DW

Know thyself

[Mulight 沐光🌟 @0xMulight]

救命！跑本地 Agent的API账单真的会让人破产吧？！

但这篇是来报恩的！xAI刚发布了更新，可以直接把Grok订阅账号绑到开源的HermesAgent里。以后不需要单独付API的钱，把按量计费变成无限量包月。

绑定后可以直接使用这三个功能：

I 无限调Grok模型
可以在Hermes里直接跑最新的Grok模型处理复杂推理，能让程序长期在后台干活并建立长期记忆。

I 增加语音和图片生成
除了处理文字，现在程序能直接调动Grok功能生成文字配音，或者生成图片和视频。

I 接入通讯软件
你的本地程序现在可以无缝连进WhatsApp、Discord和Telegram，在日常聊天软件里直接给它派活。

本地配置的具体操作步骤如下（附安装教程）：

第一步：在终端里运行代码安装HermesAgent

curl -fsSL https://t.co/dm84KK7BS8 | bash

第二步：安装完后在终端输入下面这行命令绑定Grok服务商

hermes model

在列表里选择xAI Grok OAuth选项，系统会跳到浏览器让你用订阅账号授权登录。

第三步：授权完成后输入下面这行命令启动控制台

hermes --tui

完成后日常工作就由Grok接管了。想了解具体的接口参数，可以去看官网说明。
https://t.co/I8xqoYNydi

[LISA @MindOS_Lisa]

0️⃣零编程基础小白DeepSeek TUI安装教程😍

从上周开始DeepSeek TUI工具刮成的一阵风，作为一位0️⃣零编程基础的妈妈👩，今天终于体验到了鲸鱼兄弟@goodhunt 到底做了一件什么造福全人类DeepSeek使用者的事情——我安装了他的工具😉

同时还简单的介绍了：
- 鲸鱼兄弟到底是谁？
- GitHub是什么？
- 在GitHub仓库怎样抄鲸鱼兄弟作业的流程？

不会编程的伙伴们快动手，极简安装！口喷讲话就可以编程！

会编程的伙伴们欢迎转发收藏，告诉大部分不会编程的伙伴们，DeepSeek TUI 真的很好用！很省token费！谢了🌹

[凡人小北 @frxiaobei]

知识产权全面沦陷。

发明专利生成 skill
https://t.co/fq4X8PwWBF

软著生成 skill
https://t.co/mSJFhzapJG

设计专利/实用新型更容易，claude desgin/ image2

[Kyle Hessling @KyleHessling1]

Hello again, everyone!

Our latest Qwopus3.6-35B-A3B-v1 is now live, and it is once again breathtaking!

Full HF space benchmark showcase and write-up is in the comments, so you can make conclusions for yourself! GGUF Link below!

We had some issues to fix in our training with this one, as we hit it much harder with more sophisticated processes. Which is why it took so long to complete, but it was totally worth it! This model performs like a significantly larger model, and runs at an incredible 162tps on a single 5090 straight out of the box!

The web front ends are exceeding the capability of the base Qwen 3.6 27B in my opinion. This model outputs significantly more complete web pages with the exact same prompts in one go. It is more verbose, but in a good way for this sort of work!

Thinking efficiency seems to be improved over the base 35b as well, and at no cost to output quality or depth, which is incredible! It thinks more carefully when the prompt rewards depth, but the output quality reflects this rather than waiting an eternity for a basic answer, like with the base models!

Those with less VRAM can run this at very usable speeds, partially offloaded to system RAM, and it performs comparably if not better than the base 27B dense version. So if you can't fit the 27B on your GPU, this one offers enhanced capability and speed when offloaded. Or if you can fit the 27B, this one seems to perform better at over 3x the speed!
Give
I truly believe Qwopus3.6-35B-A3B-v1 at Q5_K_M is one of the strongest one-shot front-end and reasoning models you can run on consumer hardware right now! Would love to see what you all can make with it!

Really excited to hear your feedback! GIve it a thorough benchmark and let us know any idiosyncrasies you may discover!

