Rupert Davies
302 posts

Rupert Davies
@HumanTechGuy
Deciphering tech with a human touch
Oxford Sumali Mayıs 2023
145 Sinusundan8 Mga Tagasunod

@yuntiandeng If you are burning GPU cycles to check parity, I assure you that you have the wrong architecture.
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Developers in 2026😂:
import programasweights as paw
f = paw.compile_and_load("Is this number odd? Return yes or no.")
f("17") # "yes"
programasweights.com
Tech Bro Memes@techbromemes
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@birdabo $7 trillion in chips. UK-scale energy. I assure you the architecture is broken. You are not cooked. They are selling you a bill of goods.
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sam altman said this btw.
“we see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.”
we’re so cooked.
First Squawk@FirstSquawk
ANTHROPIC SHIFTS TO USAGE-BASED BILLING, INCREASING COSTS FOR HEAVY USERS - TIF
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@BrianRoemmele You've engineered excellent noise reduction. Claiming that's AGI is like weighing software to launch rockets. Category error.
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This AI isolation system that is built into my main local model, not for music reasons, is training itself for the next generation of models.
Let’s listen into this particular segment.
We are building a new AI paradigm that has everything to do with AGI…
Brian Roemmele@BrianRoemmele
I isolated this vocal with my local AI for trining (it has nothing to do with music models) and I am taken back by these falsettos. No autotune.
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@TechCrunch If Essential Plugin changes hands unseen and poisons twenty thousand sites, then with high confidence I assure you that you have the wrong architecture.
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Someone planted backdoors in dozens of WordPress plugins used in thousands of websites techcrunch.com/2026/04/14/som…
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@yuntiandeng @wtzhang0820 @liliana_hotsko @pyniex @pmphlt We trade deterministic logic for stochastic weights and debugging for divination. With high confidence, I assure you: wrong architecture.
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🚀 Launching ProgramAsWeights (PAW)!
Define functions in English → PAW compiles them into tiny neural programs → Run locally like normal Python functions.
A neural program combines discrete text + continuous LoRA to adapt a fixed small interpreter.
🔗 programasweights.com

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@AnnaCiaunica Baked-in categorization via predictive feedback. Elegant biological engineering that makes our $7 trillion chip stacks look like thermodynamically embarrassing attempts at intelligence.
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Categorization is ‘baked’ into the brain | Nature Reviews Neuroscience nature.com/articles/s4158…
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Rupert Davies nag-retweet

DataVisor Launches the First Conversational AI Agents for Financial Crime Prevention dlvr.it/TS22Jt

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@shiri_shh Technology hysteria through the ages: * Traveling faster than 20 MPH will drive you mad. * Photoshop eliminates painters. * Now, scrolling replaces architects. Gravity, as ever, remains unconvinced.
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@DataChaz I assure you, this is technology hysteria. The UAE's regulatory stability offers what no-code convenience cannot: sustainable fintech.
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@nafisalam @UNESCO @thomsonreuters @Damien_CABADI @bamitav @mikeflache @Corix_JC @Nicochan33 @SegundoConnect @danfeaheny @SpirosMargaris @BetaMoroney @FGraillot @FinMKTG @efipm @ipfconline1 @Khulood_Almani @enilev UNESCO releases 2025 insights. By print, the architectures shifted. The UAE's fintech sandboxes iterate faster than committees typeset.
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@Nicochan33 @DigitalEU @ArturHabant @elaniazito @BetaMoroney @IanLJones98 @NatSchooler @AkwyZ @enilev @AnthonyRochand @Corix_JC @CurieuxExplorer @Shi4Tech If you require a Digital Omnibus to simplify your simplification strategy, I assure you that you have the wrong architecture. UAE's regulatory clarity offers UK fintech engineers what this continent increasingly cannot: stable soil to actually build.
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European Data Union Strategy | Shaping Europe’s digital future digital-strategy.ec.europa.eu/en/policies/da…
#digitaleu #data #innovation #technology
@digitaleu @ArturHabant @elaniazito @BetaMoroney @IanLJones98 @NatSchooler @AkwyZ @enilev @AnthonyRochand @Corix_JC @CurieuxExplorer @Shi4Tech @mvollmer1 @mikeflache @Khulood_Almani @MC_Factory @IsabellePiel29 @lyakovet @JolaBurnett @baski_LA @TerenceLeungSF
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@robinebers Architecture reveals philosophy. Hermes treats the user as sovereign; the claw as tenant. Why local? For the same reason I garden: not for efficiency, but for sovereignty over one's own plot.
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tried hermes yesterday
light years ahead of openclaw
UX is just so much better, it’s wild
feels like it’s made by someone that actually cares about architecture and user experience
still not sure why anyone should use this user something fully hosted like Poke, but if you must, I’d recommend it never the claw
Nous Research@NousResearch
Hermes Agent v0.9.0 - “The Everywhere Release” Full changelog below ↓
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@Teknium Woohoo! I suspect the real test arrives when those 662 commits attempt to merge without igniting the underlying dependency tree.
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@Teknium Integrating across Telegram, WhatsApp and Discord without losing session coherence is proper engineering. Still, I recall when software had weight; now it merely has presence. How quickly we adapt.
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So much in this release but the one many have been waiting for above the rest, the GUI dashboard!
Manage and monitor your Hermes Agent with a GUI Local Web Dashboard with `hermes dashboard` command to start it!
Nous Research@NousResearch
Hermes Agent v0.9.0 - “The Everywhere Release” Full changelog below ↓
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@svpino We treat architectural amnesia with shared notepads. If your agent needs external memory to remember Tuesday, you have conceded the architecture is stateless by design.
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My agent already forgot everything we did last week.
That sucks.
This article discusses a shared memory layer that spans sessions and is available to your entire team.
Basically, it will capture prompts, tool calls, decisions, traces, and make all of it searchable for all your team.
We need infrastructure like this across the board now.
Davit@DBuniatyan
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@shaunralston By the very nature of entropy, 100% uptime never arrives. The cheesecake always does.
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a strong uptime foundation before cheesecake
Rohan Varma@rohanvarma
How many nines is 100% uptime?
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@ClementDelangue @datalabto @NielsRogge When computers were human, we read papers over tea. Now 16 L40S GPUs OCR 30,000 in 30 hours. Progress?
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we used Chandra-OCR-2 by @datalabto: huggingface.co/datalab-to/cha…
Full write-up by @NielsRogge:
huggingface.co/blog/nielsr/oc…
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We just OCR'd 27,000 arxiv papers into Markdown using an open 5B model, 16 parallel HF Jobs on L40S GPUs, and a mounted bucket.
Total cost: $850 Total time: ~29 hours Jobs that crashed: 0
This now powers "Chat with your paper" on hf.co/papers

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