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Spoke to a candidate yesterday who told me this podcast interview was very helpful to understand what we do at Parable, and why it matters. So reposting it here: allisonpickens.substack.com/p/mastering-co…
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Alex Terrien
841 posts
Alex Terrien
@aterrien
just a guy trying to figure it out. I rarely write at https://t.co/AVV6HDLbVZ. Company is https://t.co/x5vOrGGzwF
Paris, France Katılım Mayıs 2010
379 Takip Edilen1.2K Takipçiler
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Tesla@Tesla
TERAFAB: the next step to becoming a galactic civilization Together with @SpaceX & @xAI, we're building the largest chip manufacturing facility ever (1TW/year) – combining logic, memory & advanced packaging under one roof. To harness as much power as possible from the Sun, we need to send 100 million tons of solar capture into space – per year. This requires massive scale. – Capability to launch millions of tons of mass into orbit – Solar-powered AI satellites – Millions of @Tesla_Optimus robots to help build it out All of these need chips: 100-200GW of chips for Optimus alone, plus terawatts for solar-powered AI satellites. That's more than all the chip manufacturers in the world combined can provide today, or even by 2030 (based on projected production growth). We're building TERAFAB to close the gap between today’s chip production & the future's demand – a future among the stars terafab.ai
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Alex Terrien retweetledi
France just became the first country in the world to launch MCP for its gov data. Pretty bold move, and honestly quite impressive.
Antonin Garrone@antonin_garrone
Les données disponibles sur data.gouv.fr sont désormais interrogeables via un serveur MCP dédié en experimentation, vos retours sont bienvenus ! 💻 Le code est ouvert et accessible sur GitHub : github.com/datagouv/datag… Pour en savoir plus : data.gouv.fr/posts/experime…
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Alex Terrien retweetledi
AI must pass, in general, the “Galileo” test: even if almost all the training data repeats falsehoods, it must nonetheless see the truth
Physics In History@PhysInHistory
Happy Birthday to Galileo Galilei.✍️ Born on February 15, 1564, Galileo was a pioneering scientist whose observations transformed humanity’s understanding of the universe. Through his telescopic discoveries - including the moons of Jupiter and the phases of Venus - he provided powerful evidence that challenged long-held beliefs and supported the motion of the Earth. Widely regarded as the Father of modern astronomy, his dedication to observation, evidence, and scientific inquiry laid the foundation for modern science.
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For the past few months, a small crew got together to overhaul @NotionHQ sidebar / navigation. We called the project "Slippery Slope" :)
For anyone who's worked on a similar project knows how hard it is to make any changes to navigation, because it directly impacts how millions of people use your product every single day.
To my surprise and delight, the team was able to ship something remarkably better in a matter of weeks. We've been using it internally for some time now, and I cannot imagine going back.
We start ramping to users tomorrow, but feel free to reply here, and I'll try my best to turn on early access!
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Great article @Bouazizalex. Some highlights for me:
1. In-person work is possible with 10 people in one room. The minute you grow beyond that, multiple rooms, multiple floors, multiple offices, it becomes remote work
2. What works: hold people accountable. Set goals, plan to meet OKRs, give people deadlines... If you don't hit your OKRs for two quarters in a row, you're usually out.
3. The first three months at Deel are purposely intense. It's a very sink-or-swim type of place. People either thrive or they don't make it.
4. Remote companies write things down because they have to, and it's better for everyone.
5. Hire for agency. Screen for intensity, self-direction, speed, and ownership.
6. No pure managers. Even people who manage other managers must have direct IC tasks. We want managers that are doers. And we're tougher on managers than on ICs.
7. Every day for the first 30 days, the manager does a 10-minute standup... a blocker removal session: What are you working on? What's slowing you down? What do you need from me?
Alex Bouaziz@Bouazizalex
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Alex Terrien retweetledi
A peak into the future.
Kevin Rose@kevinrose
I was at ClawCon last night in SF. I saw some cases of beer show up, I was told (not confirmed) the claw controlled robots walking around detected low beer and ordered more been from the MCP RentAHuman... I'm not sure the world is ready for this power.
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Alex Terrien retweetledi
i have a lot to say about these ads but holy fucking shit… this might be the most tasteful & brutal takedown of a category leader i’ve ever seen. & during the fucking super bowl? insane.
usually these things almost always fall flat (see: slack “welcoming” microsoft teams with a fucking newspaper ad & how cringe that was), but this one lands dead center.
even normies will clock the subtlety. the capturing of chatgpt’s drift in personality, tone, & vibes is absolutely unreal. almost surgical. normal ppl i know make fun of how chatgpt talks.
imo openai made themselves vulnerable here by simply trying to do so much (enterprise, codex, consumer, etc) & lacking a singular cohesive narrative other than they have 800m users. like even google is taking shots about openai being forced to run ads.
anyway i’ll post more but this was an absolute master class (i have posted about how openai competitors should handle their ads play, & this is a great start). also i would not count anthropic out of the consumer race yet (they have a lot of room to grow & even potentially acquire small startups).