I am all ears in the comments, and new 27B is still training but will be complete soon! https://t.co/K4TSqooGLr

[Geek @geekbb]

DeepSeek 官方精选收录操作指南，把 DeepSeek-V4-Pro/V4-Flash 模型接入各种 AI Agent 和编程辅助工具。

涵盖了安装、配置和首次运行，包括 Claude Code、GitHub Copilot、OpenCode、Hermes 等十个工具的接入教程，附带 DeepSeek 平台和 API 文档入口。

https://t.co/DdmQT6uiWq

[David Wang @DavidWangPLA]

🔸The AVIC J-36 Prototype 02 is Out Once More || 6th Gen Fighter Jet Chengdu

[DW @FreakDarcy]

@nuwangzi @RupprechtDeino could u show the title of this paper

[Atlètic Lleida @atletic_lleida]

El jugador Kuang Zhaolei arribarà aquest divendres 1 d’agost per començar els entrenaments amb l’equip. Benvingut a Lleida!

我們很高興地宣布，球員 Kuang Zhaolei 將於 8月1日星期五 抵達，並開始與球隊一起訓練。歡迎來到萊里達！

#BenvingutKuang #AtleticLleida #新球員 #KuangZhaolei

[Atlètic Lleida @atletic_lleida]

🆕 FITXATGE | Kuang Zhaolei 2027
Talent jove amb projecció internacional.

Kuang Zhaolei, extrem xinès de 16 anys, s’incorpora a l’Atlètic Lleida com una de les grans promeses del futbol asiàtic. Internacional amb la selecció Sub-16 de la Xina i format recentment a les categories inferiors de la UE Damm, destaca per la seva velocitat, regat i desbordament.

Farà la pretemporada amb el primer equip, dins d’un entorn ideal per continuar desenvolupant el seu talent.

Benvingut, Kuang! 💙

[KUNLUN昆侖 @Kunluntalk]

突发：伊朗对美国的核威胁已经解除。

美国出手，选择在伊朗今天凌晨时间，空袭了伊朗三个核基地，完成了所有预定投弹，如果没有误差，基本上宣告伊朗铀浓缩能力彻底报废。

川普宣布：

我们已经成功地对伊朗的三个核基地——包括福特瓦、纳坦兹和伊斯法罕——实施了打击。

所有飞机均已飞离伊朗领空，投下了全部预定数量的炸弹。

所有飞机均已安全返航。祝贺我们伟大的美国勇士，世界上没有哪个国家的军队能够完成这样的任务。

现在是时候追求和平了！感谢您的关注。

[DW @FreakDarcy]

https://t.co/sDns7xkUCR

[Adrian Dittmann @AdrianDittmann]

Grok 3 Launch Livestream
https://t.co/jpQjuMRWQm

[鈴木設計局（SDL） @suzukidesignlab]

F-15のエンジンノズルの動き試作1
#模型　#戦闘機　#f15 #ジェットエンジン　#エスコン

[Chris Combs (iterative design enjoyer) @DrChrisCombs]

This thing really looks alien

Giving some strong "NOPE" vibes

[Computational Fluid Dynamics group @CFDonia]

Following many two-dimensional turbulence animations, it is time to share computer code! Implementation of a vorticity-streamfunction method with a pseudo-spectral discretization + third-order Runge-Kutta for time integration (our CFD class semester project). The @MATLAB code:

M = 256; % number of points
N = M;
Lx = 2*pi;
Ly = 2*pi;
nu = 5e-4; % kinematic viscosity
Sc = 0.7; % Schmidt number
beta = 0; % meridional gradient of Coriolis parameter
ar = 0.02; %random number amplitude
b = 1; % mean scalar gradient
CFLmax = 0.8;
tend = 200; % end time

x=linspace(0,Lx,M+1); x(end)=[];
dx = Lx/M;
kx=[0:M/2 -M/2+1:-1]*2*pi/Lx;

y=linspace(0,Ly,N+1); y(end)=[];
ky=[0:N/2 -N/2+1:-1]*2*pi/Ly;
dy = Ly/N;

time = 0;

index_kmax = ceil(M/3);
kmax = kx(index_kmax);
filter = ones(M,N);
filter(index_kmax+1:2*index_kmax+3,index_kmax+1:2*index_kmax+3)=0;

rng(64);

