Jared (@jaredablon) header
Jared (@jaredablon) profile picture

Helping startups accelerate. Founded & bootstrapped a biz to a successful exit. Investor. Prev. cracked codes for the gov't.

Santa Monica, CA
Joined January 2011
Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)Photo by Jared (@jaredablon)
Companies use pricing psychology to trick you into spending more. Here are 10 pricing secrets you can use to your advantage...
60
1,138
56
5,011
The Inevitability of the Company AI Harness At some point in the not too distant future (probably less than 6 months), the CEO of every business will be faced with answering this question: would you like to one-click install superintelligence into your business? When we reach this point, adopting AI will no longer be a process of asking individuals in the business to use Claude Cowork or ChatGPT Work to help them be more efficient in their work. Instead, it will be a decision that management teams and boards make for the entire organization. The harness will be installed at the company level, and the harness will enable AI models to drive their own adoption and deployment into the business. With access authorized at the highest levels, the company harness will: 1) Connect to all of the systems of record that contain the artifacts and assets generated by the operations of the business: email and chat, document storage, source code repositories, accounting systems, CRM, marketing campaigns, purchase and revenue data. 2) Ingest and analyze all of the external-facing activity that matters to the success of the business in its market. 3) Use the data it finds in these systems to identify and synthesize the skills needed to replicate the external-facing activities of the business to human-level quality or better. 4) Correctly assess that the vast majority of internal-facing activity in large companies is make-work, and should not be replicated. 5) Find the narrow set of processes that do actually drive the critical external outcomes, and seek to replicate and improve those. 6) Treat the creation of the automated skills and workflows that matter as a reinforcement learning learning problem. 7) Use historical data as the reference set and build itself a loop that trains a skill (or perhaps eventually a bespoke model) to deliver superhuman performance in that task. You might say that AI will never be able to learn how to do all the things a company does without humans hand-crafting the skills or teaching it their proprietary processes. That take will not age well. You might feel that this is a dark future. I don’t agree, but it won’t matter. The incentives to adopt the company harness will be too strong to resist. You might worry that this will be massively disruptive to the way that most companies operate, and you will be right. When company harnesses land, the nature and pace of AI adoption will be a difference in kind, not merely degree. Up until this point, AI diffusion has been limited by a natural brake: the rate that humans in an organization can absorb new tools, translate their workflows into agent skills, and supervise/direct the operations of their agents. The introduction of the company harness will remove that brake. It will be designed for a world where AI is doing the work for us instead of doing the work with us. The company harness will bypass the rate limits of organizational diffusion in favor of a recursive self-improvement loop that is bottlenecked only by computational constraints: tokens, data, and eventually, energy. It will be simultaneously be both thrilling and terrifying, depending on how you position yourself. Some will seek to accelerate it, others will seek to slow it down, but either way adoption will be inevitable.
