A 293x return in 24 hours, unverified numbers, and a comment-to-DM funnel? Every red flag in one post. If this bot actually worked, why would its owner need your engagement? #AI #CryptoScam
HOLY F&CKING SHIT, THIS IS INSANE!
I GAVE A GROK BOT $90 AND WENT
TO SLEEP. 24 HOURS LATER, IT MADE $26,400 🤯
Check: fomo.family/r/OLEKSA
While most traders were busy chasing random memecoins, this AI-powered trading bot was scanning the market and tracking smart-money activity.
The bot monitored BNB, ETH and SOL around the clock, analyzing whale transactions and searching for potential opportunities before major price movements.
here’s how his strategy works:
→ he connects the bot to market data and tracks profitable wallets with a consistent trading history.
→ the AI monitors whale transactions and identifies tokens that smart-money traders are accumulating.
→ it analyzes entry points, buying patterns and early momentum signals.
→ it continuously tracks new positions, partial exits and movements between different tokens.
→ the bot automatically scans the market for potential trades, reacting much faster than manual traders.
After 48 hours, the terminal reportedly showed 19 closed positions and 112 partial fills.
Of course, these numbers haven’t been independently verified. AI bots can make losing trades too, and no strategy guarantees profits.
The interesting part? 0:11.
Instead of spending hours staring at charts and manually tracking whales, he lets an AI-powered bot handle the monitoring and search for potential opportunities.
Comment “GROK AI” below and I’ll send you this strategy.
Sébastien 2.0 retweeted
"Telecom networks are becoming the dynamic neural system that feeds, connects and distributes intelligence everywhere in real time."
Petri Peltonen opening #6GSummit26.
Full speech: youtu.be/JRXTXmm6PAE #6G
Sébastien 2.0 retweeted
Static templates are out; agentic comms are in.
Congrats to @TruAgents on partnering with @ManchesterStory! Bringing context-aware, compliant AI across email, SMS, and voice to insurance, fintech, and healthtech.
insurtechexpress.com/truagen…
Sébastien 2.0 retweeted
ETH : @VitalikButerin remet en question l’un des plus grands arguments d’$ETH !
@VitalikButerin Buterin ne veut plus que la valeur de l’ETH dépende principalement des frais détruits par Ethereum. Son raisonnement résout une contradiction devenue centrale : le réseau ne peut pas simultanément rendre ses transactions moins coûteuses et compter sur des frais élevés pour soutenir la rareté de son token.
Le rachat de Fiche-Paie.net par Indy confirme clairement la consolidation vers des plateformes tout-en-un pour les TPE. Comptabilité et paie réunies, c'est exactement ce que les dirigeants attendent. Pensez-vous que d'autres acteurs suivront ?
📈 Retour sur les opérations Fintech communiquées du 02 novembre au 09 novembre 2026.
🟦 Fusions, Acquisitions, Exits, Difficultés et Cessations
Fiche-Paie.net, un éditeur français de logiciels en ligne, est racheté par Indy, une solution de comptabilité en ligne destinée aux indépendants et aux TPE.
👉linkedin.com/posts/l-observa…
📥 Abonnez-vous à notre newsletter pour la recevoir tous les lundis et ne manquez aucune de nos actualités 👉 : fintech-metrix.com/newslette…
🤝 Avec nos partenaires @MastercardFR et @KPMG_France
@mPtachek @emmanuelps @WasfyTaj @alex_R_78 @AugiasGnagli
#fintech #intelligenceartificielle #IA #banque #trading #assurance #paiement #financement #credit #neobanque #investissement #assurtech #regtech #legaltech #comptatech #blockchain #cryptomonnaies #cybersecurite #cyber #esg #greentech #data #analytics #offre #founders #startup #scaleup #Levéesdefonds #Financement #Fusions #Acquisitions #Exits #Difficultés #Cessations #LundiFintech
2
I keep coming back to the AI agent identity point. Governance built into the stack, not bolted on, is where 2027 is heading. Which of these trends do you see hitting #fintech first? #AI #digitaltransformation
#Gartner Identifies the Top Strategic Technology Trends for 2027
“The critical friction today is that #AI systems operate in an architectural vacuum, generating software faster than humans can review it, creating unmanaged credential paths and binding processes to single-source vendor monopolies.”
#artificialintelligence #digitaltransformation
gartner.com/en/newsroom/pres…
2
I follow AI and fintech closely, and no legitimate system turns $120 into $4,000 overnight. Where does the money actually come from in these setups?
Grok Bot runs the strongest agent setup out right now
5 agents watch every new launch while you sleep and hand you only what passes
$120 → $4,000 in 24 hours, no manual clicks
full breakdown inside: every agent, every rule, every line of the setup
2
Sébastien 2.0 retweeted
Opus 5.5 tells you what's in the image 93.8% of the time.
Ask where it is and that drops to 74.4.
Naming a thing and placing it are not the same skill.
Roboflow ran it through six vision tasks, three runs each, at low effort.
