[ M a c h i n e I n t e l l i g e n c e ] Machine intelligence is advanced AI that enables an agent to interact with its environment intelligently. Asset: https://
opensea.io/assets/ethereu
m/0x57f1887a8bf19b14fc0df6fd9b2acc9af147ea85/61607781561424174501651992510044236149332211184625251250863062985997352145230
… http://
MONTREAL.AI: Winning the #AGI Race #AGIFirst #MachineIntelligence #MontrealAI
RESEARCH
-

Machine Intelligence and the Race Toward AGI
By
–
-
Philipp Singer Reclaims Top Kaggle Competitions Spot
By
–
Philipp Singer (
@ph_singer
), aka #Psi on #Kaggle, reclaimed the top spot in the competitions category last month. Check out this previous (and still relevant) interview that highlights his insights into #MachineLearning and his remarkable journey. http://
ow.ly/Swy550MqQSs -
AI Impact Will Be 10% of Inflated Public Expectations
By
–
With all that said… it's obvious to me that the actual impact of the tech will be maybe ~10% of what the average person on my timeline expects. People have *ridiculously* inflated expectations, that aren't grounded in the actual capabilities (current or future) of these models.
-
Future AI assistants will be more capable and cheaper to operate
By
–
That means that the AI assistants of the near future will be considerably more capable than what we see today. And they will be a lot cheaper to run too, as model distillation techniques and architecture refinements keep catching up to raw model size.
-
Integrating LLMs with Symbolic Tools to Address Limitations
By
–
Likewise we can interface LLMs with an array of symbolic tools that can shore up their weaknesses — calculators, interpreters, discrete search programs, SAT solvers, etc.
-
LLM Performance Evolution: Beyond Generation to Knowledge Retrieval
By
–
It's clear that we're far from peak LLM performance — these models will keep getting better. It's also clear that pure generation is just the first step — we can largely alleviate the LLM reliability issue by using them as information retrieval devices over a knowledge corpus.
-

WiFi-based pose estimation raises new privacy concerns for HCI
By
–
Estimación de pose usando solo las perturbaciones de las señales WIFI!! Nueva interfaz humano-maquina ¿Nuevo problema de privacidad?
-
No explicit human ranking, model uses constitution for compliance
By
–
From what I understand there actually isn't any explicit human ranking of its generations, but analogous work is done by another model that determines how well its generations comply with a human-written "constitution".
-
Cohere Announces Year of AI Innovation and Upcoming Launches
By
–
We are incredibly excited about the fantastic work that our team has accomplished during the past year at Cohere. Learn what we have launched in this timeframe and what's coming next, right from Cohere Co-founder and CEO, @aidangomezzz
-

Claude discusses its own lack of self-awareness
By
–
Claude (a ChatGPT-like model from @AnthropicAI
) on the subject of its own lack of self-awareness: