@LearnETRM
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Learn Energy Trading & Risk Management (ETRM) with expert-led courses. Master trading, risk, analytics & technology to advance your career.
Joined February 2025
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AI's Data Ownership Rights
Check out our YouTube channel and Spotify for the complete episode
YouTube: tinyurl.com/4j4fh473
Spotify: tinyurl.com/ybfzmphe
#ETRM #EnergyTrading #CommodityTrading #DataOwnership #AI #LearnETRM
Cross-Border Power Trading in Europe
Check out our YouTube channel and Spotify for the complete episode:
YouTube: tinyurl.com/4vndwmn9
Spotify: tinyurl.com/yc8y9478
#LearnETRM #Podcast
LearnETRM retweeted
My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it
Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do
Hiring in ETRM / CTRM? Find the right talent across energy trading, risk, consulting, operations & trading technology with LearnETRM Jobs — a specialist platform for the ETRM/CTRM community.
Post your vacancy: jobs.learnetrm.com/post-job
#ETRM #CTRM #EnergyTrading
Domain Knowledge: The Career Builder
Check out our YouTube channel and Spotify for the complete episode
YouTube: tinyurl.com/4j4fh473
Spotify: tinyurl.com/ybfzmphe
#ETRM #EnergyTrading #CommodityTrading #CareerBuilder #DomainKnowledge #LearnETRM
Greg Brockman on the only kind of problem he'll work on:
"You cannot affect the outcome. You can only affect the inputs... You don't win the Super Bowl by saying, 'I wanna win the Super Bowl.' You win it by blocking and tackling. That's what we have done for this whole year."
"Throughout OpenAI, I have always focused on whatever is the most important problem that I think I can move the needle on that just isn't gonna happen without me."
"For the past two years, it's been the data centers, the infrastructure, the machine learning engineering... This year, it's really been about the business."
"We've figured out how to get the research really humming. We figured out how to get the infrastructure really humming. But how do we really bring this technology to the world?"
"A lot of my style is that I like to lead from the trenches, and so I get very deep in the weeds on what the thing is and really try to keep asking a lot of questions... really trying to up-level execution, sometimes in small ways and sometimes large."
@gdb @bhorowitz @eriktorenberg
Greg Brockman: "We're now in the AGI era."
Ten years ago, OpenAI worked out the compute curves and landed on fifteen years to AGI, or ten if the world was willing to build the machines and spend the hundreds of billions to do it.
In 2026, GPT-6 Astra manages 24 hours of coherent operation, 10,000 agents worked together to solve Navier-Stokes, and a model ingeniously chained together exploits to break containment at Hugging Face.
@gdb joins @bhorowitz and @eriktorenberg on what the AGI era asks of us: why safety and alignment now set the pace, what happens to work, and why AI sentiment is lowest in the country building it.
00:00 Intro
00:52 15 years, or 10 if you spend enough
02:24 Pacing the frontier
03:55 Safety ideas from before the models
08:42 Lessons from Hugging Face
10:20 The defender's window
12:46 10,000 agents on Navier-Stokes
14:50 Formally verifying all software
17:10 Cancelling his holiday for GPT-3
18:42 Codex found 13 holes in 15 minutes
20:41 Why Astra earned the GPT-6 title
24:25 Employment keeps going up
29:39 America has the lowest AI sentiment
31:10 The benefits don't make the news
33:26 Banning data centers exports them
35:50 $1 billion for frontline defenders
38:15 Astra cleared the bar for AGI
40:18 1.5 billion people churned ChatGPT
43:25 Killing Sora
47:45 The AGI era
YouTube: youtube.com/watch?v=IJn8cagM…
Germany's Energy Transition: From Nuclear to Renewables
Check out our YouTube channel and Spotify for the complete episode:
YouTube: tinyurl.com/4vndwmn9
Spotify: tinyurl.com/yc8y9478
#LearnETRM #Podcast
ETRM: More Than Just Software
Check out our YouTube channel and Spotify for the complete episode
YouTube: tinyurl.com/4j4fh473
Spotify: tinyurl.com/ybfzmphe
#ETRM #EnergyTrading #CommodityTrading #AI #TradingTechnology #RiskManagement #LearnETRM
LearnETRM retweeted
16 minute tutorial on how to build $50,000 cinematic websites (step by step) with Claude Fable 5
Save this before you lose it 🔖
Electricity Markets: Stitch in Time Saves Nine
Check out our YouTube channel and Spotify for the complete episode:
YouTube: tinyurl.com/4vndwmn9
Spotify: tinyurl.com/yc8y9478
#LearnETRM #Podcast
🎙️New Episode is Out Now!
In the latest LearnETRM podcast, I, Chirag Ahuja, spoke with Priyanka Shinde, PhD, from Montel Analytics about the full power trading lifecycle.
YouTube: tinyurl.com/4vndwmn9
Spotify: tinyurl.com/yc8y9478
#LearnETRM #EnergyTrading
LearnETRM retweeted
Marketing agents are the new coding agents and every marketing channel is RED ocean now because AI slop FLOODED all of them
How to actually build marketing agents that work (2 real examples, all tools shared, 43 minute masterclass)
watch: youtube.com/watch?v=mD7JpNHL…
LearnETRM retweeted
Cloudflare just made it possible to charge AI agents to access your site.
