Claude is now against OpenClaw
It's not that they'll block usage, but that the API will become a paid service and you'll have to pay extra to use. it meaning you'll end up paying twice.
News summary:
But to avoid hate, Anthropic is offering compensation:
The company is providing a one-time Extra Usage credit equal to the cost of the user’s monthly subscription:
- Pro plan $20/month: you’ll get $20
- Max 5x plan $100/month: you’ll get $100
etc...
You can claim your credit here: claude.ai -> settings -> usage
Why?
Anthropic cites increased demand and infrastructure strain - third-party tools like OpenClaw were routing traffic through Claude subscriptions, essentially getting all-you-can-eat API access at flat subscription rates.
Bottom line:
If you use OpenClaw or similar third-party CLIs - your subscription no longer covers them. You'll need to pay API rates on top of your plan. The one-time credit is just a cushion for the transition, not a long-term solution.
Anthropic wants you on Claude Code.
It's not that they'll block usage, but that the API will become a paid service and you'll have to pay extra to use. it meaning you'll end up paying twice.
News summary:
Starting Saturday, April 4 (today!) at 3:00 p.m. Eastern Time, Claude subscriptions will no longer cover access via third-party tools such as OpenClaw. This applies not only to OpenClaw, but to all other third-party tools as well. (Source)
But to avoid hate, Anthropic is offering compensation:
The company is providing a one-time Extra Usage credit equal to the cost of the user’s monthly subscription:
- Pro plan $20/month: you’ll get $20
- Max 5x plan $100/month: you’ll get $100
etc...
You can claim your credit here: claude.ai -> settings -> usage
Why?
Anthropic cites increased demand and infrastructure strain - third-party tools like OpenClaw were routing traffic through Claude subscriptions, essentially getting all-you-can-eat API access at flat subscription rates.
Bottom line:
If you use OpenClaw or similar third-party CLIs - your subscription no longer covers them. You'll need to pay API rates on top of your plan. The one-time credit is just a cushion for the transition, not a long-term solution.
Anthropic wants you on Claude Code.
kaize vibecoding era..
Claude is now against OpenClaw It's not that they'll block usage, but that the API will become a paid service and you'll have to pay extra to use. it meaning you'll end up paying twice. News summary: Starting Saturday, April 4 (today!) at 3:00 p.m. Eastern…
I fully support Claude’s new initiative - why let competitors profit at their expense while losing users?
In theory, if things had continued as they were, it could have resulted in a loss of hundreds of millions in revenue.
As a founder and the creator of the company, I completely understand them. Their goal is to make money and retain users.
One person at X (link) is trying to convince me that Claude should have simplified integrations and then changed its business model, but I think he failed to consider that this would place a very heavy load on the infrastructure and, as a result, lead to financial losses.
In theory, if things had continued as they were, it could have resulted in a loss of hundreds of millions in revenue.
As a founder and the creator of the company, I completely understand them. Their goal is to make money and retain users.
One person at X (link) is trying to convince me that Claude should have simplified integrations and then changed its business model, but I think he failed to consider that this would place a very heavy load on the infrastructure and, as a result, lead to financial losses.
