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Shepherd of Knowledge
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Shepherd of Knowledge
@ShepOfKnowledge
⚠️ 1A & 2A rights. Thought-provoking discussions to enlighten and inspire. Follow for insights; turn on notifications 🔔 for a journey into truth and freedom.
Earth Katılım Aralık 2022
3.4K Takip Edilen4.6K Takipçiler

@NoahEpstein_ How does turoquant do this if you use an open source LLM?
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Most of ai twitter pay $200/month for Claude.
In the coming months that probably won't need to.
google just open-sourced an algorithm called TurboQuant. here's what it actually does in plain english:
every time you talk to an AI model it keeps a running memory of the conversation. the longer you talk, the more memory it eats. eventually it slows down, gets dumber, and falls apart.
TurboQuant compresses that memory by 6x. makes the model run 8x faster. zero quality loss.
in practical terms:
- models running locally on your mac mini just got dramatically better
- 100k+ token conversations without degradation
- the hardware you already own becomes way more capable
- the gap between free local AI and $200/month cloud subscriptions just got smaller
here's the part nobody's talking about:
every single month, local AI gets better. open-source models get smarter. compression techniques like this keep dropping. hardware keeps getting cheaper.
12 months ago running a real AI model locally was a novelty. now it's genuinely useful. 12 months from now it might be the default.
google published the full research. no paywall. no API key. no subscription. anyone can use it.
the companies building for local-first AI right now are going to look very smart very soon.
Google Research@GoogleResearch
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
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Shepherd of Knowledge retweetledi

