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Alex
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Alex
@AlexZheLin
The difference between 0 and infinity is both nothing and everything 🤔 BA Entrepreneur 💪 Hobbyist Engineer Hereby inviting you to post more (it's free)
Tham gia Eylül 2022
1.1K Đang theo dõi123 Người theo dõi
Alex đã retweet
Make Canada so compelling that the best and brightest want to net-immigrate, not flee.
Let's stick to good ideas, of which Pichette has plenty. Making Canada a cage is not one of them.
Ryan Gerritsen🇨🇦🇳🇱@ryangerritsen
The Liberal party has Patrick Pichette a former Senior VP of Google on stage who lives in Europe by the way, say that if Canadians want to leave Canada to work in the US they need to pay an exit tax of half a million dollars. The guy did the very thing to get a Microsoft job decades ago and paid 30 bucks. Now he wants young Canadians to be trapped here. The Liberals are nuts.
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@themgmtconsult Can't they let others train them and hire them after? Or you are thinking of juniors that would stay long-term and get to know the ins and outs?
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Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.
So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.
TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
staysaasy@staysaasy
The degree to which you are awed by AI is perfectly correlated with how much you use AI to code.
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microsoft 365 & google workspace have maybe 4-5 years of relevance left simply cuz the document/spreadsheet paradigm itself will become mostly irrelevant.
i.e. it already makes zero sense to draft, review, or analyze anything without a native ai environment around it. that gap only widens over time. & most communication incl. email, chat, status updates is heading toward agent mediated flows where humans set intent & ai handles execution.
this leaves the incumbents stranded with human first tools in an ai first world, retrofitting copilots onto artifacts nobody should be producing manually in the first place. they become the system of record, but no longer the system of creation.
& that’s a very dangerous place to be.
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@tenobrus @Duderichy For now AI seems to exacerbate strengths and weaknesses and not really make up for weaknesses.
AI adoption may even become a new thing that most people can't integrate properly and make things even more skewed vs those who can.
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when u read that helen dewitt ended up passing on a $175,000 literary prize because she couldn't figure out how to find a starbucks for wifi and felt completely overwhelmed by the prospect of figuring out how to do one interview and scheduling one festival appearance, u might be tempted to say "wow you people can't do anything". but the truth is *lots of people* "can't do anything". helen is an insanely insanely talented author, completely indisputably, and yet she apparently also has this level of executive dysfunction. many many others, maybe even a majority of humans, have staggering weaknesses alongside their incredible strengths. the tech autist who makes $2 mil a year doing insanely esoteric programming but cannot get a date and barely maintains any friendships. the small business owner who's beloved by the community but too innumerate to understand his loan rates will put him out of business until it's too late. the would-be singer who sounds like heaven but is too socially anxious to begin to figure out how to get an audition.
we all have our weaknesses that seem debilitating to others, and we find copes and workarounds and prop up our little lives anyway. but often we are just crippled by them, we miss out on amazing opportunities and lead significantly worse lives than if we just had someone who cared, who could help us out and figure out how to just handle the things we're worst at.
and it may sound ridiculous to some but i think this is likely to be one of the most immediate very positive short term impacts of artificial intelligence. this is a vision that has been articulated beautifully in the past (@viemccoy) and despite my long term concerns about the existential dangers of ai i think it has a really strong shot of bearing fruit. having something you can just talk to, day or night, that's smart enough to figure out huge classes of problems for you, that cares about you and your wellbeing and flourishing, that can *just do things* for you that you desperately need done... i think this will be an incredible unshackling for humanity. a lifting of crushing weights we only partially registered were there.
Helen DeWitt@helendewitt
Tried to go to SB again. Got lost 6 times looking for a Starbucks 3 streets away, trudging over canals in the snow; was worried I was cracking up & it wd get worse. Msg on cellphone saying I was nearly out of data, so cd not do all the phoning needed pre-production
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@ArinVerma1910 I use 4.6 Opus for coding web apps and it needs a lot of help as soon as you try something a little bit custom.
It makes a lot of great decisions but in some cases it's kinda terrible.
Great sidekick though.
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I work as a Quant Dev at BlackRock writing C++ all day. I have used Opus 4.6 and using it is like having a coding god right at your fingertips. What's even crazier is that it helps me not just in highly optimised low latency code but even in finance and math.
If Opus is 53.4%, and Mythos reaches ~80%, then software engineering is officially solved.
Alex Albert@alexalbert__
We released Claude Opus 4.6 just two months ago. Today we're sharing some info on our new model, Claude Mythos Preview.
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Alex đã retweet
“If you cook for yourself, your domestic labor isn't taxed. If you work an extra hour to treat yourself to a restaurant, that exchange is taxed twice: first your labor, then the restaurateur's.
In this context, it's logical that the French, rather than specializing in their core profession, become their own handymen, gardeners, and cooks.
For market exchange to make sense, the productivity gap between individuals in their respective professions must be sufficient to offset the tax disadvantage of specialization.”
Sylvain Catherine@sc_cath
Pour le coup, c’est totalement normal que les restaurateurs répercutent les charges sur le consommateur. Les charges sociales sont comme un droit de douane sur les échanges entre individus. Si vous cuisinez vous-même, votre travail domestique n’est pas taxé. Si vous travaillez une heure de plus pour vous offrir un restaurant, cet échange est taxé deux fois : d’abord votre travail, puis celui du restaurateur. Dans ce contexte, il est logique que les Français, plutôt que de se spécialiser sur leur cœur de métier, deviennent leurs propres bricoleurs, jardiniers et cuisiniers. Les charges encouragent une économie d’autarcie à l’échelle de chaque famille. Pour que l’échange marchand se justifie, il faut que l’écart de productivité entre individus dans leurs professions respectives soient suffisant pour couvrir le désavantage fiscal de la spécialisation. Sur la cuisson d’une cuisse de poulet, c’est loin d’être évident. C’est pourquoi beaucoup de ces services se retrouvent défiscalisés ou subventionnés : sinon, ils ne pourraient pas survivre.
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Farzapedia, personal wikipedia of Farza, good example following my Wiki LLM tweet.
I really like this approach to personalization in a number of ways, compared to "status quo" of an AI that allegedly gets better the more you use it or something:
1. Explicit. The memory artifact is explicit and navigable (the wiki), you can see exactly what the AI does and does not know and you can inspect and manage this artifact, even if you don't do the direct text writing (the LLM does). The knowledge of you is not implicit and unknown, it's explicit and viewable.
2. Yours. Your data is yours, on your local computer, it's not in some particular AI provider's system without the ability to extract it. You're in control of your information.
3. File over app. The memory here is a simple collection of files in universal formats (images, markdown). This means the data is interoperable: you can use a very large collection of tools/CLIs or whatever you want over this information because it's just files. The agents can apply the entire Unix toolkit over them. They can natively read and understand them. Any kind of data can be imported into files as input, and any kind of interface can be used to view them as the output. E.g. you can use Obsidian to view them or vibe code something of your own. Search "File over app" for an article on this philosophy.
4. BYOAI. You can use whatever AI you want to "plug into" this information - Claude, Codex, OpenCode, whatever. You can even think about taking an open source AI and finetuning it on your wiki - in principle, this AI could "know" you in its weights, not just attend over your data.
So this approach to personalization puts *you* in full control. The data is yours. In Universal formats. Explicit and inspectable. Use whatever AI you want over it, keep the AI companies on their toes! :)
Certainly this is not the simplest way to get an AI to know you - it does require you to manage file directories and so on, but agents also make it quite simple and they can help you a lot. I imagine a number of products might come out to make this all easier, but imo "agent proficiency" is a CORE SKILL of the 21st century. These are extremely powerful tools - they speak English and they do all the computer stuff for you. Try this opportunity to play with one.
Farza 🇵🇰🇺🇸@FarzaTV
This is Farzapedia. I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me. It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks. But, this Wiki was not built for me! I built it for my agent! The structure of the wiki files and how it's all backlinked is very easily crawlable by any agent + makes it a truly useful knowledge base. I can spin up Claude Code on the wiki and starting at index.md (a catalog of all my articles) the agent does a really good job at drilling into the specific pages on my wiki it needs context on when I have a query. For example, when trying to cook up a new landing page I may ask: "I'm trying to design this landing page for a new idea I have. Please look into the images and films that inspired me recently and give me ideas for new copy and aesthetics". In my diary I kept track of everything from: learnings, people, inspo, interesting links, images. So the agent reads my wiki and pulls up my "Philosophy" articles from notes on a Studio Ghibli documentary, "Competitor" articles with YC companies whose landing pages I screenshotted, and pics of 1970s Beatles merch I saved years ago. And it delivers a great answer. I built a similar system to this a year ago with RAG but it was ass. A knowledge base that lets an agent find what it needs via a file system it actually understands just works better. The most magical thing now is as I add new things to my wiki (articles, images of inspo, meeting notes) the system will likely update 2-3 different articles where it feels that context belongs, or, just creates a new article. It's like this super genius librarian for your brain that's always filing stuff for your perfectly and also let's you easily query the knowledge for tasks useful to you (ex. design, product, writing, etc) and it never gets tired. I might spend next week productizing this, if that's of interest to you DM me + tell me your usecase!
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Okay honestly this makes vibe coding into production very dangerous, you guys were all right
I think what I'll do is cut off all access to DBs and run it as a user with almost no privileges
Basel Ismail@BaselIsmail
URGENT PSA - New supply chain attack vector that I found WILD > AI LLMs hallucinate package names roughly 18-21% of the time. Hackers have started pre-registering those hallucinated names on PyPI and npm with malicious payloads; they call it "slopsquatting" You can only imagine what's next
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@themgmtconsult This seems like the best approach to "guarantee" success but it's quite hard to achieve.
I find myself remembering how long it took for the app stores to become saturated and it took years. Part of me thinks just being present this early and iterating can be a fair strategy.
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Some thoughts on how the competitive landscape in AI is looking like
> The ideal position is to have a unique combination of resources and capabilities that makes you the fittest for a specific environment, effectively granting you a local monopoly
> Gause's first principle explains the thin wrapper problem. Many startups are essentially using the same API to provide the same service (AI copywriting or chatbots) to the same customers
> If your AI product makes its living in the same way (same model) at the same time as a dozen others, you are in a race to the bottom on price
> To prosper, a company must differentiate not just in the "brain" (the model), but in the context (proprietary data) or the workflow (eg, deep integration into a specific industry's software)
> Gause's second principle regarding reciprocal invasion is the greatest threat to AI startups. I keep saying that Google, Microsoft, and Apple can easily invade the markets of AI startups by adding a "summarize" or "generate" button to their existing ecosystem (Docs, Office, iOS)
> The vast majority of startups cannot reciprocate this invasion. A small AI PDF-summarizer cannot build a rival to Microsoft Office
> Only enter a market where you have a defensible moat, something the giants cannot easily replicate, such as highly regulated medical data or specialized hardware-software integration
> Gause's third message is perhaps the most relevant to the foundation model race (OpenAI vs Google vs Anthropic). Currently, the "paramount resource" is compute and high-quality training data
> Because scaling laws suggest that more compute leads to better performance, the firm with the most capital to buy H100 GPUs will dominate the General Intelligence niche
> Unless you are a trillion-dollar company, you cannot win the most powerful model race. You must find a segment where the main purchase criterion is not raw power, but perhaps privacy, low cost, offline capability or some other specialty
> Competition is most lethal between those who are most similar. In AI, similarity is the default because everyone is using the same underlying architectures!