Mozila found and dixed 271 security bugs in Firefox using AI
Mozilla shared how they used Claude Mythos Preview and other models to find an unprecedented number of latent security vulnerabilities in Firefox
What happened:
In April 2026, Mozilla shipped fixes for 423 security bugs total, 271 of which were found by Claude Mythos Preview:
- 180 high secured
- 80 moderate severity
- 11 low severity
How it works:
AI creates and runs test cases, reproduces bugs dynamically, and writes detailed reports. Mozilla built a full pipeline around it:
1/ target selection
2/ deduplication
3/ triage, patching
Swapping in a new model is trivial once the pipeline is in place
Notable finds:
- Sandbox escapes via IPC and race conditions
- A 20-year-old XSLT use-after-free
- Bypass of RLBox (in-process sandbox for third-party libraries)
- A rowspan=0 overflow of a 16-bit layout bitfield that fuzzers missed for years
Any project can start using an AI harness to find vulnerabilities today, even with simple prompts. The models are capable enough, and the techniques to filter noise are well understood
source: https://hacks.mozilla.org/2026/05/behind-the-scenes-hardening-firefox/
Mozilla shared how they used Claude Mythos Preview and other models to find an unprecedented number of latent security vulnerabilities in Firefox
What happened:
In April 2026, Mozilla shipped fixes for 423 security bugs total, 271 of which were found by Claude Mythos Preview:
- 180 high secured
- 80 moderate severity
- 11 low severity
How it works:
AI creates and runs test cases, reproduces bugs dynamically, and writes detailed reports. Mozilla built a full pipeline around it:
1/ target selection
2/ deduplication
3/ triage, patching
Swapping in a new model is trivial once the pipeline is in place
Notable finds:
- Sandbox escapes via IPC and race conditions
- A 20-year-old XSLT use-after-free
- Bypass of RLBox (in-process sandbox for third-party libraries)
- A rowspan=0 overflow of a 16-bit layout bitfield that fuzzers missed for years
Any project can start using an AI harness to find vulnerabilities today, even with simple prompts. The models are capable enough, and the techniques to filter noise are well understood
source: https://hacks.mozilla.org/2026/05/behind-the-scenes-hardening-firefox/
still don't understand people who post fake revenue photo/screenshots, like "my bot made $X" or "my app hit $X MRR"
you can literally see the dashboard was generated with one AI prompt like: 'generate a demo dashboard showing $3k in revenue'
instead of faking it, they could actually be building something real in a specific niche. the only people who fall for this are beginners - anyone with actual experience can tell immediately that this person has nothing behind the screenshot
you can literally see the dashboard was generated with one AI prompt like: 'generate a demo dashboard showing $3k in revenue'
instead of faking it, they could actually be building something real in a specific niche. the only people who fall for this are beginners - anyone with actual experience can tell immediately that this person has nothing behind the screenshot
1
Andrej Karpathy has joined Anthropic
yesterday, one of the most recognized AI researchers in the world announced he's moving to Anthropic
his career path:
> 2015 - 2017: co-founder and researcher at OpenAI
> 2017 - 2022: director of AI at Tesla (Autopilot, FSD)
> 2023: returned to OpenAI for one year
> 2024 - 2026: founded Eureka Labs (AI education)
> may 19, 2026: joined Anthropic
what he'll be doing:
working on the pre-training team under Nick Joseph. he'll be building a new team focused on using Claude to accelerate pre-training research. in other words, Karpathy will be teaching Claude to improve itself
why this matters:
this isn't just a hire - It's a signal!
Karpathy is one of the few people on the planet who bridges the gap between LLM theory and large-scale training in practice
and he's not the only one. over the past few months, CTOs from Instagram, Workday, Box, You .com and others have all joined Anthropic. not as leaders, as individual researchers. people are leaving CTO positions at billion-dollar companies just to do research at Anthropic
his words:
more to read:
1. OpenAI Cofounder Andrej Karpathy Joins Anthropic as Sam Altman’s Fortunes Turn
2. OpenAI co-founder Andrej Karpathy joins Anthropic
yesterday, one of the most recognized AI researchers in the world announced he's moving to Anthropic
his career path:
> 2015 - 2017: co-founder and researcher at OpenAI
> 2017 - 2022: director of AI at Tesla (Autopilot, FSD)
> 2023: returned to OpenAI for one year
> 2024 - 2026: founded Eureka Labs (AI education)
> may 19, 2026: joined Anthropic
what he'll be doing:
working on the pre-training team under Nick Joseph. he'll be building a new team focused on using Claude to accelerate pre-training research. in other words, Karpathy will be teaching Claude to improve itself
why this matters:
this isn't just a hire - It's a signal!