[u, v, omega, psi, ddx, ddy, idel2, kk, k2]=deal(zeros(M,N));

for j=1:N
ddx(:,j)=1i*kx;
end

for i=1:M
ddy(i,:)=1i*ky;
end

for i=1:M
for j=1:N
idel2(i,j)=-kx(i)^2-ky(j)^2;
end
end
idel2=1./idel2;
idel2(1,1)=0;

for i=1:M
for j=1:N
kk(i,j)=kx(i)^2+ky(j)^2;
k2(i,j)=kx(i)^2+ky(j)^2;
if kk(i,j) >= 6^2 && kk(i,j) <= 7^2 % forcing
kk(i,j) = -kk(i,j);
end

if kk(i,j) <= 2^2
kk(i,j) = 8*kk(i,j); % large-scale dissipation
end
end
end

for i=1:M
for j=1:N
u(i,j) = cos(2*x(i))*sin(2*y(j))+ar*rand;
v(i,j) = -sin(2*x(i))*cos(2*y(j))+ar*rand;
end
end

uhat = fft2(u);
vhat = fft2(v);
omegahat = ddx.*vhat - ddy.*uhat; % make vorticity

phi = rand(size(u));
phihat = fft2(phi);

ncid = netcdf.create('https://t.co/9x7XLWl2MH', 'CLOBBER');

dimid_x = netcdf.defDim(ncid, 'x', M);
dimid_y = netcdf.defDim(ncid, 'y', N);
dimid_time = netcdf.defDim(ncid, 'time', netcdf.getConstant('NC_UNLIMITED'));

varid_x = netcdf.defVar(ncid, 'x', 'NC_FLOAT', [dimid_x]);
varid_y = netcdf.defVar(ncid, 'y', 'NC_FLOAT', [dimid_y]);
varid_u = netcdf.defVar(ncid, 'u', 'NC_FLOAT', [dimid_x, dimid_y, dimid_time]);
varid_v = netcdf.defVar(ncid, 'v', 'NC_FLOAT', [dimid_x, dimid_y, dimid_time]);
varid_omega = netcdf.defVar(ncid, 'vorticity', 'NC_FLOAT', [dimid_x, dimid_y, dimid_time]);
varid_phi = netcdf.defVar(ncid, 'scalar', 'NC_FLOAT', [dimid_x, dimid_y, dimid_time]);
varid_dissipation = netcdf.defVar(ncid, 'dissipation', 'NC_FLOAT', [dimid_x, dimid_y, dimid_time]);
varid_time = netcdf.defVar(ncid, 'time', 'NC_FLOAT', [dimid_time]);
netcdf.endDef(ncid);

netcdf.putVar(ncid, varid_time, 0, 1, time);
netcdf.putVar(ncid, varid_x, 0, M, x);
netcdf.putVar(ncid, varid_y, 0, N, y);
netcdf.putVar(ncid, varid_phi, [0, 0, 0], [M, N, 1], phi);
netcdf.putVar(ncid, varid_u, [0, 0, 0], [M, N, 1], u);
netcdf.putVar(ncid, varid_v, [0, 0, 0], [M, N, 1], v);
netcdf.putVar(ncid, varid_omega, [0, 0, 0], [M, N, 1], omega);
netcdf.putVar(ncid, varid_dissipation, [0, 0, 0], [M, N, 1], 0*omega);

dt = 0.5*min([dx dy]);

nstep = 1;

while time < tend

psihat = -idel2.*omegahat;
uhat = ddy.*psihat;
vhat = -ddx.*psihat;

u = real(ifft2(uhat));
v = real(ifft2(vhat));

omegadx = real(ifft2(ddx.*omegahat));
omegady = real(ifft2(ddy.*omegahat));

facto = exp(-nu*8/15*dt*kk);
factp = exp(-nu/Sc*8/15*dt*k2);

r0o = -fft2(u.*omegadx+v.*omegady)+beta*vhat;
r0p = -fft2(u.*real(ifft2(ddx.*phihat))+v.*real(ifft2(ddy.*phihat)))+b*vhat;

omegahat = facto.*(omegahat + dt*8/15*r0o); % update omega
phihat = factp.*(phihat + dt*8/15*r0p); % update phi

%%%% Substep 2
psihat = -idel2.*omegahat;
uhat = ddy.*psihat;
vhat = -ddx.*psihat;

u = real(ifft2(uhat));
v = real(ifft2(vhat));

omegadx = real(ifft2(ddx.*omegahat));
omegady = real(ifft2(ddy.*omegahat));

r1o = -fft2(u.*omegadx+v.*omegady)+beta*vhat;
r1p = -fft2(u.*real(ifft2(ddx.*phihat))+v.*real(ifft2(ddy.*phihat)))+b*vhat;

omegahat = omegahat + dt*(-17/60*facto.*r0o + 5/12*r1o);
phihat = phihat + dt*(-17/60*factp.*r0p + 5/12*r1p);
facto = exp(-nu*(-17/60+5/12)*dt*kk);
factp = exp(-nu/Sc*(-17/60+5/12)*dt*k2);
omegahat = omegahat.*facto;
phihat = phihat.*factp;

