bobby

Progrediens

[bobby @JoeCooper2070]

@HermesAgentTips DS V4 Flash has been the most enjoyable due to its speed but I had to turn memory/skill write approval on, it was creating 8-10 skills a day 🫪

Sol and Luna great too

[bobby @JoeCooper2070]

Le seul truc embêtant avec les modèles plus petits c’est qu’ils prennent trop au pied de la lettre les guidelines pour stocker des infos dans memory.md et a créer des skills pour tou. DS flash m’a créé 5-6 skills aujourd’hui et éditait memory.md parfois sur plusieurs tasks d’affiliées. Ça n’arrive pas/peu avec des modèles plus gros.

[bobby @JoeCooper2070]

@agence_sparkana Il chauffe depuis ce matin, c'est un régal

[bobby @JoeCooper2070]

@leploutos Ok, l’inverse ici. Le retrieval est rapide pour un modèle qui envoie des requêtes à ton obsidian ? T’es satisfait globalement ?

[bobby @JoeCooper2070]

@mathieuhq Tu gères comment l’accès avec Tailscale quand t’as un VPN générique qui tourne ? J’ai toujours été obligé de le couper pour que Tailscale fonctionne bien

[bobby @JoeCooper2070]

@mathieuhq https://t.co/W7vQBKENxC

T’es même à -90% pendant 7j chez Nous Research

[Nous Research @NousResearch]

DeepSeek V4 Flash 0731 is now 90% off on Nous Portal for the next 7 days, in partnership with @novita_labs.

At this discounted price, it is over 1000x cheaper than Fable 5 on comparable tasks while still beating it on Terminal-Bench 2.1.

Try it today at https://t.co/4KFwhsReyA

[bobby @JoeCooper2070]

@iamsupersocks C’est vrai que récemment les modèles américains voulaient plus rien faire, les chinois ne s’embarrassant de pas grand chose ça évite de se fâcher

[Freehand.ai @freehand_ai]

We saved $260M in cash for cos. like Meta, Unilever, and J&J by finding baseless charges across 19M+ invoices.

Now, we've raised $75M to extend our guarantee: if we can't find $500K in overpaid invoices, we'll pay you $10K.

Book a demo: https://t.co/FbUCc391D5

------------------------

How it works ⬇️

PROBLEM:

A Fortune 500 gets a million invoices a year. Most of them are for a couple hundred dollars.

Checking one properly means opening the contract, pulling the rate card, matching the PO, and hunting down the bill of lading that proves the shipment moved the way the carrier says it did.

All of that work to defend $200. So nobody does it.

The pile goes to a human. The human audits only a sample (12%) and pays the rest (88%) blindly. That's where the money goes.

At a pharma co, we found an uncontracted surcharge billed across global carriers for two years. $26M nobody questioned, because every individual line looked ordinary.

Each surcharge is small enough that escalating it costs more than paying it. And there are a million of them.

------------------------

SOLUTION:

Freehand’s AI reads everything: every line of every invoice, against every contract, rate card, transaction data, bill of lading, warehouse record, time sheet, and email exchange between you and the supplier. It also analyses every past invoice, and transaction data with that supplier,
ever.

It holds all of this knowledge in a Context Graph. When an invoice arrives, it knows what you should pay, what actually shipped, if the service was delivered or not, what the SLA was, and what this supplier billed you for the same service last quarter.

Then it proactively:

> writes up the dispute with the evidence attached
> emails the supplier
> calls her when the email goes quiet
> Slacks your purchases team for more information
> Follows up until the invoice comes back corrected.
> Approves the correct invoice
> Pays it across different currencies and tax structures
> And accrues the right amount to your general ledger

Freehand’s will do all of that to recover $20, because it is doing it across all millions of invoices at the same time, saving 5-10% of company spend with 100% SOX compliance and auditability.

-------------------------

🚨 RT + reply "FREEHAND" and we'll send you the AI upskilling guide that's already helped 750+ displaced workers move into more secure, higher-paying AI-native roles through Freehand's Transition Bootcamp.

[Miko @Mho_23]

f*ck it. I'm LEAKING my entire Seedance 2.0 AI UGC System

i cracked the formula for generating seedance 2.0 videos that look hyper realistic

this has been gatekept for a while, but i'm finally sharing my FULL system with you..

here's what you're getting:
- my prompting method for realistic voices (works every time)
- my realistic human movements & breathing claude skill (this is key for realistic videos)
- my exact method on how to make infinite length videos that maintain consistency
- how to get AI tools for dirt cheap (90% off)

RT + reply 'UGC' and i'll send you the step-by-step system (must follow so i can dm)

[bobby @JoeCooper2070]

@boringmarketer Let’s go

[bobby @JoeCooper2070]

@Trader_XO What about Gbrain as the knowledge base ?

[bobby @JoeCooper2070]

@Innerdevcrypto The next question is where ?
What’s the perfect combination of the state not going rogue on you/your property; weather and $/acre. Hard to spot

[bobby @JoeCooper2070]

@ericdjav Claude

[bobby @JoeCooper2070]

@MichLieben Send

[bobby @JoeCooper2070]

@itsalexvacca Prompt

[Hugo Mercier @hugomercierooo]

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿.
No setup. Secure. Infinitely scalable.

We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱.
After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone.

RT and comment “Twin” — first agents on us. 👇

[bobby @JoeCooper2070]

@hugomercierooo Twin

[bobby @JoeCooper2070]

Track caloric intake and macro for 2 weeks at the very least to get a grasp of what you really eat
Use protein for muscle synthesis (1.5/2g/kg/day range)
Use carbs for good sleep and to replenish muscles after lifting
Use fats for calories
Add avocados, nuts, dark chocolate, heavy cream, salmon and rib eye to boost caloric intakes
Whole milk > water for your shakes
Heavy lifts and flexibility work to remain a functional human being
Once you are big enough focus on weak links to avoid being stuck in the injury loop