Karpathy is one of the few people on the planet who bridges the gap between LLM theory and large-scale training in practice
and he's not the only one. over the past few months, CTOs from Instagram, Workday, Box, You .com and others have all joined Anthropic. not as leaders, as individual researchers. people are leaving CTO positions at billion-dollar companies just to do research at Anthropic
his words:
"I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time."
more to read:
1. OpenAI Cofounder Andrej Karpathy Joins Anthropic as Sam Altman’s Fortunes Turn
2. OpenAI co-founder Andrej Karpathy joins Anthropic
Kimi AI completely broke on a VERY simple prompt
I've been learning Russian for a while. since I have an architectural background, I decided to test Kimi with something basic:
a simple heating unit calculation with real pipe diameters, lengths, fittings, etc..
prompt I sent (in russian):
calculate the heat distribution for these sections:
section 1: 50mm diameter, 4.1m long, with turn tee section 2: 40mm, 1.45m, with tee and so on..
what I got back:
instead of any calculation, Kimi started endlessly repeating "I'll do this in all rubles, in all dollars, in all euros.." (translation) and listed literally every currency in the world in a crazy loop for dozens of lines
It was an endless cycle, maybe something wrong with the code
it kept going for 2 hours until I manually stopped it
the weird part:
it only burned 18% of my total tokens, so it wasn't even doing real computation, just looping text
details: https://x.com/0x_kaize/status/2059236004863631428
I've been learning Russian for a while. since I have an architectural background, I decided to test Kimi with something basic:
a simple heating unit calculation with real pipe diameters, lengths, fittings, etc..
prompt I sent (in russian):
calculate the heat distribution for these sections:
section 1: 50mm diameter, 4.1m long, with turn tee section 2: 40mm, 1.45m, with tee and so on..
what I got back:
instead of any calculation, Kimi started endlessly repeating "I'll do this in all rubles, in all dollars, in all euros.." (translation) and listed literally every currency in the world in a crazy loop for dozens of lines
It was an endless cycle, maybe something wrong with the code
it kept going for 2 hours until I manually stopped it
the weird part:
it only burned 18% of my total tokens, so it wasn't even doing real computation, just looping text
details: https://x.com/0x_kaize/status/2059236004863631428
CREAO AI WAS HACKED
The team shared on their Discord that their X was hacked. The attackers then made a post about launching some token (don't fall for it).
Sharing this news since I'm their official partner:
https://x.com/CreaoAI/status/2059689476113514755
The team shared on their Discord that their X was hacked. The attackers then made a post about launching some token (don't fall for it).
Sharing this news since I'm their official partner:
https://x.com/CreaoAI/status/2059689476113514755
Chinese labs did it again - GLM 5.2 is crushing the competition
On June 13, Z.ai dropped GLM 5.2, and it's the first open-weights model that genuinely breathes down Claude's neck and beats GPT-5.5 on coding.
numbers that are hard to ignore:
1. SWE-bench Pro: 62.1 - decisively beating GPT-5.5 (58.6) and its own predecessor GLM-5.1 (58.4) BuildShip
2. it trails Claude Opus 4.8 by just 0.7 points on FrontierSWE (75.1 vs 74.4) and 0.8 on MCP Atlas YouTube
3. On Design Arena GLM-5.2 took first place, beating even Claude Fable 5 with an Elo of 1360 BuildShip
4. First open-weights model to cross 80% on Terminal-Bench BuildShip
the brutal part - the price:
$4.40 per 1M output tokens vs $25 on Opus 4.8 - 5.7x cheaper. and 6x cheaper than GPT-5.5. plus MIT license - you can download the weights and self-host.
basically frontier-level coding for pennies. Cline literally called it a "game changer" and said "open weights is back."
BUT there's a problem!
almost everyone who started using GLM 5.2 ran into the same wall - limits running out in an hour, because most people don't understand how the billing works (the Coding Plan counts prompts, not tokens).
I was burning through everything too fast myself, until I changed 10 things.
now I code all day and almost never hit the limit.
wrote it all up in detail - the caching trick that gives an 81% discount, the free models, self-hosting, the exact Claude Code config, and 6 more habits:
https://x.com/0x_kaize/status/2068775813785506091
On June 13, Z.ai dropped GLM 5.2, and it's the first open-weights model that genuinely breathes down Claude's neck and beats GPT-5.5 on coding.
numbers that are hard to ignore:
1. SWE-bench Pro: 62.1 - decisively beating GPT-5.5 (58.6) and its own predecessor GLM-5.1 (58.4) BuildShip
2. it trails Claude Opus 4.8 by just 0.7 points on FrontierSWE (75.1 vs 74.4) and 0.8 on MCP Atlas YouTube
3. On Design Arena GLM-5.2 took first place, beating even Claude Fable 5 with an Elo of 1360 BuildShip
4. First open-weights model to cross 80% on Terminal-Bench BuildShip
the brutal part - the price:
$4.40 per 1M output tokens vs $25 on Opus 4.8 - 5.7x cheaper. and 6x cheaper than GPT-5.5. plus MIT license - you can download the weights and self-host.
basically frontier-level coding for pennies. Cline literally called it a "game changer" and said "open weights is back."
BUT there's a problem!
almost everyone who started using GLM 5.2 ran into the same wall - limits running out in an hour, because most people don't understand how the billing works (the Coding Plan counts prompts, not tokens).
I was burning through everything too fast myself, until I changed 10 things.
now I code all day and almost never hit the limit.
wrote it all up in detail - the caching trick that gives an 81% discount, the free models, self-hosting, the exact Claude Code config, and 6 more habits:
https://x.com/0x_kaize/status/2068775813785506091
Polymarket traders just bailed on GPT-5.6 - the "sure thing" bet cratered to 2%
a couple weeks ago a june release looked locked in. now the market has basically written it off.
the numbers:
1. the bet that GPT-5.6 ships in the june 22-28 window: 83% earlier this month → 2% now
2. the inverse - "not released by june 28" - now sits at 98%
3. $835k wagered on timing alone - one of polymarket's busiest tech markets right now
what's reportedly inside (nothing official from openai yet):
- 1.5M token context - ~43% jump over 5.5
- sharper UI + frontend code generation
- faster codex, stronger long-horizon agentic runs
- a rebuilt reward pipeline to kill the 5.5 reward-hacking bug
BUT
openai's been in IPO quiet period since its june 8 s-1 filing. so whenever 5.6 actually lands, it ships as a silent technical update - not a keynote.
the model looks basically done. the market just stopped pretending it knows when.
a couple weeks ago a june release looked locked in. now the market has basically written it off.
the numbers:
1. the bet that GPT-5.6 ships in the june 22-28 window: 83% earlier this month → 2% now
2. the inverse - "not released by june 28" - now sits at 98%
3. $835k wagered on timing alone - one of polymarket's busiest tech markets right now
what's reportedly inside (nothing official from openai yet):
- 1.5M token context - ~43% jump over 5.5
- sharper UI + frontend code generation
- faster codex, stronger long-horizon agentic runs
- a rebuilt reward pipeline to kill the 5.5 reward-hacking bug
BUT
openai's been in IPO quiet period since its june 8 s-1 filing. so whenever 5.6 actually lands, it ships as a silent technical update - not a keynote.
the model looks basically done. the market just stopped pretending it knows when.
Trump allegedly died of rabies after being bitten by Vance
this isn't a tabloid headline - this is what DuckDuckGo's AI search was confidently telling users as fact.
what happened:
Reddit users deliberately spread a fake story across subreddits to test how easily AI search can be manipulated, the result exceeded expectations.
DuckDuckGo AI started confidently reporting that the president is dead. added on its own that Vance also died. and that RFK Jr. recommended treating Trump with more bites - because it could give him superpowers.
one coordinated Reddit post > AI picked it up > served it as verified information to millions.
next time an AI answers you with absolute confidence - remember this!
this isn't a tabloid headline - this is what DuckDuckGo's AI search was confidently telling users as fact.
what happened:
Reddit users deliberately spread a fake story across subreddits to test how easily AI search can be manipulated, the result exceeded expectations.
DuckDuckGo AI started confidently reporting that the president is dead. added on its own that Vance also died. and that RFK Jr. recommended treating Trump with more bites - because it could give him superpowers.
one coordinated Reddit post > AI picked it up > served it as verified information to millions.
next time an AI answers you with absolute confidence - remember this!