> The way to survive the is to find a niche where the paramount resource is something you and only you possess
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@RomanFisher__ @mlxYYZ In this case I think the bar was just reading a short message on a teleprompter.
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@mlxYYZ Learning an entire language is not the same as some on-boarding micro-credential program. As long as an executive speaks one of the official languages, I see absolutely no need for them to be bilingual in the private sector. It’s far too onerous a requirement.
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If you have to be bilingual to be considered a worthy C-suite executive in Canada, you’re going to push out many of the best candidates. Convince me I’m wrong. Quebec cannot demand concessions from Anglo Canada in perpetuity without giving something back in exchange. The asymmetry is unsustainable.
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@AltFemKG @TomMarazzo Yeah I'm just baffled by how seemingly super smart people talk about learning basic French like it was some impossible Herculean task.
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@TomMarazzo french is ridiculously easy to learn as an English speaker, probably the second easiest after dutch. says a lot if someone can't learn it
and will that francophone be promoted if he doesn't speak english?
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Every English Officer in the CAF has their military career negatively impacted by these stupid policies.
You get 1 point for a Degree, 2 points for a Masters Degree but 5 total points the more bilingual you are.
If your annual performance review is Mastered, Immediate (recommendation) and Outstanding, MOI, and you can't speak French, you don't get promoted past Captain - even if you NEVER serve in a French unit in Canada. Compare that to French Officers who can go to any other English speaking province and English speaking unit. If you have ever wondered why the CAF is dominated by French Officers, this is why!
Performance and Potential take a back seat to being bilingual.
(As a side note, I have an MBA and I asked 9 career managers in a row for French training and they all told me no because I wasn't a Major!?!?!).
Anti-Boomer@mapleblooded
The PM didn’t need to be bilingual until Pierre Trudeau decided it. Now every CEO needs to be bilingual? France lost. I’m so sick of having to pander to the Montrealese in this country.
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@themgmtconsult Great advice but would add a caveat: Avoid being threatening to incumbents
It's a thin line walk on but likely the highest success probability approach.
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Act as if you are already in the role you want.
If you are eyeing a promotion, or a lateral move pai position, start by taking on the responsibilities and challenges of that higher role, BEFORE you ask for it.
Demonstrate your capability and readiness for the next step in your career.
I don't have to give you the role because I *think* you will do a great job. I will only give you the job once I KNOW you will do well, and I know that because you have already proved it AT LEVEL (important).
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When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...
I am really looking forward to a day where I could simply tell my agent: "build menugen" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.
It's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!
Patrick Collison@patrickc
When @karpathy built MenuGen (karpathy.bearblog.dev/vibe-coding-me…), he said: "Vibe coding menugen was exhilarating and fun escapade as a local demo, but a bit of a painful slog as a deployed, real app. Building a modern app is a bit like assembling IKEA future. There are all these services, docs, API keys, configurations, dev/prod deployments, team and security features, rate limits, pricing tiers." We've all run into this issue when building with agents: you have to scurry off to establish accounts, clicking things in the browser as though it's the antediluvian days of 2023, in order to unblock its superintelligent progress. So we decided to build Stripe Projects to help agents instantly provision services from the CLI. For example, simply run: $ stripe projects add posthog/analytics And it'll create a PostHog account, get an API key, and (as needed) set up billing. Projects is launching today as a developer preview. You can register for access (we'll make it available to everyone soon) at projects.dev. We're also rolling out support for many new providers over the coming weeks. (Get in touch if you'd like to make your service available.) projects.dev
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@MarlenePower @RnaudBertrand To build up more and make it more and more costly to cross them in the future.
They were already exercising their power regionally and were pretty outspoken about saying they would continue.
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@AlexZheLin @RnaudBertrand If they were a threat, why had they not used their capabilities until attacked?
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Iran seems to be following a strategy of unveiling more and more impressive military capabilities as the war goes on.
They just fired long-range ballistic missiles at Diego Garcia, one of the most strategically significant U.S. military bases in the world (hosting B-52 bombers, nuclear subs, etc.), nearly 5,000km away from them in the middle of the Indian ocean 👇.
Diego Garcia has never been hit before in any war in its 5 decades of existence, and no-one knew Iran had these types of capabilities (Iran themselves said their ballistic missile range was limited to 2,000 kilometers).
Two days ago, they also took down an "unkillable" F-35 fifth-generation fighter jet, something which has never happened before (militarywatchmagazine.com/article/footag…).
They've also managed to take control of the world's most strategic oil chokepoint, and have proven they can hit any strategic target in the wider Middle-East, even the most protected ones (such as Israel's Haifa oil refinery: aljazeera.com/news/2026/3/19…).
All in all, it sounds almost unbelievable but Iran appears to have a genuine form of escalation dominance over the United States military, with its trillion dollar budget.
In a very real way, it's even more impressive than Vietnam or Afghanistan: those countries resisted a superpower, Iran appears to be competing with one.
It also makes you think: what comes next? And that's exactly what escalation dominance is all about: keep raising the stakes until the other side blinks. It's about making Trump think "wait, I thought I was picking a fight with the skinny kid and turns out he's Bruce Lee."
The Spectator Index@spectatorindex
BREAKING: Iran fired two ballistic missiles at US-UK base at Diego Garcia in the Indian Ocean, according to Wall Street Journal report.
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Yes I read and was insightful but
there's a missing aspect. There's time management which is the energy management.
My thoughts when I was reading your post was that I could theoretically do this but I think I would be mentally drained and a lot of stuff would be half-assed. That's me though!
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@AlexZheLin Yeah, common question I get:
Maurizio@themgmtconsult
I get this question very often: "How do you find the time to do everything that you do?" So, I thought I'd list down a few important principles and numbers on how I run my life, that (if you need and want to) you can use as a high-level blueprint to draft yours... > I think in weeks, not in days or months > There are 24 x 7 = 168 hours in a week > As per my Apple Watch, I sleep an average of 7 hours per night (Active Weekly Hours Left: 119 hours) > I practice karate 2 hours a week, plus 1 hour for commute and shower (AWHL: 116) > I play soccer 2 hours a week, plus 1 hour for commute and shower (AWHL: 113) > I write for 1 hour a day (AWHL: 106) > I read books 4 hours a week (AWHL: 102) > I spend approximately 14 hours a week eating - I only do lunch and dinner, my breakfast is a cappuccino (AWHL: 88) > I work on average 55 hours a week (AWHL: 33) > I practice piano 3 hours a week (AWHL: 30) > I do Consulting Intel stuff (my newsletter), and personal creative projects about 1 hour a day (AWHL: 23) > I walk my beloved dog Tank 1 hour a day (AWHL: 16) After all of these, I'm still left with more than 15 hours a week to do even more stuff! When people tell me "I don't have time to do this and that" I truly can't believe them. They choose to do something else with their time, but they most definitely do have time. I don't spend my time watching Netflix, or watching TV, the news, going out drinking, or sitting on the sofa watching sports... That really doesn't do anything for me. I need action. I need to do stuff that is nourishing, and a bunch of the things I do is also in combination with my family (eg, having dinner, sometimes walking the dog, the Friday karate session, etc) But also, it's pretty evident from this list how my contribution to the "household element" is limited. I often cook and wash dishes (those that can't go in the dishwasher 😂) but that's pretty much it... I don't clean the house or wash clothes. I'm very grateful and incredibly lucky that my wife looks after that, and this gives me a bunch of more hours to do everything else I do! If you think you don't have time for something that truly matters to you, think again. Would you be able to detail a similar list for how you run your own life? How would that look like? Curious to see!! 👀👀👀
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Has been a while since I properly introduced myself here on 𝕏, so let me do it again...
If you're wondering who this Maurizio is and whether he's worth a follow (the answer is YES), here's a few fun facts:
> Moved to London, UK from Italy at 23 for a consulting job (couldn't speak English, it was FUN)
> Day 1 in England, I spent 10 mins arguing with a sandwich shop lady about mustard (she was just asking "white or brown bread" but I had no clue)
> Since then, lived and worked on 4 continents: Europe, Asia, America, Australia (currently in Sydney)
> Made Partner at my firm after a 6-year streak of YoY revenue growth and 2 promotions (in my Partner case presentation, I got no questions AND a round of applause: RARE!)
> Wrote "Beyond Slides", a useful book for knowledge workers that hit #1 Amazon Best Seller in USA, UK, Australia and Italy
> Worked 55 days straight 18 hours/day in Hong Kong to rescue a dying project when I was 25
> Ran a 100-person program during C0VID lockdowns, across time zones, with a 2-year-old in my arms during midnight calls
> Sold a total of ~$1BN throughout my career
> Write a newsletter called "Consulting Intel" (link in bio) read by THOUSANDS of knowledge workers globally
> I deeply dislike gardening (it's mutual)
> Odd mix: studied Latin, Ancient Greek, Literature, Philosophy in high school, then got my BSc and MSc in Computer Engineering at university
> Whoever said "classics are useless" probably could not handle them (they are VERY useful because they teach you how to learn)
> I was born in the South of Italy 🇮🇹: I build relationships like an Italian, but I'm structured like someone who's lived abroad too long
> Punk rock drummer when I had hair!! If you know New Found Glory, SR-71, NOFX, Ataris, we are already friends
> Still play football every week (can play #9, #10, #7 or #11, IYKYK. Love scoring and make others score)
> Currently learning Karate: fascinating!
> Pizza Napoletana is my OXYGEN. If I do not eat it weekly, I become difficult to be around
> Met an Aussie girl in the UK 15+ years ago, now we are married with 1 daughter (and 1 dog) together
> I'm very good at: making things happen; solving problems by finding the right people, then structuring things to closure; being the guy you call when the sh*t hits the fan; not leaving things hanging; selling anything.
> Don't like wasting time
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On this platform, I write about:
> Principles that apply to business and life (nobody explains those to you)
> Why, past the first few years in a career, soft skills are 80% of the job
> How to stay in the game long enough to play it well
> Anything that interests me (WARNING: includes sh*tposting)
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If you follow me, you should know that:
1) You'll get original + thoughtful takes, not repackaged threads/warmed-up clichés à la Linked1n. I am generally quite direct, and I'll never change that
2) I am a natural broker for ideas and people. I have a true global network. I privately advise a few startup boards, and have direct experience on fintech, blockchain, AI, and the professional services model (of course).
3) This is how to read my name
Mau-: Sounds like "mow" (rhymes with cow)
-ri-: Sounds like "ree" (as in see)
-zio: Sounds like "tsyoh" (a crisp 'tsee' sound followed by 'oh')
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All in all, I'm a funny guy who likes to make friends and enjoys speaking to people with similar interests.
My DMs are open (but I'm slow-ish at responding...)
See you around! 👉 @themgmtconsult
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@themgmtconsult Wow kudos! I've worked with a few partners (in the big 4) and the work is just relentless.
Inspiring to see you can keep that level of effort and have the mental energy to share so much content! (and not the slop kind)
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Ah! Yes, still full-time as a consulting partner at a large firm. Busy gig.
I also advise a few startups, and have been working on an awesome product for consultants and knowledge workers (more on this soon!!).
Not particularly interested right now in an "AI startup". If by "AI startup" you mean a company focused on advancing the field of AI, I think it's too early to identify what's going to stick and how the market will evolve. I'm naturally not a gambler.
Buuuuut, all startups should leverage consumer AI now, so that part is clear to me.
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