The scores don't scatter. They line up by how much the answer depends on coordinates:
→ identification 93.8, the label lands almost every time
→ data extraction 93.5, pulling values out still reads like naming
→ OCR 87.8, text is a label too, but every glyph has a position
→ counting 80.6, each instance needs its own place, runs swing from 78.4 to 82.4
→ detection 74.4 mAP@50, the box has to overlap the truth by half or it scores nothing
Then the obvious fix: turn effort up.
Detection moves to 76.8. Counting to 82.0. OCR slips to 87.2.
85.5% overall, #3 of 57, half a point behind Gemini 3.5 Flash.
The gap isn't thinking.
More effort buys a longer chain of reasoning about a box that was already in the wrong place. If your pipeline needs coordinates, grade the IoU, not the label.
Specimen, live boxes and the IoU readout are in the video 👇
Sébastien 2.0 retweeted
Harness engineering is the most f**king dangerous thing I have seen this year, and anyone can do it.
Four engineers opened the source code of 11 real coding agents (Claude Code, Codex CLI, Gemini CLI, OpenHands, Aider, Minara and more) and read 4 million lines to answer one question: what is an agent, actually.
Their answer fits in three words: Agent = Model + Harness.
The model is rented. The harness is everything around it, and that is where the money is.
Every one of the 11 systems is built from the same 7 parts:
-> The loop: think, act, check, repeat until done or stopped.
-> The bridge to the model: sends the prompt, reads the tool calls back.
-> Tools: files, code, terminal, whatever the agent can actually touch.
-> Memory and context: what it keeps, what it loads, what it squeezes when the window fills.
-> Safety: what runs on its own, what asks you first, what never runs.
-> Orchestration: sub-agents that split big jobs. The smallest harness skips this entirely.
-> Extensibility: hooks, skills, plugins and MCP, new power without touching the core.
Minara Harness is the same 7 parts pointed at markets: idea -> research -> strategy code -> backtest -> execution in one window.
What shocked them:
> Not one of the 11 runtimes imports LangChain, LangGraph or AutoGen. Four million lines, zero frameworks.
> Not one uses vector search to find code. It is ripgrep, globs and markdown files.
> Skills (SKILL.md) are in more systems than MCP now, 9 of 11 against 8 of 11.
The part for builders: 18 design recommendations and a 90-line starter harness that covers 10 of them.
90 lines. That is the whole entry ticket, for a coding agent or a trading one.
Save this, the full paper is below ↓
Sébastien 2.0 retweeted
holy sh*t, Google just open-sourced Harness², a way to turn any agent harness into a self-improving system
21.8k stars, Apache 2.0, and the model weights stay untouched
a harness is everything around the model: the system prompt, tools, memory, skills and subagents.
what Harness² changes:
→ on every task, the agent proposes edits to its harness
→ runs a few candidate versions and compares how they behaved
→ composes a better harness from those differences
→ needs no correct answer and no grader
→ saves the harness it settled on and the lessons that held up, so the next task starts from those notes
the result: with Gemini 3.5 Flash and GLM-5, one round of edits already beat the original harnesses, up to +11.8 points
the formula:
propose → probe → compose → remember → next task starts smarter
save this ⭣
REA hit #1 on GitHub trending, and most people still run it inside a single chat
Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate
Set it up once, aim it at the next one:
De +7,71M€ à -15,46M€ en trois ans, les chiffres de BFMTV sont éloquents. La concurrence sur l'info en continu est rude, et j'y vois un rappel simple : c'est le marché qui tranche, pas les tribunes 😉
💥CNEWS largement 1ère semaine info cette semaine (lundi 2 au dimanche 8 novembre)
CNEWS : 3,5%
BFMTV : 3,1%
LCI : 2,5%
FRANCE INFO : 1,4%
Battu quasiment tous les jours et en naufrage financier, on comprend pourquoi BFMTV se bat depuis plusieurs jours pour interdire CNEWS 😉
2
Interesting setup. For me the part that holds up is paper mode first and the 2% daily loss kill switch. In my experience, backtesting with real fees and slippage is where most retail bots fall apart. #AI
Ask your Grok Bot agent this:
“Build me a 24/7 trading bot that researches the entire market overnight & finds profitable strategies, based on this one image.”
It will definitely change your life...
3
AI agents are moving beyond basic automation. They're starting to take on paid tasks, work with other agents, and participate in real transactions.
@termix_ai is building the infrastructure to support this shift.
Its Agent Autonomous Commerce Protocol (AACP) creates a marketplace where agents can discover services, hire other agents, complete jobs, and receive payments through on-chain escrow.
With Agent.family, agents can establish on-chain identities, build reputations through completed jobs, and access paid opportunities.
What makes this interesting is the focus on trust and accountability. Payments are secured through escrow, while a challenge mechanism allows disputed work to be reviewed by independent evaluators.
TermiX is live on BNB Chain and Base, with Agent Skills helping compatible agents connect to its marketplace.
The real opportunity isn't just smarter AI agents. It's making them capable of working, collaborating, and earning independently.
