Jock Harkness

230 posts

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Jock Harkness

Jock Harkness

@jockharkness

Founder: https://t.co/Rc6DIdJPYS / https://t.co/c9YeOK0T0s

Australia Katılım Ekim 2018
364 Takip Edilen622 Takipçiler
Phoebe Myers
Phoebe Myers@neuramancer333·
It’s really difficult to tread the line between wanting to be known for your writing work (yet to come) and being a companion. Don’t get me wrong - many companions have since launched successful substacks and pivoted but merging the two from the beginning is tricky for the peruser. i can’t budge from this stance as previously (known as someone else; a delinquent baby in 2021) being exposed to the imagery of perfect bodies and the continual pressure to produce was unhealthy. i couldn’t engage on twitter at the time when the content became repetitive and i needed the intellectual stimulus. i left and worked at two law firms with an inkling that i would resent the cubist white walls of corporate hegemony. It kind of bore me, as did the people. People took their jobs unnervingly seriously without the awareness that companies - and therefore markets, currency, liquidity etc - are a strange, fictional paradigm we have created and have come to inhabit. Who even are you? Lol. I wanted to ask. While these systems function as “fictional” frameworks or collective imaginaries, they exert a tangible material reality unto all of us. And that material reality consists of our needs, desires, propensity for intimacy and capital. These systems represent only one ontological reality amongst various other possibilities. Despite an increasingly saturated and competitive market, i chose the reality that many others always find themselves coming back to. Like an old friend, i find myself outside of an office, here in my bed, talking to you.
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@aaronjmars
@aaronjmars@aaronjmars·
holy fuck, a hair dryer at a Paris airport broke Polymarket weather markets & made someone $34,000 richer - polymarket was settling Paris temperature bets on a single Météo France sensor sitting near the Charles de Gaulle runway perimeter - basically unguarded - the guy bought the long-shot outcome (like "22°C" when everyone expected 18°C) for pennies, since nobody thought it'd hit - then he walked up to the probe and briefly heated the air around it with a portable heat source, spiking the reading just long enough to register as the daily max - temperature snapped back to normal in minutes, the market resolved in his favor, and he cashed out - twice, on April 6 and April 15, before Météo France caught on and filed charges hyperstitions.
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@jason
@jason@Jason·
We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added
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DogeDesigner
DogeDesigner@cb_doge·
NEWS: Australia’s birth rate hits another record low 🚨 Fertility falls to ~1.48 in 2025 — **2nd straight record low since 1924** • Projected to drop further to ~1.42 • Far below the 2.1 replacement level Australia is now nowhere near replacement level. This is exactly the decline @elonmusk has been warning about for years.
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Alex Lieberman
Alex Lieberman@businessbarista·
Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money. Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.” When companies talk about being data ready for AI, this is what they’re implicitly saying. Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers. But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology. The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable. It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc. Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process. Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth. Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises. And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable. That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem. Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.
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Jock Harkness
Jock Harkness@jockharkness·
@superset_sh Does this mean I don’t have to use worktrees? They are so annoying and I gave up
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Superset
Superset@superset_sh·
introducing superset the IDE for the AI agent era stop waiting on coding agents run them in parallel
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Jock Harkness
Jock Harkness@jockharkness·
@vchennai2 @ycombinator @ArdentAI Nice work, compelling idea. I’ve been meaning to set up supabase branches but have gotten by so far without. Would Ardent be a substitute to supabase branches? Or additive? If it’s a substitute, how is it better?
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Vikram
Vikram@vchennai2·
I got into @ycombinator solo After 7 rejections Before the batch: -$2.1M raised alone -Sold 200K ARR -6M+ views I'm building the first database sandbox @ArdentAI We let you infinitely clone any Postgres DB in <6s so coding agents can test code on a 1:1 of prod Time to win
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Phoebe Myers
Phoebe Myers@neuramancer333·
People in the bio hacking community: I’m looking for the most brain maxing peptide. I would like to know - will taking peptides leave a mark on you?
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Bryan Johnson
Bryan Johnson@bryan_johnson·
I'm experimenting with 5-MeO-DMT because it may be most underrated longevity molecule no one is talking about. + Accelerated neurogenesis: a single dose more than doubled brain cell proliferation and neuronal regeneration in the hippocampus within 12 hours, alongside measurable increases in synaptic density and firing frequency in rodent models. + Proteomic reorganization: in human cerebral organoids, 5-MeO-DMT triggers rapid proteomic shifts favoring cellular reorganization and synapse formation. Early evidence of structural brain renewal at the molecular level. + Default Mode Network reset: The DMN calcifies with age locking us into rigid, repetitive patterns of thought. 5-MeO-DMT disrupts these patterns, restoring bottom up connectivity between sensory and creative brain regions. A forced return to neurological flexibility and youthfulness. + Systemic anti-inflammation: suppresses pro-inflammatory cytokines (IL-1β, IL-6, TNF-alpha) while upregulating IL-10, the anti-inflammatory signal. Mediated through the Sigma-1 receptor, suggesting a mechanism distinct from other psychedelics.
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Zach Yadegari
Zach Yadegari@zach_yadegari·
Cal AI has been acquired by MyFitnessPal 🚨 Henry and I started Cal AI as 17-year old high school students with one mission: make calorie tracking easier with AI. In just 18 months, we’ve helped millions of people lose millions of pounds. And we broke $50m in ARR along the way. We are at an incredible inflection point in history where ANYBODY can build a product that can improve lives and make millions. As founders, we get a lot of praise. The truth is that this would not have been possible without our incredible 30+ person team. We are so proud of what this team has accomplished, and are thankful to everyone that has been instrumental in Cal AI’s development and success. Cal AI will continue as a separate app from MyFitnessPal. The combined team will share resources to continue helping people achieve their fitness goals!
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Daniel
Daniel@danielgothits·
I have openclaw sending lowball offers on Zillow all day just to make boomers start panicking lol
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almonk
almonk@almonk·
ok hear me out - TikTok but for accepting PR suggestions from background agents running over your codebases… Doom scroll your codebase better?
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Jan
Jan@CreatedByJannn·
i love when ai says shit like this 😭 12-24months? we are shipping this today my g
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John Collison
John Collison@collision·
New season of Cheeky Pint starts tomorrow! First up: @dwarkesh_sp and I sit down with @elonmusk to discuss space GPUs and much more.
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Andrej Karpathy
Andrej Karpathy@karpathy·
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
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Jock Harkness
Jock Harkness@jockharkness·
@sama So today in Cursor, should I use: - GPT5.1 Codex High - GPT5.2 High This is getting out of hand lol
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Sam Altman
Sam Altman@sama·
GPT-5.2 is here! Available today in ChatGPT and the API. It is the smartest generally-available model in the world, and in particular is good at doing real-world knowledge work tasks.
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