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@blader Is there no way for us to shut the power down, or do the agents also control a power supply here?
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The future is here. And it keeps coming at us so fast.
Markus J. Buehler@ProfBuehlerMIT
Everyone is obsessed with 🦞 @openclaw and @moltbook and the idea of autonomous agents running your life or building societies. But what happens when you scale that up? What if, instead of agents checking your calendar and posting on Reddit, you had hundreds of agents collaborating to construct the building blocks of life 🧬 from "first principles"? We created a Swarm of AIs to design never-before-seen-proteins, far outside of what Nature has produced. They negotiate, debate, and optimize locally to design proteins from scratch, with decentralized logic. No training required, pure emergence! These proteins 👇 were designed by a swarm of AIs!
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Alex Terrien retweetledi
A new study on "Where Discovery Happens" found that with basic research in the life sciences, Harvard contributes more than Canada & France combined. Boston, Cambridge, & Newton are just behind all of China—and well ahead of every other country in the world. Most of this is from federal funding, which is not, contrary to popular misunderstanding, "taxpayer support of Harvard" -- it's a fee for service, namely discoveries in the life sciences. (Thanks to my colleague Jason Furman for this summary.) nber.org/system/files/w…
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BIG NEWS: Today we are launching @blockitAI -- the first AI scheduling agent that actually understands your time.
After spending my career as a partner at @sequoia, I stepped back to build this. Why?
Because I believe the calendar is the last untouched social network, and it can only now be unlocked through AI.
Our scheduling agent can handle any degree of complexity and has spread purely through virality to date.
Blockit now works for 200+ companies and has coordinated 100,000+ meetings — all with zero humans in the loop.
We're excited to emerge from stealth and announce our $5M raise from @sequoia led by Pat Grady (@gradypb) with participation from @haystackvc, @adjacent, Original, and NPV, i.e. Jeff Weiner, the former CEO of Linkedin.
Come for the agent, stay for the network — get started free today at blockit.com
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We've been building Context Graphs for 18 months, so my cofounder Adam Schwartz chimed into the conversation happening in the tech world right now.
3 key points:
1. Context Graphs need to go beyond decision traces.
While context graphs focus narrowly on capturing how decisions were made (exceptions, approvals, precedent), we are building context that zooms all the way out to organizational goals and proportional investments in work themes, or zoom all the way in to relationships between atomic units of event data. It models how work happens across the entire enterprise, not just executional process transactions.
2. Context Graphs - and ours in particular - solves for cross-system synthesis that data warehouses can't provide.
Data warehouses don't understand relational context in a structured way and can't perform true cross-system synthesis. Humans or agents running SQL joins can't address this. Parable's architecture was built from the ground up specifically to contextualize work across all siloed data sources and create observability of operational reality.
3. The practical output is measuring what matters: time and attention.
Parable measures the "attention economy" of an enterprise—not just the "how" of processes, but also the "how much," "where," "what," "who," and "when." This enables two concrete capabilities: programmatically identifying and quantifying operational inefficiency to sharpen where agents should be deployed, and precisely measuring the business impact of every AI deployment against a pre-established baseline.
Have a read !
Adam Schwartz@agbs
I've read everything I can and I still don't think the Context Graph debate set off by @JayaGup10 is capturing the whole story of what enterprise context really means. My thought at the break: linkedin.com/posts/adamgreg…
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Someone needs to build a company around Customer Context Graph.
Collect all the threads – emails, meeting transcripts, slack messages, contracts, deliverables, detail, info, and config – from your customers into context that can be explored and queried by agents.
This info is scattered between CRMs, ticketing systems, note takers, product, landing pages – it's inherently cross platform information. You need a new solution. Kind of how Segment did it trad SaaS apps.
With this context, you can fire up Claude Cowork or similar for ad-hoc work or build extremely powerful agent automation flows. Expose the context as skills, MCP, and file system.
Even better if you build it as open-source with a hosted option so people can take it on-prem as needed. Create a connector ecosystem around it. This will power every single next-gen AI-native full-stack business.
Sort of like the context graph (@ashugarg @JayaGup10 ) that has been discussed recently but I'm thinking something very concrete: "Get me all the context about this particular customer."
A customer-level, cross-system context substrate that agents can explore and act on
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I find that when I'm emotionally triggered, it's often a sign that I'm not taking extreme ownership or responsibility for my own actions and decisions.
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"Tech optimism isn’t blind faith. It’s the recognition that technology isn’t an external force acting on us. It’s an expression of human problem-solving. If AI really is this powerful, the real question is: what big problems will you help solve for humanity? The rest of us will find other pursuits." Thanks @Alfred_Lin
Alfred Lin@Alfred_Lin
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"The ambitious version of your roadmap just became the realistic one."
Wild how quickly everything is moving.
Pat Grady@gradypb
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