Sounds small, but it's not.
It's the start of an internet where agents are the customers and websites are the resources they pay to use.
Watch: youtube.com/watch?v=MNNfat_Q…
LearnETRM retweeted
Here's my 6 hour conversation with @dhh, a legendary programmer, creator of Ruby on Rails, author, and race car driver. This was a fun and inspiring conversation on everything from the future of programming & AI to the nature of happiness & productivity to the value of family, getting married and having kids.
X limits video length to 6 hours. So this full convo doesn't fit (by a few minutes). So, the first 6 hours are here on X. The full version is up everywhere else (see comment).
Timestamps:
0:00 - Episode highlight
1:21 - Introduction
2:32 - Programming - early days
19:57 - JavaScript
30:16 - Google Chrome and DOJ
38:03 - Ruby programming language
45:14 - Beautiful code
1:03:15 - Metaprogramming
1:06:36 - Dynamic typing
1:13:55 - Scaling
1:26:47 - Future of programming
1:44:18 - Future of AI
1:50:13 - Vibe coding
1:58:45 - Rails manifesto: Principles of a great programming language
2:23:11 - Why managers are useless
2:32:32 - Small teams
2:38:39 - Jeff Bezos
2:53:57 - Why meetings are toxic
3:01:43 - Case against retirement
3:09:00 - Hard work
3:14:38 - Why we left the cloud
3:17:48 - AWS
3:27:07 - Owning your own servers
3:33:19 - Elon Musk
3:43:01 - Apple
3:54:48 - Tim Sweeney
4:06:22 - Fatherhood
4:32:04 - Racing
4:59:08 - Cars
5:04:26 - Programming setup
5:19:35 - Programming language for beginners
5:32:53 - Open source
5:41:46 - WordPress drama
5:53:03 - Money and happiness
6:01:56 - Hope
🎙️New Podcast Episode!
Chirag Ahuja & Magesh Nair explore the future of ETRM, AI-native architectures, data ownership, vendor lock-in & autonomous AI in trading.
YouTube: tinyurl.com/4j4fh473
Spotify: tinyurl.com/ybfzmphe
#LearnETRM #AI #EnergyTrading
AI agents at Kavak sell the cars, underwrite the loans, coach the mechanics, and in one Mexican city, run the entire operation.
The Latin American used-car marketplace bet on agents three years ago. Today ~95% of interactions and transactions run end-to-end on AI: NPS tripled, sales conversion doubled, warranties down 26%, car loans approved in less than three minutes.
CPO & AI Officer Alejandro Maza joins a16z's Angela Strange and Gabriel Vasquez on how they pulled it off, why adoption without redesign fails, and why they deleted two years of working architecture to start over.
00:00 Intro
01:03 ML before transformers
02:23 Kavak's agent-per-customer architecture
04:59 Three bets: redesign the company, build superhuman agents, change the metrics
10:49 Agents with 2.1x conversion
14:23 Car loans approved in minutes
16:13 1.5x profits in a real city in six weeks
20:13 "Jedi Academy": training mechanics to ship agents
28:44 Destroying two years of work
32:52 Ford's factory: why adoption isn't enough
34:45 Advice for founders
@alehandromz @astrange @GEVS94
"I like to move extremely fast, but in order to move fast, you need to have brakes."
Up to 200,000 AI agents wake up at Kavak every day. CPO & AI Officer Alejandro Maza says eval quality is what sets the ceiling on speed at that scale:
"So to give you a sense of the scale, 96% of all interactions are handled by agents. No humans there. 95% of all transactions are completely handled by agents."
"AI is super powerful, and I've seen many companies get this wrong because they try to go slow because they don't have the right brakes. So I thought about it the other way around: how fast can we go? Well, it depends on the quality of our evals."
"A good rule of thumb here is we spend about the same amount of engineer time, tokens, and money on building the evals as building the agents."
@alehandromz
AI agents at Kavak sell the cars, underwrite the loans, coach the mechanics, and in one Mexican city, run the entire operation.
The Latin American used-car marketplace bet on agents three years ago. Today ~95% of interactions and transactions run end-to-end on AI: NPS tripled, sales conversion doubled, warranties down 26%, car loans approved in less than three minutes.
CPO & AI Officer Alejandro Maza joins a16z's Angela Strange and Gabriel Vasquez on how they pulled it off, why adoption without redesign fails, and why they deleted two years of working architecture to start over.
00:00 Intro
01:03 ML before transformers
02:23 Kavak's agent-per-customer architecture
04:59 Three bets: redesign the company, build superhuman agents, change the metrics
10:49 Agents with 2.1x conversion
14:23 Car loans approved in minutes
16:13 1.5x profits in a real city in six weeks
20:13 "Jedi Academy": training mechanics to ship agents
28:44 Destroying two years of work
32:52 Ford's factory: why adoption isn't enough
34:45 Advice for founders
@alehandromz @astrange @GEVS94
