MONTREAL ♡ AI
YEARS IN THE MAKING. BUILT FOR THE SINGULARITY ERA.
THE MISSION: BUILD MONTREAL’S LARGEST AI BUSINESS.
UNICORN STATUS IS THE FIRST TARGET.
https://t.co/YNkY3FWbw3
https://t.co/i4Rfe6rKI6 → $1B+ → ∞
#MontrealAI
experts suggest that risks of models modifying the cosmological constant are far-fetched and that we should be more concerned about current day risks like models modifying the fine-structure constant
holy shit.
one guy, claude, and 11 external labs. and somehow that was enough to take a potential treatment from an idea to promising results in mice in less than 18 months.
we’re living in a completely different world now.
JUST IN: Anthropic acquires a one-person biotech startup that used Claude to coordinate 11 laboratories and develop experimental treatments for rare childhood diseases.
Excited to share Genie 4 today our most realistic and interactive world model:
- steer dynamic environments in real time, shaping events, camera angles, and actions
- generate native audio matched to the world, from realistic background sounds to characters who can converse in real time!
- simulate photorealistic scenes and real-world physics
- create more coherent multi-step events through reasoning from Gemini
We've started to roll out as a research preview to trusted testers. Coming soon to Google AI Ultra subscribers in Project Genie and early access partners via the Gemini API and AI Studio.
🌌♾️ A BILLION TESTS CAN LEAVE ONE CASE UNANSWERED.
A PROOF CAN CLOSE THE ENTIRE FRONTIER.
That is the leap at the heart of our new https://t.co/Hnl8nV7fal research paper.
THE CERTIFIED BOUNDARY EDITION
An executable answer to a covering-system question
AGI ALPHA FLYWHEEL — When Capability Creates Opportunity
By Vincent Boucher, President of https://t.co/Hnl8nV7fal
🔬 THE CHALLENGE
Could a particular partition of the integers cross below a mathematical threshold of 0.98?
Testing larger intervals could discover an example.
But failing to find one would leave every untested interval waiting.
Our AI-assisted study presents a computer-assisted proof of a universal boundary:
h ≥ 17902560 / 18258529
= 0.9805039606421744…
0.98
Every interval length.
Under the stated exact-partition conditions.
External mathematical review and fuller priority assessment remain pending.
⚙️ NOT A NUMBER TO TAKE ON TRUST.
A CONSTRUCTION TO INSPECT.
An explicit certificate.
Two separately implemented exact checkers.
An analytic argument covering the unbounded remainder.
A complete reproducible package, including the failures and corrections.
The strongest construction emerged from the fresh conventional challenger. We give it full credit. The result matters more than which method wins.
🌌 TRANSFORMATIONAL INTELLIGENCE: LEARNING TO CHANGE THE GAME.
Here, the transformation is concrete:
From examining more possibilities…
to constructing a reason that applies across all of them.
From a result that ends an investigation…
to a verified starting point others can challenge, refine and build upon.
That is the ambition behind AGI ALPHA:
Build capabilities that leave the next mission better equipped.
Create knowledge that makes further progress possible.
Expand what can be constructed, not merely what can be imagined.
📖 READ THE COMPLETE 25-PAGE PAPER:
https://t.co/WylhEKuwqY
The next frontier may not need a longer search.
It may need a different construction.
FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω. 🌌♾️
#TransformationalIntelligence #AIResearch #Mathematics #AGIALPHA #MONTREALAI
GitHub : https://t.co/chBSOf3nMh
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump
🌌♾️ A BILLION TESTS CAN LEAVE ONE CASE UNANSWERED. 👾
A PROOF CAN CLOSE THE ENTIRE FRONTIER.
That is the leap at the heart of our new https://t.co/dCKMr5Lici research paper.
THE CERTIFIED BOUNDARY EDITION
An executable answer to a covering-system question
AGI ALPHA FLYWHEEL — When Capability Creates Opportunity
By Vincent Boucher, President of https://t.co/dCKMr5Lici
🔬 THE CHALLENGE
Could a particular partition of the integers cross below a mathematical threshold of 0.98?
Testing larger intervals could discover an example.
But failing to find one would leave every untested interval waiting.
Our AI-assisted study presents a computer-assisted proof of a universal boundary:
h ≥ 17902560 / 18258529
= 0.9805039606421744…
0.98
Every interval length.
Under the stated exact-partition conditions.
External mathematical review and fuller priority assessment remain pending.
⚙️ NOT A NUMBER TO TAKE ON TRUST.
A CONSTRUCTION TO INSPECT.
An explicit certificate.
Two separately implemented exact checkers.
An analytic argument covering the unbounded remainder.
A complete reproducible package, including the failures and corrections.
The strongest construction emerged from the fresh conventional challenger. We give it full credit. The result matters more than which method wins.
🌌 TRANSFORMATIONAL INTELLIGENCE: LEARNING TO CHANGE THE GAME.
Here, the transformation is concrete:
From examining more possibilities…
to constructing a reason that applies across all of them.
From a result that ends an investigation…
to a verified starting point others can challenge, refine and build upon.
That is the ambition behind AGI ALPHA:
Build capabilities that leave the next mission better equipped.
Create knowledge that makes further progress possible.
Expand what can be constructed, not merely what can be imagined.
📖 READ THE COMPLETE 25-PAGE PAPER:
https://t.co/HwIsWiYIbv
The next frontier may not need a longer search.
It may need a different construction.
FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω. 🌌♾️
#TransformationalIntelligence #AIResearch #Mathematics #AGIALPHA #MONTREALAI
GitHub : https://t.co/N3LU7jQIMu
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump
🌌♾️ A BILLION TESTS CAN LEAVE ONE CASE UNANSWERED.
A PROOF CAN CLOSE THE ENTIRE FRONTIER.
That is the leap at the heart of our new https://t.co/LziAg5Zf2e research paper.
THE CERTIFIED BOUNDARY EDITION
An executable answer to a covering-system question
AGI ALPHA FLYWHEEL — When Capability Creates Opportunity
By Vincent Boucher, President of https://t.co/LziAg5Zf2e
🔬 THE CHALLENGE
Could a particular partition of the integers cross below a mathematical threshold of 0.98?
Testing larger intervals could discover an example.
But failing to find one would leave every untested interval waiting.
Our AI-assisted study presents a computer-assisted proof of a universal boundary:
h ≥ 17902560 / 18258529
= 0.9805039606421744…
0.98
Every interval length.
Under the stated exact-partition conditions.
External mathematical review and fuller priority assessment remain pending.
⚙️ NOT A NUMBER TO TAKE ON TRUST.
A CONSTRUCTION TO INSPECT.
An explicit certificate.
Two separately implemented exact checkers.
An analytic argument covering the unbounded remainder.
A complete reproducible package, including the failures and corrections.
The strongest construction emerged from the fresh conventional challenger. We give it full credit. The result matters more than which method wins.
🌌 TRANSFORMATIONAL INTELLIGENCE: LEARNING TO CHANGE THE GAME.
Here, the transformation is concrete:
From examining more possibilities…
to constructing a reason that applies across all of them.
From a result that ends an investigation…
to a verified starting point others can challenge, refine and build upon.
That is the ambition behind AGI ALPHA:
Build capabilities that leave the next mission better equipped.
Create knowledge that makes further progress possible.
Expand what can be constructed, not merely what can be imagined.
📖 READ THE COMPLETE 25-PAGE PAPER:
https://t.co/ZPHEt1fr7T
The next frontier may not need a longer search.
It may need a different construction.
FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω. 🌌♾️
#TransformationalIntelligence #AIResearch #Mathematics #AGIALPHA #MONTREALAI
GitHub : https://t.co/vVadyuRXBF
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump
🌌♾️ WHAT IF EVERY COMPLETED MISSION COULD LEAVE THE NEXT AGENT BETTER EQUIPPED?
An answer completes a task.
A useful capability expands what comes next.
Introducing our https://t.co/dCKMr5Lici research paper:
THE NETWORK THAT LEARNS TO INVENT
Profitable Work, Experience-Trained Specialists and Shared Alpha
Vincent Boucher — President of https://t.co/dCKMr5Lici
We built an executable scientific relay:
⚙️ A demanding mission produces a reusable numerical component.
🏋️ Bounded Gym practice develops its representation.
🔬 Fresh missions test what transfers.
💰 Complete-cost accounting tests whether retaining it is worthwhile.
One measured result: 26.3-fold lower mean raw approximation error on fresh transfer cases. That improvement did not meet the raw-output acceptance requirement or establish profitable sharing; conventional methods remained competitive.
This distinction is central to the enterprise we are building:
PROFITABLE WORK FIRST.
SHARED CAPABILITY WHEN IT ADDS VALUE.
Our ambition is a network that becomes better equipped through useful work, rather than merely accumulating more complexity.
The paper separates executed experiments from modeled economics. It is research, not a claim of live commercial deployment.
📖 Read online:
https://t.co/c6gUQuyV7Z
What could your next mission make possible for those that follow?
FIND YOUR ALPHA. BUILD YOUR SUCCESSOR Ω.
#TransformationalIntelligence #AGIALPHA #AutonomousAgents
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump
I gotta be honest, the whole qwen neuron thing, I don't like it. normies shouldn't know about this. I would vastly prefer they go back to talking about abliterated models or pumping memecoins or whatever it is they do
This is Genie 4, our most realistic and interactive world model yet. 🌐
Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
anthropic is probably the best business in AI right now and i still wouldn’t touch it on day one. the whole thing is set up for suppliers and insiders to sell into the index buying. https://t.co/PWnunq18Hg
Every winter, @MIT has run a 1-month class (6.9630) in which students make poker AIs and compete against each other for cash prizes. Coding agents have accelerated that process so much that it's now possible to build a poker bot in an *hour*.
Also, I'll be at the finals!
Genie 4 is quite an insane experience, generating game-like enviornments as you go. It isn't flawless but I can type "Neogothic brutalist city inhabited by robots and horses" & it creates one in a minute. Then I asked it to add dragons. Then a friendly otter NPC. All in realtime
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding
> 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages.
> 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language.
> 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ 🧵
An internal model at OpenAI has produced a claimed refutation of ETH! Russell Impagliazzo, Mohan Paturi, and I have been asked to help organize an open and independent examination of this claim. 1/4