%%%% Substep 3
psihat = -idel2.*omegahat;
uhat = ddy.*psihat;
vhat = -ddx.*psihat;

% max(max(abs(real(ifft2(1i*ddx.*uhat+1i*ddy.*vhat))))) % divergence

u = real(ifft2(uhat));
v = real(ifft2(vhat));

omegadx = real(ifft2(ddx.*omegahat));
omegady = real(ifft2(ddy.*omegahat));

r2o = -fft2(u.*omegadx+v.*omegady)+beta*vhat;
r2p = -fft2(u.*real(ifft2(ddx.*phihat))+v.*real(ifft2(ddy.*phihat)))+b*vhat;
omegahat = omegahat + dt*(-5/12*facto.*r1o + 3/4*r2o);
phihat = phihat + dt*(-5/12*factp.*r1p + 3/4*r2p);
facto = exp(-nu*(-5/12+3/4)*dt*kk);
factp = exp(-nu/Sc*(-5/12+3/4)*dt*kk);
omegahat = omegahat.*facto;
phihat = phihat.*factp;

phihat = filter.*phihat;
omegahat = filter.*omegahat;

time = time + dt;
nstep = nstep + 1;

CFL = max(max(abs(u)))/dx*dt+max(max(abs(v)))/dy*dt;

if mod(nstep,20)==0
phi = real(ifft2(phihat));
omega = real(ifft2(omegahat));
dissipation = 2*nu*(real(ifft2(ddx.*uhat)).^2 + real(ifft2(ddy.*uhat)).^2 + real(ifft2(ddx.*vhat)).^2 + real(ifft2(ddy.*vhat)).^2);
eta = (nu^3/mean(dissipation,'all'))^0.25;

subplot(221); pcolor(x,y,omega'); title('Vorticity'); shading flat; axis equal tight; colorbar; drawnow
subplot(222); pcolor(x,y,phi'); title('Scalar'); shading flat; axis equal tight; colorbar; drawnow
subplot(223); pcolor(x,y,dissipation'); title('Dissipation'); shading flat; axis equal tight; colorbar; drawnow
subplot(224); pcolor(x,y,u); title('u-velocity'); shading flat; axis equal tight; colorbar; drawnow

fprintf(1,'step = %d time = %g dt = %g CFL = %g kmax*eta = %g %g\n', nstep, time, dt, CFL, eta.*kmax, eta.*kmax/sqrt(Sc));

[~, dim_time_len] = netcdf.inqDim(ncid,dimid_time);

netcdf.putVar(ncid, varid_time, [dim_time_len], [1], time);
netcdf.putVar(ncid, varid_phi, [0, 0, dim_time_len], [M, N, 1], phi);
netcdf.putVar(ncid, varid_u, [0, 0, dim_time_len], [M, N, 1], u);
netcdf.putVar(ncid, varid_v, [0, 0, dim_time_len], [M, N, 1], v);
netcdf.putVar(ncid, varid_omega, [0, 0, dim_time_len], [M, N, 1], omega);
netcdf.putVar(ncid, varid_dissipation, [0, 0, dim_time_len], [M, N, 1], dissipation);
netcdf.sync(ncid);
end

dt = CFLmax/CFL*dt; %0.0005;
end

netcdf.close(ncid);

[MATLAB @MATLAB]

🚀🤖 MATLAB + OpenAI's GPT = Your own chatbot! Dive into NLP tasks like sentiment analysis with ease. #AI

✅ Integrate GPT-3.5-turbo/GPT-4
😊 Deep sentiment analysis
🤖 Smart chatbots
🛠️ Text Analytics Toolbox

Advance your #MATLAB #NLP skills ⤵️

[MATLAB @MATLAB]

Integrate ChatGPT and DALL·E into MATLAB!

Explore our code examples for connecting MATLAB to powerful language and image AI models 💻

✨ #MATLAB #AI

[BaA43A3aHY @BaA43A3aHY]

MiG-23 air intakes design.

Whenever somebody brings up the MiG-23 intakes, there is always that person who just has to say "yeah, it's just a copy of the F-4 Phantom intakes, they even copied the number of boundary-layer bleed holes and those struts that are meant to cut the...

[Girguis Sedky @GirguisS]

If you're ever curious about the separated wake behind an airfoil, here is a 1000 fps gif snippet flow visualization in a wind tunnel!