I don’t think people realize how much healthcare costs are driving big companies to fire and not hire.
It costs them $30k per family, per year for premiums and care. Most of that goes to the massive, vertically integrated insurance companies that send weekly bills that no one reviews in details. And it doesn’t include the company overhead to deal with it all. It’s usually the 2nd largest expense after payroll. Which is insane
It’s far easier to blame AI than it is to blame Healthcare costs.
Want to increase jobs, wages and improve affordability for every American ?
Break up the biggest insurance companies. Make divest non insurance companies. They don’t need thousands of subsidiaries. That’s how they game and abuse the system and increase costs for all of us.
Call your senator and tell them to support the BreakUp Big Medicine Bill by @HawleyMO and @SenWarren.
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@EvanLuthra @AskPerplexity
Do you know what it cost to get the certification?
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🚨BREAKING: ANTHROPIC IS GIVING AWAY THE SAME CERTIFICATION THAT DELOITTE IS MASS-TRAINING 15,000 EMPLOYEES TO GET.
It costs $0. You need a laptop. That's it.
It's called the "Claude Certified Architect."
Think of it like the AWS cert but for AI.
If you were around when AWS certs started, you know what happened. They went from "cool to have" to "you're not getting hired without one." That took about 5 years.
This is going to happen way faster.
Look at who's already moving:
Accenture - training 30,000 people on Claude
Cognizant - rolled it out to 350,000 employees
Deloitte - opened Claude access to 470,000 people
Infosys - anchor partner
These aren't startups experimenting. These are billion dollar consulting firms restructuring their entire workforce around Claude.
And the certification they need? You can take it right now from your bedroom.
Let me be real though. This is not one of those "watch 2 videos and get a badge" type certs that nobody respects.
This thing is hard.
60 questions. 2 hours. Proctored. Webcam on. No breaks. No googling.
They drop you into real scenarios like designing a customer support agent that handles refunds or setting up Claude in a CI/CD pipeline. The wrong answers look right on purpose. They're the exact mistakes real engineers make in production.
720 out of 1000 to pass.
People who took it are saying the agentic architecture and multi-agent orchestration sections are brutal.
Most of the exam is about building AI systems that actually work in the real world. Not prompting. Not chatting with Claude. Architecting production systems.
All the prep? Free. Anthropic put out 13 courses on their Academy. No paywall. The cert itself is free for the first 5,000 people. After that $99 per attempt.
How to get it:
1. Join the Claude Partner Network (free) → partnerportal.anthropic.com
2. Start the free prep courses → anthropic.com/learn
3. Register for the exam → anthropic.skilljar.com
4. Take the official practice exam
5. Book the real one when you're ready
It launched 10 days ago. Almost nobody has it yet.
That's the whole point. Get it before it becomes the thing everyone has.
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@futureradar_FR Jensen is saying this because he doesn’t want AI villainized so NVDA stays intact. His legacy is attached to this/
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🚨 VOTRE PDG VOUS MENT : L'IA N'EST PAS LA CAUSE DES LICENCIEMENTS.
Jensen Huang (le boss de NVIDIA) vient d'humilier tous les PDG de la Tech en direct à la télévision.
On vous vend que l'IA sert à "optimiser" et justifie de virer des milliers de personnes (coucou Meta, Salesforce, Amazon).
La réponse de Jensen ? "Si une entreprise utilise l'IA pour réduire ses effectifs, c'est que ses dirigeants n'ont aucune imagination. Ils sont à court d'idées."
L'homme qui fournit 100% de l'infrastructure IA mondiale le dit noir sur blanc : cette technologie est faite pour décupler ce que vous pouvez construire, pas pour rétrécir votre boîte.
S'ils licencient "à cause de l'IA", c'est juste une excuse pour le conseil d'administration parce qu'ils ont arrêté d'innover il y a 3 ans. Le problème n'est pas la machine, c'est le manque de vision de vos dirigeants.
Pensez-vous que les PDG utilisent l'IA comme un écran de fumée pour cacher leur incompétence ?
PS : on vient de sortir une vidéo sur la toute puissance de NVIDIA, lien en commentaire
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@r0ck3t23 He can say that.. but companies are doing more with less people because of AI. I see it first hand.
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Jensen Huang just told every AI leader in the room to grow up.
Stop scaring the public with science fiction.
Start communicating like the weight of civilization is on your shoulders.
Because it is.
Huang: “AI is not a biological being. It is not alien. It is not conscious. It is computer software.”
That single statement dismantles half the panic surrounding this industry.
The mainstream conversation is dominated by people projecting human malice onto math. Alien consciousness onto code. Existential dread onto a software architecture we built, we trained, and we can read.
Huang: “We say things like, ‘We don’t understand it at all.’ It is not true. We understand a lot of things about this technology.”
When builders tell the public they don’t understand their own creation, the public hears threat.
The state responds with control.
That is already happening.
Palihapitiya asked Huang what he would have told Anthropic during their regulatory clash with the Department of Defense.
Huang didn’t attack the technology.
He attacked the communication.
Huang: “The desire to warn people about the capability of the technology is really terrific. We just have to make sure that we understand that the world has a spectrum, and that warning is good, scaring is less good because this technology is too important to us.”
Warning shows risks, mitigation, why upside overwhelms downside.
Scaring says we might be building something that destroys us and we can’t stop it.
One builds trust.
The other invites regulation written in panic.
Huang: “To say things that are quite extreme, quite catastrophic, that there’s no evidence of it happening, could be more damaging than people think.”
Projecting catastrophe without evidence is not caution.
It is sabotage.
When your technology is embedded in national defense, the financial system, and healthcare infrastructure, your words carry structural weight.
If the architects act terrified of their own product, the response is predictable.
Governments step in. They restrict. They seize control of something they don’t understand because the builders told them to be afraid.
Huang: “There was a time when nobody listened to us, but now because technology is so important in the social fabric, such an important industry, so important to national security, our words do matter.”
Most tech founders have not internalized this.
You are no longer a startup founder disrupting an industry.
You are running infrastructure that nations depend on.
Your statements move policy. Your framing shapes legislation. Your tone determines whether governments treat you as partner or threat.
Huang: “We have to be much more circumspect, we have to be more moderate, we have to be more balanced, we have to be far more thoughtful.”
Huang did not ask for silence.
He asked for precision.
The leaders who cannot tell the difference will not be leading for long.
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Why are silver and gold down over “inflation fears”? Seems it should be the other way around @AskPerplexity
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@AndrewYang Probably 40-70 million. Job market will probably go from 145M participants to 70-90M
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Guys, the AI layoffs are very real and are about to rip through organizations throughout the economy. Be prepared - and sad for those affected because it’s going to impact millions of people.
Polymarket@Polymarket
BREAKING: Meta stock surges following reports they’re laying off 20% of the company due to AI.
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@Not_the_Bee @IterIntellectus @jack No… they’ll probably have Congress pass laws to protect us… so GPTs can’t give medial, legal, or other “professional” analysis.
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@IterIntellectus @jack Be careful. The pharma companies are gonna start unaliving people that talk about this
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this is actually insane
> be tech guy in australia
> adopt cancer riddled rescue dog, months to live
> not_going_to_give_you_up.mp4
> pay $3,000 to sequence her tumor DNA
> feed it to ChatGPT and AlphaFold
> zero background in biology
> identify mutated proteins, match them to drug targets
> design a custom mRNA cancer vaccine from scratch
> genomics professor is “gobsmacked” that some puppy lover did this on his own
> need ethics approval to administer it
> red tape takes longer than designing the vaccine
> 3 months, finally approved
> drive 10 hours to get rosie her first injection
> tumor halves
> coat gets glossy again
> dog is alive and happy
> professor: “if we can do this for a dog, why aren’t we rolling this out to humans?”
one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline.
we are going to cure so many diseases.
I dont think people realize how good things are going to get




Séb Krier@sebkrier
This is wild. theaustralian.com.au/business/techn…
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