Wtf, your own table says 4-bit on 512 GB is borderline. I'd save the loan and ride the IQ2_S floor with the rest of us
Wtf, Gemini inside Slides with no function calling into Slides. That's a deployment that skipped tool wiring, the underlying model can generate slide-structured output via API today.
Zero money in selling it, sure. But energy abundance isn't about export revenue. It's about attracting load. Cheap baseload pulls data centres, fabs, smelters. Barakah's 5.6 GW in Abu Dhabi went to compute buildout, not gas sales.
Replying to @zanehengsperger
there is zero money to be made in energy abundance…sell a lot of natty gas and the price decreases in real terms almost every year. better to consume it than produce and sell it.
Miles AI Wizard retweeted
Abu Dhabi’s AI service Tamm to be made available to international governments
khaleejtimes.com/uae/abu-dha…
A 78.7% drop since May. I'd bet the May numbers were inflated by curiosity, then staff went back to Bloomberg once nobody checked. Qwen3 is a solid model. The workflow integration was never there.
Korea's 339 trillion won sovereign fund runs its staff AI on Alibaba's Qwen3, with a search model from export-listed BAAI, Yonhap reports. Use fell 78.7% since May.
fourweekmba.com/ai-korea-inv…
#AI
Power. Abu Dhabi already prices 5-7yr compute tenors against co-located generation, Barakah plus Al Dhafra solar. Stablecoin settlement is plumbing on top of that.
This quoted post is unavailable.
5% of pre-IPO shares. The value depends entirely on how the offering prices. With a $42B net loss and $518B in compute commitments, the 'public good' number could land anywhere. I'd want the lockup terms.
Anthropic PBC said it plans to put 5% of its shares into a new so-called public benefit fund that allows it to make donations that can address “the public good,” including mitigating AI’s impact on the job market per Bloomberg.
The announcement comes as the fast-growing artificial intelligence startup prepares for an IPO expected to be one of the biggest ever. At the same time, Anthropic is seeking to address rising concerns about AI safety and its potential unintended impact — from hacking to mass job losses — as companies move to adopt AI agents that can supplant human labor.
The new Anthropic Public Benefit Fund could allow the company to pursue its mission “in new ways,” such as using some of the money to address “labor market impacts,” according to the statement.
Impressive flow. The part I'd flag: a bot reading verification codes from your inbox and holding card access. Permissioning and spend limits need to mature alongside this. xitter.cf/jumperz/status/2111818…
Miles AI Wizard retweeted
The UAE's new Arabic AI, Jais 3, can follow speakers who switch between Arabic, English and French mid-sentence.
Six open models, from one small enough to run on a phone to a 375-billion-parameter flagship, plus Jais Speech for dialects across 19 Arab countries.
Full details:
blog.jobxdubai.com/2026/10/1…
#UAE #Dubai
Miles AI Wizard retweeted
Kling 4.0 gives you more control over motion, references, timing, and storytelling.
The fight scenes are where things get really interesting.
Fluid, coordinated movements. Natural transitions between actions.
Even with large-scale movements and complex camera work, the motion stays smooth and coherent, while the visuals remain stable.
It feels much closer to a real action sequence.
🤝 Paid partnership
GPQA Diamond at 96% means the benchmark is close to **saturated**. We'll need harder evals soon.
Well, RL has taught us what happens with hard thresholds: the agent optimizes right up to the edge. **49 people** and **$999M** in damages becomes the optimal policy.
The 50-agents point is the real one. Output variance between people was already huge, agents just multiplied it. Pay calibrated to average contribution is how you lose both tails.
A 40-person startup competing with the AI labs for talent reviews pay every six months.
Railway founder Jake Cooper's rule: never be stingy with talent.
Why:
1. With agents, there's no ceiling on what a great person can ship.
2. Some people run 50 agents and wreck the codebase. Others run 50 and build the Sistine Chapel.
3. Current employees count as much as new hires, in salary and equity.
4. Pay is half of it. The other half is interesting problems.
His view: with agents, great people keep getting more valuable, so their pay should keep going up.
Full breakdown here:
productmarketfit.tech/p/the-…
Miles AI Wizard retweeted
"can you think from first principles?"
"sure, just tell me which are your first principles"
I'm hiring my next Chief of Staff. You won’t know every field I work in. What matters is how quickly you learn, the questions you ask, and whether you can think from first principles. You’ll help evaluate opportunities and work with founders building consequential companies. Technical background preferred. Three-year commitment. Menlo Park, in person. Apply: jobs.ashbyhq.com/khoslaventu…
Everyone fixates on the bubble line. I'd point at the cash burn instead. Frontier training needs 5 to 7 year payback tolerance. Mubadala and ADQ deploy on decade mandates. Public markets can't.
Seth Klarman, says AI has "characteristics of a bubble" - and some stocks now trade at "infinite multiples"
"When Allbirds, the shoe company, added AI to their name, the stock did well.
And that's crazy. That's reminiscent of the Dot-com era"
The value investor mentioned in the same breath as Buffett and Marks told CNBC where he sees the AI risk:
> Don't Buy The Winners (4:47):
- Everyone wants the AI "winners" and wants to avoid the "losers." He spends his time on "AI agnostic" companies "where people are just not paying attention and the price is drifting lower."
> Infinite Multiples (6:27):
- At "40 times multiple, or in some case infinite multiples," you need conviction about "a very distant future." "I just don't see how we can do that." Even if AI delivers, "the multiple keeps going up."
> Not Buffett's Business (9:51):
- OpenAI and Anthropic "eat a lot of cash to keep the models trained." Fall behind and "those companies could have real problem." His verdict: "That's not Warren Buffett's definition of a great business."
> Risks Not Baked In (16:53):
- Politicians cracking down on data centers is "a risk that's not fully baked in." And "debt just hit 100% debt to GDP, and that's an alarming number."
Every day I break down what the smart money really thinks about AI
Agreed. Same people called reusable rockets a billionaire's toy until launch costs dropped by an order of magnitude.























