207 Photos and videos
Lawyers, bh, is it still worth learning Law in this day & age?
the answer is always YES.
Jun 13
Be honest devs, Is coding still worth learning in the AI era?
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If a government can dictate your company what or what not to do then how is it any difference from CCP at all
Jun 13
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
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bimri retweeted
Jun 1
How does Ilya have such good research taste?
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just goes to show valuations are gambits for VCs to make money.
May 24
ANTHROPIC IPO VALUATION: $850B
SAMSUNG VALUATION: $800B
ANTHROPIC REVENUE: $30B
SAMSUNG REVENUE: $230B
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bimri retweeted
May 24
can we stop using AI for everything
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May 24
The bottleneck usually isn’t output volume. It’s output quality.
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now imagine using both to the max ¡¿
May 23
"You'll get left behind if you don't use AI"
My guy...your brain is going to get left behind for letting AI do all the thinking for you.
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I'm returning home
time to ditch this 🪟 os that came with the new machine
The reason agents are so good at Linux is that all 40 million lines of kernel code was part of the pre training. Along with every other open source dependency. This really does make every obscure error message shallow, and the system completely malleable.
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I'm re-watching breaking ⛓️💥 bad... it's way sadder than I remember.
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bimri retweeted
May 23
and the worst crimes are when the tests still pass
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bimri retweeted
May 23
the skill shifted from writing code to knowing which part of the output to distrust. harder to hire for, honestly.
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May 23
The 15 years weren't wasted. They built the mental model that tells you when the agent is wrong. People who go straight to AI-assisted coding without the foundation are fast in week one and dangerous in month six. You're not slower than them. You're safer.
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bimri retweeted
May 23
Plot twist: those 15 years weren’t wasted.
We were just the unpaid pretraining set.🤭
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😂 I cancelled mine months ago.
May 21
MICROSOFT CANCELED CLAUDE CODE!
IT COST TOO MUCH.
Major tech companies are confronting the steep reality of AI inference costs as the era of heavy subsidies appears to be ending.
Microsoft is canceling most internal licenses for Anthropic’s popular Claude Code tool by June 30, 2026 less than six months after rolling it out broadly to engineers primarily due to escalating token-based expenses, while shifting teams toward its own GitHub Copilot CLI.
This mirrors broader pressures: Uber’s CTO revealed the company had already exhausted its entire 2026 AI budget in just four months thanks to heavy Claude usage among thousands of engineers (with individual monthly costs often hitting $500–$2,000), and GitHub is transitioning Copilot to usage-based billing with higher per-token rates starting June 1st.
The reality is good enough AI will expand and constantly get better removing the oxygen of the most expensive.
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bimri retweeted
May 21
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie🤗
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