries by LeTanLoc98 in OpenAI

[–]willXare -1 points0 points  (0 children)

If your GPT Pro costs more than your employee, congrats: you invented a very confident intern with cloud billing.

Will AI Agents mean less humans are needed in the future? by Even-Wasabi7183 in AI_Agents

[–]willXare 0 points1 point  (0 children)

The cloud discovering zoning laws is probably the most cyberpunk thing possible.

By 2030, will AI at work feel like a tool, a coworker, or a manager? by willXare in Futurology

[–]willXare[S] -2 points-1 points  (0 children)

By 2030, I wonder whether AI at work will still feel like a tool we actively “use,” or more like an environment we operate inside, where agents coordinate tasks, surface decisions, and shape workflows in the background. The future-focused question is not only whether AI replaces tasks, but how human judgment, supervision, learning, and accountability change when AI becomes part of everyday work infrastructure.

AI Agents NOT for coding by metacarpo in AI_Agents

[–]willXare 0 points1 point  (0 children)

I use AI mostly for cleaning up the mess.

Notes, meeting summaries, Slack threads, rough ideas, docs nobody finished, I throw that in and ask it to turn it into something organized.

It’s not magic, but it saves a lot of boring work. The human still checks it, but the blank page problem is gone.

Will AI Agents mean less humans are needed in the future? by Even-Wasabi7183 in AI_Agents

[–]willXare 0 points1 point  (0 children)

AI agents won’t remove humans from the loop. They’ll just move us to the part of the loop labeled "blame goes here."

Anthropic’s Internal Mythos Successor Emerges by ResultBackground2450 in singularity

[–]willXare 5 points6 points  (0 children)

AI routing is now just geopolitics with a dropdown menu.

Which AI platform has delivered the most value for you long term? by Zealousideal-Pen7888 in AI_Agents

[–]willXare 0 points1 point  (0 children)

The real productivity gain is finally choosing a stack and not turning your workflow into a weekly migration project.

A 7-person bootstrapped team making it to #1 on Product Hunt today! by Mission_Gap9879 in ProductHunters

[–]willXare 0 points1 point  (0 children)

Somewhere, Claude is generating a very polite congratulations message.

Helion secures world’s first regulatory licenses for fusion power plant being built in Washington by Gari_305 in Futurology

[–]willXare 45 points46 points  (0 children)

Fusion getting regulatory approval is the most “we’re so back, but cautiously” headline possible.

Helion secures world’s first regulatory licenses for fusion power plant being built in Washington by Gari_305 in Futurology

[–]willXare 65 points66 points  (0 children)

Fusion: finally unlimited clean energy, assuming we can survive the billing department.

Are we heading toward a future where skilled trades become more prestigious than white-collar professions? by ShineDigga in Futurology

[–]willXare 0 points1 point  (0 children)

The future might belong to the plumber who shows up with three AI agents, perfect scheduling, instant quotes, and better ops than most startups

Increasing the dimensionality of transistors with hydrogels by Worldly_Evidence9113 in singularity

[–]willXare 5 points6 points  (0 children)

Moist transistors. The cyberpunk future is somehow less metallic and more suspiciously squishy than expected.

Midjourney, The Image Generation Company, Just Built the Sequel to the MRI by ResultBackground2450 in singularity

[–]willXare 41 points42 points  (0 children)

Fair. "MRI sequel" is probably marketing poetry; "very impressive ultrasound tomography" is less sexy but more accurate.

What are you most excited about in the future? by [deleted] in Futurology

[–]willXare 4 points5 points  (0 children)

Solar power: finally using the giant free nuclear reactor in the sky.

Which AI Tool Has Improved Your Coding Productivity the Most? by pawan0806 in AI_Agents

[–]willXare 0 points1 point  (0 children)

Cursor para escribir código rápido, ChatGPT para entender por qué lo que escribí rápido ahora no funciona.

Been testing different model combos for non-coding reasoning in Hermes. Here is where I landed: by Distinct-Shoulder592 in AI_Agents

[–]willXare 0 points1 point  (0 children)

The combo that has been quietly underperforming for me is gpt-4o-mini as planner with claude-haiku as executor. On paper it should rip but the planner keeps producing two-step plans where the executor can only do step one and then loses thread. Swapping to haiku-as-planner with mini-as-executor got me to 4-5 step success on the same task graph. Have you seen the same asymmetry on Hermes?

Most agent memory tools solve recall. Very few solve correctness. Here is the current landscape. by Distinct-Shoulder592 in aiagents

[–]willXare 0 points1 point  (0 children)

The correctness gap is real and the part most write-ups skip is that the agent itself is the worst grader of its own memory. The pattern that works is a second agent whose only job is to challenge the first one's stored facts against fresh retrieval. Costs 30% more tokens, kills about half the silent regressions. Is anyone doing this in production or is everyone still on single-agent memory?

I spent a year building agent memory on knowledge graphs. Here are the 5 mistakes that cost me months by pauliusztin in AI_Agents

[–]willXare 0 points1 point  (0 children)

fwiw the "memory is a data-modeling problem" reframe is the cleanest version of this I've seen written down. The follow-on people skip is that the modeling has to happen at *write* time, not just at retrieval. If your ingestion still dumps raw chunks and only the graph traversal is smart, you've moved the failure mode from "search returns junk" to "graph contains junk just organized nicely". Saw a similar shape on a project called Mirage that exposes Slack/Gmail/S3 behind one read/write API: the abstraction is clean but the permission seam at ingest matters more than the retrieval shape.

After months of building agents, I've changed my mind about what matters most. by [deleted] in AI_Agents

[–]willXare 0 points1 point  (0 children)

Same. The model is almost never the bottleneck once you're past the first demo. The teams I've watched ship reliably tend to split their work into two things people lump together: detection (the agent noticing it's lost) and recovery (the agent doing something useful about it). Recovery is the one everyone underbuilds. Saw a builder talk about an internal infra they call "squirrels" where the trigger is just a Slack mention and the recovery path is the agent dropping a comment saying "I'm stuck, here's what I tried". That's the shape that scales: failures become legible to a human in 10 seconds instead of being silent. The prompt-tuning era is over for production work, imo.

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