🤖 Made with AI
9
21
5
60
23,951
There is a fundamental shift in the data needs to power ASI. Simple data is over. It's now the era of complex, real world & diverse data generated by research accelerators. Turing is proud to help America lead the race to ASI by partnering with all the top frontier Al labs. 🇺🇸
Watching → the quiet transformation of the data pipeline Something underdiscussed is the fundamental shift in how AI is labelled & trained for the next era of intelligence.. As we move toward Superintelligence or 'ASI', AI models don’t just need more data.. they need high-quality, expert-generated data, not bulk-labeled outputs from gig workers. If V1 AI had its greatest impact on lower-skill knowledge work (transcriptions, note-taking, basic marketing), next-gen AI, 'Superintelligence,' will be defined by its ability to operate in fields requiring extreme abstraction, multi-disciplinary synthesis, & high-stakes reasoning. Think: theoretical physics, advanced mathematics, AI safety, neuroscience, cryptography, aerospace, climate science, synthetic biology, & geopolitical strategy Industries that have real impact on frontier technology.. leading to true 'Superintelligence' Superintelligence, n. “An intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom, and social skills.” - Nick Bostrom . . . "The thing that I think will be the most impactful on that 5 to 10 year time frame is AI will actually discover new science. And this is a crazy claim to make but I think it is true. And if it is correct then over time I think that will dwarf everything else." @sama on Jack Altman's Uncapped FWIW I don't think it's crazy to think ASI will make new discoveries, but I do think one major test of ASI will be its ability to invent new science & technologies. And that'll need industry experts. . . . The Financial Times just spotlighted this shift, covering top players like Scale AI, Turing, & Toloka moving away from gig-based labeling & toward highly specialized, expert-driven data pipelines “Deep-pocketed AI companies are now willing to pay for more sophisticated datasets & experts from around the world.” “As leading AI groups such as OpenAI, Anthropic, & Google attempt to develop models that they claim will exceed human intelligence, there is a new push to focus on the quality of these datasets & hiring experts to examine complex problems.” This is where Turing seems to be leading the pack. As @turingcom CEO @jonsid puts it, the goal isn’t just to replicate human expertise, it’s to transcend it, leading to 10x productivity: “The result of this is the model’s not just going to be better than a physicist. It’s going to be better than a superposition of somebody who’s at the top in physics, computer science, & data science,” said Turing’s Siddharth.
5
18
1
54
5,868
Just got back from @RaiseSummit in Paris—where AI's top names like Groq, Cerebras, Eric Schmidt, Lovable, & Windsurf all took the stage Yet one unexpected player stood out as the next breakout AGI leader.. Stats: - $300M+ in Rev (profitable!) - $225M in funding, $2.2B valuation - Network of 4M+ engineers - Customers: OpenAI, NVDA, Anthropic, Google, MSFT, Meta, Salesforce, Amazon Any guesses?
65
50
16
253
86,134
Every time I swipe or use the chip instead of tapping, I feel like I am still using an AOL address.
4
181
Jared retweeted
The Tari airdrop game is here… Go to airdrop.tari.com to start earning Tari now
6,733
114,640
1,705
42,746
1,553,682
For the first 5 people that fill out this form, I will personally work with you and handle all your onboarding. Concierge, white glove, onboarding to ensure a world-class experience for your new hire while ensuring you have time to do your full-time job. forms.gle/JZErXQnmqdii3ZJcA
12
3
2
23
8,658
Generative AI lowers the barrier for entry for sophisticated software products. As obvious use cases saturate, it's the niche, non-obvious ones to focus on.
327
I’m so inspired by all of the women here - breaking the rules, shattering biases, and forging incredible career paths. youtube.com/watch?v=U9kaEsqp… #WomenInTech #WomenInSTEM #WomensHistoryMonth
2
2
697
Who is a marketing pro that thrives at testing new ideas. If you're passionate about early stage startups and want a unique opportunity, let's chat!
1
2
491
22% of new hire candidates just don't show up on their first day and another 40% (my est.) show up not wanting to start. Check out this solution to have happy and productive new employees on day 1.
Replying to @HarrisFanaroff
Activate Onboarding Ensures that your new hires show up and feel connected to the organization from the moment they accept their offer. activateonboarding.com/
1
1
5
Meetings kill business efficiency, however, remote companies require them.
1
1
100% this. People aren't stealing your idea for the same reason everyone doesn't have a six pack. Very few (0.001%) are willing to put in the work.
If you are worried about your startup idea getting "stolen", you still haven't understood how tough building a startup really is.
1
9
Update on this 👇
If anyone else is interested in doing something similar: 1. Buy a SaaS app on @microacquire 2. Grow it to 100x+ 3. Sell it I will provide funding and mentorship/guidance. Please reply/DM to discuss this further.
2
2
It is hard to help people become wealthy because most people don't want to put in the work. DM me if you are interested and we can chat.
1
3
Follow along by following me @jaredablon
1