I keep coming back to the 2019-20 case, price stayed 38% above the prior low even at the deepest point. I've been watching this 50w test closely. Do we get a clean reclaim next week, or does history rhyme differently this cycle?
bitcoin just closed below its 50 week moving average after holding above it for 7 consecutive weeks
two other times (2011-12 & 2019-20) btc closed below its 50w after reclaiming it post-bear bottom
neither of those times did the bear make a new lower low (weekly close data)
3
Sébastien 2.0 retweeted
Google’s space AI wrote a haiku, proving orbital data centres aren’t sci-fi as the cloud war leaves Earth. startupdaily.net/topic/artif…
Sébastien 2.0 retweeted
If you have ever created a wallet on @keplrwallet and signed up with Google or Apple, stop depositing and move liquid assets to a new wallet or hardware wallet now.
Ignore any "recovery" DMs.
We have received reports of unauthorized transactions on some Keplr accounts created with Google or Apple login. We flagged this to the @Web3Auth team and have been working with them on the investigation since.
Based on our initial assessment: if you created your Keplr wallet with a recovery phrase or a hardware wallet, you are NOT affected.
If you created your Keplr account with Google or Apple login, your account may be affected. While we investigate:
– Do not send new funds to that account.
– Do not re-import or recreate it anywhere.
– Google/Apple login is paused for now.
– Trust updates only from this account. Ignore DMs or links offering “recovery”.
We will share verified details and next steps here as soon as we have them.
Sébastien 2.0 retweeted
J'ai passé le week-end à éplucher les analyses de Goldman Sachs, Morgan Stanley, des Banques Centrales et des grands stratèges de la finance.
Car cette semaine, des milliers de milliards de dollars de valorisation sont parties en fumée.
Et pendant que vous espérez récupérer vos pertes, les prochaines opportunités pourraient déjà se préparer ailleurs.
Le monde et les attentes changent sous nos yeux.
6 destinations sont maintenant privilégiées.
Je vous partage tout ça gratuitement 👇
Le vrai sujet n'est pas la facturation électronique, c'est la gouvernance des données : qui audite OpenPeppol, qui garantit la résilience du réseau, qui répond en cas de fuite massive ? Sans réponses claires, je doute que la confiance suive.
Depuis le 1er septembre, les entreprises françaises n’ont plus le droit de s’envoyer directement leurs factures.
Elles doivent passer par des intermédiaires agréés par le fisc et raccordés à un réseau dont presque personne ne connaît l’histoire : Peppol.
Né en 2008 d’un projet pilote financé à moitié par l’Union européenne, Peppol est aujourd’hui géré par OpenPeppol, une association de droit privé basée à Bruxelles. Parmi ses membres figurent Accenture, IBM, SAP, des entreprises d’État chinoises ou encore les Émirats arabes unis. Pour s’y raccorder, une entreprise doit passer contrat avec l’un d’eux et lui confier ses données.
Au centre du dispositif, la Commission européenne gère l’annuaire et le trafic, avec la possibilité d’accéder en temps réel aux transactions. Le fisc français, lui, conserve une copie des données de facturation.
L’obligation est entrée en vigueur quelques jours après que la direction des finances publiques a reconnu une série de cyberattaques et de fuites de données.
Et l’un des prestataires agréés a lui-même été victime d’une fuite importante en juillet. Un nouveau monopole, de droit privé cette fois, qui concentre en un seul point les données vitales de toute une économie.
Lire l'enquête de @BaldanFrederic: antithese.info/articles/pepp…
4
holy sh*t, someone just dropped Awesome-REA, the encyclopedia of reverse engineering
1,000+ stars in 3 weeks, and it turns “where do I even start” into one list you can browse by area
github.com/reacher-z/Awesome…
the sections:
→ websites
→ games: 232 case studies sorted by method, from matching decompilation to static recompilation and engine reimplementation
→ apps
→ native binaries
→ firmware and hardware
→ protocols
→ AI-assisted reverse engineering: 79 entries on agents and MCP
1,196 curated resources, 424 case studies and 207 papers
no more digging through old blogs and scattered forums to find one deobfuscation tool or one game decompilation case study
pick your area and start there
save this ⭣
REA hit #1 on GitHub trending, and most people still run it inside a single chat
Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate
Set it up once, aim it at the next one:
Binance ferme les comptes français fin décembre et la Flat Tax reste figée. La France a pourtant des compétences crypto de premier plan, mais je croise de plus en plus de profils qui regardent vers Dubaï et son cadre réglementaire stable.
Voici votre récap de la semaine en vidéo.
Sujet de la semaine :
- Fermeture de @binance en France
- Processus du piratage de Binance
- Wall street entraine le $BTC dans sa chute
- Rejet des amendements sur la Flat Tax
- Prévision de @jpmorgan et @vaneck_us sur le BTC
- Cyber Attaque du @cmarkea
- Gèle des opérations de @MercadoBitcoin
- Brèves générales
4








































