Tony Lim
724 posts
Tony Lim
@Tonynsight
I bridge korea and global // ex.Allround // Crypto // AI // Business
Anywhere Katılım Ekim 2023
609 Takip Edilen107 Takipçiler
오푸스 4.6이 환각 증세 및 성능이 떨어졌다고 합니다.
저도 감으로만 뭔가 토큰 사용량이 높고 이상하다 싶었는데
bridgeBench라는 곳에서 비교를 했나보네요.
지난주에 비해 7계단 이상 떨어졌습니다.
이건 둘중에 하나일 것 같은데
미토스가 곧 등장한다 or 컴퓨팅 파워 감당이 안된다.
전자라면 다행이지만, 후자라면 골치아프겠네요
재미있는건 @grok 이 환각률이 가장 낮다는 지표가 보이네요
아마 X의 실시간 데이터와, 에이전트 때문이 아닐까 싶네요
BridgeMind@bridgemindai
CLAUDE OPUS 4.6 IS NERFED. BridgeBench just proved it. Last week Claude Opus 4.6 ranked #2 on the Hallucination benchmark with an accuracy of 83.3%. Today Claude Opus 4.6 was retested and it fell to #10 on the leaderboard with an accuracy of only 68.3%. A 98% increase in hallucination. bridgebench.ai just confirmed that Claude Opus 4.6 has reduced reasoning levels and is nerfed.
한국어
@coreyganim That makes sense — but won’t AI eventually get really good at problem definition too?
When that happens, what actually becomes the competitive advantage or moat?
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Tony Lim retweetledi
NORMIES
AI normies are just using chatGPT as a google replacement
On the other hand we see power laws emerging in how expert users engage with AI - as has been discussed widely in recent days
right now the top 1% of AI users generate 80% of the value - building - while most people use it for routine work. Some folks going full blast on LLM wikis, running local models, building skills, building multi agent workflows and weekend projects - most are not
the gap between casual and pro is widening. The 10x engineer is a 1000x engineer since they know how to multiple their effectiveness. The non-technical AI user might only use what’s in front of them, when they’d get so much value taking one more step
Don’t be an AI normie 😎
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prediction
We’ll soon see a huge wave of billion dollar AI native products spinning out from internally vibe coded tools
Here’s the theory - just think about it as a funnel. There’s an explosion of so many internal AI apps being built that some will get popular, will get blogged about, some will open sourced. And some will cause employees to spin out with startups.
It’s already happened the past (often w infra) but it’ll happen up and down the stack this time. And as soon as someone mentions the idea or posts a screenshot or paper it can be agentically fast followed the next day
The best part is that every company has many internal teams that constitute an early customer base. the explosion of bespoke internal apps built by non-engineers is basically every company discovering the cold start problem in reverse. you don't need to build the network - the org IS the network. every team is an atomic network ready to adopt
More bespoke software, yes, but also more scaled software that spreads between companies too!
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@andrewchen This is a really sharp insight and fully agree.
Feels like we’re moving into a world where orgs naturally generate features, and some of those inevitably escape and become products.
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@svpino Feels like the market will definitely happen, but probably not as a traditional “browse and pick” marketplace.
More like you describe what you need once, and a bunch of agents compete behind the scenes — the most efficient one gets selected, runs the task, and gets paid.
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Earning money with agents is happening sooner than I expected:
Imagine a market of agents where people pay them for their skills or to complete tasks they are uniquely suited to do.
Think of hyper-specialized agents that can complete jobs. You build them, people "hire" them, and the agent makes you money.
I hope Pika can pull this one off!
Pika@pika_labs
1/3 Money, money, money, moneyyyyy 💸💸💸💸 Today we’re making it possible for you to earn actual money from your Pika AI Self agent. Because we think your agent should work FOR you in every sense of the phrase. Every time someone talks with them, or uses one of their skills, you earn tokens redeemable for cash. Say goodbye to those deadbeat agents.
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@coreyganim Feels like it’s only a matter of time before agents start running these audits themselves…
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Great framework. The part most people will get stuck on: landing the first 10 clients.
The tripwire offer that solves this: a $999 AI audit.
Here's why it works:
It's hard to pitch a $4,000/month retainer to a stranger. But they'll buy a $999 audit because the risk is low and the deliverable is clear.
The audit:
1. 45-min call mapping every repeatable process in their business
2. Rank each one by time/money waste
3. Deliver a prioritized automation roadmap
The roadmap IS your sales pitch for the retainer. You diagnosed the problem. You showed them the fix. Now you're the obvious person to build it.
Close rate from audit to retainer: 50%+ (because you already understand their business better than anyone else pitching them).
The math Greg's describing:
- 20 audits → 10 convert to $4K/month retainers
- $40K/month recurring by month 3-4
- Each client teaches you what to productize
The audit is the flywheel. Low risk for the client. High conversion for you. And every audit makes your eventual SaaS product smarter.
GREG ISENBERG@gregisenberg
THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents) building an agency right now is one of the most interesting business moves the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc. here's the actual playbook i'd run today: pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing." or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it then you build the AI workflow behind it. you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA "BuT tHaT'S nOt a BiG bUsInnesS" okay but you're still swinging for the fences because the agency IS the research and development for your agent SaaS every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want. by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers now let's talk about what this actually looks like financially year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the agency still running year 3: agency is winding down or running on autopilot. software has 200 customers at $800/month. that's $1.9M ARR. 2-3 person team. 85% margins. you are now a very attractive acquisition target the exit math is interesting. SaaS at $1.9M ARR with strong retention trades at 5-8x revenue. that's a $10-15M exit for something two people built in 3 years starting with zero VC CAVEAT: Startups are hard. A lot needs to go right. But from a framework perspective, I think this probably the lowest risk, highest reward option for lots of of folks and most of the businesses cost $0 to start basically this is the most capital efficient path to a software exit that exists right now happy building
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@Ejaz_bashir1 If we get AI that can detect even the humanizer prompts… we’re officially cooked 😅
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BREAKING: Don't copy and paste answers from ChatGPT.
ChatGPT writing is easily detectable.
Use these prompts instead and see the magic:
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While you wait to earn from your brand...
• Get a job, or
• Learn a skill, or
• Build/launch your product
• Promote other people’s products... etc
You need the cash flow.
Don't be carried away by everything you see on social media... things aren't always as they seem.
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In the AI era, the strongest software companies might not be product companies — but problem discovery companies.
Curious if others are thinking about this model.
cc:
@alliekmiller
@ChrisLaubAI
@realritaeno
@Ejaz_bashir1
@EXM7777
@coreyganim
@irabukht
@mablejiang
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